7 Regression Analysis Jobs nearby Mumbai

As a Machine Learning Engineer at our company, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex business problems across various product platforms such as Logistics & Maritime. Your key responsibilities will include: - Collaborating with cross-functional teams to understand business requirements and translating them into AI/ML solutions. - Exploring and pre-processing large datasets to ensure data quality and relevance for model training. - Utilizing AWS or Azure-based cloud services for data storage, processing, and model deployment. - Building and optimizing AI models like TensorFlow to achieve high performance and accuracy. - Conducting model training, parameter tuning, and performance evaluation to continuously improve model performance. - Keeping up-to-date with the latest advancements in AI/ML technologies and contributing to the research and adoption of new techniques. - Performing data analysis and visualization to provide insights and support data-driven decision-making. - Working on bringing AI-driven features to various products to enhance automation, prediction, and recommendation capabilities. - Developing and maintaining documentation for AI models, data pipelines, and experiments. Qualifications and Experience: - Education: Bachelor's or Master's degree in Engineering Science, Data Science, or related field. - Experience: 1-2 years of relevant experience in AI/ML techniques, model building, and data science. Key Skills: - Experience in working with AI/ML for Logistics and Maritime products is preferable. - Understanding of business challenges in Logistics and Maritime industries. - Prior experience in integrating AI/ML into existing products. - Proficiency in programming languages like Python, R, or Java for data manipulation and model implementation. - Strong knowledge of machine learning algorithms, including supervised and unsupervised learning, regression, classification, and clustering. - Hands-on experience with AWS or Azure-based tools for data storage, processing, and cloud-based AI services. - Familiarity with popular AI frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn for model development. - Demonstrated ability to work on end-to-end AI/ML projects, from data exploration and pre-processing to model deployment. - Solid understanding of data structures, data wrangling, and feature engineering techniques. - Strong analytical and critical thinking skills, with a keen eye for detail. - Excellent communication and collaboration skills to work effectively in a team environment. - Ability to work with diverse product teams in multiple verticals. Preferred Skills: - Experience with SQL & data tools. - Hands-on exposure to time-series forecasting, clustering, regression, and classification models. - Knowledge of optimization algorithms (linear programming, heuristics, genetic algorithms). - Exposure to/experience with fine-tuning of AI models. (Note: Additional company details are not provided in the job description),

As a Mobile Game Tester at our company, you will play a crucial role in ensuring the quality and success of our existing and upcoming games. Your responsibilities will include: - Creating and executing the QA project test plan, covering functionality, balance, stability, performance, interface, art, sound, text, documentation, and other aspects of testing. - Testing games across various platforms to gain extensive knowledge of each. - Finding, reproducing, and accurately reporting issues in detailed bug reports. - Carrying out examination and revision of reported issues. - Providing clear and concise critical analysis and feedback when requested. - Participating in a close-knit, friendly atmosphere, sharing ideas, and helping others when needed. - Learning about and adhering to our internal systems, software, and processes. - Performing all types of testing including Functionality, Compatibility, Explorative, Usability, and Regression. - Regularly exploring innovative methods to improve the testing process. - Reporting encountered bugs in the bug database (Jira) with proper STR and attachment if needed. - Providing feedback and suggestions to the development team regarding the game. - Sending a daily status report to the team lead. - Writing test cases and executing them. - Escalating issues regarding team motivation, working, bonding, conflicts to the team lead, and suggesting viable actions. - Mentoring and training juniors as per the requirement. - Offering constant and relevant feedback related to progress, risks, and needs that may occur. - Being proficient with QA Tools. - Having experience in test script, test case, test suite, and test plan creation. - Assisting the Production/Development team in tracking down issues and working out the steps to reproduce for easier fixing. To be eligible for this role, you should meet the following qualifications: - Minimum 6 years of experience in mobile game testing. - Competent gaming ability. - An interest in and understanding of the video game industry. - Good general PC knowledge, including experience with the Microsoft Office suite. - Good standard of written English.,

A Quality Engineering Lead is responsible for developing, implementing, and overseeing quality assurance strategies, leading a team to ensure software and system quality. Key responsibilities include creating test plans, reviewing test cases, leading manual and automated testing efforts, and collaborating with other teams to resolve issues. Essential skills include strong leadership, analytical and problem-solving abilities, communication, a deep understanding of quality methodologies, and expertise in test automation tools and programming languages. Job description    Team Leadership: Lead, mentor, and manage a team of quality engineers, delegate tasks, and provide feedback.    Quality Strategy: Develop and implement comprehensive quality assurance and test strategies.    Test Planning and Execution: Create and maintain detailed test plans, test cases, and test scripts, and oversee both manual and automated testing execution.    Defect Management: Lead regression and smoke testing, prioritize bug reports, and work with developers and stakeholders to resolve issues.    Collaboration: Act as a quality subject matter expert, collaborating with cross-functional teams like development, product, and project management.    Process Improvement: Monitor and evaluate the effectiveness of testing processes, identify trends, and implement improvements to enhance quality and efficiency.    Reporting: Analyze and report on quality metrics and test results. 

Role Overview: As a Quantitative Trader at Dolat Capital located in Andheri West, Mumbai, you will be responsible for applying game theory in a practical setting to maximize trading opportunities, develop gaming skills, provide quantitative analysis of trading data, contribute to designing models and algorithms, and work in a fast-paced environment analyzing a large amount of data. You will be part of a team that prototypes and market-tests new concepts in various stock markets and commodities. Your primary focus will be on operating, developing, and implementing computational algorithms and strategies that generate profits in high-frequency trading environments. Key Responsibilities: - Apply game theory in practical settings to maximize trading opportunities - Develop gaming skills through mock games like poker and apply them to actual trading scenarios - Provide quantitative analysis of trading data - Contribute to designing models and algorithms for in-house product development - Work in a fast-paced environment analyzing a large amount of data - Develop prediction algorithms and regression models - Implement algorithms in C++, R, MATLAB, and Python environments - Prototype and market-test new concepts in various stock markets and commodities - Operate, develop, and implement computational algorithms/strategies in high-frequency trading environments Qualifications Required: - Bachelor's or Master's degree in Mathematics, Statistics, Physics, Computer Science Engineering, Electrical Engineering, or Financial Engineering - Excellent knowledge in Data Analysis and Algorithm Analytical reasoning - Reasonable knowledge of programming, preferably exposure to object-oriented language like C++ - Strong collaboration skills with the ability to exchange ideas, actively listen, and communicate effectively - Motivated by high standards and consistently putting in hard work to achieve goals Additional Details: At Dolat Capital, you will be part of a team of traders, puzzle solvers, and coding aficionados who thrive on learning and solving complex problems in the financial world. The company specializes in trading in volatile market conditions with grace and refining cutting-edge technologies and strategies. If you are excited by technology, trading, and critical thinking, Dolat Capital offers a perfect environment to trade your skills and enhance them further.,

As the Lead QA for a data-intensive application in Navi Mumbai (Vashi), your role will involve owning the end-to-end quality of the Web UI and backend services. You will be responsible for functional, regression, data validation, and basic performance testing for APIs, UI workflows, and database layers. Your tasks will include hands-on testing, light automation, Linux operations, and leading a team to ensure reliable releases at scale. **Key Responsibilities:** - Lead a 36 member QA pod by planning, conducting reviews, providing coaching, and ensuring release readiness. - Define testing strategy and create test cases for Web UI and REST APIs, covering functional, negative, integration, and regression scenarios. - Develop and manage Postman collections (preferred) and execute them using Newman in continuous integration. - Conduct data-centric testing by seeding data, validating business rules with SQL, and cross-verifying API/UI outputs with MySQL. - Manage non-prod Linux environments, including package installations, services/logs maintenance, basic networking tasks, and CLI debugging. - Utilize Docker and docker-compose to deploy application stacks, handle environment variables, volumes, and networks for reproducible testing. - Collaborate with Product/Engineering teams on issue triage, risk assessment, defining entry/exit criteria, and establishing quality metrics. - Validate LI/LBS/IPDR features with a focus on record correctness, retention, export formats, and evidentiary integrity (preferred domain expertise). **Qualifications Required:** - 6 years of experience in QA, with at least 13 years in a leadership role managing a team or pod. - Proficiency in Web and API testing, including authentication flows, pagination, idempotency, rate limits, and error codes. - Strong command over Linux operations, covering services management, log analysis, permissions, networking fundamentals, and comfort with scripting. - Experience in database testing with expertise in SQL (joins, aggregates), test data design; familiarity with MySQL is preferred. - Knowledge of Docker for building and running images, understanding docker-compose basics for multi-service stacks. - Familiarity with Postman, including managing environments, variables, pre/post scripts, and utilizing collection runners. - Proficiency in tools like Git, Jira (or similar), basic understanding of CI systems like Jenkins/GitLab CI. Ability to write clear defect reports, capture evidence, and communicate effectively with stakeholders. If you are interested in this opportunity, you can send your resume to hr@pertsol.com.,

As a Data Scientist at RBHU ETG Pvt. Ltd., you will play a crucial role in solving complex business problems through advanced analytics and machine learning techniques. Your responsibilities will include: - Analyzing large and diverse datasets to derive actionable insights for strategic decision-making. - Developing and implementing machine learning models such as classification, regression, and clustering with a focus on scalability and performance. - Conducting feature engineering, data cleaning, preprocessing, and exploratory data analysis. - Collaborating with cross-functional teams to understand business requirements and translate them into analytical and machine learning solutions. - Building and maintaining data pipelines, ensuring data quality and consistency across different sources. - Monitoring model performance, conducting retraining as necessary, performing A/B testing, and managing model versioning. - Communicating findings effectively through dashboards, visualizations, and reports for both technical and non-technical stakeholders. - Mentoring and guiding junior data scientists/analysts, reviewing code, and advocating for best practices. - Keeping abreast of the latest trends, tools, and research in AI/ML to evaluate their relevance in our environment. Qualifications we are looking for in a candidate include: - 4-6 years of experience in roles such as Data Scientist, Machine Learning Engineer, or similar. - Proficiency in Python (preferred) and/or R, along with experience in SQL. - Hands-on expertise in ML frameworks like scikit-learn, TensorFlow, PyTorch, XGBoost, etc. - Strong knowledge of statistics, probability, hypothesis testing, and experimental design. - Skills in data engineering including ETL pipelines, data wrangling, and handling large-scale datasets. - Familiarity with cloud platforms and services such as AWS, GCP, Azure, Sagemaker, BigQuery, Databricks, etc. - Experience in deploying and maintaining models in production following MLOps practices. - Strong analytical, problem-solving, and communication skills, along with familiarity with visualization tools like Tableau, Power BI, Plotly, etc. - Ability to thrive in a fast-paced, agile environment, being self-motivated and detail-oriented. Additionally, the following qualifications are considered nice to have: - Experience in natural language processing, computer vision, or deep learning. - Knowledge of time series forecasting, anomaly detection, and big data technologies like Spark, Hadoop, Kafka, etc. - Sector-specific analytics experience in fintech, e-commerce, healthcare, or other industries. - Previous mentorship or small-team leadership experience. At RBHU ETG Pvt. Ltd., you can expect: - A collaborative and learning-oriented work environment where your ideas are valued. - Exposure to challenging and high-impact projects in Mumbai and beyond. - Opportunities to work across the full stack of data science and deployment. - Professional growth and mentorship opportunities. - Competitive salary and benefits. (Note: Additional details about the company were not provided in the job description),

As a Test Engineer with 4+ years of experience in Avionics/UAV software/Embedded application testing for mission/safety-critical systems, your main responsibilities will include creating test design, setting up the testing environment, assisting in black box and firmware testing, and ensuring thorough testing of functional and non-functional requirements. You will also be expected to develop test automation scripts or frameworks using languages like C++, Python, Java, or any scripting language, and take ownership of Product and Software quality assurance. Key Responsibilities: - Conduct requirement analysis, design test data & scenarios, and execute test cases - Collaborate with cross-functional teams to determine functional and non-functional requirements for new software or applications - Explore and implement effective test design techniques and V&V tools for performance testing - Develop test cases and scripts for common SDLC test phases including FIT/SIT, UAT, regression, performance testing, and security testing - Design and develop test automation scripts and framework - Ensure timely delivery and quality of deliverables for assigned work - Understand and promote safe practices in R&D projects Qualifications: - Degree in Aerospace Engineering, Aeronautical Engineering, Electrical/Electronics & Communication, or equivalent - Proven experience in testing UAV/avionics features or software applications, including various testing types such as black box, smoke, regression, stress/volume, alpha, beta, and automation testing - Hands-on experience with automation projects using tools like Python, Java, Jenkin, GIT, and bug tracking tools like Jira and ALM - Knowledge of Avionics standards for Airborne Systems and Equipment Certification, such as DO-178B/CEMILAC, would be an added advantage Additional Company Details: - The company places a strong emphasis on safety criticality, robustness, reliability, extendibility, and flexibility in product specifications - You will be expected to work closely with various teams to ensure high-quality testing practices are followed - The company values expertise in aerospace engineering, UAV technology, automated software testing, and embedded software Please let me know if you need any further information or clarification.,

Role Overview: Buildings are becoming smarter with connected technologies, leading to increased data accessibility from sensors. Johnson Controls is at the forefront of providing AI-enabled enterprise solutions for optimized energy usage, automatic generation of building insights, and predictive maintenance for devices. The Data Strategy & Intelligence team is seeking a Data Scientist to contribute to developing and deploying machine learning/Generative AI and time series analysis models in production. Key Responsibilities: - Help develop and maintain AI algorithms and capabilities within digital products - Utilize data from commercial buildings to apply machine learning and advanced algorithms for optimizing energy consumption, reducing CO2 emissions, enhancing user comfort, and generating actionable insights for improving building operations - Translate data into direct recommendations for stakeholders - Collaborate with product managers to design new AI capabilities - Explore and analyze available datasets for potential applications - Write Python code to develop ML/Generative AI/time series prediction solutions addressing complex business requirements - Research and implement state-of-the-art techniques in Generative AI solutions - Pre-train and fine-tune ML over CPU/GPU clusters while optimizing for trade-offs - Follow code-quality standards and best practices in software development - Develop and maintain test cases to validate algorithm correctness - Assess failures to identify causes and plan fixes for bugs - Communicate key results to stakeholders - Leverage JIRA to plan work and track issues Qualifications Required: - Bachelor's / Masters degree in Computer Science, Statistics, Mathematics, or related field - 5+ years of experience in developing and deploying ML Models with a proven track record of delivering production-ready ML models - Proficiency with Python and standard ML libraries such as PyTorch, Tensorflow, Keras, NumPy, Pandas, scikit-learn, Matplotlib, Transformers - Strong understanding of ML algorithms and techniques including Regression, Classification, Clustering, Deep Learning, NLP / Transformer models, LLMs, and Time Series prediction models - Experience in developing SOA LLM frameworks and models (Azure OpenAI, Meta Llama, etc), advanced prompt engineering techniques, LLMs fine-tuning/training - Experience in working with cloud-based ML/GenAI model development/deployment on AWS / GCP / Azure - Excellent verbal and written communication skills Additional Details: - Prior Domain experience in smart buildings and building operations optimization - Experience in working with Microsoft Azure Cloud,

You will be a SAP SRM Consultant responsible for supporting SAP SRM module in a global environment within SAP Hana environment. Your role will involve converting business requirements into Functional Specification documents, understanding and resolving support tickets as per SLA, configuring SAP System with SRM module, analyzing integration requirements with other SAP modules and Non-SAP systems, troubleshooting defects, and conducting regression testing and System integration testing. - Convert business requirements into Functional Specification documents - Understand and resolve support tickets as per SLA - Convert key business requirements into technical specification documents - Configure SAP System with SRM module as per specified requirements - Create impact analysis documents - Analyze, research, troubleshoot, and resolve defects arising from processes - Conduct regression testing and System integration testing - 4-6 years of experience in SAP support projects in SRM - Good communication, client-facing, verbal, and written skills (Note: Omitted additional details section as it did not contain any relevant information for the job description.),

Role Overview: You will work with cross-functional and cross-regional teams for data analysis, monitoring, and forecasting. You will be responsible for creating logic and implementing strategies, providing requirements to data scientists and technology teams, as well as communicating with global stakeholders to ensure the best possible customer experience. Key Responsibilities: - Lead the development and implementation of advanced analytical models and algorithms to support decision-making processes. - Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets. - Collaborate with business stakeholders to understand their needs and requirements, translating them into actionable analytical solutions. - Design and conduct experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions. - Mentor and coach junior team members, providing guidance on technical skills and professional development. - Communicate findings and recommendations to stakeholders through data visualization, reports, and presentations. - Stay current with the latest advancements in data science, machine learning, and technology trends, evaluating their potential impact on the business. Qualifications: - Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field. - 4-8 years of experience in data analysis, statistical modeling, and machine learning, with a proven track record of delivering actionable insights and solutions. - Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries. - Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design. - Experience working with cloud technologies (especially Azure) is preferred. - Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes. - Prior experience in a senior-level role is preferred. Additional Company Details: FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 Worlds Most Admired Companies by "Fortune" magazine. FedEx operates with a People-Service-Profit philosophy, emphasizing care for employees, outstanding customer service, and reinvestment of profits back into the business and people. The company values diversity, equity, and inclusion in the workforce, providing growth opportunities for all.,

Role Overview: Johnson Controls is seeking a Data Scientist to join the Data Strategy & Intelligence team. As a Data Scientist, you will be responsible for developing and deploying machine learning/Generative AI and time series analysis models in production. Your role will be crucial in contributing to optimized energy utilization, auto-generation of building insights, and enabling predictive maintenance for installed devices. Key Responsibilities: - Help develop and maintain AI algorithms and capabilities within digital products - Utilize data from commercial buildings to apply machine learning, GenAI, or other advanced algorithms for optimizing building energy consumption, occupancy, reducing CO2 emissions, enhancing user comfort, and more - Generate actionable insights to improve building operations and translate data into recommendations for stakeholders - Contribute as a member of the AI team with assigned tasks - Collaborate with product managers to design new AI capabilities - Explore and analyze available datasets for potential applications - Write Python code to develop ML/Generative AI/time series prediction solutions addressing complex business requirements - Research and implement state-of-the-art techniques in Generative AI solutions - Pre-train and finetune ML over CPU/GPU clusters while optimizing for trade-offs - Follow code-quality standards and best practices in software development - Develop and maintain test cases to validate algorithm correctness - Assess failures to identify causes and plan fixes for bugs - Communicate key results to stakeholders - Leverage JIRA to plan work and track issues Qualifications Required: - Bachelor's / Masters degree in Computer Science, Statistics, Mathematics, or related field - 5+ years of experience in developing and deploying ML Models with a proven record of delivering production-ready ML models - Proficiency with Python and standard ML libraries such as PyTorch, Tensorflow, Keras, NumPy, Pandas, scikit-learn, Matplotlib, Transformers - Strong understanding of ML algorithms and techniques including Regression, Classification, Clustering, Deep Learning, NLP / Transformer models, LLMs, and Time Series prediction models - Experience in developing SOA LLM frameworks and models (Azure OpenAI, Meta Llama, etc), advanced prompt engineering techniques, LLMs fine-tuning/training - Experience in working with cloud (AWS / GCP / Azure) based ML/GenAI model development/deployment - Excellent verbal and written communication skills Additional Details: - Prior domain experience in smart buildings and building operations optimization is preferred - Experience in working with Microsoft Azure Cloud.,

You have over 10 years of experience in the Guidewire suite, specifically in Claim Center, Policy Center, and Billing Center. Your role involves leading the end-to-end test strategy and execution across these modules. You are an expert in cross-module integration testing, ensuring smooth data flow and functionality between platforms. Your responsibilities include: - Developing and implementing testing frameworks for complex Guidewire system upgrades and migrations - Conducting functional, regression, automation, and performance testing across modules - Collaborating with cross-functional teams to align claims, policy, and billing processes - Driving test optimization and continuous improvement in Agile environments - Overseeing defect management, risk analysis, and test reporting across modules - Utilizing test management tools such as JIRA, ALM, MTM, and Rally for efficient planning and execution - Providing technical leadership and mentorship to QA teams Qualifications required for this role: - Guidewire certification - Experience with large-scale upgrade/migration projects You may also have the opportunity to work with a company that values innovation and teamwork, which can provide a stimulating work environment.,

As a part of M&G Global Services Private Limited, your role will involve the following key responsibilities: - Execute functional and regression testing across life and pension platforms and downstream systems. - Analyze business requirements and translate them into detailed test scenarios and cases. - Perform deep technical analysis and debugging of issues across integrated systems. - Collaborate with agile teams to ensure early validation and shift-left testing practices. - Ensure traceability of requirements to test cases and defects. - Use AI/ML tools for test optimization, defect clustering, and predictive analytics. - Support test data preparation and environment readiness for both cloud and on-premise deployments. - Maintain test documentation and contribute to knowledge repositories. - Participate in sprint planning, retrospectives, and agile ceremonies. You will be accountable for: - Delivery of functional testing outcomes within sprint timelines. - Identification and resolution of defects with minimal leakage post-release. - Enablement of agile teams through proactive test support and collaboration. - Continuous improvement of test coverage and test effectiveness. - Compliance with internal quality standards and regulatory requirements. At M&G Global Services, we aim to be the best loved and most successful savings and investments company in the world. Join us to be a part of our diversified service offerings and exciting career growth opportunities.,

As a Senior Data Analyst in the Operations department at Route Mobile in Mumbai, your role involves analyzing large datasets related to pricing, market trends, and competitor activity. You will develop and optimize pricing strategies, providing data-driven insights to inform key business decisions. Collaboration with sales, marketing, and finance teams to implement pricing changes and maximize profitability is crucial. **Key Responsibilities:** - Integrate data from various sources to create a comprehensive view of the SMS, Flashcall, and Omnichannel performance. - Analyze large datasets to identify trends, patterns, correlations, and anomalies. - Partner with cross-functional teams to deliver automated reporting and dashboards. - Create data visualizations and reports to present data-driven insights. - Apply statistical methods and data visualization techniques to present findings. - Document data analysis processes, methodologies, and results for future reference. - Collaborate with cross-functional teams to integrate data from different sources/platforms and help create a unified view. - Conceptualize and run analyses that generate insights on traffic patterns to further develop and improve market position. - Supervise a BPO team in charge of suppliers cost management, coach the team, and support automation of the process (Potentially short term/until platforms harmonization). **Data Analysis and Modeling:** - Extract, clean, and transform complex pricing data from various sources (CRM, sales data, market research). - Build statistical models and predictive algorithms to forecast pricing impacts on revenue and profitability. - Analyze customer segmentation data to identify price sensitivity and optimal pricing tiers. **Pricing Strategy Development:** - Identify market trends and competitor pricing to inform pricing strategy adjustments. - Develop and evaluate different pricing models (cost-plus, value-based, competitive) based on market analysis. - Conduct sensitivity analysis to assess the impact of pricing changes on key metrics. **Business Collaboration:** - Partner with sales teams to identify pricing opportunities and address customer pricing concerns. - Collaborate with marketing to align pricing strategies with product positioning and promotions. - Present data-driven insights and pricing recommendations to senior management. **Reporting and Visualization:** - Create comprehensive pricing reports and dashboards to monitor performance and identify areas for improvement. - Utilize data visualization tools to effectively communicate complex pricing insights to stakeholders. **Skills & Qualifications:** - **Education:** A bachelor's degree in a relevant field like statistics, computer science, or business. - **Technical Skills:** Advanced proficiency in SQL, data manipulation, and analysis tools (e.g., Python, R). Experience with statistical modeling techniques (regression analysis, GLM). - **Business Acumen:** Strong understanding of pricing theory and market dynamics. Awareness of business goals and financial metrics relevant to pricing decisions. Ability to translate data insights into actionable business recommendations. - **Communication Skills:** Excellent written and verbal communication skills to effectively present complex data analysis to diverse audiences. Ability to collaborate effectively with cross-functional teams. If you are interested in this exciting opportunity, please reach out to careers@routemobile.com.,

Role Overview: As an IB Business Information Records Officer (BIRO) at Deutsche Bank in Mumbai, India with the Corporate Title of VP, you will be a part of the Group Strategic Analytics team. This team focuses on combining expertise in quantitative analytics, modelling, pricing, and risk management with a deep understanding of system architecture and programming. Your primary responsibility will be to contribute to the development of a scalable and flexible Front Office pricing and risk management system, ensuring consistency in analytics and technology platform across the bank. Key Responsibilities: - Collaborate with the London/New York/Frankfurt team on quantitative and regulatory projects, understanding business problems, gathering necessary information, and providing optimized solutions on a scalable platform. - Implement projects using Python and C++ programming languages, ensuring effective communication with stakeholders globally. - Develop complex processes, frameworks, and risk analysis, enhance existing frameworks, and design automated solutions for business problems. - Coordinate with stakeholders, design databases, and develop applications/libraries for solution implementation. - Remediate regulatory findings, maintain awareness of key market risks, and ensure quality assurance through reviews. Qualification Required: - Strong educational background in Engineering/Science, Economics, Statistics, or other numerate disciplines from reputed institutions like IIT, NIT, ISI. - At least 4 years of experience in Python/C++ programming with knowledge of OOPs concepts and data structures. - Experience in pulling data from market sources, financial pricing models, and risk models. - Good communication skills, problem-solving instincts, and analytical skills. - Certification courses like CFA/FRM/CQ and familiarity with applied econometrics are desirable. Additional Details: Deutsche Bank offers a comprehensive benefits package including leave policy, parental leaves, childcare assistance, sponsorship for certifications, and healthcare insurance. The company fosters a culture of continuous learning, coaching, and support for career progression. Visit the company website for more information on their values and inclusive work environment. Note: The job description provided is for an internal promotion opportunity within Deutsche Bank and requires expertise in quantitative analytics, programming, and risk management.,

In this role at FedEx, you will work with cross-functional and cross-regional teams for data analysis, monitoring, and forecasting. Your key responsibilities will include: - Leading the development and implementation of advanced analytical models and algorithms to support decision-making processes. - Utilizing statistical analysis and machine learning techniques to extract insights from large and complex datasets. - Collaborating with business stakeholders to understand their needs and requirements, and translating them into actionable analytical solutions. - Designing and conducting experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions. - Mentoring and coaching junior members of the team, providing guidance on technical skills and professional development. - Communicating findings and recommendations to stakeholders through data visualization, reports, and presentations. - Staying current with the latest advancements in data science, machine learning, and technology trends, and evaluating their potential impact on the business. Qualifications: - Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field. - 4-8 years of experience in data analysis, statistical modeling, and machine learning, with a proven track record of delivering actionable insights and solutions. - Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries. - Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design. - Experience working with Cloud Technologies (especially Azure) is preferred. - Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes. - Prior experience in a senior-level role is preferred. At FedEx, the philosophy of putting people first is taken seriously. The company is committed to diversity, equity, and inclusion in the workforce, ensuring fair treatment and growth opportunities for everyone. FedEx values its team members and strives to make every FedEx experience outstanding. The People-Service-Profit (P-S-P) philosophy governs every decision, policy, or activity at FedEx, emphasizing the importance of taking care of people, delivering impeccable service to customers, and reinvesting profits back into the business and people. The company's success is attributed to its people and the work environment that encourages innovation and the highest quality of service to customers. FedEx's culture and values have been a cornerstone of its success and growth since the early 1970s, making it unique and a differentiating factor in today's global marketplace. In this role at FedEx, you will work with cross-functional and cross-regional teams for data analysis, monitoring, and forecasting. Your key responsibilities will include: - Leading the development and implementation of advanced analytical models and algorithms to support decision-making processes. - Utilizing statistical analysis and machine learning techniques to extract insights from large and complex datasets. - Collaborating with business stakeholders to understand their needs and requirements, and translating them into actionable analytical solutions. - Designing and conducting experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions. - Mentoring and coaching junior members of the team, providing guidance on technical skills and professional development. - Communicating findings and recommendations to stakeholders through data visualization, reports, and presentations. - Staying current with the latest advancements in data science, machine learning, and technology trends, and evaluating their potential impact on the business. Qualifications: - Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field. - 4-8 years of experience in data analysis, statistical modeling, and machine learning, with a proven track record of delivering actionable insights and solutions. - Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries. - Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design. - Experience working with Cloud Technologies (especially Azure) is preferred. - Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes. - Prior experience in a senior-level role is preferred. At FedEx, the philosophy of putting people first is taken seriously. The company is committed to diversity, equity, and inclusion in the workforce, ensuring fair treatment and grow

As a Senior Salesforce Developer at Valmont, your main goal would be the analysis, design, development, and implementation of application programs, with a focus on modification of Salesforce applications and integration with other applications. Your role involves analyzing project requirements, developing effort estimates, task dependencies, and providing technical support for major cross-functional projects with complex and challenging business problems. You may be required to consult for other projects and solve highly technical complex problems. Your direction will be provided by the immediate manager, focusing on relative priority, timing requirements, business process requirements, security, performance requirements, interface, and technical requirements. Your responsibilities will include: - Programming using Salesforce Apex, Visualforce, JavaScript, jQuery, JSON, XML, Web Services (REST/SOAP) - Configuration and administration of Salesforce applications, including Salesforce Data loader, Salesforce Sales Cloud, Service Cloud, and Salesforce community portals - Developing Salesforce Lightning Aura and Lightning Web Components, Flows, and Triggers - Working with technical frameworks such as Aura framework, Bootstrap, and Angular - Utilizing Git Hub for managing changes - Applying Agile, Waterfall, or similar application lifecycle methodology - Performing systems analysis and design, documentation, development, implementation, and maintenance of complex application development work Additionally, you will be responsible for identifying and documenting current and future business processes, translating user requirements into technical design and development projects, developing technical architecture and code for applications, assisting in data conversion, leading project teams, providing technical support, and participating in application training. To be successful in this role, you must possess: - Bachelor's degree with 5+ years of relevant experience or Associates Degree with 7+ years of relevant experience or 9+ years of relevant experience - Experience with Salesforce Sales Cloud, Service Cloud, Oracle database programming, MS SQL database programming, and database designing - Git Hub experience - Experience with Salesforce Lightning Aura and Lightning Web Components development, Flows, and Triggers - Experience with technical frameworks such as Aura framework, Bootstrap, Angular - Experience with programming languages like Apex, Visualforce, JavaScript, jQuery, JSON, XML, Web Services (REST/SOAP) - Strong communication skills and the ability to work independently or as part of a team If you have a disability and require assistance in filling out the application for employment, please email EEOCompliance@Valmont.com. Please note that additional details about the company were not included in the provided job description.,

As a Senior Python Developer (Data Science, AI/ML) at HCL Software, you will play a key role in delivering AI-driven Marketing Campaigns through the innovative Unica+ Marketing Platform. This platform empowers clients to execute precise and high-performance marketing campaigns across various channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc., utilizing Data and AI as primary components for delivering hyper-personalized offers and messages. **Key Responsibilities:** - Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. - Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. - Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. - Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. - Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. - In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). - Proficiency with at least one major deep learning framework like TensorFlow or PyTorch, including understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. - Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. - Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. **Qualifications & Skills:** - At least 8-10 years of Python Development Experience with at least 4 years in data science and machine learning. - Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. - Experience with AWS SageMaker is advantageous. - Experience with LangChain, RAG for Generative AI is advantageous. - Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways. - Knowledge of REST, JSON, XML, SOAP is a must. - Ability to work well within an agile team environment and apply the related working methods. - Excellent communication & interpersonal skills. - A 4-year degree in Computer Science or IT is a must. *Please note that 30%+/- travel may be required for this position, and the preferred location is India, with Pune being the preferred city.* If you meet the qualifications and are interested in this exciting opportunity, please share your CV to monica_sharma@hcl-software.com along with your Current CTC, Expected CTC, and Notice Period. Shortlisted candidates will be invited for a virtual interview on 11th Oct Saturday.,

As a Data Analyst, you will play a crucial role in analyzing and interpreting data to provide valuable insights and recommendations. Your responsibilities will include: - Reporting: Create and maintain detailed reports and dashboards to visualize key performance indicators (KPIs) and effectively communicate findings to stakeholders. - Data Analysis: Utilize Advanced Excel techniques to perform thorough data analysis, identify trends, and derive insights from large datasets. - Quality Assurance: Conduct regular quality assurance checks and validation procedures to ensure data accuracy and integrity. - Data Cleansing and Manipulation: Clean, transform, and manipulate data as needed to ensure accuracy and reliability for analysis purposes. - Statistical Analysis: Interpret data using statistical methods and techniques to offer actionable recommendations based on findings. - Automation: Develop and implement automation processes using Excel macros and Power Query. Your desired skill set should include: - Strong proficiency in Advanced Excel, including Pivot Tables, Power Query, VLOOKUP, INDEX-MATCH, array formulas, data validation, conditional formatting, and other advanced functions. - Experience working with large datasets and performing data and regression analysis using Excel. - Familiarity with data visualization tools such as Power BI. - Excellent analytical and problem-solving skills with a keen attention to detail. - Ability to work independently and collaborate effectively in a team environment. - Strong communication skills to convey insights clearly to non-technical stakeholders. As a Data Analyst, you will play a crucial role in analyzing and interpreting data to provide valuable insights and recommendations. Your responsibilities will include: - Reporting: Create and maintain detailed reports and dashboards to visualize key performance indicators (KPIs) and effectively communicate findings to stakeholders. - Data Analysis: Utilize Advanced Excel techniques to perform thorough data analysis, identify trends, and derive insights from large datasets. - Quality Assurance: Conduct regular quality assurance checks and validation procedures to ensure data accuracy and integrity. - Data Cleansing and Manipulation: Clean, transform, and manipulate data as needed to ensure accuracy and reliability for analysis purposes. - Statistical Analysis: Interpret data using statistical methods and techniques to offer actionable recommendations based on findings. - Automation: Develop and implement automation processes using Excel macros and Power Query. Your desired skill set should include: - Strong proficiency in Advanced Excel, including Pivot Tables, Power Query, VLOOKUP, INDEX-MATCH, array formulas, data validation, conditional formatting, and other advanced functions. - Experience working with large datasets and performing data and regression analysis using Excel. - Familiarity with data visualization tools such as Power BI. - Excellent analytical and problem-solving skills with a keen attention to detail. - Ability to work independently and collaborate effectively in a team environment. - Strong communication skills to convey insights clearly to non-technical stakeholders.

You will be joining Anshika Fasteners Pvt Ltd as a Market Insights and Business Data Analyst to contribute to data-driven decision-making and drive business growth. Your main responsibilities will include: - Analyzing market trends, competitor activities, and customer preferences to support product development, marketing strategies, and sales initiatives. - Gathering data from internal and external sources, developing reports, and maintaining dashboards to track key performance indicators (KPIs) for the company's growth. - Conducting in-depth analysis of customer data to understand purchasing patterns, customer satisfaction, and areas for improvement. - Monitoring and reporting on sales data by region, product line, and customer segments to provide insights into revenue drivers and potential growth areas. - Collaborating with finance and sales teams to forecast sales performance, analyze budget variances, and assess the financial impact of market trends. - Working closely with the business development and marketing teams to support strategic initiatives, including expansion plans with export clients. - Developing and maintaining a competitor intelligence system to track changes in market share, pricing, and customer acquisition strategies. - Analyzing production data, efficiency metrics, and supply chain performance to identify areas for cost optimization and process improvement. - Preparing clear and concise reports, presentations, and visualizations to communicate insights and recommendations to stakeholders. Your technical skills will include proficiency in programming languages such as Python, R, SQL, and AWS, as well as data analytics tools like Advanced Excel, Power BI, and Tableau. Additionally, you should have experience with databases like MySQL, PostgreSQL, and Microsoft SQL Server, and be familiar with machine learning techniques and tools. Qualifications required for this role include a Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, or a related field, with 3+ years of experience in data analysis, market research, or business intelligence. Strong analytical, problem-solving, and communication skills are essential, along with the ability to manage multiple projects simultaneously. Preferred qualifications include experience with predictive analytics and machine learning models, an understanding of the fastener industry or B2B manufacturing landscape, and experience working with international clients and knowledge of global market trends. Anshika Fasteners Pvt Ltd offers you the opportunity to contribute to strategic decision-making, a collaborative work environment focused on innovation and continuous improvement, and a competitive salary and benefits package. If you are passionate about turning data into insights and driving business success, we encourage you to apply today. To apply for this full-time position based in Nagpur, Maharashtra, please submit your resume and a cover letter detailing your relevant experience to info@anshikafasteners.com. Relocation to Nagpur or the ability to commute is required. Education: Bachelor's degree required Experience: 3+ years in data analysis, market research, or business intelligence required Location: Nagpur, Maharashtra (Preferred),