1 Statistical Concepts Jobs nearby Mangalore

As an experienced IT professional with over 3 years of experience, you should have the ability to quickly understand data and possess a strong knowledge of ML algorithms including Supervised, Unsupervised, and Deep Learning. It is essential that you have practical experience working with any structured database such as MS SQL, Oracle, etc. Additionally, familiarity with Gen Ai and other Ai tools is required. Your proficiency in Python programming language, Fast API, and backend design is crucial for this role. Moreover, you should be well-versed in Docker, Docker Compose, and version control systems like GitHub or GitLab. Your responsibilities in this role will include: - Working with stakeholders to identify opportunities for leveraging data to drive business solutions. - Mining and analyzing data from databases to drive optimization. - Assessing the effectiveness and accuracy of new data sources and data gathering techniques. - Developing custom data models and algorithms to apply to data sets. - Coordinating with different functional teams to implement models and monitor outcomes. - Developing processes and tools to monitor and analyze model performance and data accuracy. Qualifications required for this position: - Hold a bachelor's degree in Information Technology, Computer Science, Maths and Statistics, or BCA. - Experience working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and techniques.,

As a Vice President in the Wealth Management Technology team at Morgan Stanley, your primary role will involve technical and functional analysis of platforms/applications. You will be responsible for documenting the current state and to-be state scenarios. **Key Responsibilities:** - Experience in working with Agile, SAFe agile, and scrum teams - Good understanding of N-Tier architecture, APIs, and Batches - Knowledge of BFSI domain, Wealth Management business, AI, Virtual Assistants, and Chatbots - Hands-on experience in machine learning concepts and model evaluation metrics - Strong understanding of statistical analysis and predictive modeling - Project management skills with the ability to work under pressure and deliver to tight deadlines - Effective communication skills to bridge business and technical domains - Proficiency in SQL and Data wrangling tools - Interpret and communicate complex model outcomes to non-technical stakeholders with business-focused insights - Experience in participating in Production Support and Triaging discussions - Good understanding of technology stack, N-tier architecture, UX, UI, APIs/Web services, and batch processing - Experience in agile project management, user story writing, and refinement **Qualifications Required:** - Bachelors or Masters in Computer Science, Information Management, or other relevant field - At least 8 years of relevant experience with a career experience of 11+ years - Knowledge of Wealth Management business, Virtual Assistants, Large language Models, and implementations - Ability to partner with Data scientists and ML Engineers to design, implement, and validate machine learning models - Documenting business processes, workflows, and system interactions - Conducting exploratory data analysis to identify trends, patterns, and business improvement opportunities - Proficiency in tools like MS Office, MS Visio, SharePoint, Jira, HP QC, Confluence - Understanding of design documentation, Functional & Non-Functional specifications, Technical Architecture, Process flows, Technical and Data sequence flows, Integration specifications At Morgan Stanley, you can expect to work in an environment where you are supported, empowered, and encouraged to collaborate and think creatively. The company values diversity, inclusion, and supporting employees and their families. With a commitment to maintaining excellence and providing exceptional benefits, Morgan Stanley offers opportunities for personal and professional growth.,

You will be involved in providing advanced analytical capabilities to support data science initiatives. This role includes experience in various areas such as predictive modeling, time series and demand forecasting, optimization, linear and non-linear curve fitting, price elasticity, feature engineering, model development and management, production deployment of models, scalability of systems, and measurement in the realm of price optimization, dynamic pricing, and promotion analytics. As a Senior MLE, you will solve complex problems that require deploying models at scale. **Roles And Responsibilities:** - Apply advanced data science, machine learning (ML), and deep learning (DL) algorithms to derive insights and develop solutions for a competitive advantage. - Develop dashboard reports to track and measure financial results, customer satisfaction, and engagement metrics. - Lead automation and analytical projects by collaborating across functions. - Provide guidance to junior level scientists to translate requirements into an analytical approach. - Analyze data using statistical techniques and tools according to the project plan, communicating updates and managing scope with stakeholders. - Prepare final recommendations through storytelling and actionable insights for relevant stakeholders to build implementable and scalable solutions. - Execute a plan for measuring impact based on discussions with stakeholders, partners, and senior team members. - Ensure full adherence to enterprise project management practices by participating in formal and informal training. - Maintain senior-level knowledge on industry trends, emerging technologies, new methodologies, and apply them to projects while guiding team members. **Qualification Required:** - Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 4-8 years of experience in Predictive Analytics, Machine learning, and Statistical modeling with Python, SQL, and GCP or any other cloud data technologies. OR - Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 3-7 years of experience in Predictive Analytics, Machine learning, and Statistical modeling with Python, SQL, and GCP or any other cloud data technologies. OR - Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2-5 years of experience in Predictive Analytics, Machine learning, and Statistical modeling with Python, SQL, and GCP or any other cloud data technologies. **Primary Skills Required:** - 4 years of experience executing and deploying data science, ML, DL, and generative AI solutions, preferably in a large-scale enterprise setting. - 2 years of SQL and programming experience. - Bachelor's degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field. **Secondary Skills Required:** - Master's degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field. - 2 years of experience working with cross-functional partners. - 2 years of experience using multiple data systems and sources.,

You will be part of the Design-for-Test Engineering team at NVIDIA, working on innovative solutions for DFT architecture, verification, and post-silicon validation of complex semiconductor chips. **Key Responsibilities:** - Explore Applied AI solutions for DFX and VLSI problem statements - Architect end-to-end generative AI solutions focusing on LLMs, RAGs & Agentic AI workflows - Deploy predictive ML models for efficient Silicon Lifecycle Management of NVIDIA's chips - Collaborate with VLSI & DFX teams to understand language-related engineering challenges and design tailored solutions - Partner with cross-functional AI teams to provide feedback and contribute to the evolution of generative AI technologies - Integrate Agentic AI workflows into DFX teams" applications and systems - Define data collection, storage, consumption, and management for next-generation AI use cases - Mentor junior engineers on test designs, trade-offs, cost, and quality **Qualifications Required:** - BSEE or MSEE from reputed institutions with 2+ years of experience in DFT, VLSI & Applied Machine Learning - Experience in Applied ML solutions for chip design problems - Significant experience in deploying generative AI solutions for engineering use cases - Good understanding of fundamental DFT & VLSI concepts like ATPG, scan, RTL & clocks design, STA, place-n-route, and power - Experience in applying AI for EDA-related problem-solving is a plus - Excellent knowledge of statistical tools for data analysis & insights - Strong programming and scripting skills in Perl, Python, C++, or TCL desired - Strong organization and time management skills for a fast-paced multi-task environment - Self-motivated, independent, with the ability to work autonomously - Outstanding written and oral communication skills with a curiosity for rare challenges NVIDIA offers highly competitive salaries and a comprehensive benefits package. The company has brilliant and talented individuals working together, and due to rapid growth, the engineering teams are expanding. If you are a creative engineer with a real passion for technology, NVIDIA welcomes your application.,

As an Analyst in the GSM Analytics team at our company, you will play a crucial role in developing and implementing advanced analytics solutions. Your ability to innovate, collaborate, and thrive in ambiguous environments will be key in this role. You should have a strong interest in combining data science, business concepts, and technology, along with exceptional problem-solving skills. Your willingness to learn and adapt to a dynamic environment is essential for success in this position. Key Responsibilities: - Collect requirements and design advanced analytics ranging from descriptive to predictive models, machine learning techniques, and AI and RPA. - Monitor incoming data analytics requests, execute analytics as requested, and distribute results efficiently. - Plan and moderate periodic data analytics champions meetings and communicate necessary information with the team. - Develop, implement, support, and maintain data analytics protocols, standards, and documentation. - Analyze complex data, identify anomalies, trends, risks, and provide usable insights to improve internal controls. - Prepare documentation, analytic dashboards, and reports that summarize results, analysis, and conclusions for stakeholders. - Address ad-hoc analytics requests and facilitate data acquisition for internal projects and investigations. - Contribute to process improvement, efficiencies, and innovation within the department. - Communicate data requirements and ensure global team access to necessary information. - Assist global teams in understanding data relationships to business processes. - Participate in department technology leadership work streams, supporting knowledge management processes and tool usage. - Prepare written summaries to accompany results and maintain documentation. - Clearly explain data and results to support project objectives. Desired Skills: - Bachelor's or Master's degree in computer science or related field. - Internship or project experience in data analysis, data science, or data engineering. - Knowledge of big data technologies and cloud platforms like AWS, Azure. - Proficiency in Python, R, or other programming languages. - Exposure to database concepts for data acquisition and maintenance. - Proficiency in developing user-friendly dashboards on data visualization tools like Power Bi, Tableau. - Knowledge of machine learning techniques and their real-world applications. - Experience in building and maintaining data pipelines and transformations using tools like Databricks, Trifacta, etc. - Knowledge of advanced analytics, statistical techniques, and concepts. Business Acumen: - Ability to learn and apply business concepts quickly. - Develop analytics solutions using technical and business domain knowledge. Communication & Presentation: - Strong communication skills with the ability to work in a team environment. - Experience in communicating technical concepts to non-technical audiences. - Excellent verbal and written communication skills. - Strong organizational and multi-tasking abilities. Please note that the details of the company were not provided in the job description.,

Role Overview: As a Senior AI & Analytics Program Manager, you will be responsible for managing end-to-end client programs in a dynamic environment. Your role will involve a mix of hands-on technical contributions, team management, and client interactions. Key Responsibilities: - Lead and oversee AI & analytics programs for clients - Manage technical teams and ensure project delivery - Engage with clients to understand their requirements and provide solutions - Utilize scientific programming skills in Python, R, SQL, NoSQL, and Spark with ML tools & Cloud Technology (AWS, Azure, GCP) - Develop machine learning models using Python libraries such as numpy, pandas, sci-kit-learn, tensor-flow, scrapy, BERT, etc. - Apply expertise in machine learning, deep learning, data mining, and statistical concepts to develop innovative solutions - Collaborate with clients in domains like Supply Chain, Manufacturing, CPG, Marketing, etc., to address complex problem statements Qualifications Required: - M-Tech/PhD from a top-tier Institute, preferably in a quantitative subject - Minimum 18 years of hands-on experience in applied Machine Learning, AI, and analytics - Proficiency in ML algorithms for structured and unstructured data ecosystems - Experience in large-scale data processing and distributed computing - Ability to provide insights for sales and pre-sales activities - Self-motivated individual capable of working independently with minimal guidance - Excellent written and verbal communication skills (Additional details of the company were not provided in the job description),

Role Overview: As a Team Lead-Software Development at our technology firm in the UK and India, you will be leading a cross-functional team dedicated to developing scalable trading tools, APIs, and platforms. Your role will involve collaborating with product managers and clients to deliver in-house solutions and customized implementations for the trading domain. This position is ideal for individuals who excel in a fast-paced finance-tech environment. Key Responsibilities: - Lead and mentor a team of junior and mid-level developers, overseeing both internal product development and client projects. - Prioritize development efforts between product roadmap features and custom client requests. - Design, develop, and deliver web, mobile, or backend applications for both client and internal purposes. - Collaborate with various teams including product managers, UI/UX designers, QA, and DevOps to plan and prioritize development activities. - Create scalable and modular solutions that meet functional and non-functional requirements. - Review code, enforce best practices, and ensure high standards in performance, security, and reliability. - Manage technical delivery across multiple concurrent projects or product modules. - Engage with stakeholders for requirements gathering, sprint planning, and roadmap alignment. - Monitor timelines, conduct risk assessments, and ensure timely delivery. - Stay updated with emerging technologies and suggest innovations to enhance productivity and user experience. Qualifications: - Bachelor's degree in Computer Science, Software Engineering, or a related field from a premier institution like IITs/NITs. - Minimum 6+ years of professional software development experience with strong knowledge of programming languages (e.g., Java, C++, Python, React) and DSA concepts. - 12+ years of experience in a team lead or technical leadership role. - Exposure to the product lifecycle from MVP to scale. - Hands-on experience with automated testing frameworks. - Proficiency in relational and NoSQL databases (e.g., PostgreSQL, MongoDB) and familiarity with REST APIs, microservices, and version control (Git). - Proficient in Agile/Scrum methodologies, CI/CD pipelines, and DevOps collaboration. - Understanding of financial markets, trading concepts, and algorithms; experience with trading platforms and APIs would be a plus. - Knowledge of quantitative analysis, statistics, and risk management. - Familiarity with order execution systems, FIX Protocol, and market data feeds; strong mathematical and statistical skills. - Good ranking on competitive coding platforms such as Codeforces, HackerRank, LeetCode, CodeChef, etc. - Ability to work under pressure in a fast-paced environment. - Excellent problem-solving and analytical skills, along with strong communication, teamwork, and leadership abilities.,

Role Overview: As a Data Science Associate Consultant at ZS, you will design, develop, and execute high-impact analytics solutions for large, complex structured and unstructured data sets, including big data. Your focus will be on helping clients make better fact-based decisions by staying updated with the latest developments in Deep Learning and AI research, implementing advanced models in deep learning, and collaborating with cross-functional teams to develop and deploy machine learning models in production. Your role will also involve contributing to research projects aimed at advancing the field of AI and machine learning, developing advanced algorithms, and integrating engineering principles into data science workflows for optimized performance and scalability. Key Responsibilities: - Stay updated with the latest developments in Deep Learning and AI research - Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data - Apply knowledge of large language model fine-tuning and alignment approaches - Utilize active learning techniques to train models more efficiently - Collaborate with cross-functional teams to develop and deploy machine learning models - Contribute to research projects advancing the field of AI and machine learning - Develop advanced algorithms for solving problems in a computationally efficient manner - Collaborate with clients and ZS stakeholders to integrate and communicate analysis findings - Contribute to the evaluation of emerging datasets and technologies - Own the development of select assets/accelerators for efficient scaling of capability - Integrate engineering principles into data science workflows for optimized performance - Collaborate with the engineering team to implement and deploy data science solutions into production - Utilize software engineering best practices for version control, code review, testing, and documentation Qualifications Required: - Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute - 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions - Knowledge of programming languages like Java, Python, or R - Knowledge of big data/advanced analytics concepts and algorithms - Excellent oral and written communication skills - Strong attention to detail and research-focused mindset - Excellent critical thinking and problem-solving skills - High motivation, good work ethic, and maturity - Exposure to Generative AI and its usage to solve problems is a plus Additional Company Details: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company promotes a flexible and connected way of working, allowing a combination of work from home and on-site presence. ZS values inclusion and belonging, supporting diverse backgrounds, perspectives, and experiences within its team. Note: The job description did not contain any additional details about the company.,

Role Overview: You will be working as a Senior Cyber Security Analyst for a company that provides advanced digital and AI-driven solutions focusing on customer onboarding, risk management, and fraud prevention. The organization's technology enables financial institutions and businesses to make faster, more informed decisions by combining data intelligence, automation, and machine learning. Key Responsibilities: - Design, develop, and optimize ML models for credit scoring, risk prediction, and scorecard generation. - Implement scalable pipelines for model training, validation, and deployment in production environments. - Identify, extract, and engineer key features from structured and unstructured data to enhance model performance. - Establish continuous monitoring frameworks to track model drift, performance metrics, and data quality. - Explore and apply state-of-the-art ML and transformer architectures to improve predictive accuracy and interpretability. - Work closely with data engineers, product managers, and domain experts to translate business objectives into robust ML solutions. Qualification Required: - 2+ years of hands-on experience in developing, training, and deploying ML models for structured or tabular data. - Solid understanding of statistical concepts, feature engineering, and model evaluation techniques. - Experience with scikit-learn, PyTorch, or TensorFlow for building and optimizing predictive models. - Strong proficiency in Python, with experience using NumPy, Pandas, and Matplotlib for data manipulation and analysis. - Practical experience with large datasets, data cleaning, preprocessing, and transformation for ML workflows. - Proficiency in writing SQL queries and integrating ML models with APIs or backend systems. - Familiarity with Git and collaborative model development practices. Additional Details: The company focuses on combining data intelligence, automation, and machine learning to streamline verification processes, enhance compliance, and deliver a seamless digital experience across industries.,

As an ESG Specialist at LSEG, your role involves providing subject matter expertise, skills, and knowledge to maintain existing databases and test future databases, tools, and systems. You will drive automation and simplification to enhance efficiency and quality in ESG Operations. The ESG Specialist team at LSEG leverages expertise in building and maintaining content on databases, testing future databases, and driving automation and simplification for efficiency and quality within ESG Operations. **Key Responsibilities:** - Develop and deploy machine learning and deep learning models for complex problem-solving. - Conduct statistical analysis to identify trends, patterns, and insights. - Apply data science skills to create intelligent systematic checks on textual and Boolean data. - Manage data extraction, reporting, and analysis. - Utilize SQL for querying and managing large datasets. - Implement web scraping techniques to gather data from diverse sources. - Work with large language models (LLMs) for natural language processing tasks. **Qualifications Required:** - Proficiency in ML, deep learning, and statistical analysis. - Strong Python and SQL skills for data querying and manipulation. - Proficiency in Microsoft Power Platform. - Experience with web scraping tools and frameworks. - Working knowledge of NLP and LLM concepts, familiarity with BERT, GPT, etc. - Strong problem-solving and analytical skills. - Reporting using Python visualization packages (e.g., Matplotlib, Seaborn) and Microsoft Power BI. LSEG is a leading global financial markets infrastructure and data provider, driving financial stability, empowering economies, and enabling sustainable growth. The company values Integrity, Partnership, Excellence, and Change, which guide decision-making and actions. LSEG fosters an inclusive and collaborative workplace, supporting the growth and potential of all colleagues. If you are passionate about contributing to a dynamic organization with a global presence and diverse workforce, LSEG offers tailored benefits, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. Join us in re-engineering the financial ecosystem to support sustainable economic growth and the transition to net zero, creating inclusive economic opportunities. Please review the provided privacy notice for information on personal data handling and contact details for any inquiries.,

About Credit Saison India Established in 2019, Credit Saison India (CS India) is one of the country's fastest-growing Non-Bank Financial Company (NBFC) lenders. With verticals in wholesale, direct lending, and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs, CS India's tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India's significant credit gap, especially with underserved and underpenetrated segments of the population. Committed to growing as a lender and evolving its offerings in India for the long term, CS India caters to MSMEs, households, individuals, and more. Registered with the Reserve Bank of India (RBI) and holding an AAA rating from CRISIL and CARE Ratings, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B, and an employee base of about 1,000 people. As part of Saison International, a global financial company, CS India aims to bring people, partners, and technology together to create resilient and innovative financial solutions for positive impact. Roles & Responsibilities: - Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. - Help to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.). - Identify trends by performing necessary analytics at various cuts for the Portfolio. - Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio. - Work with the Product team and engineering team to help implement the Risk strategies. - Collaborate with the Data science team to provide inputs on the key model variables and optimize the cut off for various risk models. - Develop a deep-level understanding of various data sources (Traditional as well as alternate) and optimize the use of the same in underwriting. - Demonstrate a good understanding of various unsecured credit products. - Analyze business problems and assist in converting them into analytical solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field from top tier (IIT/IIIT/NIT/BITS). - 5+ years of experience working in Data Science/Risk Analytics/Risk Management with experience in building models/Risk strategies or generating risk insights. - Proficiency in SQL and other analytical tools/scripting languages such as Python or R. - Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions. - Proficiency with statistical and data mining techniques. - Proficiency with machine learning techniques such as decision tree learning, etc. - Experience working with both structured and unstructured data. - Fintech or Retail/SME/LAP/Secured lending experience is preferred.,

You will be joining the Market/Counterparty Risk modelling team at Northern Trust as an Analyst/Senior Analyst in Bangalore with 0-4 years of relevant experience. Your major duties will include: - Developing Capital Market models for banks trading derivative products and securities lending portfolio - Collaborating with various stakeholders like front office business partners, regulators, Audit Services, and independent reviewers - Supporting stress testing, capital quantification, and internal capital allocation methodologies - Providing technical/theoretical inputs to resolve risk issues and enhance the risk framework - Conducting analysis independently to ensure accuracy and completeness - Interacting with different committees and/or senior management - Developing, implementing, and administering programs within Risk Management for specific products Qualifications required for this role include a Master's degree in Statistics/Economics/Mathematics or an advanced degree in a quant area. Alternatively, a B.Tech from a tier 1 college with an MBA in a related field is also acceptable. Skills required for this position are: - 0-4 years of hands-on market/counterparty quantitative risk related experience - Strong conceptual and technical knowledge of risk concepts and quantitative modelling techniques - Experience in Python, SAS, advanced Excel techniques, and VBA programming - Strong regulatory understanding for banking capital review rule, market risk rules, and model risk compliance - Strong organizational and interpersonal skills - Excellent verbal and written communication skills in English - Experience of working in a multi-cultural and global environment - Related Industry qualification (e.g., CFA, FRM) is a plus As a Northern Trust partner, you will be part of a flexible and collaborative work culture in an organization committed to assisting the communities they serve. Movement within the organization is encouraged, and senior leaders are accessible. Your career growth and development are supported, and you can take pride in working for a company dedicated to sustainability. Northern Trust is committed to providing reasonable accommodations to individuals with disabilities. If you need accommodation during the employment process, you can reach out to the HR Service Center at MyHRHelp@ntrs.com. Join Northern Trust in Bangalore, where you will work in a vibrant office space with over 5,600 employees, offering fantastic amenities and a collaborative environment. Apply today and explore the opportunity to work with one of the world's most admired companies!,

As a member of the Market Risk team at Infosys Limited, your role will involve expanding the team's presence in India to support activities in data management, risk operations, product, and research. Your expertise in working with real-world data and conducting statistical analyses will be crucial for the team's success. We are seeking individuals who are motivated self-starters, team players, eager collaborators, continuous learners, and committed to going the extra mile for our internal and external clients. Key Responsibilities: - Possess at least 3-8 years of experience in market risk measurement within an investment bank or financial institution, with previous exposure to VaR or Credit Risk. - Demonstrate knowledge in Asset Classes, specializing in any 1-2 of the following: Equity, Fixed Income, FX, Commodities, Derivatives, Structured Products. - Exhibit experience and knowledge in Fixed Income and Derivatives, particularly in Corporate Bonds, Interest Rate derivatives, Total Return Swaps (TRS), Credit Derivatives, CVA, FVA, etc. - Showcase a basic understanding of pricing and valuation of financial products. - Understand key risk and profitability concepts including Probability of Default, Event of Default, Jump to Default, Present Value of basis point, Mark to Market, volatility, Yield curve parallel and point shifts, etc. - Demonstrate the ability to analyze the price of a security into its various constituent components such as interest rate curves and relevant term structure sensitivity. - Possess a higher degree in finance or related fields, or a professional qualification like CFA, FRM, PRIMA would be advantageous. - Have a general knowledge of risk issues, investment products, and some programming skills. - Ability to work effectively in a team, build strong relationships, and deliver high-quality, accurate work under pressure and tight deadlines. - Willingness to challenge the status quo, question assumptions, and provide alternative approaches. Preferred Skills: - Domain expertise in Financial Risk Management, specifically in Credit Risk Management and Market Risk Measurement & Control.,

Role Overview: You will be a high performing individual contributor who consistently applies and enhances analytics capabilities, best practices, and processes to solve complex business issues and identify opportunities. You will operate largely independently and show the ability to mentor more junior colleagues. You will regularly interact with stakeholders up to Director level and have the ability to manage an analytical project, such as leading a small workstream or building an analytical product. Key Responsibilities: - Intermediate level ability to extract data from multiple sources independently and combine into required datasets for model building or analytics - Demonstrates awareness of intermediate supervised machine learning theory and techniques and willingness to learn and apply to relevant projects - Collaborates with subject matter experts and stakeholders early in the process to clarify business questions and enhance feature selection process - Applies statistical concepts like regression, ANOVA, AB testing, etc., and understands the difference between statistically significant test readout vs exploratory analysis - Creates clear visualizations that support the data story and deepen the audience's understanding - Demonstrates an understanding of technical information to synthesize different data sources and create basic data pipelines and workflows to support the model - Can write new or understand existing advanced SQL and is familiar with different flavors of SQL and querying tools - Demonstrates capability of framing a complex business problem as an analytics problem and proposing solutions appropriate for the task and timeframe - Automates repeated measurement and reporting tasks, builds scalable dashboards, and empowers stakeholders to pull data from automated dashboards Qualifications Required: - PhD, Masters or Bachelors (preferably in Mathematics or Scientific degree) with 2-4 years of work experience - Demonstrable experience of delivering data-driven insights and recommendations using R, Python, or SQL for data analysis - Experience delivering analytics projects to different business areas and displaying strong business acumen - Possesses intermediate understanding of common data models, their underlying assumptions, and the types of business questions they can best answer Note: Accommodation requests can be made to the Recruiting Accommodations Team if needed. Expedia Group has been named as a Best Place to Work and recognized for its award-winning culture by various organizations. Expedia Group's family of brands includes Brand Expedia, Hotels.com, Vrbo, trivago, and others.,

As an Inventory Analyst at Saks Global, you will have the core responsibility of creating accurate reports for the assigned business area. You will collaborate with Planners and Buyers to manage Replenishment inventory through accurate forecasting and rectifying all relevant components to achieve department in stock goals. Your role will involve analyzing and summarizing business performance of product categories, monitoring sales, inventory, margin, and other factors affecting In-stocks & profitability through historical analysis. You will have end-to-end ownership of categories, including business and operational metric ownership for the team. Additionally, you will execute strategies and inventory-related projects to help maintain overall Inventory levels and drive supply chain initiatives to support alternative forms of fulfillment. Communication with key stakeholders will be crucial, ensuring timely and proactive updates. Qualifications required for this role include: - Graduate/PG with 1 to 3 years of relevant work experience, preferably in the retail industry with working knowledge in supply chain - Strong analytical skills, advanced excel proficiency, problem-solving abilities, and knowledge on forecasting - Data management and interpretation using statistical concepts - Strong planning and operational skills - Effective communication skills - Proficiency in excel and good knowledge of other MS Office tools - Ability to work well with others and contribute to a positive environment - Highly motivated and committed to delivering high-quality work Your life and career at Saks Global will be part of a world-class team where you will work with an adventurous spirit and think and act like an owner-operator. You will have exposure to rewarding career advancement opportunities, from retail to supply chain, to digital or corporate. The culture at Saks promotes a healthy, fulfilling work/life balance. Thank you for considering Saks Global for your career growth. We are excited about the possibility of welcoming you to our team.,

As a Senior Gen AI Developer at VARITE INDIA PRIVATE LIMITED, you will be responsible for developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Your role will involve utilizing advanced statistical techniques and concepts, as well as having deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. **Key Responsibilities:** - Architect high-impact GenAI solutions for diverse clients with exposure to agents/agentic rag and integration with biz systems - Design enterprise scale solutions including multithreading on vector db and integration with LLM - Stay updated on emerging tech and business trends in AI/Agentic RAG based capabilities - Work on predictive modeling and artificial neural networks - Participate in projects focusing on Predictive Analytics, Data Design, Generative AI, AI/ML, and ML Ops - Utilize Python for at least 3 years - Ability to travel at least 25% - Hold a Bachelors Degree **Qualifications Required:** - 1+ years of experience in architecting high-impact GenAI solutions - 8+ years of experience in projects focusing on Predictive Analytics, Data Design, Generative AI, AI/ML, and ML Ops - 3+ years of experience using Python - Ability to travel at least 25% - Bachelors Degree required VARITE INDIA PRIVATE LIMITED is a global IT services and consulting company headquartered in Tokyo, Japan. They offer a wide array of IT services including application development, infrastructure management, and business process outsourcing. VARITE excels in data and intelligence services, emphasizing analytics, AI, and machine learning. Their comprehensive portfolio is designed to meet the diverse needs of businesses worldwide. Interested candidates are invited to submit their resume using the apply online button on this job post. If you know someone who might be a good fit for this role, you can refer them to VARITE's Candidate Referral program and earn a referral bonus based on the candidate's experience level.,

You are seeking a highly skilled Statistical Programmer to join a dynamic team driving innovation and data-driven decision-making across pharmaceutical sciences. This role offers the opportunity to collaborate with top industry professionals and contribute to impactful projects in drug development, manufacturing, and regulatory submissions. Key Responsibilities: - Provide statistical expertise across drug substance, drug product, analytical method development, and regulatory activities for both small and large molecule entities. - Collaborate closely with statisticians and scientific teams to support experimental design and data analysis. - Independently develop and deploy statistical/computational applets using Python and R. - Clearly communicate statistical concepts in the context of experimental goals to cross-functional stakeholders. - Manage multiple projects and stakeholders concurrently with agility and precision. Qualifications Required: - Minimum 6+ years of industry experience in statistical programming or related roles. - PhD in Statistics or a related field, preferably with experience in a laboratory science environment. - Strong foundation in statistical methods, including descriptive/inferential statistics, general linear and mixed models, and design of experiments. - Proficiency in programming languages such as R, Python, SQL, HTML, and familiarity with commercial statistical packages. - Experience working in Linux, cloud computing, and high-performance computing environments. - Excellent communication skills and ability to build effective working relationships. - Self-driven with a strong ability to learn new skills quickly. If you are exploring new opportunities and have the relevant experience, you can share your resume with bharti.shivhare@brihatisglobal.com / +91 96639 20022.,

Role Overview: As a Software Engineer on the Telemetry and Data APIs team at SolarWinds, you will play a crucial role in shaping how SolarWinds teams extract data from the platform. You will be responsible for designing and implementing high-performance APIs to facilitate efficient querying of telemetry data points, enabling customers to derive meaningful insights from complex observability data. Key Responsibilities: - Design and implement high-performance APIs that allow efficient querying of billions of telemetry data points - Architect solutions to help customers extract meaningful insights from complex observability data - Lead technical initiatives to improve query performance, data accessibility, and response time - Develop flexible data models to support diverse customer use cases and visualization needs - Collaborate with product teams to create intuitive data access patterns that align with evolving customer requirements - Mentor junior engineers in API design and best practices for data retrieval Qualifications Required: - Demonstrated proficiency in designing and implementing robust software solutions using Java, Kotlin, Go, or similar languages - Experience in designing and building scalable APIs using technologies like GraphQL and REST - Track record of working with observability products and understanding their unique data requirements - Hands-on experience with graph databases for storing and querying complex relationship data - Practical knowledge of time-series databases and their optimization techniques for telemetry data - Applied understanding of statistical concepts as they relate to data analysis and visualization - Proven ability to balance technical excellence with pragmatic solutions in a fast-paced environment Note: All applications are treated in accordance with the SolarWinds Privacy Notice.,

As a Solutions Specialist in Data Analytics at DT Consulting, your role will involve: - Taking ownership of end-to-end analytics projects, utilizing our unique approach to research and advisory services. - Leading analyst teams to deliver high-quality research and analytics projects that meet client satisfaction. - Mentoring and guiding junior colleagues in their technical and professional development. - Translating business requirements into analytical problem statements. - Designing and deploying quantitative research surveys. - Performing data cleaning and processing tasks to visualize response datasets. - Managing dashboard development projects, from design to deployment. - Delivering research insights and contributing to strategic consulting outputs. - Collaborating with tech teams to integrate data analytics and generative AI techniques into production systems. - Ensuring solutions are scalable, user-centric, and aligned with business needs. Qualifications required: - Bachelor's degree in Mathematics, Statistics, Engineering, Business Analytics, or Data Science. - 4-6 years of progressive experience in data analytics, business intelligence, and automation solutions. - Experience in leading teams and mentoring junior colleagues. - Proficiency in Tableau; Power BI skills are advantageous. - Ability to design and run quantitative surveys using CX platforms like Qualtrics, Alchemer, Medallia. - Advanced Excel and PowerPoint skills. - Programming experience in Python or JavaScript and SQL. - Understanding of LLMs and GenAI technologies. - Strong product management mindset with experience in defining product roadmaps. - Excellent problem-solving, communication, and project management skills. - Ability to engage non-technical stakeholders and simplify complex concepts. Desired Skills: - Experience in the life sciences industry within an agency/consultancy or global capability center environment. - Experience in building and maintaining automated data pipelines to support strategic decision-making and business operations. - Proficiency in statistical concepts and ML algorithms. - Demonstrable experience with various quantitative research methodologies and survey approaches. - Experience with cloud platforms like AWS, Azure, or GCP. - An entrepreneurial mindset and a commitment to delivering outstanding work. Please note that you will be based in the Bengaluru office with potential ad-hoc international travel. All candidates must be eligible to work in the relevant location.,

As a Demand Planning Analyst at Saks Global, you will play a crucial role in collaborating with the Merchandising Planning and Buying teams of Saks OFF 5TH (SOF) in North America. Your primary responsibility will be to create accurate reports for the assigned business area and work towards achieving department in-stock goals through effective forecasting and inventory management. Your attention to detail and analytical skills will be essential in analyzing sales history, trends, and other factors affecting in-stocks and profitability. Additionally, you will be responsible for maintaining proper store inventory levels and developing allocation strategies to maximize sales potential. Key Responsibilities: - Create accurate reports for the assigned business area. - Collaborate with Planners and Buyers to manage Replenishment inventory through accurate forecasting. - Maintain in-stock goals by analyzing sales history and trends. - End to end ownership of categories and business metrics. - Execute strategies to drive supply chain initiatives for alternative forms of fulfillment. - Ensure timely and proactive communication with key stakeholders. Qualifications: - Graduation/Post-graduation with 1 to 3 years of relevant work experience. - Preference for work experience in the retail industry with knowledge in supply chain. Required Skills: - Analytical mindset with advanced excel skills and problem-solving abilities. - Proficiency in data management and interpretation using statistical concepts. - Strong planning and operational skills. - Effective communication skills. - Proficiency in excel and other MS Office tools. - Ability to work well in a team and contribute positively to the work environment. - Highly motivated and committed to delivering high-quality work. - Knowledge of SQL and VBA Macros will be an added advantage. Thank you for considering a career at Saks Global. We are an equal opportunity employer and welcome applicants from all backgrounds. If selected for an assessment or selection process, accommodations are available upon request. We appreciate your interest and look forward to reviewing your application.,