51 Regression Analysis Jobs in Ghaziabad

As a highly motivated and experienced data scientist, you will lead a team of Gen-Ai Engineers involved in various processes from data extraction to deploying AI models to production. Your passion for artificial intelligence and staying up-to-date with the latest developments will be crucial in this role. Key Responsibilities: - Utilize frameworks like Langchain for developing scalable and efficient AI solutions. - Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. - Work closely with cross-functional teams to define problem statements and prototype solutions leveraging generative AI. - Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. - Explore and visualize data to gain an understanding of it, identify differences in data distribution that could affect model performance in the real world. - Oversee data-centered projects, verify data quality, ensure it via data cleaning, and supervise data acquisition process if more data is needed. - Find available datasets online for training, define validation strategies, feature engineering data augmentation pipelines on a given dataset. - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them. - Deploy models to production. Qualifications and Education Requirements: - Bachelors/Masters degree in computer science, data science, mathematics, or a related field. - 3-10 years of experience in building Gen-Ai applications. Preferred Skills: - Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis. - Proficiency with deep learning frameworks like TensorFlow, PyTorch, and Keras. - Specialization in Deep Learning (NLP) and statistical machine learning. - Strong Python skills. - Experience with developing production-grade applications. - Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone. - Understanding and experience with retrieval algorithms. - Worked on Big data platforms and technologies such as Apache Hadoop, Spark, Kafka, or Hive. - Familiarity with working and deploying applications on Ubuntu/Linux system. - Excellent communication, negotiation, and interpersonal skills.,

As a Data Analyst Intern at TTFA Academy, you will be an integral part of the data and analytics team, gaining hands-on experience in real-world data projects. Your role will involve the following key responsibilities: - Collect, clean, and analyze datasets from various sources. - Build and maintain interactive Power BI dashboards and reports. - Utilize Power Query and M code for data transformation and automation. - Perform statistical analysis to identify patterns and trends. - Work with cross-functional teams to support data-driven decisions. - Document and present analytical findings effectively. To excel in this role, you are required to have the following skills: - SQL data querying and optimization. - Excel advanced formulas, pivot tables, automation. - Power BI dashboards, data modeling, DAX. - Power Query / M code for ETL and data shaping. - Python data analysis libraries (Pandas, NumPy, Matplotlib). - Statistical Analysis including hypothesis testing, regression, variance analysis. Ideal candidates for this position include students or graduates in Data Science, Statistics, Computer Science, or related fields, with strong analytical and logical reasoning skills. We are looking for enthusiastic learners who enjoy solving real-world data challenges. TTFA Academy offers industry-level exposure to BI and data automation projects, mentorship from senior data professionals, and a Certificate and Letter of Recommendation upon completion of the internship. Exceptional performers may receive a full-time offer based on their performance and skill demonstration. If you are interested in applying for the Data Analyst Intern position in Noida, please send your updated resume to info@ttfaacademy.com with the subject line "Application for Data Analyst Intern - Noida".,

As a Solution Architect/Business Development Manager at NTT DATA, your role involves driving business growth and delivering innovative solutions in the field of AI/ML. You will be responsible for assessing client business requirements, designing technical solutions, recommending AI/ML approaches, and collaborating with delivery organizations to implement end-to-end solutions. Key Responsibilities: - Business Requirement Analysis: Assess client's business requirements and convert them into technical specifications that meet business outcomes. - AI/ML Solution Design: Recommend the right AI/ML approaches to meet business requirements and design solutions that drive business value. - Opportunity Sizing: Size the opportunity and develop business cases to secure new projects and grow existing relationships. - Solution Delivery: Collaborate with delivery organizations to design end-to-end AI/ML solutions, ensuring timely and within-budget delivery. - Costing and Pricing: Develop costing and pricing strategies for AI/ML solutions, ensuring competitiveness and profitability. - Client Relationship Management: Build and maintain strong relationships with clients, understanding their business needs and identifying new opportunities. - Technical Leadership: Provide technical leadership and guidance to delivery teams, ensuring solutions meet technical and business requirements. - Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends. - Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure successful project delivery. Requirements: - Education: Master's degree in Computer Science, Engineering, or related field - Experience: 10+ years of experience in AI/ML solution architecture, business development, or a related field - Technical Skills: - Strong technical expertise in AI/ML, including machine learning algorithms, deep learning, and natural language processing. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Experience with cloud-based AI/ML platforms and tools (e.g., AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform). - Soft Skills: - Excellent business acumen and understanding of business requirements and outcomes. - Strong communication and interpersonal skills, with the ability to work with clients and delivery teams. - Business Acumen: Experience with solution costing and pricing strategies. - Strong analytical and problem-solving skills, with the ability to think creatively and drive innovation. Nice to Have: - Experience with Agile development methodologies. - Knowledge of industry-specific AI/ML applications (e.g., healthcare, finance, retail). - Certification in AI/ML or related field (e.g., AWS Certified Machine Learning Specialty). Location: Delhi or Bangalore Workplace Type: Hybrid Working NTT DATA is an Equal Opportunity Employer.,

As a highly motivated and experienced data scientist, you will lead a team of Gen-Ai Engineers. Your responsibilities will include managing all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Key Responsibilities: - Utilize frameworks like Langchain for developing scalable and efficient AI solutions. - Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. - Work closely with cross-functional teams to define problem statements and prototype solutions leveraging generative AI. - Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. - Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world. - Verify data quality and ensure it via data cleaning. - Supervise the data acquisition process if more data is needed. - Find available datasets online that could be used for training. - Define validation strategies, feature engineering data augmentation pipelines to be done on a given dataset. - Train models and tune their hyperparameters. - Analyze the errors of the model and design strategies to overcome them. - Deploy models to production. Qualifications and Education Requirements: - Bachelors/Masters degree in computer science, data science, mathematics, or a related field. - At least 3-10 years of experience in building Gen-Ai applications. Preferred Skills: - Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis to extract insights and make predictions from data. - Proficiency with a deep learning framework such as TensorFlow, PyTorch, and Keras. - Specialized in Deep Learning (NLP) and statistical machine learning. - Strong Python skills. - Experience with developing production-grade applications. - Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone. - Understanding and experience with retrieval algorithms. - Worked on Big data platforms and technologies such as Apache Hadoop, Spark, Kafka, or Hive for processing and analyzing large volumes of data efficiently and at scale. - Familiarity in working and deploying applications on Ubuntu/Linux system. - Excellent communication, negotiation, and interpersonal skills.,

You will be working as a Data Entry and Manual Testing Specialist at Gauge Data Solutions in Noida. Your primary responsibility will be to ensure accurate, well-organized, and accessible data while conducting manual testing on the website to identify bugs and maintain high-quality standards. **Key Responsibilities:** - **Data Entry:** - Accurately input, update, and maintain data in company databases and systems. - Review and verify data for accuracy and completeness. - Perform routine data cleaning and validation tasks to ensure data integrity. - Compile and organize data into reports, spreadsheets, or other formats as required. - Respond to data-related queries and provide data insights when necessary. - Manage and maintain digital and physical filing systems. - **Manual Testing:** - Execute manual test cases based on product specifications and requirements. - Work closely with the development team to understand software functionality and contribute to test planning. - Perform regression, functional, and exploratory testing of software applications. - Verify bug fixes and re-test the website to ensure issues are resolved. - Assist in the preparation of test environments, test data, and necessary documentation. **Qualifications:** - Bachelor's degree in any specialization, preferably in a related field. - Proven experience in data entry with strong attention to detail and accuracy. - Familiarity with data entry software (e.g., Microsoft Excel, Google Sheets) and databases. - Understanding of manual testing concepts and methodologies. - Strong problem-solving skills with the ability to spot and report inconsistencies. - Ability to work independently and as part of a team. - Excellent communication skills, both written and verbal. - Basic knowledge of programming concepts or software testing is a plus. - Ability to handle repetitive tasks and work under tight deadlines. In addition to the above, prior experience in both data entry and manual testing roles, knowledge of SQL or basic database querying, and experience with test documentation and writing test cases are desirable skills. Please note that this is a full-time, permanent position suitable for freshers. The work location is in person.,

Role Overview: As a Teaching Assistant for the Data Science and Data Analyst Offline Programs, you will be a crucial support system for learners as they progress from foundational analytics to cutting-edge technologies such as Deep Learning, Natural Language Processing (NLP), and Generative AI. Your role will involve conducting doubt-clearing sessions, guiding hands-on activities, assisting in project development, and creating an engaging and application-driven learning environment in collaboration with instructors. Key Responsibilities: - Conduct regular doubt-clearing sessions covering core topics such as Python, statistics, SQL, Excel, data visualization, machine learning, deep learning, NLP, and generative AI. - Organize hands-on exercises, case studies, and model-building challenges using real-world datasets and tools like Pandas, Scikit-learn, Tensorflow, PyTorch, Hugging Face, and OpenAI APIs. - Monitor learner progress, identify conceptual gaps, and provide personalized support across foundational and advanced AI concepts. - Foster an engaging classroom environment by promoting curiosity, experimentation, and collaboration. Sub-Goals: - Strengthen learners" understanding in analytical and AI-driven topics through practice-oriented sessions. - Help students build confidence in solving complex problems using classical and modern AI tools. Outcome-Oriented Learning Facilitation: - Collaborate with instructors to assist learners in achieving key milestones such as Exploratory Data Analysis, Dashboard Design, Machine Learning Projects, NLP Pipelines, and Generative AI Capstone Projects. - Review and provide feedback on assignments involving regression, classification, neural networks, transformers, chatbot building, and generative model applications. - Guide learners in developing a diverse portfolio showcasing skills in data analysis, business problem-solving, and AI innovation. - Ensure students gain hands-on exposure to AI applications like image generation, language modeling, and real-time analytics. Sub-Goals: - Equip students with practical, in-demand skills for roles such as Data Analyst, Business Analyst, Data Scientist, and AI Engineer. - Bridge theoretical knowledge with practical implementation using industry-adopted tools and frameworks. Batch Management, Coordination, and Continuous Improvement: - Maintain batch records, track attendance, learner progress, and project completion. - Coordinate with academic and operation teams for seamless batch execution, including scheduling expert sessions on AI and managing resource distribution. - Resolve operational or technical issues hindering the learning process. - Collaborate in refining teaching methods and integrating feedback for improved delivery of advanced AI concepts. Sub-Goals: - Ensure smooth logistics and academic execution across beginner and advanced AI learning tracks. - Actively contribute to enhancing AI curriculum effectiveness and learner engagement strategies. Qualification Required: - Education: Bachelor's degree in Computer Science, Engineering, Statistics, or related field (or equivalent industry experience). - Technical Skills: Proficiency in Python, SQL, Excel, Statistics, data visualization, machine learning, deep learning frameworks, NLP libraries, and generative AI tools. - Hands-on Experience: Developing and deploying ML/DL models, building dashboards, NLP pipelines, and working with generative models. - Communication: Ability to explain fundamental and advanced AI concepts clearly and engagingly. - Mentorship: Passion for teaching and mentoring learners at various stages of their data and AI journey. - Collaboration & Time Management: Balancing academic guidance, operational tasks, and team collaboration effectively.,

As a Senior Business Systems Analyst at Ameriprise India LLP, you will play a crucial role in researching and determining clients" needs to identify product features while pitching ideas to stakeholders. Your primary responsibilities will include collaborating with scrum teams, product development departments, and stakeholders to ensure that products meet specific objectives outlined by clients. You will also be responsible for analyzing requirements, estimating costs, and establishing system protocols. Key Responsibilities: - Implement advanced strategies for gathering, reviewing, and analyzing data requirements - Master strategic business process modeling, traceability, and quality management techniques - Estimate work effort and assist the Project Manager/Scrum Master with task planning - Lead cross-functional business and technical teams to deliver the selected solution - Manage a team of 4-5 members, mentor/guide them, and assess business process and system inefficiencies - Identify ways to increase adoption and customer satisfaction - Recommend and institute BA best practices, methodology, and tools - Take a leading role in the analysis and coordination of developments - Participate in the Agile/SCRUM development process and guide developers in daily tasks - Create detailed functional design documentation for the software solution - Maintain relevant test cases based on specifications and ensure the software meets acceptance criteria - Contribute to estimating development efforts and impact analysis - Define test scenarios, perform non-regression analysis, and analyze test results - Participate in product second line support and contribute to implementation - Stay updated on regulator publications for required changes/updates in applications - Troubleshoot issues, understand system changes" impact, and document accurate requirements and specifications - Produce high-quality Business Requirements Documents that define project objectives - Document business processes effectively for understanding and improvement - Create training plans and materials for proficient process contributors - Map as-is and to-be processes to identify breakdowns and improvement opportunities - Troubleshoot issues and document data mapping for reports and interfaces Required Qualifications: - Minimum 9+ years of experience in a software development environment focusing on business processes - Strong knowledge in Financial Services/Wealth Management domain - Ability to work in a fast-paced, dynamic environment and influence others for results - Experience in creating Process Maps, UML Behavior Diagrams, and business technology documentation - Strong knowledge of business information data sources, rules, and processes - Experience with relational databases, SQL, Oracle, and APIs - Logical proficiency and ability to work creatively and analytically - Self-motivated with a willingness to learn and grow within the team - Excellent presentation and facilitation skills Preferred Qualifications: - Proficient in Microsoft tools like Visio, PowerPoint, and Excel - Proficiency in data analytics/visualization tools - Proficient in JIRA or similar work management tool - Experience with Scrum process and ceremonies About Ameriprise India LLP: Ameriprise India LLP has been providing client-based financial solutions for 125 years, focusing on asset management, retirement planning, and insurance protection. With a global presence and inclusive culture, Ameriprise values your contributions and offers opportunities for career growth and community involvement. Join a team of talented individuals who share your passion for great work and ethical practices. (Note: The provided Job Description does not include information about the position being full-time, the timings, the India Business Unit, or the Job Family Group as they were not explicitly mentioned in the Job Description.),

As a Data Architect-AI/ML at Pine Labs, you will play a crucial role in analyzing complex financial data, developing machine learning models, and collaborating with various teams to deliver impactful results. Your responsibilities will include: - Analyzing and interpreting complex financial data to identify trends, patterns, and actionable insights. - Developing and implementing machine learning models for predictive analytics, classification, regression, etc. - Collaborating with product, engineering, and business teams to define data science requirements and deliver impactful results. - Cleaning, preprocessing, and transforming data to ensure quality and consistency. - Using data visualization techniques to communicate findings clearly to non-technical stakeholders. - Contributing to the development and enhancement of data pipelines and workflows. - Monitoring and evaluating model performance to ensure accuracy and reliability over time. - Staying updated on the latest advancements in data science and machine learning. Qualifications required for this role include: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. - 10-16 years of hands-on experience in artificial intelligence, data science, machine learning, or related fields. - Proficiency in Python, R, or similar programming languages for data analysis and model development. - Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering). - Familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy, SciPy). - Experience with data visualization tools (e.g., Tableau, Power BI, superset). - Experience working with large datasets and performing data cleaning and preprocessing. - Familiarity with AWS cloud platforms (DMR, Glue, Redshift). - Strong communication skills and ability to collaborate with cross-functional teams. Additional Information: You should also be comfortable with: - Working from the office: 5 days a week (Sector 62, Noida) - Pushing the boundaries and embracing out-of-the-box thinking to bring new ideas to life. In this role, Pine Labs values individuals who: - Take the shot by deciding fast and delivering right. - Act as the CEO of what they do, showing ownership and making things happen. - Own tomorrow by building solutions for merchants and doing the right thing. - Sign their work like an artist, seeking to learn and taking pride in their work.,

You will be part of a team at Adobe Document Cloud Web Integrations, working on building delightful customer experiences for users who integrate Acrobat with various ecosystems such as Google Workspace, SharePoint, OneDrive, Outlook, and Box. Your role will involve designing, developing, and implementing automated test scripts, collaborating with cross-functional teams, and performing various types of testing to ensure software functionality and performance. **Key Responsibilities:** - Design, develop, and implement automated test scripts using industry-standard tools and frameworks across Acrobat integrations and extensions. - Collaborate with multi-functional teams to understand project requirements and define test strategies. - Perform functional, regression, integration, and performance testing to validate software functionality and performance. - Identify, document, and track software defects using bug-tracking systems (JIRA) and work with the development team to resolve issues. - Conduct root cause analysis of software defects and provide recommendations for improvement. - Develop and maintain test plans, test cases, and test data sets to ensure comprehensive test coverage. - Continuously improve the testing process by exploring new tools and techniques to increase efficiency and effectiveness. - Collaborate with the Quality Assurance team to establish and maintain quality metrics and ensure compliance with industry-standard processes. - Stay updated with the latest trends and advancements in software quality assurance and automation. **Qualifications Required:** - Bachelor's degree in Computer Science, Engineering, or a related field. - 1-4 years of experience in software quality assurance, preferably in an Agile development environment. - Solid understanding of software testing methodologies, tools, and techniques. - Proficiency in test automation using industry-standard frameworks (e.g., WebdriverIO, Mocha, Appium, JUnit, TestNG). - Experience with scripting languages like JavaScript for test automation. - Familiarity with version control systems (e.g., Git) and continuous integration/delivery tools (e.g., Jenkins). - Excellent analytical and problem-solving skills with attention to detail. - Strong communication and collaboration abilities. - Ability to work effectively in a fast-paced, dynamic environment. - Relevant certifications in software quality assurance or testing (e.g., ISTQB, CSTE) are a plus.,

As a Principal Business Systems Analyst at UKG, you will play a crucial role in identifying and partnering with internal business units to provide technology solutions. Your responsibilities will include: - Leading large strategic projects and new solutions for the Microsoft D365 Finance & Operations ERP platform - Building and maintaining relationships with corporate stakeholders across Accounting & Finance - Analyzing and understanding business requirements, processes, functional requirements, and system capabilities - Collaborating with technical leads, developers, and integration developers on functional and technical requirements - Creating deliverables for business analysis and functional design for application development, system integration, and data migration initiatives - Managing agile delivery for the assigned IT service area team - Performing functional, regression, unit, and user acceptance testing Qualifications required for this role include: - Minimum of 12 years of experience as a BA, writing requirements in an IT department or with a software company - Minimum of 6 years of ERP implementation experience with Microsoft D365 Finance & Operations solution - Minimum of 5 years of managing/leading a team of 5 or more resources - Experience in Scrum and leading Scrum ceremonies - Knowledge of all phases of the Software Development Life Cycle - Bachelor's Degree in Information Systems, Business Administration, or related discipline At UKG, you will be part of an organization with a global presence and a commitment to diversity and inclusion. With a focus on building innovative HR technology, UKG is dedicated to creating great workplaces for all. Join us on our journey to make a positive impact on organizations worldwide.,

Role Overview: As a part of the Data Science team at BOLD, you will utilize your analytical skills and business knowledge to provide valuable insights to the Product and Management teams. Your role will involve leveraging vast user data sets to drive product development, enhance existing products, and discover inferences and relationships in data to facilitate the creation of new products. Key Responsibilities: - Work on data science projects involving NLP, large language models, predictive modeling, statistical analysis, vector space modeling, and machine learning - Utilize rich user data sets to conduct research, develop models, and create data products in collaboration with Development & Product teams - Design and implement novel and scalable data systems using machine learning techniques to improve user experience - Collaborate effectively with cross-functional teams to deliver end-to-end products and features - Estimate efforts, identify risks, meet project schedules, and run review meetings efficiently - Mentor and coach data scientists, providing technical leadership and fostering their development - Demonstrate keen learning ability and enthusiasm for software development Qualifications Required: - Knowledge and experience in statistical and machine learning algorithms such as regression, decision trees, clustering, neural networks, etc. - Proficiency in Python and experience with large language models - Experience in feature selection, classifier building, and optimization - Familiarity with backend technologies like Flask/Gunicorn and open-source libraries such as Spacy, NLTK, Gensim - Experience with deep-learning libraries like TensorFlow, PyTorch, and common programming languages - Good to have experience with cloud infrastructure (Azure, AWS) and model deployment tools like Jenkins Company Details: BOLD is a global organization dedicated to transforming work lives by helping individuals find jobs. They have created digital products that have empowered millions of people worldwide to build stronger resumes, cover letters, and CVs, enabling them to secure jobs more efficiently. The company celebrates and promotes diversity and inclusion among its employees. (Note: Benefits section omitted as it contained specific details not requested in the JD),

**Job Description:** As a candidate for this role, you will be responsible for advising on suitable statistical tests for academic research in various fields such as Engineering, Management, Life Sciences, or Social Sciences. You are expected to possess a strong conceptual understanding of the appropriate statistical tests based on the data type. Proficiency in SPSS is essential for conducting descriptive, inferential, and predictive analysis. Additionally, familiarity with time series analysis, econometrics, R, Stata, and AMOS will be advantageous. It is crucial that you can effectively interpret and communicate the findings/results of the statistical tests. Your expertise should cover tests like Factor Analysis, Chi-Square, Anova, Mancova, and Logistic Regression. **Qualifications Required:** - Graduation in BA/BCom/BSC - Post Graduation in MA/MCom/MSC **Additional Details:** ELK Education Consultants Pvt. Ltd. offers paid leaves as part of the benefits package. This role requires an ideal candidate with an M.Sc in Statistics who possesses a deep understanding of when to apply specific statistical tests and has hands-on experience with SPSS. Proficiency in MS Excel and STATA would be considered an added advantage. If you are keen on contributing your statistical expertise to academic research projects across multiple disciplines, this position at ELK Education Consultants Pvt. Ltd. could be the perfect fit for you. Total word count: 176 words.,

Role Overview: You are required for the position of a Data Scientist Engineer with a strong background in AI/ML, data collection preprocessing, estimation, and architecture creation. The role demands 6 to 10 years of experience and is based in Noida, with flexibility for travel. It is mandatory to be present in the office twice a week. This is a 6-month contract position with the possibility of extension. If interested, please share your resume at heena@aliqan.com. Key Responsibilities: - Model Development: Design and implement ML models to address complex business challenges. - Data Preprocessing: Clean, preprocess, and analyze large datasets to derive meaningful insights and model features. - Model Training: Train and fine-tune ML models using techniques such as deep learning and ensemble methods. - Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. - Deployment: Deploy ML models in production and monitor performance for reliability. - Collaboration: Collaborate with data scientists, engineers, and stakeholders to integrate ML solutions. - Research: Stay updated on ML/AI advancements and contribute to internal knowledge. - Documentation: Maintain comprehensive documentation for all ML models and processes. Qualification Required: - Bachelor's or master's degree in computer science, Machine Learning, Data Science, or a related field. - Experience of 6-10 years in the field. Desirable Skills: Must Have: - Experience in timeseries forecasting, regression Model, and Classification Model. - Proficiency in Python, R, and data analysis. - Handling large datasets with Panda, Numpy, and Matplot Lib. - Version Control: Git or any other. - Hands-on experience in ML Frameworks such as Tensorflow, Pytorch, Scikit-Learn, and Keras. - Good knowledge of Cloud platforms (AWS/Azure/GCP) and tools like Docker and Kubernetes. - Skills in Model Selection, evaluation, Deployment, Data collection and preprocessing, and Feature engineering. Good to Have: - Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. - Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. - Exposure to BFSI and banking domain.,

Role Overview: You will be joining the Data Science team at BOLD where you will utilize your analytical skills and business knowledge to provide valuable insights to the Product and Management teams. Your main responsibilities will include driving product development by leveraging user data sets, discovering patterns in data, and developing predictive algorithms and models. Key Responsibilities: - Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. - Leverage rich data sets of user data to perform research, develop models, and create data products with Development & Product teams. - Develop novel and scalable data systems in cooperation with system architects using machine learning techniques to enhance user experience. - Knowledge and experience using statistical and machine learning algorithms such as regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods. - Expert knowledge in Python. - Experience working with backend technologies such as Flask/Gunicorn. - Experience on working with open-source libraries such as Spacy, NLTK, Gensim, etc. - Experience on working with deep-learning libraries such as Tensorflow, Pytorch, etc. - Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability, etc. - Be a keen learner and enthusiastic about developing software. Qualifications Required: - Experience in feature selection, building and optimizing classifiers. - Should have done one or more projects involving fine-tuning with LLMs. - Experience with Cloud infrastructure and platforms (Azure, AWS). - Experience using tools to deploy models into the production environment such as Jenkins. - Experience with the ontology/taxonomies of the career/recruiting domain e.g. O*Net NR.,

You have significant experience in software testing, quality assurance, or related fields, with a specific focus on pre-sales or consulting roles. Your responsibilities will involve engaging with sales teams and potential clients to comprehend their business challenges, objectives, and technical requirements. You will lead the technical aspects of the pre-sales process by sharing your expert knowledge in testing methodologies, tools, and frameworks. Your key responsibilities include: - Conducting thorough assessments and analysis of client needs to propose suitable solutions that address their pain points. - Delivering hands-on demonstrations of the company's software to showcase how our testing solutions can improve the quality of their applications and delivery processes. - Collaborating with sales and technical teams to create customized testing solutions that align with client-specific requirements. - Developing detailed solution proposals encompassing testing strategies, roadmaps, timelines, and resource needs. - Assisting in drafting and presenting Proof of Concept (PoC) to validate the proposed testing solution and exhibit the product's capabilities. Additionally, you will: - Offer expert-level consultation on various testing methodologies such as functional, regression, performance, security, and automated testing. - Advise clients on optimal practices for establishing testing environments, test case design, execution, and reporting. - Guide clients on incorporating automated testing into their CI/CD pipeline to enhance testing efficiency and speed. - Troubleshoot technical roadblocks or challenges clients encounter during the pre-sales process. You are expected to build and maintain strong client relationships throughout the sales cycle, acting as a bridge between sales and technical teams to ensure seamless communication and alignment with client expectations. It is crucial to thoroughly understand clients" business and technical requirements to integrate them into the solution design effectively. Moreover, staying updated on industry trends, emerging technologies, and new testing methodologies is essential to keep the sales team and clients informed. You will also contribute to developing best practices, whitepapers, and other knowledge-sharing resources for internal teams and clients. Providing feedback to the product and engineering teams for continuous improvement based on client input is also part of your role.,

As an HRIS Analyst at Align Technology, you will be a crucial part of the Global HR Technology team, responsible for providing day-to-day Workday HR system support for the APAC region. Your role will involve managing, troubleshooting, and resolving system-related issues to ensure timely responses and delivery of high-quality solutions and customer service to end users. You will also support configuration and troubleshooting of business processes in areas such as Core HCM, Absence, Time Tracking, Benefits, Compensation, and Performance/Talent Management. Your key responsibilities will include: - Creating reports and dashboards in Workday, including the ability to create calculated fields - Executing mass loading of data through Workday EIB - Maintaining data integrity by running queries and analyzing data - Providing security administration by maintaining user system access, roles, and permissions - Assisting with testing of Workday new releases, features, and performing regression testing - Supporting the development, configuration testing, and implementation of new enhancements and integrations - Maintaining user guides, quick reference materials, and providing training to end users as necessary - Collaborating with colleagues to identify needs and make recommendations for process improvements, system enhancements, and new applications - Participating in other projects or duties as required - Providing support to audit processes and the quality management system as needed To excel in this role, you will need to be a self-starter with the ability to adapt, learn quickly, and work independently. Strong time management skills and the ability to balance multiple priorities in a fast-paced environment are essential. Additionally, you should possess strong analytical, problem-solving, interpersonal, communication, and organizational skills. Proactive and empathetic customer service skills are also important. Qualifications required for this role include: - Bachelor's degree or equivalent experience - At least 4 years of experience with direct Workday experience - Advanced Microsoft Excel skills (Pivot table, vLookup, etc.) - Knowledge of SNOW is a plus If you are looking to join a dynamic team where you can contribute your expertise and make a difference, this role at Align Technology might be the perfect fit for you.,

As a Valuation Analyst at Barclays, you will embark on a transformative journey to spearhead the evolution of the digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Your role will involve leading and building automated forecasting solutions to evaluate acquisition marketing investments at the partner, channel, offer, and segment levels. Additionally, you will help drive marketing investment optimization decisions for the business, leveraging data science capabilities through operationalizing data platforms and advanced analytical methodologies and tools to forecast P&L and monitor model accuracy to drive the best outcomes across channels and partners. Key Responsibilities: - Proficient in Python, SAS, SQL. - Good knowledge of data analysis and statistical techniques (such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis, and neural networks, etc.). - Deep understanding of Cards P&L and forecasting methodologies. - Experience in Credit Card/Banking, Data Science, Machine Learning, and Advanced Analytics. - Experience with Data visualization. To be successful in this role, you may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based in our Noida office. In your role as a Valuation Analyst, you will be responsible for extracting meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across departments. Qualifications Required: - Proficiency in Python, SAS, SQL. - Strong knowledge of data analysis and statistical techniques. - Deep understanding of Cards P&L and forecasting methodologies. - Experience in Credit Card/Banking, Data Science, Machine Learning, and Advanced Analytics. - Experience with Data visualization. As a Valuation Analyst at Barclays, you will have the opportunity to impact the work of related teams within the area, partner with other functions and business areas, and take responsibility for embedding new policies and procedures adopted due to risk mitigation. You will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

As Vice President-QA Model Monitoring at Barclays, you will be leading the evolution of the digital landscape and driving innovation to ensure unparalleled customer experiences. Your role will involve designing, building, producing, and analyzing regular model monitoring reports to assess the fitness of models for their intended use. **Key Responsibilities:** - Monitor models in line with the Model Risk Policy and associated Standards. - Engage with stakeholders for design, data specifications, build, and implementation of model monitoring reports. - Document and review model monitoring results, conclusions, and recommendations with Model Owners. - Adhere to internal and external governance and controls requirements in the model monitoring process. - Provide deep dive and ad hoc analysis to support internal and external requirements. - Generate management reports, oversee operations, and escalate issues when necessary. **Qualifications Required:** - Versatility in coding practices - Strong grasp of credit risk model architecture - Specialized skills in model governance and analytics - Knowledge of statistical techniques like regression, time series, cluster analysis, and machine learning algorithms - Proficiency in statistical analysis using software like Excel, SQL, R, SAS, Python - Excellent written and verbal communication skills Your role will also involve contributing to strategy, driving recommendations for change, managing policies and processes, and delivering continuous improvements. You are expected to demonstrate leadership behaviors such as listening, inspiring, aligning across the enterprise, and developing others. All colleagues at Barclays are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

**Job Description:** As a highly motivated and experienced data scientist, you will lead the team of Gen-Ai Engineers. Your responsibilities will include managing all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. You should be passionate about artificial intelligence and stay updated with the latest developments in the field. **Key Responsibilities:** - Utilize frameworks like Langchain for developing scalable and efficient AI solutions. - Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. - Work closely with cross-functional teams to define problem statements and prototype solutions leveraging generative AI. - Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. - Explore and visualize data to gain an understanding of it and identify differences in data distribution that could impact model performance in the real world. - Devise and oversee data-centered projects, verify data quality, and ensure it through data cleaning. - Supervise the data acquisition process if additional data is required. - Find available datasets online for training purposes. - Define validation strategies, feature engineering, and data augmentation pipelines for a given dataset. - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them. - Deploy models to production. **Qualifications and Education Requirements:** - Bachelors/Masters degree in computer science, data science, mathematics, or a related field. - Minimum 5-10 years of experience in building Gen-Ai applications. **Preferred Skills:** - Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis. - Proficiency with deep learning frameworks like TensorFlow, PyTorch, and Keras. - Specialization in Deep Learning (NLP) and statistical machine learning. - Strong Python programming skills. - Experience in developing production-grade applications. - Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone. - Understanding and experience with retrieval algorithms. - Worked on Big data platforms and technologies such as Apache Hadoop, Spark, Kafka, or Hive. - Familiarity with working and deploying applications on Ubuntu/Linux systems. - Excellent communication, negotiation, and interpersonal skills.,

As part of the technical leadership team in data warehousing and Business Intelligence, your role involves working on multiple project streams and clients to enhance business decision-making, particularly within the Lifesciences/ Pharmaceutical domain. **Key Responsibilities:** - Lead and guide the team independently to design, implement, and deliver complex reporting and BI project assignments. - Possess expertise in a range of BI and hosting technologies such as the AWS stack (Redshift, EC2), Qlikview, QlikSense, Tableau, Microstrategy, and Spotfire. - Manage client relationships and expectations independently, delivering results back to the client with excellent communication skills. - Translate accurate briefs from the client into tasks for team members, establishing priorities and timeline plans. - Maintain high standards of quality and thoroughness, monitoring accuracy and quality of work while proactively identifying potential risks and mitigation plans. - Think analytically and logically to analyze data, problems, and situations, providing guidance to team members in the analysis process. **Qualifications Required:** - Education: BE/B.Tech, Master of Computer Application - Minimum of 5 years of relevant experience in the Pharma domain. - Technical expertise: At least 15 years of hands-on experience in BI tools such as Qlikview, QlikSense, Tableau, Microstrategy, and Spotfire. Proficiency in UI design, report modeling, performance tuning, regression testing, MS Excel, and SQL. - Functional experience in Pharma data sources like IMS, Veeva, Symphony, Cegedim, and business processes including alignment, market definition, segmentation, sales crediting, and activity metrics calculation. - Behavioral Competencies: Project Management, Communication, Attention to P&L Impact, Teamwork & Leadership, Lifescience Knowledge, Ownership, Cultural Fit, Scale of resources managed, Scale of revenues managed/delivered, Problem-solving, Talent Management, Capability Building/Thought Leadership. - Technical Competencies: Delivery Management- BIM/Cloud Info Management, Data Modelling, Business Acumen, Business Consulting. Please note that this is a summary of the job description provided.,