539 Logistic Regression Jobs - Page 22

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"™s Audit plan for the calendar year. "¢ To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. "¢ Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. "¢ Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) "¢ Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. "¢ Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries "¢ Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) "¢ Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. "¢ Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"™s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"™s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. "¢ Person who can work alone, close audits and manage stakeholders "¢ Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"™s degree mandatory). "¢ A Bachelor"™s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: "¢ Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. "¢ Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"™s Audit plan for the calendar year. "¢ To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. "¢ Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. "¢ Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) "¢ Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. "¢ Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries "¢ Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) "¢ Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. "¢ Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"™s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"™s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. "¢ Person who can work alone, close audits and manage stakeholders "¢ Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"™s degree mandatory). "¢ A Bachelor"™s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: "¢ Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. "¢ Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

Responsibilities: Responsible for Maintenance activity. Responsible for equipment's' health, maintenance work. Responsible for plant's housekeeping. Monitor plant to ensure efficient production. Required Skills: Operations & maintenance of chillers, brine plant, nitrogen system, cooling tower, water distribution system, chemical dosing techniques. Logical thinking. Organizing. Required Qualification: - ITI - RFM

Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence.

About OJ Commerce: OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States. As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. Responsibilities: • Develop, validate, and implement advanced statistical models, including mixed effects models, structural equation modelling, generalized additive models (GAMs), Bayesian modelling, and hierarchical models to address complex business challenges. • Analyze large datasets using statistical techniques to extract actionable insights and trends. • Collaborate with stakeholders to understand business needs and translate them into analytical solutions. • Present findings and recommendations clearly to both technical and non-technical audiences. • Stay current with industry trends, statistical methodologies, and best practices in data analysis. • Document methodologies and results, ensuring transparency and reproducibility of models. • Conduct exploratory data analysis to inform model development and improve accuracy. • Participate in continuous improvement initiatives to enhance modelling processes and tools. Qualifications: • Masters degree or above in Statistical Sciences. • Proven experience in statistical modeling, data analysis, and predictive analytics. • Very strong proficiency in statistical software (e.g., R, Python, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI). • Strong understanding of advanced statistical techniques, including regression analysis, time series forecasting, mixed effects models, structural equation modeling, generalized linear models (GLMs), machine learning algorithms (e.g., decision trees, random forests, support vector machines), and Bayesian inference. • Excellent problem-solving skills and attention to detail. • Strong communication skills, with the ability to convey complex statistical concepts to diverse audiences. • Experience with data management and database systems (e.g., SQL) is a plus. What we Offer • Competitive salary • Medical Benefits/Accident Cover • Flexi Office Working Hours • Fast paced start up

Job Description: We are looking for an experienced Machine Learning/Data Scientist to join our team and contribute to the development of cutting-edge market forecast models. The ideal candidate will have a strong foundation in machine learning, deep learning, and advanced statistical techniques, along with hands-on experience using modern ML tools and frameworks. Key Responsibilities: Design, develop, and implement sophisticated market forecasting models utilizing high-volume macroeconomic and industry driver data. Apply advanced machine learning techniques such as NLP, Bayesian statistics, logistic regression, XGBoost, and deep learning architectures (multimodal, recurrent networks like LSTMs, transformers, attention mechanisms, etc.). Manage the complete lifecycle of market forecasting models from data collection and exploration to model development, deployment, and monitoring. Leverage Python, Pandas, and ML frameworks including scikit-learn, PyTorch, TensorFlow, and Keras for model building and analysis. Utilize advanced statistical techniques including Bayesian cross-correlation, S-curve modeling, and stochastic processes for accurate forecasting. Mentor and support junior members of the Data Science team, promoting best practices and a collaborative culture. Translate complex technical concepts and findings into clear, understandable insights for non-technical stakeholders. Maintain up-to-date knowledge of the latest developments in machine learning, deep learning, GenAI, LLMs, NLP, and computer vision, and integrate new methodologies where appropriate. Collaborate with cross-functional teams to ensure the successful delivery and integration of forecasting solutions. Qualifications: B.Tech/M.Tech/MCA Related field. 4 10 years of experience in machine learning, deep learning, and data science. Proficiency with Python and Pandas; strong experience with ML libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, and Keras. Strong understanding of advanced statistical and machine learning techniques. Demonstrated experience in developing and deploying NLP or computer vision solutions, and working with GenAI and LLM technologies. Excellent problem-solving and communication skills; ability to mentor junior team members and explain complex ideas to a lay audience. Continuous learner with a passion for staying at the forefront of ML and AI innovation.

Roles and Responsibilities: Co-odinate with Departments of Gynaecology and Dermatology for subject recruitment Obtain relevant clinical details of subjectrs recruited and take informed consent Follow up subjects periodically (Telephonic) Collection of blood and vaginal swabs Transportation of samples Data entry and correspondence with ICMR

Job Characteristics:Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments where precedents may not exist. Demonstrates working knowledge and interconnectivity of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify, experiment and collaborate on novel approaches to data science solutions. Makes significant contributions to the exploration, refinement and deployment of data science solutions. Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 8-10 years related experience or MS and 5 years related experience or PhD and less than 2 years experience. Independence level/Reports to:Provides basic leadership and individually contributes to key data science projects/experiments of moderate scope and complexity with high impact on the business. Acts with considerable latitude in determining technical approach required to meet desired objectives. Normally reports to Director, Data Science Manager, or senior technical leader.

Job Summary This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description Essential Responsibilities Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. Preferred Qualification Advanced proficiency in multiple programming and scripting languages, including Python, Java, Scala, and Unix/Linux Shell Scripting. Demonstrated expertise in designing, implementing, and deploying end-to-end AI/ML solutions in production environments on On-Prem and Cloud (GCP, AWS, or Azure). Hands-on experience with Big Data technologies such as Hadoop, Spark, HBase, and Kafka. Expertise in data modeling, feature engineering, and a strong grasp of traditional machine learning algorithms (e.g., Neural Networks, Linear Regression, Logistic Regression, Random Forest, etc.). Experience with Large Language Models (LLMs), particularly in areas like RAG, MCP, and Agentic Agents. Experience in containerization tools like Docker and Kubernetes. GCP experience is a distinct advantage. Strong proficiency in SQL, ETL processes, and database design, with practical knowledge of NoSQL systems like HBase, Redis, and Aerospike. Solid understanding of distributed systems, real-time data streaming, and complex event processing architectures. Knowledge of front-end and back-end development; full-stack engineering experience is a plus.

A Position Overview Position Title Data Science Department TDABSG Level/ Band SM / AVP Role Summary : He or She will be responsible for advancing analytics opportunities in the BFSIsector, managing project delivery, people, and stakeholders. The ideal candidate will have a strong background in advanced analytics and experience in leading high-impact analytics solutions and programs with Indian clients. B Organizational Relationships Reports to AVP/VP Supervises NA C Job Dimensions Geographic Area Covered Pan India Stakeholders Internal TDA-BSG and all other TATA AIA internal departments External Partners D Key Result Areas Stakeholder Management Manage stakeholder interactions through regular updates and grow stakeholder engagement with channel partners. Design, plan, and scope projects with stakeholders. Explain project methodology and project approach to required stakeholders. Project Management and Training Manage end-to-end project deliverables, adhering to timelines, project budgets, and stakeholder expectations. Ensure adherence to Standard Operating Procedures and maintain updated relevant documents. Work with junior team members on projects and coach them on-the-job. Conduct in-house training based on team requirements. Delivery Provide high-end Analytics to channel partners to help them sharpen their business strategy by implementing analytical models. Manage the entire delivery process and be responsible for all aspects of a project to ensure high-quality standards. Understand business problems and address them to solve client problems. E Competencies ( Please copy paste from Competency Dictionary) Competency For Proficiency Scale Proficiency Scale Description Eg Business Acumen and Strategic Orientation Ability to align with the organizations vision with a fair understanding of the insurance industry, regulations, financial markets and the agency business model in order to deliver profitable and sustainable business growth. 3 Has an in-depth understanding of the market of operations and proposes changes if required as per market dynamics. Understands how and to what extent business complexities impacts ones own area of work. Is able to identify trends and analyze performance of self and various branches in ones geography. Has expert knowledge of BA model, BA compensation and Agent commission and progression and uses it to deliver superior performance. Is able to device plans to recruit, develop and sustain distributors on a long term basis with organization. Strives towards achieving proportionate business contribution from all the branches of assigned territory. G Skills Required Technical Data processing and data science libraries of Python (NumPy, Pandas, Scikit learn, etc.). Experience and understanding of working with massive datasets locally/ distributed using tools such as Apache Spark, and familiarity with packages like Vaex, and Dask, and using these datasets to train and develop and train machine learning algorithms. Knowledge of analytical models such as promotion optimization, Natural Language Processing (NLP) including experience in (BERT and DisilBert Models), Cluster Analysis, Segmentation, Next best recommendation, Neural network models, Logistic Regression (Fraud Models, Lapsation etc), ANN based model, LSTM, Transformers, Attention Models, Bagging and boosting, Generative model, Experience with cloud-based analytics platforms, such as Azure, GCP, or AWS. Familiarity with automated training, deployment, and monitoring of models in production using ML-Ops pipelines. for handling channel partnerships with banks knowledge in banking variables and bureau data is preferred. Behavioral Essential Desired Interpersonal skills Communication skills Creative thinking skills Supervising/Leadership skills Teamwork Skills Influencing skills Relationship Building skills Decision making skills H Incumbent Characteristics Essential Desired Qualification 1. Graduate/Postgraduate degree from Tier-I/II colleges. 2. Ability to design and review new solution concepts and lead the delivery of high-impact analytics solutions and programs for global clients. 3. Strong understanding of statistical concepts. Experience 8-12 years of experience in advanced analytics.

We are seeking an experienced Advanced Analytics Specialist to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background and a passion for transforming complex data into actionable insights. Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 3+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc. ) for various objectives Hyper parameter tuning Prompt Engineering Embedding Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. What We Offer: Opportunities for professional development and career growth. A collaborative and innovative work environment. If you are passionate about data analytics and want to make a significant impact in the retail/CPG industry, we encourage you to apply! Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent

We are seeking an experienced Advanced Analytics Specialist to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background and a passion for transforming complex data into actionable insights. Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 3+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc. ) for various objectives Hyper parameter tuning Prompt Engineering Embedding Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. What We Offer: Opportunities for professional development and career growth. A collaborative and innovative work environment. If you are passionate about data analytics and want to make a significant impact in the retail/CPG industry, we encourage you to apply! Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent

. Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As a Quant Modeling Associate Credit Risk in India, you will support critical statistical development projects and related analysis. Your role will involve developing, testing, and validating statistical models utilized to f orecast credit impairment for fixed income securities . You will utilize your advanced analytical skills to perform data extraction, sampling, and statistical analyses. You will also design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture is all about thinking outside the box, challenging the status quo and striving to be best-in-class. Job responsibilities Develop regulatory stress testing and reserve provisioning models, utilizing econometrics and financial mathematics Design and create platforms for smoothly integrating credit risk forecasting models to enhance performance and scalability while ensuring accuracy Conduct research and development prototypes to identify new ways of using technologies, enabling innovation and delivering products Solve unstructured business problems to deliver effective suite of solutions within a timebound manner Adapt agile practices to deliver product development analysis, build and implementation of next generation (AI) solutions to effective credit risk monitoring and review Collaborate across teams and geographies to leverage data, technology and platforms to build analytical tools, as well as to help design and build the next generation of intelligent solutions Embrace a control focused culture, develop strong understanding of business and credit risk to partner effectively with stakeholders Required qualifications, capabilities, and skills Proficiency in statistical modeling techniques, including multivariate regression, time series analysis, panel data analysis, logistic regression, and machine learning algorithms. Professional experience or deep interest in data analytics, artificial intelligence and data visualization tools/ techniques Problem solving skills to create solutions to potentially complex business challenges Candidate must be able to lead, multitask, thrive in a fast-paced environment managing multiple ad-hoc analytical requests and prioritize work accordingly. A strong academic background, with a minimum of a bachelors degree in a technical or quantitative field such as Statistics, Economics, Finance or Mathematics . JPMorgan welcomes candidates from all academic disciplines Preferred qualifications, capabilities, and skills Knowledge of regulatory modeling (CECL / CCAR /IFRS9) preferred. Proficiency in advanced analytical languages such as Python, R (Preferred) . Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As a Quant Modeling Associate Credit Risk in India, you will support critical statistical development projects and related analysis. Your role will involve developing, testing, and validating statistical models utilized to f orecast credit impairment for fixed income securities . You will utilize your advanced analytical skills to perform data extraction, sampling, and statistical analyses. You will also design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture is all about thinking outside the box, challenging the status quo and striving to be best-in-class. Job responsibilities Develop regulatory stress testing and reserve provisioning models, utilizing econometrics and financial mathematics Design and create platforms for smoothly integrating credit risk forecasting models to enhance performance and scalability while ensuring accuracy Conduct research and development prototypes to identify new ways of using technologies, enabling innovation and delivering products Solve unstructured business problems to deliver effective suite of solutions within a timebound manner Adapt agile practices to deliver product development analysis, build and implementation of next generation (AI) solutions to effective credit risk monitoring and review Collaborate across teams and geographies to leverage data, technology and platforms to build analytical tools, as well as to help design and build the next generation of intelligent solutions Embrace a control focused culture, develop strong understanding of business and credit risk to partner effectively with stakeholders Required qualifications, capabilities, and skills Proficiency in statistical modeling techniques, including multivariate regression, time series analysis, panel data analysis, logistic regression, and machine learning algorithms. Professional experience or deep interest in data analytics, artificial intelligence and data visualization tools/ techniques Problem solving skills to create solutions to potentially complex business challenges Candidate must be able to lead, multitask, thrive in a fast-paced environment managing multiple ad-hoc analytical requests and prioritize work accordingly. A strong academic background, with a minimum of a bachelors degree in a technical or quantitative field such as Statistics, Economics, Finance or Mathematics . JPMorgan welcomes candidates from all academic disciplines Preferred qualifications, capabilities, and skills Knowledge of regulatory modeling (CECL / CCAR /IFRS9) preferred. Proficiency in advanced analytical languages such as Python, R (Preferred)

A Position Overview Position Title Data Science Department TDABSG Level/ Band SM / AVP Role Summary : He or She will be responsible for advancing analytics opportunities in the BFSIsector, managing project delivery, people, and stakeholders. The ideal candidate will have a strong background in advanced analytics and experience in leading high-impact analytics solutions and programs with Indian clients. B Organizational Relationships Reports to AVP/VP Supervises NA C Job Dimensions Geographic Area Covered Pan India Stakeholders Internal TDA-BSG and all other TATA AIA internal departments External Partners D Key Result Areas Stakeholder Management Manage stakeholder interactions through regular updates and grow stakeholder engagement with channel partners. Design, plan, and scope projects with stakeholders. Explain project methodology and project approach to required stakeholders. Project Management and Training Manage end-to-end project deliverables, adhering to timelines, project budgets, and stakeholder expectations. Ensure adherence to Standard Operating Procedures and maintain updated relevant documents. Work with junior team members on projects and coach them on-the-job. Conduct in-house training based on team requirements. Delivery Provide high-end Analytics to channel partners to help them sharpen their business strategy by implementing analytical models. Manage the entire delivery process and be responsible for all aspects of a project to ensure high-quality standards. Understand business problems and address them to solve client problems. E Competencies ( Please copy paste from Competency Dictionary) Competency For Proficiency Scale Proficiency Scale Description Eg Business Acumen and Strategic Orientation Ability to align with the organizations vision with a fair understanding of the insurance industry, regulations, financial markets and the agency business model in order to deliver profitable and sustainable business growth. 3 Has an in-depth understanding of the market of operations and proposes changes if required as per market dynamics. Understands how and to what extent business complexities impacts ones own area of work. Is able to identify trends and analyze performance of self and various branches in ones geography. Has expert knowledge of BA model, BA compensation and Agent commission and progression and uses it to deliver superior performance. Is able to device plans to recruit, develop and sustain distributors on a long term basis with organization. Strives towards achieving proportionate business contribution from all the branches of assigned territory. G Skills Required Technical Data processing and data science libraries of Python (NumPy, Pandas, Scikit learn, etc. ). Experience and understanding of working with massive datasets locally/ distributed using tools such as Apache Spark, and familiarity with packages like Vaex, and Dask, and using these datasets to train and develop and train machine learning algorithms. Knowledge of analytical models such as promotion optimization, Natural Language Processing (NLP) including experience in (BERT and DisilBert Models), Cluster Analysis, Segmentation, Next best recommendation, Neural network models, Logistic Regression (Fraud Models, Lapsation etc), ANN based model, LSTM, Transformers, Attention Models, Bagging and boosting, Generative model, Experience with cloud-based analytics platforms, such as Azure, GCP, or AWS. Familiarity with automated training, deployment, and monitoring of models in production using ML-Ops pipelines. for handling channel partnerships with banks knowledge in banking variables and bureau data is preferred. Behavioral Essential Desired Interpersonal skills Communication skills Creative thinking skills Supervising/Leadership skills Teamwork Skills Influencing skills Relationship Building skills Decision making skills H Incumbent Characteristics Essential Desired Qualification 1. Graduate/Postgraduate degree from Tier-I/II colleges. 2. Ability to design and review new solution concepts and lead the delivery of high-impact analytics solutions and programs for global clients. 3. Strong understanding of statistical concepts. Experience 8-12 years of experience in advanced analytics.