1487 Data Scientist Jobs - Page 4

Role Overview We are seeking a highly skilled Data Scientist with 4 to 8 years of experience to join our dynamic team. The ideal candidate will leverage expertise in Python, SQL, NLP, Computer Vision, Machine Learning, and PySpark to develop and implement advanced data solutions that support our clients’ digital transformation journeys. You will collaborate closely with business stakeholders and technical teams to analyze complex data sets and deliver actionable insights. Key Responsibilities Design, develop, and deploy machine learning models and data-driven solutions for clients in the financial services sector. Apply NLP and computer vision techniques to extract insights from unstructured data sources. Write optimized SQL queries to extract and manipulate large datasets from relational databases. Build scalable data pipelines and workflows using PySpark for large-scale data processing. Collaborate with cross-functional teams to translate business requirements into analytical solutions. Conduct exploratory data analysis to identify trends, patterns, and opportunities for improvement. Communicate findings and recommendations effectively to both technical and non-technical stakeholders. Stay current with emerging technologies and methodologies in data science, NLP, computer vision, and big data. Mandatory Skills Strong programming skills in Python for data science and machine learning. Proficient in SQL for complex data extraction and manipulation. Hands-on experience with Natural Language Processing (NLP) techniques and tools. Practical knowledge of Computer Vision algorithms and frameworks. Expertise in Machine Learning model development, evaluation, and deployment. Experience working with PySpark for big data processing and ETL workflows. Experience with Generative AI (Gen-AI) including Large Language Models (LLMs) for text generation and understanding. Familiarity with Retrieval-Augmented Generation (RAG) architectures for enhancing LLM performance with external knowledge sources. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 4+ years of professional experience as a Data Scientist or in a similar role. Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a collaborative team in a fast-paced environment. About Company: Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capcoâs cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Our approach is tailor-made to fit with each clientâs problem with an emphasis on building long-term strategic partnerships that foster collaboration and trust. We have the people, the vision, and the passion. Capco is committed to providing clients with practical solutions. We offer a globally integrated service with offices in leading financial centers across the Americas, Europe and Asia Pacific.

Role: Junior Data Scientist Experience: 0 - 1 Year Qualification: BE / B.Tech, BSc, MCA with a minimum of 80% in academics Location: Chennai Employment: Full-time Note : Year of Passing - 2025 Good knowledge of Data Science concepts and Machine Learning modeling. Hands-on experience or Good knowledge of Python. Good Knowledge of writing complex SQL queries. Good to Have: Knowledge of any cloud platforms (Azure, GCP, AWS) Personal Skills: Good team player. Open to learning new and different technologies Excellent Analytical and Problem-Solving Skills. The ideal candidate should have good communication (written and oral)

Growexx is looking for a smart and passionate Data Scientist , who will empower Marketing, Product, and Sales teams to make strategic, data-driven decisions. Key Responsibilities Mine, process, and analyze web, product, sales, and digital marketing data at an event level. Utilize traditional machine learning techniques and language models (LLMs) to build great AI agents for different business needs. Assist in developing and optimizing LLM-driven solutions for tasks such as text summarization and basic customer support automation. Contribute to building and deploying predictive models and machine learning algorithms across customer profile and usage datasets. Support the deployment of machine learning models into production environments. Assist in designing and implementing basic model activation strategies and participating in A/B testing plans. Conduct evaluations of LLMs, focusing on basic performance metrics like accuracy and latency. Integrate LLM agents with APIs and assist in maintaining data models and improving taxonomy. Key Skills Hands on experience with LLM models and basic knowledge of evaluation metrics for LLMs. Knowledge of designing and deploying agentic systems. knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Exposure to machine learning techniques including supervised and unsupervised learning Proficiency in Python, SciKit, SQL, Jupyter Notebooks and understanding of cloud platforms for data science tasks. Basic understanding of data mining and statistical analysis techniques. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 1+ years as a Data Scientist or similar roles. Analytical and Personal skills Must have good logical reasoning and analytical skills. Good Communication skills in English – both written and verbal. Demonstrate Ownership and Accountability of their work. Attention to detail.

The Data Scientist III is a subject matter expert in data analytics and business analysis They perform analysis, design, development and optimization activities in support of data quality and data validation They also play a critical role in defining and creating the future state of data and analytics in the enterprise Team members are expected to build trust and relationships through effective communication with both technical and non technical partners within multiple departments to facilitate success A successful individual in this role is a leader who has and imparts business knowledge, data analytics and business analysis expertise related to the sources and uses of data for business analytics and decisioning

• Expertise in Data Science & AI/ML: 6-8 years’ experience designing, developing, and deploying scalable AI/ML solutions for Big Data. • Cloud Proficiency • Analytical & Communication Skills

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Global Supply Chain and Logisticsat Target is evolving at an incredible pace. We are constantly reimagining how we get the right product to the guests better, faster and more cost effectively than before across 1900 locations Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g. identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, Digital order Fulfillment planning, transportation resource planning, etc. As a Data Scientist in Digital fulfillment Planning space , you will have the opportunity to work with Product, Tech, and business partners to solve retail challenges at scale for our fulfillment network. Position Overview As a Senior Data Scientist at Target you will get an opportunity design,develop, deploy and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs.In this role as a Senior Data Scientist, you will: Develop a strong understanding of business and operational processes within Targets Supply chain. Develop an in-depth understanding of the various systems and processes that influence Digital order fulfillment speed & costs. Analyze large datasets for insights leading to business process improvements or solution development. Work with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving digital fulfillment network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Enhance and maintain simulation environment to enable testing/deploying new features for running custom, user defined scenarios through the simulator. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. Ensure your Target Career Profile is up to date before applying for a position. As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As aSenior Data Scientist at Target, you will get an opportunity design,develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Targets supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Must Haves: We are looking for candidates who meet the following criteria: Bachelors/Masters/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field. 3+ years of direct, hands-on experience building optimization models (e.g., linear, mixed-integer, network flow, or combinatorial). Strong proficiency in Python and Spark for developing and deploying optimization-based solutions. Solid understanding of operations research techniques and their application in real-world business problems . Demonstrated experience working on end-to-end solution delivery , preferably with production-grade implementation. Strong verbal and written communication skillsable to translate technical detail into business insight, and vice versa. Strong analytical thinking, data transformation, and problem-solving ability, especially under ambiguity. Team player with the ability to collaborate effectively across cross-functional, geographically distributed teams. Preferred Experience: Experience building large scale optimization models/ ability to build models with smart heuristic solutions Familiarity with supply chain or e-commerce fulfillment data and business processes. Experience working with large datasets. Experience deploying solutions at scale for business impact. Background in clean code practices, version control (Git), and collaborative development environments. Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Team Overview Target Data Sciences is offering an exciting opportunity to solve state of the art problems in AdTech . Targets Roundel group is emerging as one of the biggest RMN players in US ad-tech ecosystem. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals with deep AdTech science and engineering experience who can make a change in AdTech development. If you are that person, you can expect to be involved in: Defining, developing and integrating modules for algorithmic decision making with the ad serving tech platform Influencing roadmaps and driving its execution with a team of talented scientists Developing a multi-year vision of embedding science with adtech platform and collaborating with engineers and science team to bring it to life Example of Problem Statements How to maximize yield for advertisers and revenue for Target Technology and algorithms for real time algorithms on ad serving. Architecture to create a set of connected tech capabilities from media planning to media optimization and measurement. Expected skills Minimum 4 years of experience as a practitioner of AdTech Technical proficiency in algorithms, ad science, and engineering Strong collaborator and mentor Preferred domain experience : Creating tech led solutions in advertising, customer relevancy models, bidding strategy, click through rate modelling, etc. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics ) and 4+ years of professional experience or equivalent industry experience Masters degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills . Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive . Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As aSenior Data Scientist at Target, you will get an opportunity design,develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Targets supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Must Have: We are looking for candidates who combine rigorous machine learning skills with a decent grasp of optimization and applied math. You should have: Bachelors/Masters/PhD in Computer Science, Mathematics, Statistics, Operations Research, or a related quantitative discipline. 4+ years of experience working across ML and optimization domains , ideally in dynamic, real-world problem spaces. Strong coding skills in Python and experience working with Spark or distributed data frameworks. Hands-on experience with ML modeling pipelines , from data ingestion and feature engineering to model development, evaluation, and deployment. Knowledge of OR techniques (e.g., LP/MIP) and how to integrate them with ML systems. Strong problem-solving skills with a track record of delivering solutions to complex, ambiguous business problems. Ability to independently own and drive projects end-to-end in a collaborative environment. Excellent communication skillsboth technical and strategicacross engineering and business teams. Preferred Experience: Experience with MLOps frameworks and practices (e.g., model versioning, CI/CD for ML, monitoring). Exposure to supply chain, logistics, or fulfillment optimization problems. Experience working in a production-scale environment with high data volume and business-critical pipelines. Ability to build solution/ models that operate at low latency. Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII: At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid overview: A role with Target Techs Data Science team means the chance to develop and manage state of the art machine learning algorithms that use data at scale to automate and optimize decisions. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Stores, Supply Chain Optimization, and Network Planning rely on. Every Scientist on Targets Data Sciences team can expect modelling and data science, software/product development of highly performant code for performance, and to elevate Targets culture and apply retail domain knowledge. Team Overview: Our Stores Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Targets Stores, such as identifying optimal tasks prioritizing work and sequence work for our teams to meet the dynamic guest demands. The team leverage machine learning, operations research and simulation to help design the future of how our stores work. Position Overview: As aLead Data Scientist, youll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scope of your role by defining solutions and beginning to identify problems to solve. You will contribute to Data Sciences and Targets culture by modeling and contributing to the ways we work. There are several ways to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, and machine learning. We will look to you to own design and implementation of an algorithmic solution (e.g., predictions, optimization or simulations), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. Youll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. Youll evaluate trade-offs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. Youll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the teams products/models. Youll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, youll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. Well look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your teams work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, youll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIts always changing! Core responsibilities of this job are described within this job description.Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Masters degree in Quantitative disciplines (Science, Operations Research, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Department Overview The Design & Tools (D&T) team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design & innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customers expectations. In this role, you will fit in the AI & Architecture team within D&T. Job Description We are looking for a Senior Data Scientist who will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. In this role You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences. Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow. In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc. Responsibilities include: Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions. Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Leverage Python, PyTorch, NLTK etc. libraries and frameworks such as Langchain to build AI solutions. Training ML models to effectively communicate complex data insights through clear and informative visualizations Serves as thought leader in data science and applies deep expertise to drive novel customer experiences Adaptive and the desire to learn new technologies. Technical Experience Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL Knowledge and experience in Cloud Environments (Azure, AWS, GCP) Experience to read data from multiple sources and cleanse, enhance and analyze the data. Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs. Preferred Qualifications Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions Minimum 2+ years experience leading teams to deliver solutions and results Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations Knowledge of ServiceNow and Salesforce products and features Experience working with one of the leading public clouds (AWS, Google, Azure) Excellent written and oral communication skills. Be able to work under pressure Ability to Multitask, Prioritize and Manage time effectively. Strong interpersonal skills and ability to work effectively across teams, functional groups Basic Requirements Bachelors degree in Data Science, Computer Science, or an IT related field Minimum of 4+ years experience in a Data Science related role Travel Requirements None Relocation Provided None Position Type Experienced

ECMS Req # ECMS#527449,527448,527447 - AWS SageMaker ML and GEN AI Engineer Role Senior Lead Data Scientist Number of Openings 3 Duration of project 6-12 months(initial contract 3 months, later extended based on project) No of years experience 5+ years Detailed job description - Skill Set: The AWS SageMaker Engineer (Gen AI, LLMs, & NLP) will design, develop, and deploy advanced machine learning models, focusing on Generative AI, Large Language Models (LLMs), Agentic AI, traditional AI, and Natural Language Processing (NLP) using AWS SageMaker and AWS Bedrock. This role involves leveraging Python and deep learning frameworks to build scalable, intelligent systems for tasks like text generation, sentiment analysis, autonomous decision-making, and more, using models such as LLaMA or similar. The engineer will collaborate with data scientists, AI researchers, and DevOps teams to deliver production-ready AI solutions that align with business objectives. Key Responsibilities: Model Development: Build, train, and fine-tune Gen AI, LLMs, Agentic AI, and traditional AI models using AWS SageMaker and AWS Bedrock, including deep learning models for NLP tasks (e.g., text classification, entity recognition, summarization) and models like LLaMA. Fine-Tuning & Customization: Fine-tune pre-trained LLMs Experience: 4+years of experience in machine learning engineering, with expertise in Gen AI, LLMs, traditional AI, deep learning, and NLP. 6+ Hands-on experience with AWS Devops and AWS Bedrock for training, fine-tuning, and deploying AI models. Experience with open-source LLMs (e.g., LLaMA) or Bedrock-hosted models (e.g., Titan, Claude Experience with AWS Dev Ops, CI/CD integration. Kubernetes, Dockers Experience in Creating ML Flows using AWS Sagemaker Experience in using ML Models monitoring using clodwatch Experience in working with GEN AI, Langchain, Open AI Models and deployment of GEN AI models using AWS Sagemaker Experience in Deploying ML models using AWS sagemaker ML workflow orchestration and enabling CI/CD integration Experience with AWS services (e.g., S3, Lambda, Step Functions, Comprehend) and cloud architecture. Soft Skills: Strong problem-solving and analytical skills. Excellent communication to convey complex AI/NLP concepts to non-technical stakeholders. Ability to thrive in collaborative, fast-paced environments. Mandatory Skills AWS Sagemaker Professional with ML, NLP, GEN AI and Dev Ops experience. Vendor Billing range 8000-9000 per day depending on experience and interview performance. Work Location Bangalore, Hyderabad Hybrid Yes BGV Pre/Post onboarding Pre If its pre-onboarding, Interim or final BG report Final BG Report

Position Summary... About Team The Conversational AI team at Walmart builds and deploys core AI assistant experiences across Walmart. The team builds the core AI platform, which powers multiple conversational assistants for shopping, customer care and employee assistance across Walmart s US and International markets. With tens of millions of active users across multiple countries these are among the largest vertical AI assistant experiences in the industry. The team is part of a larger Emerging Tech org, which is focussed on utilising emerging technologies like Conversational AI, Extended Reality, Spatial awareness, etc to reimagine and build intuitive and immersive experiences for our customers, sellers and associates. We are looking for a Principal data scientist to lead the next evolution of the AI assistant platform by defining and building highly scalable Generative AI systems and infrastructure. This will be a hands-on technical leadership role which requires expertise at the intersection of machine learning, LLMs, ASR, large-scale distributed systems, and more. Our AI assistants are rapidly incorporating LLMs, agent-based architecture with custom fine-tuned models, and multiple data modalities. About Team The Conversational AI team at Walmart builds and deploys core AI assistant experiences across Walmart. The team builds the core AI platform , which powers multiple conversational assistants for shopping, customer care and employee assistan ce across Walmart s US and International markets . With tens of millions of active users across multiple countries these are among the largest vertical AI assistant experiences in the industry. The team is part of a larger Emerging Tech org , which is f ocused on utilizing emerging technologies like Conversational AI, Extended Realit y, Spatial awareness, etc. to reimagine and build intuitive and immersive experiences for our customers, sellers and associates. We are looking for a Principal data scientist to lead the next evolution of the AI assistant platform by defining and building highly scalable Generative AI systems and infrastructure. This will be a hands-on technical leadership role which requires expertise at the intersection of machine learning, LLMs, ASR , large-scale distributed systems, and more. Our AI assistants are rapidly incorporating LLMs , agent-based architecture with custom fine-tuned models , and multiple data modalities. What You Will Do In this role, as a principal data scien tist you will own the technical roadmap and architecture for multiple initiatives wit hin the Conversational AI platform. The responsibilities include: Partner with key business stakeholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and production AI s olution s . Translate business requirements into strategies, initiatives, and projects. Align these with business strategy and objectives . Drive the execution of the deliverables. Design, build, test and deploy cutting edge AI solutions at scale, impacting millions of customers worldwide. Lead multiple initiatives within the platform, with focus on efficiency , innovation, and leverage. Collaborate with the applied scientists, ML engineers, software engineers and product managers to develop next generation of AI assistant experiences. Be up-to date on industry trends in the latest G enerative AI , Speech processing and AI assistant architect ur e patterns ( e . g . agent chaining, COT, RAG, LLM guardrails etc) Provide technical leadership, guidance and mentorship to highly skilled and motivated data scientists in the team. Lead innovation and efficiency through the complete problem - solving cycle , from approach to methods to development and results. Partner and engage with associates in other regions for delivering the best services to customers around the globe . Proactively participate in the external community to strengthen Walmarts brand and gain insights into industry practices. Drive innovation in the charter and publish research in Rank A+ AI conferences like ICML, AAAI, NIPS, ACL, etc. What You Will Bring Masters with 12 + years or Ph.D. with 10 + years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or related area. Strong track record in a data science tech lead role (5+ years), with deployment of large-scale AI services. Extensive experience in the design, development, and delivery of AI products with a large customer base, preferably in c onversational AI, speech, vision or machine learning based systems. Strong experience in machine learning: Gen AI, NLP, Speech processing, Image processing, Classification models, regression models, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation & Gen-AI. Deep and demonstrated personal interest in generative AI space including awareness of latest architectural advancements in building generative AI applications. Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment. Deep experience in simultaneously leading multiple data science initiatives end to end - from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance . Thorough understanding of distributed technologies, public cloud technologies, scalable platforms, ML- platforms and Operational Excellence. Experience working with geographically distributed teams. Business acumen; combining technical vision with business insights. R esearch acumen ; with papers published in top tier AI conferences like AAAI, NIPS, ICML, KDD, etc. Strong Experience with big data platforms - Hadoop (Hive, Map Reduce, HQL, Scala) . Strong Experience in Python. About Walmart Global Tech . . Flexible, hybrid work . Benefits . Belonging . . Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years experience in an analytics related field. Option 3: 7 years experience in an analytics or related field. Preferred Qualifications... Primary Location...

Role & responsibilities 4+years of experience in machine learning, deep learning. Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery Python Experience Preferred candidate profile Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities

Title: Data Scientist Primary Location: Gurgaon(Onsite) Job Type: Contract Secondary Locations: Chennai / Pune / Bangalore / Noida Job Description Bachelor’s or Master’s Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. • Proficiency in Programming Languages such as Python, SQL, and other relevant languages. • Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. • Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. • Experience with Data Validation: Implementing AI-based validation techniques. • Familiarity with Code Conversion: Understanding AI algorithms for code conversion. • Experience with Databases like SQL Server and MongoDB. • Collaboration Skills: Ability to work effectively with cross-functional teams. • Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. • Attention to Detail: Ensure accuracy and reliability of data conversions. • 5+ Years of Relevant Experience in data science or a related field. • Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: • Experience in the Financial Services Industry and an understanding of compliance standards. • Certification in Data Science or AI/ML. • Experience with Master data management, Data Wrangling and ETL Processes. • Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. • Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. • Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation Thanks Aatmesh aatmesh.singh@ampstek.com

Flipkart is looking for Data Scientist - Operations Research to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

We enable #HumanFirstDigital look for a candidate with r and r Shiny experience, mandatory to be well versed with clinical data, CDISC etcSenior level associate with 8+ yrs of experienceSkills: R and R shiny programming experience is mandatory; SAS experience is optional , Python good to have, experience on at least 1 compete study is great add on. The candidate should be experienced in applying these skills in analysis and reporting of clinical trials and being able to reproduce statistical analysis using R.Data visualization, data wrangling using R will be important skills to have. Knowledge of R packages and their application, Data exploration using R - Shiny apps and application of statistical methodology / concepts will be a huge plus.Strong understanding of phases of clinical trials and the drug development process. Knowledge of / experience in late phase /RWE will be a huge help.Strong communication skills with ability to collaborate with different functions such as biostats, MW is must.Understanding of statistics concepts to analyse the data and converting stats need in programming outputs.Candidate with learning capabilities and self-driven.Clinical trial data understanding, experience on TFL generation, CDISC standards understanding is must.

Join our Team About this opportunity: Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. What Will You Do: Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML. Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed. Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists. Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI s needs Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc. To be successful in the role you must have: Total 6 - 9 yrs of experience with proven skills of implementing a variety of Machine Learning techniques. Solid programming skills (R/Python) with proficiency in at least one. Proven track record of leading AI/ML projects end-to-end with complete ownership. Experience in Generative AI, conversation Assistant systems. Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers. Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios. Able to build and deploy AI models into production with focus on scaling, monitoring and performance. Sound knowledge of building explainable models (XAI) and prescriptive analytics.

Join our Team About this opportunity We are now looking for a Senior Data Scientist to be responsible for developing AI/ML methods, processes, and systems to extract knowledge or insights to drive the future of artificial intelligence!! Provide data science tasks, perform advanced statistical analysis, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable!! What you will do Apply and/or develop statistical modeling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques. Synthesize problems into data question(s). Convert data into practical insights. Analyze and investigate data quality for identified data and communicate it Product Owner, Business Analyst, and other relevant stakeholders. Collect Data, explore it, and perform analysis to extract information suitable to the business need. Identify gaps in the data, aggregate data as per business need. Design & perform Data Analysis, Data Validation, Data Transformation, Feature Extraction. Decide approach for addressing business needs with Data & analytics. Understand end user needs and work accordingly with identifying new features in the data. Develop Data Science and Engineering Infrastructure &Tools. Derive key metrics suitable for the use-case and present the analysis to key stakeholder. You will bring 4-8 years of relevant Industry experience. A Bachelor s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines. Ability to analyse data and communicate outcome to key stakeholders exploring new data source Excellent coding skills in python, R, SQL etc. Understanding of cloud services. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimization, or related field A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding. Experience in large scale product development is a plus. Experience in Generative AI and Large Language Models Why join Ericsson? What happens once you apply? Primary country and city: India (IN) || Kolkata Req ID: 768998

Join our Team About this opportunity We are now looking for a Senior Data Scientist to be responsible for developing AI/ML methods, processes, and systems to extract knowledge or insights to drive the future of artificial intelligence!! Provide data science tasks, perform advanced statistical analysis, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable!! What you will do Apply and/or develop statistical modeling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques. Synthesize problems into data question(s). Convert data into practical insights. Analyze and investigate data quality for identified data and communicate it Product Owner, Business Analyst, and other relevant stakeholders. Collect Data, explore it, and perform analysis to extract information suitable to the business need. Identify gaps in the data, aggregate data as per business need. Design & perform Data Analysis, Data Validation, Data Transformation, Feature Extraction. Decide approach for addressing business needs with Data & analytics. Understand end user needs and work accordingly with identifying new features in the data. Develop Data Science and Engineering Infrastructure &Tools. Derive key metrics suitable for the use-case and present the analysis to key stakeholder. You will bring 5-10 years of relevant Industry experience. A Bachelor s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines. Ability to analyse data and communicate outcome to key stakeholders exploring new data source Excellent coding skills in python, R, SQL etc. Understanding of cloud services. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimization, or related field A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding. Experience in large scale product development is a plus. Experience in Generative AI and Large Language Models

About this opportunity: Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. What Will You Do: Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML. Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed. Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists. Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI s needs Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc. To be successful in the role you must have: Total 6 - 9 yrs of experience with proven skills of implementing a variety of Machine Learning techniques. Solid programming skills (R/Python) with proficiency in at least one. Proven track record of leading AI/ML projects end-to-end with complete ownership. Experience in Generative AI, conversation Assistant systems. Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers. Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios. Able to build and deploy AI models into production with focus on scaling, monitoring and performance. Sound knowledge of building explainable models (XAI) and prescriptive analytics.

: Kotak811 is a completely digital, in-your-phone, mobile bank. It was founded in 2016 to help India adapt, evolve, and eventually overcome the barrier of digital banking and make it accessible to all. Our sole aim is to bring you the excitement and ease of digital banking with the trust and reassurance of Kotak Mahindra Bank’s experience and legacy. Incubated by Kotak Mahindra Bank, Kotak811 is where innovation meets banking to offer the user the most seamless banking experience there has ever been. (Kotak 811 is a digital zero balance savings account that can be opened online by everyone (Indian residents only) which acts as a one-stop solution for all your financial needs and day to-day transactions.) Equal Employment OpportunityAll employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by the state, or local law. Kotak 811, is committed to providing equal employment opportunities RoleData Scientist 2 Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Should have knowledge in the regression and classification algorithm such as but not limited to Gradient Decent , Linear Regression , RandonForest , Support Vector Machine , K-nearest , Neural Networks DBSCAN , Principal Component Analysis , LDA and Autoencoders , Loss minimization function such as MSE , RMSE , Hinge Loss ect. We are seeking a data science or machine learning professional with strong expertise in both regression and classification algorithms. The ideal candidate should have hands-on experience with a wide range of techniques including, but not limited to: Supervised Learning Algorithms : Gradient Descent, Linear Regression, Random Forest, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and Neural Networks. Unsupervised Learning Techniques : DBSCAN, Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Autoencoders. Loss Functions and Optimization : Proficient in implementing and optimizing loss functions such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Hinge Loss for model performance improvement.

Role & responsibilities Key responsibilities: Analytics & Data Science Strategy Formulation & Execution : Participate in the conceptualization of AI & Data Science strategy, develop, execute and sustain; strive to build a practice and organization culture around same Manage & Enrich Big Data Work on Datawarehouse for sales, consumer data, manufacturing data and all the user attributes, think of ways to enrich data (both structured/unstructured) Engage with Data Engineering team on building/maintaining/enhancing Data Lake/Warehouse in MS Azure Databricks (Cloud) Data preparation, new attribute development, preparing Single View of consumers, Single View of Retailers/electricians etc Consumer Insights & Campaign Analysis - Drive adhoc analysis & regular insights from data to generate insights and drive campaign performance Build a Gen AI powered Consumer Insights Factory Support insights from consumer, loyalty, app, sales, transactional data Data mining/AI/ML to support upsell/cross-sell/retention/loyalty/engagement campaigns & target audience identification Purchase behavior/market basket analysis Predictive Analytics & Advanced Data Science - Build & maintain Predictive analytics AI/ML models for use cases in Consumer Domain, Consumer Experience (CX), Service, example: Product recommendations Likely to buy product or services (AMC) Lead scoring conversion Service Risk Scoring or Service Franchise/Technician performance score Likely to be a detractor or Likely to churn Market mix modelling Dashboarding: Build, manage, support various MIS/dashboards via Data Engineering/Visualization team Power BI dashboards & other visualization Adhoc dashboards Analytics & Data Science Other Domains SCM, Sales Op, Manufacturing, Marketing Support AI/ML models for Sales Transformation or SCM or Marketing Use Cases: Market Mix Modeling Retailer/Electrician loyalty program optimization Retailer/partner risk scoring or churn prediction Product placement & channel partner classification Improve forecast accuracy & Out of Stock prediction Gen AI Use Cases : Extensively leverage LLM Models, Agentic AI capabilities to solve business use cases : Chatbot for business users, data mining at fingertips, Chatbot for consumers, Service Voice Agent, Manufacturing use cases etc Deep data mining to support digital analytics, website behavior, app behavior analytics, call center/CS behavior, NPS, retailer & electrician loyalty etc Preferred candidate profile 7-14 years of direct experience in predictive analytics, decision science and AI in atleast two domains out of the following: consumer, sales operations, Supply chain, manufacturing, in any industry. Hands-on experience & knowledge of modern analytical tools, techniques & software (python, R, SQL, SPSS, SAS). Experience of building & leading team is a must.

Data Scientist Experience range: 3+ years Location: CloudLex Pune Office (In-person, Monday to Friday, 9:30 AM – 6:30 PM) Responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Required Skills & Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field analyticsvidhya.com (or equivalent practical experience). A strong foundation in algorithms, statistics, and software engineering is expected. Programming proficiency: Expert-level skills in Python coursera.org , with hands-on experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) analyticsvidhya.com . Comfortable writing production-quality code and using version control, testing, and code review workflows. Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models analyticsvidhya.com . Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) analyticsvidhya.comanalyticsvidhya.com . Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms gyliu513.medium.com . Knowledge of agent communication standards (e.g., MCP/Agent Protocol) gyliu513.medium.comblog.langchain.dev to enable interoperability between AI agents. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. Proficiency in retrieval-augmented generation (RAG) setups, vector databases, and prompt engineering analyticsvidhya.com . Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) for managing end-to-end automation and scalable workflows analyticsvidhya.com . Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices. Soft skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills to collaborate across data, engineering, and business teams. Attention to detail and a quality-oriented mindset. (See Ideal Candidate below for more on personal attributes.) Ideal Candidate Innovative, problem-solver: You are a creative thinker who enjoys tackling open-ended challenges. You have a solutions-oriented mindset and proactively experiment with new ideas and techniques analyticsvidhya.com . Systems thinker: You understand how different components (data, models, services) fit together in a large system. You can architect end-to-end AI solutions with attention to reliability, scalability, and integration points. Collaborative communicator: You work effectively in multidisciplinary teams. You are able to explain complex technical concepts to non-technical stakeholders and incorporate feedback. You value knowledge sharing and mentorship. Adaptable learner: The generative AI landscape evolves rapidly. You are passionate about staying current with the latest research and tools. You embrace continuous learning and are eager to upskill and try new libraries or platforms analyticsvidhya.com . Ethical and conscientious: You care about the real-world impact of AI systems. You take responsibility for the quality and fairness of models, and proactively address concerns like data privacy, bias, and security.

The Commodities Content team collects, manages, and supplies content of various asset classes like Metals, Oils, Agriculture, Power, Gas, Coal & Carbon. The individual will be accountable for delivering on key projects related to Business Cases, database and supporting Data Strategy teams and will contribute to the delivery of the content roadmap to fulfil the business requirements. The role of the Data Scientist is to: Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products. Essential Day-to-Day Responsibilities: Data handling, data processing and programming Develop automated solutions for sourcing/loading Commodities data into Database Analyse various formats of data from third part content to establish patterns/trends & validate and load data into database Develop, improve and run quantitative models Generate solutions through machine learning for core processes Work with business, content and product groups for large-scale analytics problems Build POCs, visualizations and pipeline tools for product design and development Work with development groups for deployment of analytics solutions Interact with other internal teams as needed, with supervision. Knowledge & Skills: Extensive experience using Python or R or equivalent Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter Solid relational database skills Solid understanding of statistics and statistical language such as R Ability to handle large quantities of data Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders Should have prior experience in this domain on delivering projects Qualification: Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification At LSEG, we believe that creating a diverse and inclusive organisation is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose – driving financial stability, empowering economies and enabling customers to create sustainable growth – in everything we do. Working with us means that you will be part of a dynamic organisation of 25,000 people across 70 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.