8265 Data Scientist Jobs - Page 19

Our is Client is a largest Top 5 Software giant in India, with over 11.3 USD billion dollars revenue, Global work force 2,40,000 employees, It delivers end-to-end technology, consulting, and business process services to clients across the globe, Presence: 60+ countries and Publicly traded company NSE & BSE (India), NYSE (USA). Job title: Data Scientist Location: Bengalure Experience: 5+ Job Type: Full Time Notice Period: Immediate joiner Client: MNC Client Mandatory Skill :Python,Pandas, Key Responsibilities: Analyze large datasets to identify trends, patterns, and actionable insights. Build, train, and deploy machine learning and deep learning models. Develop scalable data pipelines for dat...

, India Job Family Group: Research and Development Worker Type: Regular Posting Start Date: December 2, 2025 Business Unit: Finance Experience Level: Experienced Professionals Job Description: Data Scientist (Short-term & Long-term MMM) Job Group Level: 5 Role Expectations: Overall 5+ years of experience in Data Science, Analytics, ML 3+ years of hands-on experience in Marketing Mix Modelling required (both ST & LT) Incumbent is responsible for developing analytical models for projects, collaborating with different business stakeholders & other partners and working across a range of technologies and tools. The primary focus will be on developing and maintaining short-term and long-term MMM m...

About client: A leading applied technology services company, we innovate to deliver service excellence and successful outcomes across sales, delivery and development. With our strategy to be agile, nimble and customer-centric, we anticipate the future of applied technology and predict tomorrow’s trends to keep our clients at the summit in an ever-changing marketplace. Leading with architecture and design, our next-gen solutions enable enterprises to accelerate on their digital transformation journey. Customer centricity is foundational to us and is reflected in the Mphasis’ Front2Back™ (F2B) transformation approach. F2B is a customer-in view approach that uses our industry-specific X2C2TM fr...

About Client : Our client is an AI-led, platform-driven company with human-in-the-loop intelligence, helping global enterprises modernize, infuse AI, and scale with agility. The unit and Mphasis AI-powered ‘Tribes’ are focused on client outcomes and embed artificial intelligence and autonomy into every layer of the enterprise technology and process stack. Built NeoIPTM, a breakthrough AI platform which orchestrates a powerful pack of AI platforms and solutions to deliver impactful outcomes across the entire enterprise IT value chain, because we believe 'AI Without Intelligence Is ArtificialTM' . NeoIPTM is powered by the Ontosphere, a dynamic and ever-evolving knowledge base, delivering cont...

About Client: Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and sp...

Job Title: Senior Data Scientist Experience: 8+ Years Location: Hyderabad – Onsite About the Role We are hiring an experienced Data Scientist with strong expertise in machine learning, statistical modeling, data engineering, and enterprise-scale analytics. You will build predictive models, generate insights, and collaborate with cross-functional teams to deliver high-impact data solutions. Key Responsibilities Build ML models using Python/R (scikit-learn, TensorFlow, PyTorch, NumPy, pandas). Perform exploratory data analysis (EDA), feature engineering, and model optimization. Develop dashboards using Power BI/Tableau and analytical visuals (Matplotlib/Seaborn). Create enterprise-grade SQL pi...

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description The Client Services Data & AI Solutions Team builds open, trust...

Strong proficiency in Python or R for data analysis and modeling. Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch, etc.). Solid understanding of statistics , hypothesis testing, and experimental design. Proficiency in SQL and experience working with relational databases. Familiarity with data visualization tools (Tableau, Power BI, matplotlib, seaborn). Strong analytical thinking and problem-solving abilities. Excellent communication and presentation skills.

About the Role We are looking for a highly analytical and detail-oriented Data Scientist to join our team. In this role, you will work closely with cross-functional teams to extract insights from complex datasets, build predictive models, and support data-driven decision making across the organization. Key Responsibilities Collect, clean, and preprocess large and diverse datasets. Build, validate, and deploy predictive and statistical models. Analyze datasets to uncover trends, patterns, and actionable insights. Develop dashboards, reports, and visualizations using BI tools. Collaborate with engineering, product, and business teams to understand requirements and translate them into data-driv...

Role Overview: As a Data Scientist / AI Specialist, you will play a crucial role in designing, building, and optimizing supervised, unsupervised, and deep learning models to address various business challenges. You will be responsible for exploring and engineering data, integrating AI solutions into production systems, collaborating with cross-functional teams, evaluating model performance, staying abreast of the latest AI/ML techniques, and proposing innovative applications. Key Responsibilities: - Design, build, and optimize supervised, unsupervised, and deep learning models for diverse business problems. - Clean, transform, and analyze structured and unstructured data to identify signific...

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description The Client Services Data & AI Solutions Tea...

As an Associate III - Data Science (Data Scientist with Python and R Expertise) at UST, you will have the opportunity to develop machine learning and statistical models to address various business needs. You will work with a diverse team to understand requirements and deliver data-driven solutions. Your role will involve implementing models using Python and relevant libraries, converting R code to Python efficiently, and optimizing existing R code for performance and scalability. Additionally, you will stay updated with the latest industry trends in data science and machine learning. Key Responsibilities: - Develop machine learning and statistical models for regression, classification, and t...

As a Data Scientist at the Mohali location, you will play a crucial role in the team by focusing on building and optimizing machine learning models for real-world applications. Your responsibilities will include: - Designing, developing, and evaluating both supervised and unsupervised machine learning models - Collaborating closely with data and product teams to deliver comprehensive ML solutions - Analyzing extensive datasets using Python and SQL to generate actionable insights - Continuously enhancing model performance using real-world data - Maintaining detailed documentation of models, experiments, and processes To excel in this position, you are required to have: - A Bachelors's or Mast...

As a Data Scientist with 4+ years of experience, your role will involve designing, developing, and deploying end-to-end ML and NLP solutions. You will be responsible for building RAG-based pipelines using vector stores and LLMs for real-world use cases, developing embedding pipelines using OpenAI, HuggingFace, SentenceTransformers, and more. Additionally, you will perform data cleaning, transformation, feature engineering, EDA, fine-tune foundational models, and apply few shot / in-context prompting techniques. Collaboration with Engineering and Product teams to translate business problems into AI solutions and contributing to MLOps workflows including model deployment, testing, and CI/CD wi...

As a Data and Analytics Engineer at PwC, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In the realm of data science and machine learning engineering at PwC, your primary focus will be on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex busi...

Role Overview: You will play a crucial role in working on cutting-edge innovation across various verticals such as retail, healthcare, gaming, and enterprise tech. Your primary responsibility will be to build, deploy, and optimize AI/ML models with a specific focus on Agentic AI and multi-agent coordination frameworks. You will utilize Google Cloud AI and Azure AI Services for scalable training, inference, and deployment, while also applying Computer Vision techniques for object detection, image classification, and spatial tracking in AR/VR contexts. Collaboration will be key in this role, as you will work closely with product, engineering, and design teams to bring AI-driven AR/VR applicati...

As a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering, your role will involve developing and implementing machine learning models, collaborating with various teams to create scalable AI-driven solutions, and utilizing Python and object-oriented programming to build efficient ML pipelines. You will work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. Additionally, you will integrate AI/ML models into applications via RESTful APIs, manage containerized services using Docker, and follow best practices in version control and software development lifecycles. You will also contribu...

, India Job Family Group: Research and Development Worker Type: Regular Posting Start Date: December 1, 2025 Business Unit: Finance Experience Level: Experienced Professionals Job Description: What’s the role The Commercial Data Science (CDS) team partners with Shell’s business units to deliver data-driven solutions through deep process understanding and technical excellence. As a Data Scientist within the Digital Process Twin (DPT) portfolio, you will apply process mining, optimization, and AI/ML techniques to process-centric data to identify inefficiencies, predict process behavior, and optimize end-to-end business performance. You will collaborate closely with engineers, architects, and f...

Title and Summary Senior Data Scientist, Product Data & AnalyticsSenior Data Scientist, Product Data & Analytics Our Vision:Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions by working closely with the business. We influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and so...

Job Summary We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures. This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms. Responsibilities Agentic AI Developmen...

Summary: At Thomson Reuters, our strategic vision is to build a world-class Data & Analytics company by fostering a data-driven culture across the organization. We are seeking a highly motivated Senior Data Scientist with strong organizational and technical skills to play a pivotal role in our data-driven journey. In this position, you will leverage predictive models, machine learning, and generative AI to deliver actionable business insights and drive informed decision-making. You will also mentor junior team members and collaborate with cross-functional teams to design and implement impactful data solutions. About The Role As a Senior Data Scientist, you will: Engage with stakeholders, bus...

Do you live and breathe data, keywords, and performance metrics? We are hiring an Amazon PPC Specialist who can turn data into growth. If you know how to make campaigns profitable, scalable, and performance-driven, this role is for you. About The Role As the PPC Specialist, you'll manage advertising strategy and execution across multiple e-commerce brands. You'll design, launch, and optimize Amazon Ads campaigns, ensuring top performance and ROI through daily checks, weekly optimizations, and insightful reporting. You'll typically handle multiple brands, each with its own goals, audiences, and challenges — making your impact both strategic and measurable. Requirements Key Responsibilities Pe...

Role & responsibilities Design and deploy intelligent, agent-driven systems that autonomously solve complex, real-world problems using cutting-edge algorithms and AI libraries. Engineer collaborative agentic frameworks that coordinate multiple specialized agents to deliver advanced AI capabilities for enterprise-scale applications. Build and extend MCP-based infrastructure that enables secure, context-rich interaction between agents and external tools, empowering AI systems to act, reason, and adapt in real-time. Build human-in-the-loop agent workflows where humans benefit from AI assistance in decision-making and automation, while agents learn and improve through continuous human feedback. ...

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorpora...

Role Summary We are seeking a Data Scientist (Consultant level) with expertise in AI and advanced analytics for the retail sector. The role involves developing AI/ML-driven solutions to optimize customer experience, sales forecasting, pricing, supply chain, and personalization strategies. The consultant will collaborate with global retail clients to identify opportunities, build predictive models, and deploy scalable solutions. Key Responsibilities Partner with retail clients to understand business challenges and identify AI/ML use cases. Design, develop, and implement machine learning models for demand forecasting, pricing optimization, recommendation systems, and customer segmentation. Wor...