32 Data Science Jobs

JD: Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment 1) More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. 2) Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks ...

Role: Data Scientist Exp: 6+ years Location: Bangalore Tech stack: Python, Jenkins, Azure ML, AWS SageMaker, GCP Vertex AI Responsibilities: Develop and deploy predictive and prescriptive models to solve business problems using statistical and machine learning techniques. Analyze large and complex datasets to extract actionable insights and support data-driven decision-making. Design, train, validate, and optimize machine learning models for classification, regression, clustering, and forecasting tasks. Build and maintain scalable ML pipelines for model training, evaluation, and deployment in production environments. Collaborate with cross-functional teams to define use cases, gather data re...

As a Manager at Global Data Insights and Analytics (GDI&A) at Ford Motor Company, you will be responsible for leading and mentoring a multi-skilled product team consisting of data scientists, machine learning engineers, product designers, and software engineers. Your role will involve guiding the team through the entire lifecycle of complex analytical and AI/ML data science products, with a focus on driving value and transforming Ford Motor Company through evidence-based decision making. **Key Responsibilities:** - **Technical Leadership:** - Provide expert technical guidance and mentorship to data scientists & software engineers. - Contribute to code reviews, design discussions, algorithm s...

Skill required: Data Scientist - Data Science Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song?? all powered by the world??s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countri...

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. **Role Overview:** The AI team at EY GDS caters to clients globally through EYs partner firms. As a Risk Analytics Lead, you will manage multiple Data Science engagements, interact with clients and EY stakeholders, and bring innovative ideas, methodologies, and techniques to the team. You should excel in developing high-performing individuals a...

Role Overview: As an Associate in the Data and Analytics services at PwC, you will have the opportunity to assist organizations in uncovering enterprise insights and driving business results through smarter data analytics. The focus will be on various organizational technology capabilities such as business intelligence, data management, and data assurance to aid clients in driving innovation, growth, and change within their organizations to adapt to evolving customer and technology landscapes. By leveraging a combination of human expertise and technology, you will play a key role in making impactful decisions, understanding risks, and helping clients gain a competitive edge. Key Responsibili...

As a Data Engineer / Manager / Executive at Sportrid Limited, a leading company in the None industry, you will play a crucial role in analyzing and organizing raw data to identify patterns, trends, and insights. Your responsibilities will include: - Building and maintaining data systems and pipelines to ensure the efficient flow and storage of data - Evaluating business needs and objectives to develop data solutions that meet strategic goals - Conducting complex data analysis and generating detailed reports on findings - Preparing data for prescriptive and predictive modeling using advanced statistical techniques and algorithms - Combining data from various sources to create comprehensive da...

As an AI Engineer at our company, you will have the exciting opportunity to work with cutting-edge technologies in data science, machine learning, and deep learning. Your role will involve building and deploying new AI products from the ground up, contributing to the development of our AI strategy, and defining the problems we aim to solve with AI. To succeed in this role, you must become an expert in building AI models and implementing them into production. **Responsibilities:** - Set up and manage the AI development and production infrastructure. - Collaborate with AI product managers and business stakeholders to explain the potential and limitations of AI for new product planning. - Devel...

Job Description: You will be responsible for leading strategic data science initiatives and delivering advanced AI/ML solutions for complex business challenges. Your role will involve managing end-to-end projects, mentoring teams, and collaborating with stakeholders to ensure impactful outcomes. Key Responsibilities: - Lead strategic data science initiatives - Deliver advanced AI/ML solutions for complex business challenges - Manage end-to-end projects - Mentor teams - Collaborate with stakeholders to ensure impactful outcomes Qualifications Required: - Experience in data science - Strong background in AI/ML - Excellent project management skills Job Description: You will be responsible for l...

Role Overview: As the Director, Lending Fraud Risk Analytics, you will play a crucial role in driving the fraud risk strategy within the lending domain. Your responsibilities will involve leveraging your expertise in analytics and fraud risk management to identify emerging fraud trends, provide insights for risk mitigation, and ensure the implementation of fraud risk management infrastructure. You will collaborate with various stakeholders to align investigations with broader fraud strategies and support businesses in minimizing fraud losses while adhering to customer charter goals. Key Responsibilities: - Utilize strong MIS and analytical skills to provide feedback on the effectiveness of f...

As a Program Manager and Scrum Master at INNIQ, a world-leading consumer intelligence company, you will play a crucial role in developing project management processes and practices. Your responsibilities will include interacting with key team members to deliver projects, supporting agile teams through various ceremonies, and ensuring projects align with business objectives. You will guide teams on Agile/Scrum practices, facilitate self-organization, assess team maturity, and assist in decision-making and conflict resolution. Key Responsibilities: - Guide teams on Agile/Scrum practices to meet customer expectations - Assist in self-organization and filling intentional gaps in frameworks - Ass...

As a Product Owner in the Human Health Insights, Analytics and Data (HHIAD) organization at our Company, you will play a vital role in shaping the strategy, overseeing delivery execution, and ensuring value realization of data platform features and data products. Your responsibilities will include translating problems, needs, and opportunities into the product vision and roadmap, conducting stakeholder meetings to shape and evolve the product vision, leading the design and delivery of data platform features, managing release scoping, and ensuring customer expectations are met optimally. You will work closely with various teams to deliver impactful capabilities that enable data-driven decisio...

Role Overview: As the Lead Data Scientist at Aventior, you will play a crucial role in driving data-driven decision-making and advancing the organization's AI and analytical capabilities. You will be responsible for leading a team of Data Scientists, AI Engineers, and Data Analysts, collaborating with cross-functional teams, and contributing to the development and implementation of AI and advanced analytics solutions. Your role will involve leading, inspiring, and mentoring the AI and Data Science team to foster a collaborative and innovative work environment. Additionally, you will conduct regular performance assessments and contribute to professional development plans. Key Responsibilities...

As a Data Science Senior Analyst in this role, you will be required to apply your in-depth disciplinary knowledge to contribute to the development of new techniques and processes. Your responsibilities will include: - Conducting strategic data analysis to identify insights, implications, and make strategic recommendations - Developing data displays that clearly communicate complex analysis - Mining and analyzing data from various banking platforms to drive optimization and improve data quality - Building machine learning models (Random Forest, LightGBM, etc.) across multiple use cases - Performing exploratory data analysis to support hypotheses and applying different feature engineering and ...

What you will do Support analytics and predictive modeling projects across Data Science & Measurement and Investment Analytics teams. Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy. Maintain and operationalize dashboards or reusable code assets in Databricks or Python/SQL environments. Contribute to project delivery by partnering with senior data scientists and leads on model building, testing, and result summaries. Drive documentation, version control, and deployment practices using standardized platforms and tools. Stay curious continuously learn about methods such as marketing mix modeling, predictive modeling, A/B testing, ...

Responsibilities Translate business requests into data requirements, extract the required structured and unstructured data and prepare large-scale datasets for modelling Identify high-value use cases through data exploration and visualization Develop AI applications using state-of-the-art (Gen)AI technology Come up with concrete prototypes (MVP) to demonstrate their value to the customer Deploy prototypes to production, with support of Tech enabler team & IT, to obtain reliable, scalable systems Present your results in a clear manner and discuss them with multi-functional project teams Work in close collaboration with business experts (e.g. for requirement gathering, data source identificati...

Role Overview: You will be part of Crunchyroll's growing AI/ML team, contributing to the development and deployment of ML solutions to support millions of anime fans worldwide. As a key member, you will lead and mentor a team of data scientists, define AI/ML initiatives, establish best practices, collaborate with various teams, and ensure responsible AI/ML development. Key Responsibilities: - Lead and mentor a team of data scientists focused on developing and deploying ML solutions such as GNNs, LLM-based applications, and fraud detection models. - Define and drive the roadmap for AI/ML initiatives across Crunchyrolls product and platform ecosystem. - Guide the development of robust ML pipel...

As a Product Manager within the Machine Learning & intelligent ops team at JPMorgan Chase, you will play a crucial role in defining and executing the product roadmap for AI-driven solutions. Your responsibilities will include collaborating with cross-functional teams to deliver scalable knowledge content and services tailored to various user personas and channels. By leveraging different Data Science and AI capabilities, you will lead the team in building solutions that drive transformation and enhance customer engagement. **Key Responsibilities:** - Lead and groom a team of analysts to achieve the OKRs of the Area Product by identifying opportunities for Data Science/Analytics - Provide tec...

Education: Master??s degree or equivalent in Finance, Business, Data Science, Business Analytics, Statistics, Economics, such as MBA / PGDBM / CFA / CA Financial Modelling Manager with 8-10 years of experience in leading a team of at least 4-5 people in financial modeling, data transformation & visualization projects. Key responsibilities Lead Financial / business planning, Pricing, feasibility studies, cost modelling and working capital analysis projects Gather client requirements and be able to create data pipelines, and workflows in Alteryx to support customized reporting needs Design, develop and deploy dashboards using Power BI Desktop and Service using advanced DAX formulas and be able...

AIA Hyd drive Role : Data Scientist AIML Experience : 4 to 13 Years Relevant Experience : 2+ Years Location : Pan India Notice Period : Immediate to 60 days Mode of Interview - In-Person (29th November 2025) Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data...

Job Description Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Data Science Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will in...

As a Data/Analytics Engineer at Salesforce, you will be responsible for supporting the Finance Data Office team in scaling the organization with its incredible growth. Your role will involve working across all Finance functions, driving cross-functional process improvement, and scaling to support various departments such as F&S, RevOps, and more. You will play a crucial role in managing data pipelines that feed daily operational reporting companywide, monthly Finance close, and quarterly earnings for Investor Relations. **Key Responsibilities:** - Migrate Alteryx workflows to other data engineering tools such as dbt, Informatica, and Python - Handle and manipulate large data sets using Sales...

As a Consultant at Capgemini Invent, your role will involve engaging in project activities related to the Information lifecycle. You will work on tasks such as building and managing Business data lakes, ingesting data streams, developing machine learning models, visualizing data, and empowering Information consumers with agile Data Models. Additionally, you will specialize in Business Models and architectures across various Industry verticals. Key Responsibilities: - Engage in project activities related to the Information lifecycle - Build and manage Business data lakes and ingest data streams - Develop machine learning and predictive models for data analysis - Visualize data and empower Inf...

Role Overview: As a Data Analytics Sr Lead Analyst, you will be a strategic professional closely following the latest trends in data analytics and applying them within your role and the business. You will be part of a select group providing a high level of expertise, requiring excellent communication skills to negotiate internally and guide colleagues from different areas. Your responsibilities will include adapting trends in Data Science, Data Mining, and Big Data for strategic data analysis, making recommendations, and developing data displays. Key Responsibilities: - Serve as the subject matter expert for strategic data analysis, identifying insights and implications - Make strategic reco...

Responsibilities 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and...