Top Data Science Jobs in Bengaluru, KA
Analytical Wizards is looking for a Data Scientist/Senior Data Scientist to work on projects involving advanced analytics, data handling, and solution workbenches. Responsibilities include prescription and claims-based reporting, customer engagement, and mentoring junior analysts. Required skills include Python, Excel, SQL, and knowledge of Pharma datasets.
Looking for a junior Data Science developer proficient in Python, R, Excel, and SQL to build Analytics for Data Science applications. Responsibilities include developing and implementing Data Science product components and troubleshooting application codes.
The Lead Data Scientist at Freshworks will identify critical business problems solvable through Machine Learning, apply statistical and algorithmic skills, and design scalable systems while collaborating with product and business teams. Responsibilities include defining target metrics and using advanced mathematics with Big Data for effective solutions.
Freshworks is seeking a Lead Data Scientist with expertise in Natural Language Processing (NLP) and advanced AI techniques to drive the development of cutting-edge solutions involving retrieval-augmented generation, large language models, and agentic AI for the innovative bots platform.
Senior Data Scientist Associate role at JPMorgan Chase focusing on Artificial Intelligence and Machine Learning solutions within the Asset and Wealth Management Technology team. Responsibilities include designing and managing prompt-based models for NLP tasks in the financial services domain, collaborating with cross-functional teams, and analyzing model performance for improvement.
The Lead Data Scientist will focus on GenAI applications in employee engagement, leading projects to create innovative AI solutions, define key performance metrics, and collaborate with product teams. Responsibilities include designing intelligent systems, processing large data volumes, and managing end-to-end ML pipelines.
As the Manager of Applied AI engineering team at Freshworks, drive the application of AI across products, lead a team of data scientists and machine learning engineers, clarify AI philosophy to stakeholders, improve engineering best practices, innovate with cutting-edge technologies, and deliver compelling products to market.
The Senior Data Scientist applies data science principles to complex problems, offering innovative solutions through research and collaboration. Responsible for exploring, refining, and deploying data science solutions while leading key projects that significantly impact the business.
Featured Jobs
Join Novo Nordisk as an Advanced Data Scientist in the Finance Global Business Services department. Design and deploy machine learning models, monitor performance, write efficient code, leverage big datasets, and share insights with stakeholders. Minimum 5-6 years of experience with advanced analytics and expertise in Python, R, Databricks, Snowflake, and Power BI required.
Senior Associate role in the Distribution and Geospatial Data Science team within CB Decision Sciences at JPMorgan Chase & Co. Responsible for Model Governance, code execution, performance monitoring, quality checks, documentation, code hardening, and automation. Required experience in Model Controls/Governance/Validation/MRGR, data analysis using Python & Pyspark, querying data from databases and Hadoop platforms, project management, stakeholder management, and developing data science models. Preferred understanding of spatial data science, financial services background, and expertise in fraud/risk analytics and bank operations. Bachelor's degree in a quantitative discipline required.
The Data Modeler will be responsible for data modelling and architecture, translating business requirements into functional specifications, and understanding data structures and SQL. They will also leverage cloud technologies for data-related services.
As a Data Modeler at Takeda, you will support the company's Vision and Data strategy by developing and evolving data models for analytics and operational systems. Responsibilities include creating data models, integrating data from various sources, optimizing performance, collaborating with stakeholders, and ensuring data accuracy and compliance.
The Senior Manager - Data Science will lead data science initiatives at Razorpay, working collaboratively with engineers and product managers to develop advanced analytical models. The role includes mentoring junior team members, analyzing complex datasets, and driving strategic recommendations for business decisions.
Join the Data Scientist Analyst team at JPMorgan Chase to leverage data-driven techniques in converting data into meaningful insights for the wealth management business. Responsibilities include analyzing advisor performance, predicting financial needs, optimizing staffing, and leveraging data analytics for sales performance optimization. Required qualifications include a Bachelor's/Master's degree in a quantitative field with 5-9 years of data science experience, expertise in SAS/Python programming, and strong database skills.
Looking for a Sr. Data Engineer proficient in SQL, Python, Snowflake, and Data Modelling to work with different business functions supporting reporting and ad hoc requests. Will collaborate with cross-functional teams, ensure data quality, and optimize data pipelines for performance.
The Senior Data Scientist at Visa will lead data science projects, manage analytics engagements, and develop solutions using innovative techniques to provide actionable insights for clients. Collaborating with cross-functional teams, they will enhance analytics methodologies and coach partners on best practices.
Magna Global IT is seeking a talented Data Scientist to support manufacturing divisions in applying industry-leading analytical methodologies for predictive quality, preventive maintenance, demand forecasting, and Smart Factory initiatives. The ideal candidate thrives in an entrepreneurial environment, is a strong problem-solver, and effectively communicates insights to both technical and non-technical audiences.
Demonstrates full use and application of data science principles, methods, and concepts. Provides solutions to difficult problems through data science research. Identifies novel approaches to data science solutions. Contributes to refining and deploying data science solutions.
Senior Data Scientist role focused on building scalable data products and providing customer experience insights. Utilizing diverse data sources, Generative AI models, and collaborating on innovative data science projects. Mentoring junior data scientists and contributing to the development of core data capabilities at Vista.
Design and implement data architecture, develop AI solutions, ensure data governance, collaborate with stakeholders, evaluate technology, mentor technical teams, and document data pipeline and infrastructure design. Bachelor's or Master's degree in Computer Science or related field, strong programming skills, expertise in data management and AI, cloud platforms experience, and strong analytical and communication skills required.
Design, develop, and maintain scalable data pipelines, collaborate with analytics and business teams, research data acquisition opportunities, and provide technical consulting for data projects.
As a Data Scientist Senior Manager at CommBank, you will lead a team in designing, developing, and deploying AI models in Retail Banking. You will mentor data scientists, collaborate with stakeholders, and drive AI capability uplift across the group.
Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments. Makes significant contributions to the exploration, refinement, and deployment of data science solutions.
The Data Science Specialist at Hewlett Packard Enterprise formulates and defines analytics solutions, builds and enhances analytic models, collaborates with developers to embed models, and communicates insights to stakeholders. The role requires advanced knowledge of data science methodologies, analytics software, machine learning, and strong communication skills.
Atlassian is hiring a Principle Data Engineer to enable a world-class engineering practice, drive data approaches, develop backend systems, and build a data-driven culture. Responsibilities include designing data models, building scalable data pipelines, and working with various data platforms and tools.
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