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Top Data Science Jobs in India
As a Data Scientist at Sun Life, you will analyze data, build statistical models, and implement machine learning solutions. You will collaborate with a team to develop insights that support the company’s financial services and enhance client outcomes.
As a Research Data Scientist, you will translate complex business problems into data science solutions using state-of-the-art AI algorithms. You will prototype solutions, apply machine learning techniques, conduct rigorous statistical measurements, and research new methodologies to aid dunnhumby's offerings.
As a Data Scientist at Funding Societies, you will design and develop machine learning models for credit scoring and risk assessment, analyze datasets for insights, and improve model infrastructure. Collaboration with the team to automate reports and workflows is key, along with creating actionable insights for business decisions.
The Principal/Lead Data Scientist will lead AI solution delivery, manage project teams, ensure quality and timeliness, and partner with sales for business development. The role requires strong proficiency in AI, machine learning, and team leadership, along with the ability to preprocess data and implement best practices in AI solutions.
The Lead Data Scientist will lead project teams to craft innovative analytics solutions, utilizing Machine Learning and Deep Learning. Responsibilities include designing sophisticated models, overseeing project delivery, mentoring team members in Python and AI, and collaborating with stakeholders to leverage data for business success.
As a Data Scientist in the Pricing Strategy team, you will develop dynamic pricing models, conduct predictive and prescriptive analysis, and collaborate with teams to inform pricing decisions aimed at revenue growth.
As a Data Scientist at Trexquant, you will analyze and parse large data sets, discover new data sources, and collaborate with teams to develop predictive machine learning models. You will also create data visualizations and research machine learning techniques to derive insights and identify patterns in data.
As a Staff Data Scientist at Branch, you will optimize ad display on Android by implementing data-driven strategies, improving machine learning models, and analyzing user behavior. You'll collaborate with cross-functional teams and support the deployment of scalable solutions while mentoring junior data scientists.
The Data Scientist will collaborate with teams to define project scopes, design and deploy machine learning models, and perform exploratory data analysis. Responsibilities include applying statistical techniques, implementing data products, and communicating insights to stakeholders while staying informed on data science advancements.
The Senior Data Scientist is responsible for driving data strategy by leveraging advanced analytics, leading projects in Machine Learning and Generative AI, collecting and preprocessing data, performing statistical analysis, collaborating with engineering teams, and mentoring junior scientists to provide actionable insights that drive business value.
As a Staff Data Scientist at Innovaccer, you will design and develop AI initiatives to enhance patient health, work with stakeholders to create large-scale solutions, and productize machine-learning algorithms. Responsibilities include building analytical models, integrating data science capabilities into products, and defining quarterly roadmaps for innovation.
As a Principal Data Scientist at Target, you will design, implement, and optimize machine learning solutions for personalized customer offers and conduct training sessions. You will also guide team members, work closely with various stakeholders, and stay updated on AI advancements.
The Data Scientist at PayPal will develop and optimize AI-driven forecasting and scheduling models to enhance workforce planning. The role involves data analysis, operational improvement, and collaboration with technology and product teams to implement solutions that improve customer experiences.
As a Principal Data Scientist, you will lead a team to develop and implement innovative AI and ML solutions that improve catalog content and derive insights across various retail divisions, collaborating with multiple teams to align strategies and support project goals by synthesizing data into comprehensive analytics datasets.
As a Staff Data Scientist, responsibilities include mentoring peers, consulting on algorithm-based recommendations, designing AI/ML models, developing scalable solutions, integrating data science into business processes, and engaging with external partners and academic institutions. The role also involves publishing research and speaking at conferences.
As a Data Scientist on the Digital Data Team at Sanofi, you will apply advanced techniques in machine learning and generative AI to derive insights from diverse data sources. You will work within an Agile team to develop production-quality software and scalable data pipelines, while tracking model performance and collaborating with peers to enhance data science practices across the organization.
The Data Scientist II at Mastercard will manipulate large datasets, apply statistical and machine learning techniques to draw insights, design and implement machine learning models for financial applications, improve model performance, and effectively communicate findings to stakeholders.
The Data Scientist will work with the P2P Analytics team to provide valuable insights through data analysis, support product launches, and monitor product performance. Responsibilities include conducting deep analysis, generating reports, and driving data-driven decision making to enhance customer experiences.
The Data Scientist will work with business stakeholders to enhance products and operations through data-driven decisions. Responsibilities include defining metrics, conducting statistical and opportunity analyses, and presenting insights to leadership using effective visualizations.
As a Data Scientist II, you will provide data science solutions for business problems, collaborate with product and engineering teams, conduct exploratory data analysis, and build dashboards for project performance metrics.
The Lead Data Scientist at Mastercard will manage and analyze large datasets, applying technical and statistical techniques to extract insights. They will develop data models and analytic solutions, communicate with clients, and support machine learning initiatives. This role requires expertise in SQL, predictive analytics, and complex data analyses.
Lead a team of data scientists to extract hidden insights from data using machine learning. Responsibilities include optimizing classification and recommendation models, automating data scoring, enhancing data collection, and performing statistical analysis for decision-making.
The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.
The Senior Data Scientist at Zuora will leverage the latest AI technologies to transform monetization strategies. Responsibilities include identifying significant customer problems, conducting market research, building ML models, and collaborating with various teams to deliver value-driven solutions.
The Data Scientist will analyze large-scale data, apply statistical modeling and machine learning techniques, and collaborate on data research projects. Responsibilities include data cleaning, quality assessment, solution delivery, reporting, and developing applications. A healthcare or life science background is advantageous, and the role requires strong SQL and R skills.
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