Top Data Scientist Jobs in Pune, MH
Supporting the development of credit risk management and business intelligence analytic solutions through consulting engagements and research for TransUnion's clients.
Build and lead a team to develop AI/ML solutions for HR product areas, drive internal development, leverage vendor solutions, ensure conformance with controls and procedures, and partner with Workforce Technology to implement data and analytics systems.
Manager, Data Science role at TransUnion SSPL India, leading global information and insights company. Responsibilities include model development on tabular data, working with credit and public record data, and collaborating with cross-border data scientists.
Develop and apply advanced statistical and ML models to solve business problems, analyze large datasets, create custom analyses, communicate results, build client relationships, guide new joiners, and improve firm capabilities. Requires strong problem-solving skills, Python and R coding skills, Excel and PowerPoint proficiency, data science knowledge, experience in data-driven consulting/pharma firms, global delivery model experience, and engineering degree with 2-4 years of experience.
Seeking an experienced Recruiter to join the Talent acquisition team at Tiger Analytics, an advanced analytics consulting firm. Responsibilities include end-to-end recruitment processes, candidate relationship management, collaboration with hiring managers, job posting and advertisement, interviewing and evaluation, and data management. Requirements include 4+ years of in-house or consulting recruitment experience, experience in hiring data analytics-related roles, knowledge of Europe/UK hiring, and strong communication skills.
Join Atlassian as a Data Engineer in a world-class team to influence product and business decisions, work on data strategy and insights, and ensure data quality and governance. Requires 2+ years of experience in Data Engineering, expertise in Python and SQL, and knowledge of ETL and data modeling.
The Data Science & Analytics Engagement Lead is responsible for driving the adoption and value of data and analytic solutions, initiating new solutions based on business needs, and prototyping ad-hoc analysis. They collaborate with business units to align data and analytics strategies with business goals, evangelize AI product adoption, and mentor junior data scientists. Key responsibilities include developing statistical models, analyzing large datasets, conducting predictive analytics, and integrating data science solutions with existing systems.
Lead a team of data scientists to leverage advanced analytics, machine learning, and generative AI techniques to extract insights from complex datasets. Translate insights into actionable strategies to optimize drug discovery, clinical development, and commercial delivery. Collaborate with cross-functional teams and communicate insights effectively to technical and non-technical audiences.
Featured Jobs
Work as a Data Engineer for the Data Engineering team at CrowdStrike, designing and building services for machine learning products, building automation tools, maintaining data systems, and collaborating with different teams to contribute to machine learning data.
Seeking a visionary leader to drive AI initiatives and transform the future of the organization. Responsibilities include leading a team of AI architects and data scientists, developing and executing AI strategy, building AI solutions, driving AI innovation, building partnerships, championing AI adoption, and measuring impact. Requires advanced degree in relevant field and extensive experience in AI research and development.
The Data Engineer II at Cencora is responsible for ensuring accurate and pertinent data for the Legal and Compliance departments. This role involves data extraction and analysis, development of analytics models, and addressing business challenges to uncover insights.
Lead Data Science Engineer responsible for managing AI models, data analysis, data pipelines, and architecture design. Collaborate with cross-functional teams and present solutions to executives. Requires 5+ years of experience in Data Science, expertise in Python and Azure data platform.
Seeking a talented Data Scientist to design and implement predictive models, analyze complex datasets, and improve business processes through data insights. Responsibilities include statistical analyses, running SQL queries, and maintaining data infrastructure. Must have expertise in data science programming languages, statistical models, and machine learning algorithms.
Working at Blue Altair means being part of a vibrant, dynamic team driving digital change. No matter the role you fill, you'll contribute to the digital future and make a difference.
HiLabs is looking for a Lead/Senior Data Scientist who will lead the application of emerging technologies in healthcare, focusing on AI/ML solutions. Responsibilities include developing data pipelines, leading a team, and strategizing AI solutions for healthcare problems.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
Seeking a Senior Data Scientist to work on next-generation Security Analytics products, responsible for prototyping, designing, developing, and supporting a highly scalable SaaS-based Security Analytics product. The ideal candidate will have strong experience in data mining, machine learning, and data analysis methods, and the ability to drive product growth using analytics.
Senior Data Scientist specializing in designing and developing cutting-edge AI/ML solutions within the Capital Markets AI/ML CoE team at FIS. Responsible for formulating business problems as machine learning problems, model evaluation, and interpretability. Proficient in Python with expertise in GenAI, application development, and cloud platforms. Bachelor's degree in engineering or related field with qualifications in Data Science or Statistics. Strong communication and team skills with innovative thinking and problem-solving abilities.
Seeking a passionate Specialist Data Scientist with 4-6 years of experience in the software industry to lead and mentor a growing data science team. Responsibilities include developing and implementing innovative machine learning models in the financial crime, risk, and compliance domains.
Design, develop, and maintain data catalogs, lineages, and glossaries within Alation. Collaborate with data engineers and stakeholders to ensure data quality and consistency. Troubleshoot Alation issues, enforce data governance best practices, and automate data ingestion. Provide user training and optimize user experience within Alation. Full-time position based in Pune/Coimbatore office.
Aryng is seeking a seasoned data scientist analyst with 80% analytics and 20% data science work, along with client account management. The role requires strong decision science skills, communication, stakeholder management, and statistical knowledge.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
Seeking a Senior Data Scientist with 7-9 years of experience to develop cutting-edge ML solutions for pricing and recommendations. Must have expertise in Python, SQL, ML techniques, and industry-standard recommender systems and pricing models.
Lead the design and implementation of sophisticated models using Machine Learning and Deep Learning techniques, oversee the delivery of data science projects, mentor and develop team members, collaborate with stakeholders to drive business solutions, proficient in Python and knowledgeable in BI, Snowflake, and Snowpark.
Seeking bright and resourceful individuals for the Data team at AlphaGrep, a quantitative trading and investment firm in Mumbai. Responsibilities include building infrastructure tools, optimizing data delivery, coordinating with global teams, and writing efficient code. Required skills include Python and SQL knowledge. Good to have experience with web crawling, Linux environment, and stock market data.
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