Top Data Scientist Jobs in Pune

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Lead the application of optimization techniques on large datasets, collaborate with engineering to deploy solutions, and manage project teams while contributing to data science capabilities and thought leadership.

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

Develop strategies for Insights and Analysis for clients, manage analytics engagements, communicate insights, and guide team development.

Deliver analysis aligned with client objectives, develop data science solutions, lead sales meetings, train teams, and build client relationships.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

The role involves developing advanced algorithms, applying statistical techniques, and collaborating with clients to analyze data trends and emerging technologies.

The role involves leading tech project management for theft detection initiatives, collaborating with executives, and coordinating cross-functional teams to ensure project success.

The role involves the proactive offer release for a Principal Solution Architect focusing on AI and Machine Learning.

Lead onboarding and activation strategies, enhance user experiences, drive conversion rates, run data-driven experiments, and mentor PM teams.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

The Proposal Leader drives strategy and governance for complex proposals, aligning solutions with client outcomes and improving win rates in ServiceNow consulting deals.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

The User Researcher will lead research projects from discovery to synthesis, using various methods to gain insights that improve products while collaborating with stakeholders.

Lead a team of engineers in developing financial services, collaborating with stakeholders to build effective systems, and fostering a culture of innovation and excellence.

The role involves developing data-driven strategies and managing client analytics, while leading team development and integrating datasets.

Lead client-facing data science engagements: design and deliver end-to-end ML/AI solutions, architect predictive models, oversee data preparation and deployment, mentor teams, and drive analytics strategy, innovation, and business development.

Engineer and deliver end-to-end data science and ML solutions: engage clients, translate business needs, develop predictive models and optimizations, perform data preparation and feature engineering, validate and deploy models to production, and present analytical findings to stakeholders using Python, R, big-data and cloud tools.

Design and implement scalable analytics and AI/ML solutions for enterprise applications. Lead data cleaning, modeling, validation, and MLOps collaboration; present insights and uphold data governance and ethical AI practices.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

The role involves designing data science solutions, mentoring team members, deploying models, and ensuring high-quality code. It requires strong analytical skills and the ability to communicate technical requirements effectively.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

The Principal Engineer, Data Science role involves leading projects in predictive modeling, optimization, and data solutions deployment. Responsibilities include translating client use cases into technical designs, guiding project architecture, and collaborating with cross-functional teams.