Top Data Science Jobs in India

The Senior Solutions Architect will provide technical leadership, consult on Big Data architectures, and develop solutions using Databricks Lakehouse Platform, while partnering with sales and engineering.

As a Staff Applied Scientist, you will design and deploy machine learning models, develop AI agents, and enhance user experiences through intelligent systems architecture and collaboration with various teams.

As a Senior Applied Scientist, you'll develop AI/ML models, enhance customer experiences, and optimize decision-making processes through intelligent systems in collaboration with cross-functional teams.

The Associate Director will lead product strategy for global payments, mentor a team of PMs, and collaborate across internal and external stakeholders to enhance transaction systems.

The role involves directing and checking team members' work, analyzing technical needs, developing solutions, and ensuring user satisfaction.

The Solution Architect will collaborate with sales and technical teams to present and implement Snowflake solutions, ensuring customer success through hands-on support and training, and maintaining knowledge of data technologies.

The role requires analyzing business challenges and opportunities, developing data products using machine learning, and collaborating with business leaders. Strong analytical, problem-solving, and communication skills are essential.

Lead product management for SurveyMonkey's portfolio, overseeing AI strategies and a team of PMs, focusing on innovation and user experience.

Lead the development of core platform features, ensuring a user-centric experience for data scientists and analysts. Collaborate with teams to align product strategy with business goals, focusing on feature enhancement and stakeholder communication.

Lead the Finance AI Innovation Center to develop impactful AI solutions for finance processes, collaborating with product management to improve strategic decision-making.

As a Data Science & AI Deployment Specialist, you will design and implement data pipelines, deploy AI models, ensure compliance, and collaborate with teams for continuous improvement in production environments.

The Senior Applied Scientist will define and implement ML solutions, improve model performance, and engage with product teams on data-driven business decisions.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

The role offers veterans a one-week unpaid placement to learn about AI and data science in a leading UK tech company.

The AI Sales Specialist will drive sales strategies for Red Hat's AI portfolio, support account teams, and consult on AI solutions with clients, emphasizing relationship building and collaboration with partners.

The role involves developing AI/ML solutions for compliance and risk management, leveraging models and analytics across datasets.

Lead and mentor a data science team, develop ML solutions, drive AI/ML initiatives, ensure model performance and fairness, and foster innovation.

As an Advanced Data Science Associate, you'll develop advanced algorithms, apply statistical techniques, and collaborate with clients to communicate analysis findings.

Develop efficient algorithms, utilize machine learning and statistical techniques, collaborate with clients, and assess new data technologies.

The Data Science Manager will lead a team, develop strategies, manage projects, and drive client impact using advanced analytics and data science techniques to solve complex business problems.

Lead the Life Science R&D team in developing data-driven AI/ML solutions. Oversee project execution, enhance data science capabilities, and communicate insights effectively.

As an Account Manager, you will ensure customer success and growth for Fortune 1000 clients, drive innovation sales, and manage account strategies.

Lead user research projects, delivering insights to guide product decisions and ensuring alignment with business goals and strategies.

Lead the Customer Service data team to translate complex data into business strategies, optimizing customer experience and operational efficiency through analytics.

Lead product management for RGM PPA solutions, ensuring alignment with client goals, driving strategic insights, and mentoring a high-performing team.