6,070 Data Science Manager jobs in India

Role: Data Science Manager

Experience: 8-11 years (with at least 2 years managing a technical team)

Location: Bengaluru/ Remote within India

Compensation: 38-40 LPA Based on experience

Role Overview:

We are seeking an experienced Data Science Manager to lead and grow our data science function, driving cutting-edge machine learning initiatives that power Rocket Learning’s education platform. The ideal candidate will bring strong hands-on experience in deep learning and MLOps, along with demonstrated leadership in managing technical teams. This role will be instrumental in scaling our generative AI and predictive modeling capabilities, supporting impactful interventions across our programs and communities.

Key Areas of Responsibility

Team Leadership and Management

• Lead and mentor a team of data scientists, fostering a culture of collaboration, innovation, and accountability.
• Provide day-to-day technical guidance, career development, and performance feedback to team members.
• Take full ownership of the mentorship and management of the data science team.

Machine Learning and AI Innovation

• Design and implement scalable ML/DL models to support program delivery and engagement.
• Build and manage infrastructure to serve predictions at scale , ensuring reliability and performance.
• Drive adoption of generative modeling and large language model (LLM) use cases relevant to education.

MLOps and Deployment

• Collaborate with engineering and product teams to deploy ML models using FastAPI, Docker, Kubernetes .
• Own and improve CI/CD pipelines for model development and deployment.
• Ensure model performance monitoring and retraining workflows are in place

Strategic Collaboration

• Work with analytics, product, and engineering to identify high-leverage ML opportunities.
• Stay ahead of emerging AI trends and translate them into actionable innovations for the organization.

Responsibilities in Detail

• Develop and refine machine learning models for real-time and batch prediction.
• Implement deep learning solutions using frameworks like PyTorch or TensorFlow .
• Fine-tune and evaluate large language models for use in community engagement, content generation, and personalization.
• Optimize model deployment pipelines to ensure low latency and high throughput.
• Integrate ML solutions into our product and data infrastructure.
• Maintain strong documentation, reproducibility, and experiment tracking.
• Champion ethical and inclusive AI practices in educational applications

Critical Success Factors

Technical Expertise:

• Strong understanding of machine learning, deep learning, and generative AI concepts .
• Proven experience with PyTorch or TensorFlow for model development.
• Hands-on experience with FastAPI , Docker , and Kubernetes for model deployment.
• Familiarity with MLOps , CI/CD, and infrastructure for scaling AI systems.
• Experience with LLM fine-tuning and model serving at scale.
• Strategic Thinking:
• Ability to translate organizational needs into practical AI solutions.
• Strong judgment around trade-offs between accuracy, interpretability, and scalability.
• Collaboration Skills:
• Excellent communication skills to work with technical and non-technical stakeholders.
• Comfort working in a fast-paced, mission-driven, and agile environment.

Job Title: Manager – AI & Data Science Location: India (Remote/Hybrid) Reports To: Director – AI & Data Science / Engagement Lead

About the Role We are seeking a skilled and proactive Manager – AI & Data Science to lead day-to-day delivery, innovation, and client engagement for our AI-driven marketing measurement and optimization programs (including MMO and IMT/ MIO). The role requires a hands-on leader who can manage a high-performing team, ensure flawless execution, and contribute to ongoing enhancement of AI/ML solutions that drive value for our clients and their partners.

Key Responsibilities

• Project Leadership: Oversee delivery of AI/ML solutions, including Media Mix Optimization (MMO), Intelligent Media Targeting (IMT/MIO), and related marketing analytics initiatives.
• Client Engagement: Act as the primary point of contact for operational matters, collaborating closely with client stakeholders, media teams, and partner agencies.
• Solution Delivery: Ensure on-time, high-quality delivery of models, insights, and tools; manage model development, testing, deployment, and monitoring.
• Team Management: Lead and mentor a team of data scientists and analysts, fostering a culture of excellence, innovation, and accountability.
• Operational Excellence: Drive process improvements, documentation, and adoption of best practices across MLOps, data engineering, and analytics workflows.
• Innovation: Support the evolution of the company's AI product suite, contributing ideas and driving proof-of-concept initiatives (e.g., agentic AI, automation modules).

Required Qualifications

• Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field.
• 8-10 years of experience in AI/ML, data science, or advanced analytics, including 3+ years in a managerial or technical leadership role.
• Demonstrated experience delivering AI/ML solutions in marketing analytics, media measurement, or optimization domains.
• Strong proficiency in machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) and data tools (e.g., SQL, Python, Spark).
• Exposure to MLOps principles, cloud platforms (e.g., Azure, GCP), and model deployment best practices.
• Excellent communication skills and ability to engage effectively with both technical and non-technical stakeholders.

Preferred Skills

• Experience with media mix modeling (MMM), attribution models, or marketing effectiveness solutions.
• Understanding of ad platforms (e.g., Google, Meta, DV360) and integration of AI insights into media planning.
• Familiarity with Generative AI / LLM applications (nice to have).
• Prior exposure to working with global clients in a complex stakeholder environment.

Why Join Us

• Opportunity to lead high-impact AI initiatives for a global industry leader.
• Work with cutting-edge tools and solutions in a highly collaborative, innovative environment.
• Grow your career through mentorship, learning, and exposure to enterprise-scale AI products.

This role is for one of worko's clients, a leading E-commerce platform:

About the role

Are you a strategic thinker with a passion for solving large-scale problems using data? Do you enjoy mentoring high-performing teams and building ML systems that directly impact millions of users? We're looking for a Data Science Manager to lead a team of skilled data scientists in building intelligent systems that power our client's next phase of growth.

In this role, you’ll own the data science roadmap for a key business charter, guiding the team through ambiguity and complexity to deliver production-grade ML solutions. You’ll work closely with product, tech, and business leaders to translate complex challenges into scalable, measurable, and impactful outcomes. As a people and technical leader, you’ll ensure model efficiency, system reliability, and scientific excellence while fostering a culture of innovation, collaboration, and continuous improvement.

Key Responsibilities

• Lead, grow, and mentor a high-performing team of data scientists and ML engineers.
• Own all data science systems and models in your charter — from strategy to deployment and monitoring.
• Collaborate with senior product, engineering, and business leaders to define and prioritize impactful DS initiatives.
• Drive platformization, system architecture decisions, and ML lifecycle improvements across the charter.
• Ensure model scalability, performance, and cost efficiency, while upholding best practices in experimentation and statistical rigor.
• Guide the team in reading and implementing state-of-the-art research, and facilitate build vs. buy decisions.
• Lead RCA for critical production issues and improve system observability, documentation, and service uptime.

Requirements

• Master’s degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative field.
• 8+ years of experience in Data Science or Analytics, with at least 2–3 years of people management experience.
• Proven track record of building and deploying ML models in production at scale.
• Experience managing teams of 4+ data scientists/engineers and delivering across cross-functional charters.
• Deep expertise in ML algorithms, experimental design, and performance monitoring.
• Strong coding skills (Python, SQL) and familiarity with Big Data technologies like Spark, Hive, or Redshift.
• Ability to translate business needs into technical solutions, prioritize roadmaps, and estimate effort accurately.
• Strong communication and stakeholder management skills with a bias for action and clarity in execution.

Mandatory Requirements

• Master’s degree in Machine Learning, Statistics, Computer Science, or related quantitative field
• 8+ years of experience in Data Science or Analytics
• 2–3 years of people management experience
• Proven track record of building and deploying ML models in production at scale
• Experience managing teams of 4+ data scientists/engineers
• Deep expertise in ML algorithms, experimental design, and performance monitoring
• Strong coding skills (Python, SQL)
• Familiarity with Big Data technologies like Spark, Hive, or Redshift
• Ability to translate business needs into technical solutions
• Strong communication and stakeholder management skills

Preferred Requirements

• Experience leading ML initiatives in B2C or e-commerce settings
• Contributions to internal tools, open-source libraries, or research publications
• Experience in personalization, recommendations, ranking, or supply chain ML problems
• Strong understanding of ML system performance trade-offs

Salary

100-120 lpa

About RapidClaims:

RapidClaims is a leader in AI-driven revenue cycle management , transforming medical

coding and revenue operations with cutting-edge technology.

The company has raised $11 million in total funding from top investors, including Accel

and Together Fund .

Join us as we scale a cloud-native platform that runs transformer-based Large Language

Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll

engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at

lightning speed, deliver reimbursement insights with sub-second latency and

>99 %

accuracy, and tackle the deep-domain challenges that make clinical AI one of the

hardest—and most rewarding—problems in tech.

Data Science Manager - Job Overview:

We are looking for a Data Science Manager who can lead the design and delivery of

scalable, data-driven backend systems while effectively managing cross-functional teams

and engaging with clients. This role combines technical leadership, project delivery, and

people management—ideal for someone who thrives at the intersection of code,

communication, and execution.

Key Responsibilities:

Technical Leadership & Data Architecture:

Work closely with Data Science teams to embed AI models and analytical capabilities

into core applications.

Lead end-to-end sprint cycles, including sprint planning, task allocation, daily

standups, and retrospectives.

Track team performance and delivery timelines, using tools like JIRA, Trello, or

Asana to monitor progress.

Serve as the primary technical point of contact for clients—gathering requirements,

clarifying expectations, and presenting deliverables.

Translate client needs into actionable engineering goals while ensuring customer

satisfaction.

Manage a team of data scientists and analysts—offering coaching, feedback, and

mentorship to support career growth.

Foster a collaborative team culture that values transparency, ownership, and

continuous improvement.

Ensure that the team follows clean coding principles, test-driven development, and

proper documentation.

Conduct and guide peer code reviews to maintain high engineering standards.

Stay ahead of trends in AI/ML to keep our solutions cutting-edge and future-ready.

Preferred Skills:

Strong experience with backend technologies (e.g., PyTorch, Numpy, Pandas,

Python, REST APIs)

Exposure to data pipelines, analytics tools, or integrating AI/ML models

Familiarity with cloud platforms (AWS/GCP/Azure)

Project management experience (Agile, Scrum)

Excellent written and verbal communication skills