Data Science Manager

Data Science Manager

This role is with one of our client, which is an AI-Powered Revenue Cycle Intelligence Platform, transforming the healthcare billing stack with autonomous medical coding, proactive denial prevention, and workflow automation solutions.

Location :

Work from Office – Koramangala, Bangalore

Experience : 5–6 years

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 :

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.

Requirements

5+ years of experience in data science, backend development, or related technical leadership roles.

Hands-on experience with GenAI, Large Language Models (LLMs), and vision systems is a must. 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.