Manager - Data Scientist (Machine Learning in Insurance)

IN_Manager_Data Scientist_D&A_Advisory_Mumbai

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities: 

 

Manager / Senior Consultant – Machine Learning (Insurance Domain) 
Location: Mumbai (Work from Office / Hybrid) 
Experience: 5–10 years 
Joining: Immediate / Short notice preferred 

 

Key Responsibilities: 
- Work on end-to-end insurance analytics use cases such as underwriting, claims, risk, customer analytics, and related areas 
- Translate business problems into analytical solutions and deliver actionable insights 
- Develop and implement predictive models and advanced analytical approaches 
- Build dashboards and data visualizations to support decision-making for business stakeholders 
- Collaborate with cross-functional and client teams to drive analytics-led solutions 
 
Must-Have Skills: 
1. Strong **Insurance Domain** Knowledge 
2. Advanced analytical skills using Python and SQL 
3. Solid understanding of predictive modeling and analytical problem-solving 
4. Experience creating dashboards and visualizations for business users 
5. Hands-on **Python** programming experience (data wrangling, modeling, visualization) 
6. Ability to communicate insights to Stakeholders. 

  

Preferred Skills: 
1. Exposure to GenAI driven analytics 
2. Experience with cloud platforms such as Databricks/AWS 
3. Experience in working with consulting or client-facing roles 

  

Mandatory skill sets: 

 

Data Science/ML/LLM/Insurance 

Preferred skill sets: 

 

Data Science/ML/LLM/Insurance  

Years of experience required: 

 

5—10 Years  

Education qualification: 

 

B.E.(B.Tech)/M.E/M.Tech 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of TechnologyDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Science

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Up to 40%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

Experience Level

Mid Level