Senior Data Scientist

India - Punevia Capco CareersPosted Jul 22, 2026
Match with my CV

Technical skills

Data analysisData science

About this role

Job Title: Senior Data Scientist

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

Why Join Capco?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

Make An Impact

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#Beyourselfatwork

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

Career Advancement

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

Diversity & Inclusion

We believe that diversity of people and perspective gives us a competitive advantage.

Make An Impact

Job Title: Data Scientist

  • Wealth Management / Retail Banking

Experience: 6 to 10 Years

Location: Pune / Bengaluru

Employment Type: Full-Time

About the Role

We are seeking a highly skilled and experienced Data Scientist to join our Data Platforms team. The ideal candidate will have strong expertise in Data Science, Machine Learning, Advanced Analytics, and AI-driven solutions, with hands-on experience in the Wealth Management or Retail Banking domain or any BFSI domain.

Before you apply

  • 1Which parts of your CV prove experience with Data analysis and Data science?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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