Technical Specialist - Data Scientist
Fidelity InternationalGurgaon, Haryana, India
Posted December 8, 2025
Full Time
About the Company
Fidelity International offers investment solutions and services and retirement expertise to more than 2.9 million customers globally. As a privately held, purpose-driven company with a 50-year heritage, we think generationally and invest for the long term. Operating in more than 25 locations and with $893.2 billion* in total assets, our clients range from central banks, sovereign wealth funds, large corporates, financial institutions, insurers, and wealth managers, to private individuals. Our Global Platform solutions business provides individuals, advisers and employers with access to world-class investment choices, third-party solutions, administration services and pension guidance. Together with our Investment Solutions & Services business, we invest $625.4 billion on behalf of our clients. By combining our asset management expertise with our solutions for workplace and personal investing, we work together to build better financial futures. *Data as of 31 December 2024.
Job Description
We are seeking a Technical Specialist - Data Scientist to join our Data Value team. The role will involve developing Data Science and Advanced Analytics solutions for our business, working with key stakeholders to understand Fidelity's sales, marketing, client services, and propositions context, and implementing advanced analytics solutions on On-Premises/Cloud platforms.
Requirements
- 8+ years of experience in Data Science and Analytics
- 5+ years of hands-on experience in Statistical Modelling/Machine Learning Techniques/Natural Language Processing/Deep Learning
- 5+ years of experience in Python/Machine Learning/Deep Learning
- Excellent problem-solving skills
- Ability to run analytics applications such as Python, SAS and interpret statistical results
- Implementation of models with clear measurable outcomes
Benefits
- Comprehensive benefits package
- Wellbeing support
- Development opportunities
- Flexible working arrangements