Senior Analyst - Data Science

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Office, Machaze, Manica
Software • Financial Services
The Role
About the OpportunityJob Type: Permanent

Application Deadline: 31 July 2025

Title                 Senior Analyst - Data Science

Department      Enterprise Data & Analytics

Location          Gurgaon

Reports To       Gaurav Shekhar

Level                Data Scientist 4

We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our team and feel like you’re part of something bigger.

About your team

Join the Enterprise Data & Analytics team — collaborating across Fidelity’s global functions to empower the business with data-driven insights that unlock business opportunities, enhance client experiences, and drive strategic decision-making.

About your role
As a key contributor within the Enterprise Data & Analytics team, you will lead the development of machine learning and data science solutions for Fidelity Canada. This role is designed to turn advanced analytics into real-world impact—driving growth, enhancing client experiences, and informing high-stakes decisions. You’ll design, build, and deploy ML models on cloud and on-prem platforms, leveraging tools like AWS SageMaker, Snowflake, Adobe, Salesforce etc. Collaborating closely with business stakeholders, data engineers, and technology teams, you’ll translate complex challenges into scalable AI solutions. You’ll also champion the adoption of cloud-based analytics, contribute to MLOps best practices, and support the team through mentorship and knowledge sharing. This is a high-impact role for a hands-on problem solver who thrives on ownership, innovation, and seeing their work directly influence strategic outcomes.

About you

You have 4–7 years of experience working in data science domain, with a strong track record of delivering advanced machine learning solutions for business. You’re skilled in developing models for classification, forecasting, recommender systems and hands-on with frameworks like Scikit-learn, TensorFlow, or PyTorch. You bring deep expertise in developing and deploying models on AWS SageMaker, strong business problem-solving abilities, and are familiar with emerging GenAI trends. A background in engineering, mathematics, or economics from a Tier 1 institution will be preferred.

Feel rewarded

For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

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The Company
HQ: London
9,919 Employees
Year Founded: 1969

What We Do

Fidelity International offers investment solutions and services and retirement expertise to more than 2.5 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 countries and with $739.9 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 Workplace & Personal Financial Health 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 $567 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 March 2021

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