About the Opportunity

Job Type: Permanent

Application Deadline: 23 March 2026

Title Customer Analytics & Insights Senior Manager Department Global Central Marketing Operations - Customer Insights & Analytics Location Gurugram Reports To Customer Analytics & Insights Associate Director Level Senior Manager - Grade 6 About Fidelity International 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 locations and with $608.7billion in total assets, our clients range from central banks, sovereign wealth funds, large cor-porates, 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 in-vestment choices, third-party solutions, administration services and pension guidance. Together with our Investment Solutions & Ser-vices business, we invest $437 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. Find out more about what we do, our history, and how you could be a part of our future at careers.fidelityinternational.com/about-us. Our clients come from all walks of life and so do we. We are proud of our inclusive culture and encourage applications from the wid-est mix of talent, whatever your age, gender, ethnicity, sexual orientation, gender identity, social background and more. As a flexible employer, we trust our people to perform their role in the way that works best for them, our clients and our business. We are a disability-friendly company and would welcome a conversation with you if you feel you might benefit from any reasonable ad-justments to perform to the best of your ability during the recruitment process and beyond. Our Values Integrity - Doing the right thing, every time and putting the client first Trust - Empowering each other to take the initiative and make good decision Our Behaviours Our employees should be: Brave - Challenge the status quo, be accountable and speak up Bold - Act with conviction, encourage diverse thinking and keep things simple Curious - Learn to do new things in better ways and encourage fresh thinking Compassionate - Have empathy, care for colleagues, clients and the community Department Description The Global Central Marketing Operations organisation is responsible for designing, building, optimising and measuring multi-channel customer journeys across Email, SMS/WhatsApp, Push, In‑App, and Web experiences. Partnering closely with Data, Mar-Tech, and Brand teams, we use our Orchestration Engine to activate first‑party data responsibly and at scale, ensuring communica-tions are timely, relevant and compliant. About the team The Customer Analytics & Insights team transforms customer data into actionable insights that optimize multi-channel journeys. Providing measurement, segmentation, and experimentation frameworks to improve engagement, conversion, and retention.   Key Responsbilities • Use machine learning tools and statistical techniques to produce solutions to problems • Use advances in data science to create forecasting and propensity models to predict the future behaviour of our customers • Test data mining models to select the most appropriate ones for use on a project • Working closely with the Data Engineer, Data Scientists, Data Architects and Internal stakeholders to drive the data science projects • Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance • Increase our understanding of our customer bases by ensuring we have greater transparency on our customer base, their demographics and behaviours • Support or drive marketing and technology initiatives • Actively develop new cloud-productionised prediction models with outputs • Manage dashboards and output of models effectively to drive customer insight and campaign targeting Experience and Qualifications • Proven experience as a Data Scientist, Machine Learning Engineer, or similar analytical role. • Strong proficiency in Python, SQL, and statistical modeling techniques. • Experience with machine learning frameworks (e.g., scikit learn, TensorFlow, PyTorch). • Comfort working with large datasets, cloud environments, and modern data stacks. • Experience in marketing analytics, experimentation, or customer analytics is preferred. • Ability to communicate complex technical topics to non technical stakeholders. • Strong problem-solving skills, curiosity, and a hypothesis driven approach. solving skills, curiosity, and a hypothesis driven approach. About you • 10+ years of technical expertise in data models, data mining, and segmentation techniques • Proficiency in designing algorithms and using statistical and problem-structuring methods • Ability to use linear and non-linear regression, logistic regression, models and classification techniques for data analysis, clustering, dimensionality reduction, k-NN and pipeline • Strong experience in using visualisation tools for large-scale data dashboarding e.g. Power BI, Tableau • Strong experience using Python and its libraries specialising in Data Science and Data Engineering capabilities e.g. Pan-das, Sklearn, pyspark, matplotlib etc.