Senior Analyst - Data Science
Fidelity International (company site, opens in a new tab)5–8 yrsGurugramOn-siteDirect career pageEst. 18–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, validate, and deploy machine learning models addressing classification, forecasting, segmentation, and recommendation problems.
- Analyze large datasets to extract actionable business insights and present findings to influence strategic decisions.
- Develop and operationalize ML solutions using cloud platforms like AWS SageMaker and collaborate with data engineering teams for deployment and scalability.
Minimum Requirements
- Bachelor's or master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or related quantitative discipline.
- 5-8 years of experience in Data Science, Machine Learning, or Advanced Analytics with end-to-end project delivery in business settings.
- Proficient in Python, SQL, and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Experience with cloud ML deployment environments including AWS SageMaker.
Ideal Candidate Profile
- Experienced in leading analytical workstreams and influencing stakeholders to translate business problems into scalable data science solutions.
- Strong background in predictive modeling, forecasting, segmentation, attribution, recommender systems, and statistical techniques.
- Familiarity with MLOps best practices and emerging AI technologies like Generative AI and Large Language Models, preferably with financial services exposure.