Job Title – Data Scientist
The Purpose of This Role
This role involves working with senior stakeholders in understanding and identifying the business requirements and needs in the areas of Big Data Analytics and Artificial Intelligence. Scanning the fast paced external and internal environments in these areas, developing futuristic ideas that would benefit the firm and leading implementation of mathematical/AI models/algorithms/solutions to bring those ideas to life. Specific experience in AI areas like deep learning, genetic algorithms will be an advantage.
Individual in this role is expected to work with multiple stakeholders and teams, have excellent knowledge and experience of recent developments and work in a self-directed manner in ambiguously defined need areas.
The Value You Deliver
Manage and guide data science and data engineering elements of AI projects
Set a strategic direction for data identification, collection and qualification activities
Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions
Develop best practices for data science, considering the full analytical lifecycle
Develop guidelines for the evaluation of new analytical tools and platforms
The Skills that are Key to this role
Technical / Behavioural
The candidate should possess extensive knowledge of and experience in applying statistics, data mining, machine learning and deep learning techniques in a professional context
Candidate should be expert in handling various data types and structures: structured, unstructured, voice, image and video data, static versus streaming data. Extensive prior experience in integrating data, profiling, validating and cleansing data in Big Data platforms is a must.
Should have extensive experience with relational, NO-SQL and Graph databases.
High level of proficiency in statistical tools, programming environments like Python, Big Data platforms like Spark and cloud platforms like AWS is a must.
Must possess good programming languages skill in Python/Java/C/C++
Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is preferred.
Have the ability to discover new opportunities where analytical techniques can be leveraged for solving business problems.
Relevant experience with organizations known for cutting edge/ best-in-class applications of Advanced Analytics, Predictive Modeling and Artificial Intelligence.
Master’s Degree / PhD in a quantitative field (e.g., Computer Science, Economics, Engineering, Statistics, Mathematics, Finance, Operations Research)
The Skills that are Good To Have for this role
Extensive knowledge on Fidelity Datawarehouses with deep expertise in interpreting hidden patterns from data
Hands-on experience in building machine learning solution using NLP/NLU applications, computer vision intelligence and developing RPA applications
Exposure to Graph Databases like GraphX, Neo4j and semantic web applications will be preferred.
Candidate will be expected to communicate analytical results and developed solutions in a way that is meaningful for business stakeholders and provides actionable insights.
How Your Work Impacts the Organization
BU Overview
Personal Investing (PI) is the retail investing arm of Fidelity that serves the financial needs of millions of individual investors with a comprehensive range of investment products and services. The primary objective of the team in India is to enable the PI businesses, working with our IT business partners in the US. Over the years, we have developed technical expertise on various functions of personal and strategic investment products and data. Across our business we take great pride in building strong and lasting relationships with our customers, providing sound investment guidance, and delivering a best-in-class customer experience
The Expertise We’re Looking For
Relevant Data Science/AI Experience
Post Graduate/PhD.
Location: Bangalore – EGL
Shift timings: 11:00 pm - 8:00 pm
Certifications:Category:Data Analytics and InsightsSkills Required
- Master's Degree or PhD in a quantitative field
- Extensive knowledge of statistics, data mining, and machine learning
- High proficiency in statistical tools and programming environments like Python and Big Data platforms
- Extensive experience with relational and NO-SQL databases
- Good programming skills in Python, Java, C, or C++
- Experience integrating, profiling, validating, and cleansing data in Big Data platforms
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
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Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
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Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.
Fidelity Investments Insights
What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
