Job Title – Data Scientist
The Purpose of This Role
The ARD AI Team is seeking a highly motivated Data Scientist to join a team that is focused to solve business problems in collaboration with our partners in Enterprise Technology. In this role, you will research, build, and deploy innovative AI-native solutions to create measurable business value. You will work closely with data scientists, engineering managers, and business stakeholders to employ AI technology into scalable solutions.
The Value You Deliver
- As a Data Scientist, you will leverage Machine Learning, Predictive Modeling, NLP, Generative AI, and Deep Learning to build AI-native solutions that drive business value.
- Apply customer-centric thinking to solve complex business problems through innovative, data-driven approaches.
- Foster a culture of continuous learning, experimentation, and knowledge sharing while developing scalable, production-ready AI solutions.
- Collaborate with cross-functional teams to identify opportunities and accelerate AI adoption across the organization.
The Skills that are Key to this role
Technical / Behavioral
- Hands-on experience developing and deploying Machine Learning, Deep Learning, and Generative AI solutions.
- Strong understanding of the end-to-end predictive modeling lifecycle, including EDA, feature engineering, model development, validation, experimentation, deployment, and monitoring.
- Proficiency in Python and SQL, with experience using tools/frameworks such as Streamlit.
- Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
- Experience designing and orchestrating agentic AI workflows and applications.
- Strong understanding of prompt engineering, context engineering, and LLM application development.
- Ability to translate business needs into AI/ML solutions through close collaboration with stakeholders.
- Strong communication and presentation skills, with the ability to convey technical concepts to both technical and non-technical audiences.
- Demonstrated curiosity, adaptability, and a passion for learning in a fast-paced, collaborative environment.
The Skills that are Good To Have for this role
- Experience fine-tuning Large Language Models (LLMs) and building Retrieval-Augmented Generation (RAG) applications.
- Familiarity with Vector Databases, Embedding Models, and Transformer architectures.
- Experience with the LangChain ecosystem (LangChain, LangGraph, and LangSmith) or equivalent for building and operating AI agent solutions.
- Experience designing evaluation frameworks (Evals) for LLM and agentic AI systems.
- Understanding of MLOps/LLMOps practices, including CI/CD pipelines, deployment, monitoring, and lifecycle management of AI solutions.
- Exposure to Responsible AI, model observability, and governance practices.
How Your Work Impacts the Organization
The Team
We are the ARD AI Team within the Analytics, Research & Data organization under Enterprise Data & AI. Our team brings together expertise in Applied Research, Data Science, Machine Learning, and Generative AI to build intelligent solutions that power critical capabilities across Enterprise Technology. We provide an innovation-driven environment where ideas can be explored, rapidly prototyped, validated with customers, and scaled into enterprise-grade solutions. By combining cutting-edge AI with strong business partnership, we turn emerging technologies into impactful products that deliver measurable value.
At ARD AI, you will do more than experiment with new technologies. You will help design and build transformative AI solutions that solve meaningful business challenges, enhance client experiences, and drive strategic outcomes for the firm.
The Expertise We’re Looking For
- Bachelors/Masters degree in engineering, Computer Science, Mathematics, Computational Statistics, Machine Learning or related technical fields.
- 4+ years of hands-on work experience as a data scientist developing and deploying Machine Learning, Deep Learning, and Generative AI solutions.
Location : Bangalore - EGL
Shift timings: 11:00 pm - 8:00pm
Certifications:Category:Data Analytics and InsightsSkills Required
- Bachelor’s or master’s degree in engineering, computer science, mathematics, computational statistics, machine learning, or a related technical field
- 4+ years of hands-on experience as a data scientist
- Experience developing and deploying machine learning, deep learning, and generative AI solutions
- Experience with the end-to-end predictive modeling lifecycle, including exploratory data analysis, feature engineering, model development, validation, experimentation, deployment, and monitoring
- Proficiency in Python and SQL
- Experience with Streamlit
- Experience with Azure, AWS, or GCP
- Experience designing and orchestrating agentic AI workflows and applications
- Understanding of prompt engineering, context engineering, and large language model application development
- Ability to translate business needs into AI and machine learning solutions
- Strong communication and presentation skills
- Experience fine-tuning large language models and building retrieval-augmented generation applications
- Familiarity with vector databases, embedding models, and transformer architectures
- Experience with LangChain, LangGraph, LangSmith, or equivalent tools
- Experience designing evaluation frameworks for large language model and agentic AI systems
- Understanding of MLOps and LLMOps practices, including CI/CD, deployment, monitoring, and lifecycle management
- Exposure to responsible AI, model observability, and governance practices
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.
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