Fidelity Investments Header

Principal Data Scientist

Merrimack, NH
Full-Time

Job Description

Job Description:

Job Description:

We are seeking a visionary Director of Data Science to join the Artificial Intelligence and Machine Learning (AIML) team within Fidelity Fund and Investment Operations (FFIO). In this leadership role, you will drive the development and deployment of innovative machine learning solutions that address complex business and technical challenges across FFIO.

Key Responsibilities:

  • Over 5 years of hands-on experience in developing machine learning and large language models (LLMs) using Python and R.
  • Successfully designed, deployed, and optimized multiple AI/ML solutions in production, ensuring scalability and performance.
  • Continuously stay abreast of emerging AI/ML technologies, including AI agents, and apply cutting-edge tools to build effective, innovative solutions.
  • Collaborate closely with DevOps teams to establish and maintain robust AI infrastructure and deployment pipelines.
  • Proven ability to architect intelligent, adaptive AI systems that support diverse use cases, driving down development costs while maximizing business impact.
  • Strong proficiency in SQL, with extensive experience in data preprocessing, wrangling, and transforming unstructured data into enriched, structured formats to support data-driven decision-making.
  • Partner with business leaders to define project objectives, analyze current workflows, and design future-state processes powered by AI.
  • Work with senior stakeholders across business and technology to prioritize initiatives, maintain a healthy project pipeline, and ensure successful delivery.
  • Demonstrated aptitude for understanding complex business processes and data ecosystems, enabling more informed and strategic solution design.
  • Skilled in presenting project updates, insights, and solution demos to both technical and non-technical senior leadership audiences with clarity and confidence.

The Expertise and Skills You Bring

  • Bachelor of Computer Science, Statistics, Physics, or Finance
  • 8+ years of industry experience in data science or machine learning roles.
  • Demonstrated success in leading data science or ML teams within complex, enterprise-scale environments.
  • Deep knowledge of AI/ML methodologies, including model development, data engineering, and deployment pipelines.
  • Strong proficiency in Python, SQL, and advanced data analysis techniques.
  • Hands-on experience with Generative AI, Deep Learning, and Large Language Models (LLMs), including techniques such as prompt engineering, chain-of-thought prompting, RLHF, and few-shot/one-shot learning.
  • Expertise with cloud and data platforms such as AWS, Snowflake, and Oracle RDS.
  • Experience working in Scaled Agile environments, with the ability to plan, prioritize, and deliver high-impact solutions.
  • Exceptional communication skills with the ability to engage and influence both technical and non-technical stakeholders. Proven ability to collaborate across cross-functional teams.
  • Comfortable navigating complex and ambiguous problem spaces with a solution-oriented mindset.
  • Passionate about staying at the forefront of AI/ML advancements and driving innovation through continuous learning and experimentation.

The Team

Fidelity Fund & Investment Operations (FFIO) technology team crafts and maintains technology solutions and products that enable FFIO to provide accounting and investment management support services to Fidelity fund management and shareholders. Advanced Analytics team is responsible for providing thought-leadership by generating effective insights to improve business excellence using data science techniques.

Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.

Certifications:

Category:

Data Analytics and Insights

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

PDN-9fcd57e9-bc6e-4dc9-9c5d-bcc577bf480c

Job Description:

Job Description:

We are seeking a visionary Director of Data Science to join the Artificial Intelligence and Machine Learning (AIML) team within Fidelity Fund and Investment Operations (FFIO). In this leadership role, you will drive the development and deployment of innovative machine learning solutions that address complex business and technical challenges across FFIO.

Key Responsibilities:

  • Over 5 years of hands-on experience in developing machine learning and large language models (LLMs) using Python and R.
  • Successfully designed, deployed, and optimized multiple AI/ML solutions in production, ensuring scalability and performance.
  • Continuously stay abreast of emerging AI/ML technologies, including AI agents, and apply cutting-edge tools to build effective, innovative solutions.
  • Collaborate closely with DevOps teams to establish and maintain robust AI infrastructure and deployment pipelines.
  • Proven ability to architect intelligent, adaptive AI systems that support diverse use cases, driving down development costs while maximizing business impact.
  • Strong proficiency in SQL, with extensive experience in data preprocessing, wrangling, and transforming unstructured data into enriched, structured formats to support data-driven decision-making.
  • Partner with business leaders to define project objectives, analyze current workflows, and design future-state processes powered by AI.
  • Work with senior stakeholders across business and technology to prioritize initiatives, maintain a healthy project pipeline, and ensure successful delivery.
  • Demonstrated aptitude for understanding complex business processes and data ecosystems, enabling more informed and strategic solution design.
  • Skilled in presenting project updates, insights, and solution demos to both technical and non-technical senior leadership audiences with clarity and confidence.

The Expertise and Skills You Bring

  • Bachelor of Computer Science, Statistics, Physics, or Finance
  • 8+ years of industry experience in data science or machine learning roles.
  • Demonstrated success in leading data science or ML teams within complex, enterprise-scale environments.
  • Deep knowledge of AI/ML methodologies, including model development, data engineering, and deployment pipelines.
  • Strong proficiency in Python, SQL, and advanced data analysis techniques.
  • Hands-on experience with Generative AI, Deep Learning, and Large Language Models (LLMs), including techniques such as prompt engineering, chain-of-thought prompting, RLHF, and few-shot/one-shot learning.
  • Expertise with cloud and data platforms such as AWS, Snowflake, and Oracle RDS.
  • Experience working in Scaled Agile environments, with the ability to plan, prioritize, and deliver high-impact solutions.
  • Exceptional communication skills with the ability to engage and influence both technical and non-technical stakeholders. Proven ability to collaborate across cross-functional teams.
  • Comfortable navigating complex and ambiguous problem spaces with a solution-oriented mindset.
  • Passionate about staying at the forefront of AI/ML advancements and driving innovation through continuous learning and experimentation.

The Team

Fidelity Fund & Investment Operations (FFIO) technology team crafts and maintains technology solutions and products that enable FFIO to provide accounting and investment management support services to Fidelity fund management and shareholders. Advanced Analytics team is responsible for providing thought-leadership by generating effective insights to improve business excellence using data science techniques.

Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.

Certifications:

Category:

Data Analytics and Insights

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

PDN-9fcd57e9-bc6e-4dc9-9c5d-bcc577bf480c

About Fidelity Investments

At Fidelity, since our founding in 1946, we have been dedicated to strengthening and security our clients’ financial well-being through exceptional service and innovative solutions. We empower over ~50 million people to achieve their most important financial goals, manage employee benefit programs for nearly 24,000 businesses, and support more than 16,000 wealth management firms and institutions with cutting-edge investments and technology. Our diverse business portfolio and independence provide us with a comprehensive view of the market and the stability to deliver long-term value for our customers. As the financial industry evolves and customer needs grow more complex, Fidelity continues to reinvent, innovate, and transform to meet the challenges of tomorrow’s financial landscape.
 

*Specifically serviced by our Clearing & Custody team within Fidelity Institutional

 

Fidelity TalentSource, is the in-house temporary staffing provider for Fidelity Investments. Unlike traditional staffing agencies, we are an internal business unit within Fidelity’s Talent Acquisition team, dedicated to recruiting talent from various backgrounds for roles in Fidelity’s regional and investor center locations. Our mission is to help you experience Fidelity’s diverse and inclusive workplace while expanding your skill set and professional network, with the ultimate goal of conversion to full-time employment as part of Fidelity’s long-term strategy. To learn more about temporary positions at Fidelity Investments, visit FidelityTalentSource.com.

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Principal Data Scientist
Fidelity Investments
Merrimack, NH
Sep 5, 2025
Full-time
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