Principal Data Scientist (Chicago) jobs in United States
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Fitch Ratings · 1 hour ago

Principal Data Scientist (Chicago)

Fitch Group is a leading global financial information services provider, seeking a Principal Data Scientist for its Emerging Technology AI Center of Excellence. The role involves leading the development and deployment of generative AI and machine learning solutions, collaborating with cross-functional teams to drive innovation and improve business outcomes.

Financial ServicesInformation ServicesRisk ManagementVenture Capital
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Work & Life Balance
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H1B Sponsor Likelynote

Responsibilities

Work closely as part of the product squads to build, integrate, and deploy GenAI and data science solutions. Ensure sharing best practices and learnings with other squad members
Lead and manage development and research projects focused on generative AI, deep learning, machine learning, NLP, and large language models
Design, develop, and deploy state-of-the-art machine learning models and algorithms that leverage deep learning, NLP and computer vision techniques
Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and integrate them into existing systems and workflows
Conduct experiments to validate the performance and effectiveness of developed models and iterate on improvements based on results
Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business
Collaborate with MLEs to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals
Stay up to date with the latest advancements in AI, machine learning, NLP, and large language models, and apply this knowledge to drive innovation within the organization
Mentor and provide guidance to junior data scientists and researchers, fostering a culture of continuous learning and development
Contribute to the creation of intellectual property, such as patents and publications, to enhance the company's competitive edge

Qualification

Generative AIMachine LearningDeep LearningNatural Language ProcessingPythonPyTorchTensorFlowCloud ComputingLeadership SkillsProblem-Solving SkillsCommunication SkillsTeam Collaboration

Required

Ph.D. or master's degree in computer science, Data Science, Machine Learning, or a related field
A minimum of 7 years of experience in data science, with a strong focus on generative AI, deep learning, machine learning, NLP, and large language models
Proven track record of developing and deploying successful deep learning and NLP models in real-world applications
Proficiency in programming languages such as Python, and experience with machine learning frameworks such as PyTorch, TensorFlow or similar
Strong understanding of natural language processing (NLP) techniques and experience with large language models like GPT, BERT, or similar
Proficiency in machine learning and deep learning algorithms such as Neural networks, multi-class classifications, decision trees, support vector machines etc
Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM's
Excellent problem-solving skills and the ability to think critically and creatively
Strong communication and leadership skills, with a demonstrated ability to work effectively in a collaborative environment
Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc
Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sage maker, Azure AI search, Azure OpenAI, Azure blob storage etc

Preferred

Passionate about the power of data, GenAI and predictive analytics to drive better business outcomes for customers
Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment
Familiarity with credit ratings agencies, regulations, and data products around the world
Outstanding written and verbal communication skills
A champion of good code quality and Data science practices
Strong interpersonal skills and ability to work proactively and as a team player

Benefits

Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location
A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
Inclusive Work Environment : A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

Company

Fitch Ratings

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Fitch Ratings is a global rating agency committed to providing the world’s credit markets with independent and prospective credit.

H1B Sponsorship

Fitch Ratings has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (35)
2024 (16)
2023 (37)
2022 (44)
2021 (16)
2020 (25)

Funding

Current Stage
Late Stage
Total Funding
unknown
Key Investors
Hearst Communications
2006-03-15Corporate Round

Leadership Team

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Tracey Perini
Chief Financial Officer
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Laura Porter
Global Group Head - Public Finance & Infrastructure
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Company data provided by crunchbase