At a Glance
- Tasks: Lead AI/ML projects, collaborate with teams, and deliver impactful data science solutions.
- Company: Join Fitch Group, a top global financial information provider with over 100 years of experience.
- Benefits: Enjoy hybrid work, comprehensive healthcare, tuition reimbursement, and generous parental leave.
- Other info: Fitch values diversity and offers a supportive environment for growth and collaboration.
- Why this job: Be part of a dynamic team driving innovation in technology and data for meaningful impact.
- Qualifications: 6+ years in data science, expertise in ML, and a degree in a quantitative field required.
The predicted salary is between 48000 - 72000 £ per year.
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Staff Data Scientist, Associate Director
Requisition ID: 48580
Business Unit: Fitch Group
Category: Information Technology
Location:
London, GB
Date Posted: Aug 19, 2025
Fitch Group is currently seeking a Staff Data Scientist, Associate Director based out of our London office.
As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.
Fitch\'s Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you\'re an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.
Want to learn more about a career in technology and data at Fitch?
Visit: https://careers.fitch.group/content/Technology-and-Data/
The AI Implementation Team is dedicated to building and supporting Generative AI, Machine Learning (ML), and Data Science solutions across the Fitch Ratings and Solutions organizations. Our objectives include developing and implementing enterprise-level AI and ML technology, tools, and capabilities in collaboration with business partners and product squads, as well as providing guidance for efficient and secure use of AI.
How You’ll Make an Impact
Drive Business Value through AI/ML Solutions:Collaborate with business partners and cross-functional teams to identify high-impact use cases for AI, LLMs, and traditional ML. Design and deliver models that solve evolving business problems and improve internal workflows.
Deliver Data Science Insights:Conduct robust statistical analyses and exploratory modeling. Define and build well-structured, AI-ready datasets that support advanced analytics at scale.
Bridge Business & Technical Priorities:Act as a connector across teams—translating strategic needs into technical solutions, partnering with product, engineering, and business teams to iterate quickly and deliver results.
Own the End-to-End Model Lifecycle:Develop, fine-tune, evaluate, and deploy models in production environments. Monitor performance, gather feedback, and adapt solutions to meet changing requirements.
Promote Reusability & Sound Engineering:Build and maintain production-quality code with strong documentation and testing practices. Emphasize modularity, maintainability, and object-oriented programming for scalable ML solutions.
Communicate Effectively: Translate data science & ML concepts for technical and non-technical stakeholders, focusing on applicability to Fitch use cases
You May Be a Good Fit if You Have
6+yearsof professional experience in data science or ML-focused roles
Expertise in traditional ML (e.g. regression, classification, time series) and modern deep learning ML, LLMs, including fine-tuning, prompt engineering, and evaluation
Hands-on experience working across the full ML lifecycle, from exploratory analysis, experimentation and modeling, to deployment, monitoring, and iteration
Experience building and integrating AI solutions into existing workflows, leveraging and/or finetuning LLMs. (experience building agentic workflows strongly preferred)
Familiarity with containerization tools like Docker, Kubernetes, AWS EKS, etc.
Knowledge of popular cloud computing (AWS and Azure) infrastructure & services e.g., AWS Bedrock, SageMaker, S3; Azure AI Search, OpenAI, blob storage, etc.
An adaptable mindset and strong problem-solving focus with a bias toward practical, business-first AI implementation
Bachelor’s degree (master’s or PhD strongly preferred) in a quantitative or technical field
What Would Make You Stand Out
Strong software engineering skills, OOP principles, version control, and testing
Exceptional communication skills, with the ability to translate complex modeling and data concepts to varied audiences, including business and technical stakeholders
Experience supporting prototyping teams to enable seamless transition from prototype to development and deployment
Experience mentoring other data scientists and fostering a culture of collaboration & learning
Strong interpersonal skills and ability to work proactively as a team player
Proven ability to work effectively in a distributed team environment and efficiency in fast-paced settings
Proven ability to collaborate with non-AI/ML teams to integrate AI solutions into broader workflows and projects.
Familiarity with credit ratings agencies, regulations, and data products
Why Choose Fitch
- 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 workplacewhere all voices are valued, withEmployee 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
Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest.Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.
Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
#J-18808-LjbffrStaff Data Scientist, Associate Director in London employer: Fitch Group, Inc., Fitch Ratings, Inc., Fitch Solutions Group
Fitch Group is an exceptional employer, offering a dynamic and innovative work environment in the heart of London. With a strong commitment to employee growth through dedicated training and mentorship programmes, as well as a culture that values collaboration and inclusivity, Fitch empowers its staff to thrive both personally and professionally. The company also prioritises work-life balance with hybrid working options and comprehensive health benefits, making it an ideal place for those seeking meaningful and rewarding careers in technology and data.
Contact Details:
Fitch Group, Inc., Fitch Ratings, Inc., Fitch Solutions Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Scientist, Associate Director in London
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to financial services. Being able to discuss current innovations and how they can be applied at Fitch will show your enthusiasm and expertise.
✨Tip Number 2
Network with professionals in the data science and financial sectors. Attend industry events or webinars where you can meet people from Fitch Group or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss specific projects where you've successfully implemented AI/ML solutions, focusing on the impact these had on business outcomes.
✨Tip Number 4
Brush up on your communication skills, particularly in translating complex technical concepts into layman's terms. This is crucial for collaborating with non-technical stakeholders at Fitch, so practice explaining your work in a clear and concise manner.
We think you need these skills to ace Staff Data Scientist, Associate Director in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science and machine learning. Focus on specific projects where you've driven business value through AI/ML solutions, as this aligns with the role's requirements.
Craft a Compelling Cover Letter:In your cover letter, express your passion for leveraging technology to solve business problems. Mention how your skills in statistical analysis and model deployment can contribute to Fitch Group's objectives.
Showcase Technical Skills:Clearly outline your expertise in traditional ML and deep learning techniques. Include any hands-on experience with tools like Docker, AWS, or Azure, as these are crucial for the position.
Demonstrate Communication Skills:Highlight your ability to communicate complex data concepts to both technical and non-technical stakeholders. Provide examples of how you've successfully bridged the gap between business needs and technical solutions in past roles.
How to prepare for a job interview at Fitch Group, Inc., Fitch Ratings, Inc., Fitch Solutions Group
✨Understand the Role and Responsibilities
Before the interview, make sure you thoroughly understand the job description. Familiarise yourself with the key responsibilities such as driving business value through AI/ML solutions and owning the end-to-end model lifecycle. This will help you articulate how your experience aligns with their needs.
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with traditional ML and modern deep learning techniques. Highlight specific projects where you've built and integrated AI solutions, and be ready to explain your approach to the full ML lifecycle, from exploratory analysis to deployment.
✨Communicate Effectively
Since the role requires translating complex data science concepts for both technical and non-technical stakeholders, practice explaining your past projects in simple terms. Use examples that demonstrate your ability to bridge the gap between business needs and technical solutions.
✨Demonstrate Collaboration Skills
Fitch values teamwork and collaboration, so be ready to share examples of how you've worked effectively in distributed teams. Discuss any mentoring experiences or how you've supported prototyping teams to ensure a smooth transition from prototype to development.
