Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Staff Data Scientist, Associate Director

Fitch Group
London
3 weeks ago
Create job alert

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/

About the Team

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+ years of 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-Ljbffr

Related Jobs

View all jobs

Staff Data Scientist, Associate Director

Staff Data Scientist, Associate Director

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director (Manchester)

Associate Director/ Senior Data Scientist

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.