NLP Engineer/Data Scientist

Fitch Ratings

London

7 months ago

Applications closed

Related Jobs

View all jobs

Data Scientist / AI Engineer

Data Engineer

Machine Learning Engineer

MLOps / ML Engineer

Data Scientist (NLP & LLM Specialist)

Data Scientist NLP & LLM Specialist

BMI is currently seeking anNLP Engineer/Data Scientistbased out of ourLondon, Manchester or New Yorkoffices

BMI's systematic, independent and data-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support our customers’ strategic plans and investment decisions.

At BMI, we’re proud of the work we do to help our clients manage risks and opportunities in global markets, which began in 1984 and continues to this day. By stepping into a role here, you will help shape the strategic decisions of the world’s leading organizations. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with industry experts, thought leaders, and visionary executives, collectively working towards shaping the future of businesses that span a multitude of sectors. Our people are at the heart of everything we do, and we continuously strive to offer our colleagues a great place to work, with opportunities to learn, innovate, develop their careers, and serve the community.

Want to learn more about a career at BMI? Visit:

About the Team

BMI's GeoQuant team produces AI-driven Politics data, which integrates politics and computer science to create high-frequency, systematic country risk analytics that are transparent and can be validated. We build and maintain robust models that our customers use to identify and manage political risks, and generate investment returns.

Joining as an NLP Engineer/Data Scientist, you will help shape the strategic decisions of the world’s leading organizations. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with experts across political risk and other domains.

As an NLP Engineer/Data Scientist, you will design, build, and deploy NLP and machine learning models that power advanced analytics and insights for our clients. You will work closely with political scientists, data scientists, and backend developers to deliver interpretable, scalable solutions. Your expertise will help us innovate and adapt our modeling frameworks to address diverse customer needs in a fast-paced, collaborative environment.

How You’ll Make an Impact:

Design, build, and optimize NLP models for analytics and generative AI applications.

Develop and maintain robust ML and data pipelines for experimentation and deployment.
Collaborate cross-functionally with political scientists, data scientists, and backend developers.
Translate business requirements into technical solutions, ensuring practical impact.
Create and implement evaluation frameworks for NLP and generative AI content.
Explain ML/NLP model outputs and methodologies to non-technical stakeholders.
Support and improve CI/CD workflows for scalable model deployment.
Prototype and test new approaches for extracting insights from unstructured data.

You May be a Good Fit if:

Proven experience developing, refining, and monitoring NLP models.

Proficiency in Python and key NLP libraries (, Hugging Face, SpaCy, NLTK, Gensim).
Understanding of model evaluation methods and metrics.
Ability to operationalize non-technical ideas into relevant research designs, features, and model outputs.
Familiarity with experiment tracking and model management tools (, DVC, Weights & Biases).
Demonstrated experience with interpretable AI techniques.

What Would Make You Stand Out:

Exposure to different cloud-based data and analytics platforms ( AWS, DataBricks, Snowflake).

Advanced degree or certification in NLP, ML, or related fields.
Familiarity with DevOps practices and tools.
Hands-on experience with experimentation and model tracking tools (, MLFlow, Weights & Biases).
Demonstrable impact of technical solutions or projects on decision-making
Experience working in fast-paced, agile environments.
Publication or open-source NLP projects.
Customer-facing experience, notably in understanding end user needs and building collaborative relationships.
Subject matter experience with political science, geopolitics, or country risks.

Why Choose Fitch:

Hybrid Work Environment: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

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.

#LI-VD1 #LI-Solutions #LI-Hybrid

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

Industry Insights

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

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.