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- Tasks: Design and deploy NLP models for advanced analytics in a collaborative environment.
- Company: BMI provides data-driven insights to help clients manage risks across global markets.
- Benefits: Enjoy hybrid work, continuous learning, health support, and family-friendly policies.
- Why this job: Shape strategic decisions for leading organisations while innovating in AI and machine learning.
- Qualifications: Experience in NLP, proficiency in Python, and familiarity with key libraries required.
- Other info: Join a diverse team committed to community service and inclusive workplace culture.
The predicted salary is between 43200 - 72000 £ per year.
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Client:
Fitch Solutions
Location:
Manchester, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
7bcab758d7ef
Job Views:
2
Posted:
14.07.2025
Expiry Date:
28.08.2025
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Job Description:
BMI is currently seeking an NLP Engineer/Data Scientist based out of our London, Manchester or New York offices
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 (e.g., 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 (e.g., DVC, Weights & Biases).
- Demonstrated experience with interpretable AI techniques.
What Would Make You Stand Out:
- Exposure to different cloud-based data and analytics platforms (e.g. 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 (e.g., 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 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.
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NLP Engineer/Data Scientist Director employer: Fitch Solutions
Contact Detail:
Fitch Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP Engineer/Data Scientist Director
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and machine learning. Being well-versed in current trends and technologies will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of NLP and data science. Attend relevant meetups, webinars, or conferences to connect with industry experts and gain insights that could give you an edge in your application.
✨Tip Number 3
Showcase your hands-on experience with NLP projects, especially those that demonstrate your ability to translate complex technical concepts into practical solutions. This can be done through personal projects or contributions to open-source initiatives.
✨Tip Number 4
Prepare to discuss how your work has impacted decision-making processes in previous roles. Highlight specific examples where your technical solutions have led to tangible results, as this aligns with the expectations of the role at BMI.
We think you need these skills to ace NLP Engineer/Data Scientist Director
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in NLP and data science. Focus on specific projects or roles where you've developed, refined, or monitored NLP models, and mention the tools and libraries you used.
Craft a Compelling Cover Letter: In your cover letter, express your passion for NLP and data science. Discuss how your skills align with the job requirements and how you can contribute to BMI's mission of providing market insights and analysis.
Showcase Technical Skills: Clearly list your proficiency in Python and key NLP libraries such as Hugging Face, SpaCy, and NLTK. Mention any experience with cloud-based platforms and model management tools, as these are crucial for the role.
Demonstrate Collaboration Experience: Highlight any past experiences where you've worked cross-functionally with teams, especially with political scientists or data scientists. This will show your ability to translate business requirements into technical solutions.
How to prepare for a job interview at Fitch Solutions
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with NLP models in detail. Highlight specific projects where you've developed, refined, or monitored these models, and be ready to explain the methodologies you used.
✨Demonstrate Technical Proficiency
Familiarise yourself with key NLP libraries such as Hugging Face, SpaCy, and NLTK. During the interview, mention how you've applied these tools in past projects and be ready to solve technical problems on the spot.
✨Communicate Effectively with Non-Technical Stakeholders
Since you'll need to explain complex model outputs to non-technical team members, practice simplifying your explanations. Use analogies or visual aids if necessary to convey your points clearly.
✨Highlight Collaborative Experiences
Emphasise your ability to work cross-functionally with political scientists, data scientists, and developers. Share examples of how collaboration has led to successful project outcomes, showcasing your teamwork skills.
