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Senior Data Scientist
Job in
Birmingham, West Midlands, B1, England, UK
Listed on 2026-02-19
Listing for:
RCRTR
Full Time
position Listed on 2026-02-19
Job specializations:
-
IT/Tech
AI Engineer, Data Scientist
Job Description & How to Apply Below
Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers.
The Opportunity
In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets.
Your Impact
* Model
Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes.
* Pipeline Development:
Develop and maintain robust ML and data pipelines for experimentation and deployment.
* Insight Extraction:
Prototype and test new approaches for extracting insights from structured and unstructured data.
* Technical Translation:
Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions.
Your Experience
* Experience Level: 5-7+ years (More experience is welcomed).
* Core Technicals:
High expertise in Python and Machine Learning (ML).
* NLP Expertise: 3-5 years of experience in Natural Language Processing.
* AI Knowledge:
Familiarity with Lang Chain and Llama Index. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch.
* Deployment:
Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting
Position Requirements
10+ Years
work experience Additional Information / Benefits
Generous Pension, Healthcare etc
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