National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist (Engineering Focus)

Matchtech
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist – Machine Learning -  Defence – Eligible for SC

Senior Data Scientist role - Financial Services | Guildford £80k

Senior Data Scientist

Senior Data Scientist

Job summary

Data Scientist with a strong engineering background with experience with real time data processing, 3-4 days on sight paddington.

Key skills required for this role

Data Science - quantitative finance or trading research - Data Engineer

Important

Senior Data Scientist

Job description

About the Role


We are seeking a highly skilledSenior Data Scientistto design and implement a robust data pipeline for an AI/LLM-driven trading platform. The ideal candidate will be responsible for collecting, extracting, cleaning, normalizing, and structuring large-scale data from sources (e.g., financial articles, books, and research papers). This role requires deep expertise in data engineering, NLP, and financial market data to ensure high-quality datasets for machine learning and trading strategy development.


Key Responsibilities

Data Pipeline Development:Build and maintain a scalable and efficient data pipeline that processes unstructured data for AI/LLM models.


Unstructured Data Processing:Extract and preprocess text from books, articles, and research reports to be utilized in AI/LLM-based analytics.
ETL & Data Engineering:Develop ETL processes to ingest and transform data from multiple sources into a unified format.
Data Quality Assurance:Implement validation and anomaly detection mechanisms to ensure data integrity and accuracy.
Collaboration:Work closely with quant researchers, AI/ML engineers, and trading teams to ensure seamless data flow and accessibility.
Automation & Optimization:Automate data ingestion, transformation, and storage processes for efficiency and scalability.

Requirements

Strong academic background inData Science, Machine Learning, Artificial Intelligence, or a related field.


Experience in building and optimisingdata pipelines and workflows.
Proficiency inPython, SQL, and ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)and at least oneObject-Oriented Programming (OOP)language (e.g., Rust, C++, C#, …)
Hands-on experience withLLMs, NLP techniques, and AI-driven data processing.
Experience working with financial datasets and understanding of market data structures, is preferred.
Knowledge ofAPIs, cloud computing (AWS, GCP, Azure), and database management.
Strong problem-solving skills with the ability to work on complex data-driven projects.

Nice to Have

Background inquantitative finance or trading research.


Experience inreal-time data processingand streaming architectures.
Exposure tocryptocurrency markets. Share

manages this role

Matchtech is a STEM Recruitment Specialist, with over 40 years’ experience

National AI Awards 2025

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.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.