Senior Data Scientist (Engineering Focus)

TN United Kingdom; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading company in London seeks a Senior Data Scientist with a strong engineering focus. The role involves designing and implementing robust data pipelines for an AI-driven trading platform, requiring expertise in data engineering, NLP, and financial datasets. Ideal candidates will have a solid academic background and hands-on experience with machine learning libraries.

Qualifications

• Strong academic background in Data Science, Machine Learning, AI.
• Experience in building and optimizing data pipelines.
• Hands-on experience with LLMs and NLP techniques.

Responsibilities

• Build and maintain scalable data pipelines for AI/LLM models.
• Develop ETL processes to transform data into a unified format.
• Collaborate with quant researchers and AI/ML engineers.

Skills

Data Science

Machine Learning

Artificial Intelligence

Python

SQL

Data Engineering

NLP

Problem Solving

Education

Data Science

Machine Learning

Artificial Intelligence

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Job description

Senior Data Scientist (Engineering Focus), London

Client:

Location:

London, United Kingdom

Job Category:

Online job hunting tools

EU work permit required:

Yes

Job Reference:

d9e8a17024f5

Job Views:

3

Posted:

17.05.2025

Expiry Date:

01.07.2025

Job Description:

Job summary

Data Scientist with a strong engineering background with experience in real-time data processing, based in Paddington (3-4 days on-site).

Key skills required for this role

Data Science, quantitative finance or trading research, Data Engineering

About the Role

We are seeking a highly skilled Senior Data Scientist to 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 such as financial articles, books, and research papers. This role requires 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 scalable, efficient data pipelines for processing unstructured data for AI/LLM models.
• Unstructured Data Processing: Extract and preprocess text from various sources for AI/LLM analytics.
• ETL & Data Engineering: Develop ETL processes to ingest and transform data into a unified format.
• Data Quality Assurance: Implement validation and anomaly detection to ensure data integrity.
• Collaboration: Work with quant researchers, AI/ML engineers, and trading teams to facilitate data flow.
• Automation & Optimization: Automate data ingestion, transformation, and storage for scalability.

Requirements

• Strong academic background in Data Science, Machine Learning, Artificial Intelligence, or related fields.
• Experience in building and optimizing data pipelines and workflows.
• Proficiency in Python, SQL, and ML libraries (TensorFlow, PyTorch, scikit-learn, etc.) and at least one Object-Oriented Programming (OOP) language (e.g., Rust, C++, C#).
• Hands-on experience with LLMs, NLP techniques, and AI-driven data processing.
• Experience with financial datasets and understanding market data structures is preferred.
• Knowledge of APIs, cloud computing (AWS, GCP, Azure), and database management.
• Strong problem-solving skills for complex data projects.

Nice to Have

• Background in quantitative finance or trading research.
• Experience in real-time data processing and streaming architectures.
• Exposure to cryptocurrency markets.

Additional Notes

Managed by Matchtech, a STEM Recruitment Specialist with over 40 years of experience.

Please note that if you are not a passport holder of the country for the vacancy, a work permit may be required. Check our Blog for more information.

Applications should be made via the 'Apply now' button. Bank or payment details should not be provided during application.

Created on 17/05/2025 by TN, United Kingdom