Senior Data Scientist

ADLIB; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

A leading company is seeking a Senior Data Scientist to join their innovative quant research team in London. This role involves designing scalable data platforms and AI models to uncover insights from diverse data sources, contributing to sustainable investment strategies. Candidates should possess a PhD and deep experience in machine learning and data mining, along with strong coding skills in Python. The position offers a competitive salary and a hybrid working model.

Qualifications

• PhD or equivalent experience in relevant fields.
• Deep experience with machine learning, NLP, and data mining.
• Strong coding ability in Python; familiarity with cloud environments.

Responsibilities

• Develop scalable data infrastructure and AI models for sustainable investment strategies.
• Build real-time data pipelines and mine alternative datasets.
• Apply advanced machine learning techniques to drive portfolio construction.

Skills

Machine Learning

Natural Language Processing (NLP)

Data Mining

Python

Cloud Environments

Data Pipeline Tools

Education

PhD in Computer Science, Quantitative Finance, or related fields

Tools

Kafka

SQL

DevOps

Microservices

Job description

This is a fantastic opportunity to join a growing, tech-forward quant research team. As a Senior Data Scientist, you’ll be joining a collaborative and innovation-focused environment where you’ll help solve complex problems using modern AI and machine learning techniques. You’ll work on designing intelligent systems that uncover hidden signals in data and influence how assets are allocated.

What you’ll be doing:
This role is ideal for someone who’s motivated by research, enjoys working with large-scale data systems, and wants to contribute to real, measurable outcomes across different parts of a business. You’ll be encouraged to bring new ideas, explore emerging technologies, and push the boundaries of what’s possible.

You’ll help design and build scalable data platforms and intelligent models that deliver insights from diverse and often unstructured data sources. Whether it's creating pipelines, fine-tuning models, or publishing original research, your work will support a range of innovative projects.

The team combines technical depth with academic curiosity—so expect a mix of collaboration, experimentation, and real-world application. You'll be working alongside senior technologists, analysts, and domain experts in a space where research truly informs direction.

In this role, you’ll be responsible for developing scalable data infrastructure and AI models to support next-gen sustainable investment strategies. You’ll build real-time data pipelines, mine alternative and unstructured datasets, and apply advanced machine learning techniques to surface insights that drive portfolio construction.

What experience you’ll need to apply:

• PhD (or equivalent experience) in Computer Science, Quantitative Finance, or related fields
• Deep experience with machine learning, NLP, and data mining (especially from unstructured or alternative sources)
• Strong coding ability in Python; familiarity with cloud environments and scalable data platforms
• Experience with data pipeline tools (e.g. Kafka, SQL, DevOps, microservices)
• Prior publications, patents or research contributions

What you’ll get in return:
A salary of between £80,000 - £120,000 per annum and working on a hybrid basis in London.

What’s next?
Send across your CV and we’ll get in touch to talk through the opportunity in more detail.