Senior Data Scientist

ZipRecruiter; England; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

An innovative investment firm is seeking a Senior Data Scientist to join their tech-forward quant research team. In this dynamic role, you will leverage your expertise in machine learning and data mining to build scalable data platforms and intelligent models that drive sustainable investment strategies. Collaborating with a diverse team of technologists and analysts, you will explore emerging technologies and contribute to impactful research. This position offers a unique opportunity to work at the intersection of technology and finance, making a real-world impact while pushing the boundaries of what's possible in data science.

Qualifications

• Deep experience in machine learning and data mining from unstructured sources.
• Strong coding ability in Python and familiarity with scalable data platforms.

Responsibilities

• Develop scalable data infrastructure and AI models for sustainable investment.
• Build real-time data pipelines and apply advanced machine learning techniques.

Skills

Machine Learning

Natural Language Processing (NLP)

Data Mining

Python Programming

Cloud Environments

Education

PhD in Computer Science

PhD in Quantitative Finance

Tools

Kafka

SQL

DevOps

Microservices

Job description

Job Description

Investment Firm

• Build cutting-edge investment signals with real-world impact.
• Work at the intersection of quant, sustainability, and tech.
• Combine research, engineering, and publishing in one role.

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 £70,000 - £100,000 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.