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Senior Data Scientist

ADLIB Recruitment | B Corp™

Greater London

Hybrid

GBP 70,000 - 100,000

Full time

2 days ago
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Job summary

Join a forward-thinking investment firm as a Senior Data Scientist, where you'll work at the intersection of technology and sustainability. This innovative role involves designing intelligent systems that analyze large-scale data to uncover actionable insights. Collaborate with a talented team to push the boundaries of research and technology while contributing to impactful investment strategies. With a competitive salary and a hybrid work model, this is an exciting opportunity for those passionate about making a real-world impact through data science.

Qualifications

  • PhD or equivalent experience in Computer Science or related fields.
  • Deep experience with machine learning and data mining from unstructured sources.

Responsibilities

  • Develop scalable data infrastructure and AI models for sustainable investment strategies.
  • Design and build real-time data pipelines and mine alternative datasets.

Skills

Machine Learning
Natural Language Processing (NLP)
Data Mining
Python Programming
Cloud Environments
Data Pipeline Tools

Education

PhD in Computer Science
Equivalent Experience in Quantitative Finance

Tools

Kafka
SQL
DevOps
Microservices

Job description

ADLIB Recruitment | B Corp provided pay range

This range is provided by ADLIB Recruitment | B Corp. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from ADLIB Recruitment | B Corp

Lead Senior Data Recruiter at ADLIB - B Corp Certified - Ambassador at MotherBoard

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.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Analyst, Information Technology, and Other
Industries
  • Investment Management, Financial Services, and Investment Banking

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