AI & Data Scientist

Exiger
City of London
4 months ago
Applications closed

Related Jobs

View all jobs

AI Data Scientist: Shape AI-Driven Data Pipelines

AI Data Scientist — Drive Real-World Impact with ML

Remote Data Scientist - AI Data Trainer (Masters)

AI Data Scientist: Training & Evaluation (Remote)

AI Data Scientist: Training & Evaluation (Remote)

Remote Data Scientist - AI Data Trainer (Masters)

Join to apply for the AI & Data Scientist role at Exiger

Join to apply for the AI & Data Scientist role at Exiger

We are seeking a highly skilled and innovative AI Data Scientist to join our team focused on revolutionizing supply chain discovery and risk analysis. As part of our advanced Data Science and AI group, you will develop and deploy cutting-edge machine learning solutions that uncover hidden risks, enable due diligence, and enhance transparency across global supply chains among other applications.

Key Responsibilities:

  • Design and implement graph-based machine learning models to map and analyse complex supply chain networks.
  • Develop and fine-tune Large Language Models (LLMs) for extracting and synthesizing supply chain-related data from diverse text sources.
  • Build and optimize Graph RAG models
  • Create predictive models to identify risk factors and forecast disruptions within supply chains.
  • Collaborate with cross-functional teams including data engineers, product managers, and domain experts.
  • Contribute to the development of Agentic AI systems for dynamic and autonomous supply chain analysis and decision-making.
  • Provide technical leadership in AI and Data Science, and engage with the company’s R&D culture
  • Contribute to potential publications and/or IP patents


Professional Experience Required:

  • Strong and proven programming skills (Python preferred, but other languages may also be considered).
  • Proven experience with graph theory and graph ML algorithms (e.g., GNNs, GraphRAG, link prediction).
  • Hands-on expertise with LLMs (and transformers-based models) and transfer learning, model fine-tuning, and prompt engineering.
  • Strong background in building and deploying predictive ML models in production environments.
  • (Bonus) PhD-level (or post-graduate research) experience in Computer Science, Machine Learning, Data Science, or a related quantitative field.
  • (Bonus) Relevant publications in top venues in the field.
  • (Bonus) Familiarity with agent-based systems and multi-agent AI frameworks (e.g. LangGraph, CrewAI) (e.g. LangGraph, CrewAI)


We're an amazing place to work. Why?

  • Discretionary Time Off for all employees, with no maximum limits on time off
  • Industry leading health, vision, and dental benefits
  • Competitive compensation package
  • 16 weeks of fully paid parental leave
  • Flexible, hybrid approach to working from home and in the office where applicable
  • Focus on wellness and employee health through stipends and dedicated wellness programming
  • Purposeful career development programs with reimbursement provided for educational certifications


Exiger is revolutionizing the way corporations, government agencies and banks manage risk and compliance with a combination of technology-enabled and SaaS solutions. In recognition of the growing volume and complexity of data and regulation, Exiger is committed to creating a more sustainable risk and compliance environment through its holistic and innovative approach to problem solving. Exiger's mission to make the world a safer place to do business drives its award-winning AI technology platform, DDIQ, built to anticipate the market's most pressing needs related to evolving ESG, cyber, financial crime, third-party and supply chain risk. Exiger has won 30+ AI, RegTech and Supply Chain partner awards.

Exiger’s core values are courage, excellence, expertise, innovation, integrity, teamwork and trust.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Exiger’s hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at Exiger by 2x

Get notified about new Data Scientist jobs in London, England, United Kingdom.

London, England, United Kingdom 3 weeks ago

Associate Data Scientist, Growth Analytics

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Data Scientist, Marketing Insights and Analytics

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Data Scientist – Data Science Analytics and Enablement (DSAE)

London, England, United Kingdom 3 days ago

London, England, United Kingdom 21 hours ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 2 days ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 week ago

Data Scientist – Experimentation & Measurement

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 22 hours ago

London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 3 days ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.