Data Scientist - AI & Innovation Team

Contract type:
Permanent

Contract hours:
Full-time

Location:

Fulham, SW London (Hybrid, 3 days in office)

Salary: £50k - £70k depending on experience

Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our office in West London, helping millions of people find better, more fulfilling jobs.

We already have a suite of AI-powered tools (such as ValueMyCV, Prepper, Jobsworth and ApplyIQ) built by our Data Science team of 3 and we’re continually looking to improve and build new AI powered tech.

We're a commercially minded team that moves fast, takes ownership and loves what we do.

This is a fantastic opportunity for a mid level Data Scientist to join our AI & Innovation Team and help us crack some of the hardest challenges facing job seekers and employers. You will play a pivotal role in optimising our platform, focusing heavily on delivering the best search experience possible and building world‑class job recommendation systems. You’ll be working in a small team alongside colleagues with skills in different disciplines - learning from them and also sharing your data science expertise.

We are constantly pushing the boundaries of what's possible in the HR tech space. Right now our team is driving innovative, cutting‑edge projects such as automated search‑and‑apply tools. Previously we’ve used our archive of over 4.5bn job vacancies to build proprietary ML models to estimate salaries from job descriptions  and also for CVs and resumes

• Design, build, and deploy production‑grade machine learning models to power our automated search and advanced personalisation tools.
• Develop and scale sophisticated recommendation systems to match tens of millions of job seekers with their perfect roles.
• Champion the use of Large Language Models (LLMs) within our core product offerings, moving prototypes into robust production applications.

• Continuous optimisation of our job search experience, leveraging advanced retrieval and ranking algorithms.
• Research, implement, and experiment with next‑generation search techniques to enhance relevance and accuracy for users globally.
• Collaborate with engineering teams to integrate data science models seamlessly into our tech stack.

• Design and execute rigorous A/B tests to validate new features, algorithms, and product iterations.
• Apply advanced statistical and probability theory to evaluate model performance and user behavior.
• Utilise our extensive data infrastructure to uncover insights that drive the AI product roadmap forward.

• AWS: EC2, Athena, S3, Kinesis, Lambda, Step Functions, RDS, Quick Sight
• Languages & Frameworks:
  Python, Spark, Tensor Flow, LLMs & LLM coding tools
• Databases & Search:
  MySQL, PostgreSQL, SOLR

• Experience:
  
  Minimum 3 years of commercial experience in a data science or machine learning role.
• Education:
  
  A technical degree at 2.1 or better (or equivalent) from a top university, with a background in a relevant discipline such as Computer Science, Engineering, Economics, or Mathematics.
• LLM expertise:
  Experience both coding LLMs into production applications and effectively utilising LLM coding tools in your daily workflow.
• Statistical rigour:
  Strong, foundational statistical knowledge.
• Execution: A record of writing clean, scalable Python code and deploying machine learning models into live, user‑facing environments.
• Mindset: A proactive and adaptable team player who can respond quickly as project requirements and technologies evolve.

Nice to have:

• Experience of agentic frameworks
• Experience with advanced search techniques, specifically Retrieval‑Augmented Generation (RAG) and vector search.
• Prior experience working within the online classified advertising or job board industry.
• An active personal website or Github account with examples of your work.
• A PhD in a relevant field of Machine Learning or Data Science.

• Reward:
  Our package which includes a competitive salary, stock options (we are all owners!) and a contributory…