Data Scientist - AI & Innovation Team in London

Contract type: Permanent

Contract hours: Full-time

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

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

About the Role

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.

What You’ll Do

• AI & Product Innovation: 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.
• Search & Discovery Optimisation: 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.
• Experimentation & Insights: 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 behaviour. Utilise our extensive data infrastructure to uncover insights that drive the AI product roadmap forward.

Tech Stack Includes:

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

Requirements

• Experience: Minimum 3 years of post-degree 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.

Unfortunately we are not currently able to consider candidates who have visa requirements or who require sponsorship.

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.

Benefits

• Reward: Our package which includes a competitive salary, stock options (we are all owners!) and a contributory pension scheme.
• Wellbeing: Enhanced maternity and paternity leave; 25 days paid holiday per year plus 8 bank holidays; 3 paid volunteer days/year; Summer hours through July and August (we finish at 4pm on a Friday); and a full programme of wellbeing activities and events.
• Hybrid working: We are a fully hybrid company - half our workforce is remote. With employees located in different time zones, we embrace asynchronous work and ensure that everything we do reflects the hybrid nature of our workforce so that everyone feels included.
• Flexible working: For those working out of our London office, we have a flexible working policy which means you can work from home 2 days per week (usually Mondays and Fridays); shift your working hours, flex around ad hoc family commitments, and work from a remote location for up to 5 days per year.
• Diversity & inclusion: We are committed to hiring a diverse workforce and creating an environment where everyone feels included and welcome.
• Training: Learning and development is an important pillar of our culture and there are plenty of opportunities to learn, develop and grow.
• Fun stuff: We have a packed social calendar, twice annual global team get-togethers and an enviable culture thanks to the amazing and smart people who make Adzuna a great place to work.

We treat jobseekers as people not as products. We do the same for our team, seeing the diverse range of strengths they bring to our business. Regardless of background, race, gender, sexuality or ability, we welcome everyone to our team. Our people are the most important asset we have. Please let us know if we need to accommodate a disability during the hiring process, so that we can give you the support you need.