At a Glance
- Tasks: Join our AI & Innovation Team to optimise job search experiences and build recommendation systems.
- Company: Dynamic tech company focused on AI-driven solutions in HR.
- Benefits: Competitive salary, stock options, flexible working, and generous holiday allowance.
- Other info: Inclusive culture with opportunities for growth and a vibrant social scene.
- Why this job: Make a real impact with cutting-edge AI tools and collaborate with talented professionals.
- Qualifications: 3+ years in data science, strong Python skills, and LLM expertise required.
The predicted salary is between 50000 - 60000 £ per year.
Contract type: Permanent
Contract hours: Full-time
Location: Fulham, SW London (Hybrid, 3 days in office)
We have a suite of AI‑powered tools (ValueMyCV, Prepper, Jobsworth, ApplyIQ) built by a small Data Science team. We are continually improving and building new AI‑powered tech in a fast, commercially oriented environment.
About the Role
This is a fantastic opportunity for a mid‑level Data Scientist to join our AI & Innovation Team. 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 across disciplines, learning from and sharing 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 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.
What You’ll Do
- 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, QuickSight
Languages & Frameworks: Python, Spark, TensorFlow, LLMs & LLM coding tools
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.
Reward
Our package 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 per year;
- Summer hours through July and August (we finish at 4 pm on a Friday);
- 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. In addition, we have a travel programme, to help facilitate effective hybrid working.
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. Our D&I committee helps deliver a programme of activities and actions to support this important area.
Training
Learning and development is an important pillar of our culture and there are plenty of opportunities to learn, develop and grow whether through our Adzuna Academy training programme, attending conferences, team training budgets, individual development plans and coaching from experienced and supportive peers and managers.
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. Lots of this is done virtually to ensure that everyone is included.
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.
Proud member of the Disability Confident employer scheme.
Data Scientist - AI & Innovation employer: Adzuna
At Adzuna, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our AI & Innovation Team. Located in Fulham, SW London, our hybrid working model allows for flexibility while providing ample opportunities for professional growth through training programmes and diverse projects. With competitive benefits including stock options, generous leave policies, and a commitment to diversity and inclusion, we ensure that every team member feels valued and empowered to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - AI & Innovation
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We think you need these skills to ace Data Scientist - AI & Innovation
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
