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- Tasks: Research and experiment with machine learning to improve model performance and influence product direction.
- Company: Fast-growing B2B SaaS business at the forefront of behavioural and data science.
- Benefits: Equity options, 25 days leave, training budget, personal tech allowance, and hybrid working.
- Other info: Join a high-trust team where curiosity and strong ideas are valued.
- Why this job: Shape a core product capability and see your research directly impact major brands.
- Qualifications: Strong Python skills, structured research experience, and a self-directed mindset.
The predicted salary is between 50000 - 70000 £ per year.
Are you a researcher who enjoys solving problems where the solution doesn't already exist? Do you like working at the intersection of machine learning, mathematical modelling, and real-world systems and want to see your work directly shape commercial products? If so, this could be a strong next step.
We're working with a fast-growing B2B SaaS business operating at the cutting edge of behavioural and data science. Their platform helps some of the world's most recognisable consumer brands understand complex human systems and make better decisions from them.
They're now looking for a dedicated ML / mathematical researcher to help evolve the core intelligence behind their product. This is a foundational hire in the research function - someone who will shape the next generation of their modelling capability.
The Opportunity
At the heart of the product is a behavioural and network-based modelling engine that underpins everything the company delivers to clients. This role will focus on improving, extending, and rethinking that engine - bringing in new research, testing novel approaches, and helping translate theory into scalable applied systems.
You'll be working closely with the founding team and senior stakeholders, including one of the co-founders (a PhD-level researcher), to ensure research outputs directly influence product direction and commercial impact. This is not a purely academic role, but it does require a research mindset: curiosity, rigour, and a willingness to explore uncharted technical territory.
What you'll be doing
- Researching and experimenting with new approaches to improve model performance
- Working with complex datasets, including behavioural and network-based structures
- Evaluating and comparing ML model performance using robust experimental design
- Incorporating academic research and theory into practical model architectures
- Designing and testing how model outputs can be applied to real business problems
- Contributing to the evolution of a core behavioural modelling system
- Translating research findings into product features in collaboration with engineering
- Supporting rollout of new capabilities into production systems and customer environments
- Helping prioritise future research directions based on data, users, and market needs
- Occasionally supporting external-facing or PR-driven research projects
What we're looking for
- Strong Python skills for ML and data science (e.g. pandas, scikit-learn, Keras)
- Experience conducting structured research on ML model performance
- Interest in network science and its real-world applications
- Ability to define technical problems from ambiguous requirements
- Strong ability to synthesise research from multiple sources and apply it practically
- Confidence communicating complex ideas to both technical and non-technical audiences
- A self-directed mindset - you explore, test, and drive ideas forward independently
- Strong documentation and experimental discipline
- Creativity in applying scientific or mathematical theory to real datasets
Nice to have
- Experience building production-ready ML systems
- Background in marketing effectiveness or attribution modelling
- Experience with social or network modelling
- Interest in behavioural science
- Geospatial or location-based data experience
- Docker or containerisation experience
- Linux / Bash familiarity
What's on offer
- Equity / stock options
- 25 days annual leave + public holidays
- Annual training budget
- Personal tech allowance
- Hybrid working (3 days in Bristol office)
- Opportunity to shape a core product capability from an early stage
Why this role?
This is a chance to step into a genuinely research-led environment where your work won't sit in isolation. Instead, it will directly influence a live product used by major consumer brands. You'll be joining a small, high-trust team where curiosity is valued as much as execution, and where strong ideas - if they work - can quickly become part of the core platform. If you're someone who enjoys combining theory, experimentation, and real-world impact, this is one worth exploring.
Apply by sending your CV to (url removed)
Data Science Machine Learning Reseacher employer: Adecco
Contact Detail:
Adecco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Machine Learning Reseacher
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and data science. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data science and machine learning. Think about how you can demonstrate your problem-solving skills and research mindset during these discussions.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Machine Learning Reseacher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your Python skills, research experience, and any relevant projects that showcase your ability to tackle complex problems.
Showcase Your Research Mindset: In your application, emphasise your curiosity and willingness to explore uncharted territories in machine learning. Share examples of how you've approached ambiguous problems and turned them into actionable insights.
Communicate Clearly: Remember, you’ll be working with both technical and non-technical folks. Use clear language to explain your ideas and findings, making it easy for everyone to understand the impact of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you on our radar quickly. Don’t miss out on this opportunity!
How to prepare for a job interview at Adecco
✨Know Your Research
Dive deep into the latest trends in machine learning and data science. Be prepared to discuss your previous research projects, especially those that involved complex datasets or novel approaches. This shows your passion and expertise in the field.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous problems in the past. Highlight your ability to define technical challenges and how you approached them. This will demonstrate your research mindset and creativity in applying theory to real-world scenarios.
✨Communicate Clearly
Practice explaining complex ideas in simple terms. You might be asked to present your findings to both technical and non-technical audiences, so being able to communicate effectively is key. Use analogies or visual aids if necessary to make your points clearer.
✨Be Curious and Engaged
Show genuine interest in the company's product and its impact on consumer brands. Ask insightful questions about their current modelling systems and future research directions. This not only demonstrates your enthusiasm but also your willingness to contribute to their mission.