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For Companies At a Glance
- Tasks: Design and prototype data-driven product features that make a real impact.
- Company: Fast-growing B2B SaaS business blending behavioural science with data.
- Benefits: Hybrid work model, competitive salary, and opportunity to shape innovative products.
- Other info: Exciting chance to work at the intersection of data science and marketing analytics.
- Why this job: Join a small team and directly influence product development with your data insights.
- Qualifications: Strong Python skills and ability to communicate insights to diverse teams.
The predicted salary is between 45000 - 55000 £ per year.
Are you a data scientist who thrives on turning complex data into real commercial impact? Do you enjoy building scalable, repeatable solutions rather than one-off analysis? Are you excited by the opportunity to shape a product from the ground up? If so, this could be your next move.
We're partnering with a fast-growing B2B SaaS business that blends behavioural science with cutting-edge data to help major consumer brands better understand and influence human behaviour. The product is already delivering strong results and now the team is scaling it to the next level.
This is a rare opportunity to step into a role where data science, product, and customer insight all meet. You'll be the key link between customers, product, and engineering - identifying valuable insights, shaping features, and helping embed them directly into a scalable SaaS platform.
The Role
You'll work closely with Customer Success to uncover what clients actually need from their data, translate that into structured data science problems, and then design and prototype features that can be rolled out across the platform. You'll also work directly with Product and Engineering to turn prototypes into production-ready features, while engaging with customers to validate ideas and refine direction. This is a highly visible role reporting into a Co-Founder, and will play a central part in shaping both the product roadmap and customer experience.
What you'll be doing
- Designing, prototyping, and testing data-driven product features
- Translating business and customer needs into data science problems
- Building clear, engaging data outputs that demonstrate value
- Working with Product & Engineering to scale solutions across a SaaS platform
- Presenting insights and prototypes to both technical and non-technical audiences
- Gathering and analysing customer feedback to influence product direction
- Supporting Customer Success and Marketing with customer value storytelling
- Helping prioritise product development based on data and customer insight
- Occasionally supporting client-facing delivery and professional services work
What we're looking for
- Strong Python skills for data science (pandas, seaborn, plotly)
- Experience turning data into clear, engaging business insights
- Confidence working across product, engineering, and customer teams
- Ability to translate business needs into structured technical requirements
- Strong communication skills, including presenting to non-technical stakeholders
- A proactive mindset - you don't wait to be told what to do
- Excellent organisation and attention to detail
Nice to have
- Experience building production-level code
- Background in marketing analytics or campaign data
- Product management exposure
- Experience with geospatial data
- A/B testing knowledge
- Docker or containerisation experience
- Linux / Bash familiarity
- Experience delivering training or customer enablement sessions
Why this role?
This is a chance to join a small but ambitious team building something genuinely novel in behavioural science and marketing analytics. The product already has strong traction, and the next stage is about scaling impact, deepening capability, and pushing the boundaries of what's possible in data-driven marketing.
If you want a role where your work directly shapes a product - and where data science sits at the heart of commercial value - this is one to explore.
Please apply by sending your CV to (url removed)
Data Scientist - Product focused (Python) in Gloucester employer: Adecco
Contact Detail:
Adecco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Product focused (Python) in Gloucester
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those that demonstrate your Python prowess. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Make sure you can explain your thought process clearly, especially when discussing how you translate business needs into data solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best 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 Scientist - Product focused (Python) in Gloucester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your Python expertise and any relevant projects that showcase your ability to turn data into actionable insights.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of how you've previously shaped products or influenced customer insights, and how that experience can benefit our team.
Showcase Your Communication Skills: Since you'll be presenting to both technical and non-technical audiences, demonstrate your communication prowess in your application. Use clear language and structure your thoughts logically to make it easy for us to see your potential.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting role in our growing team!
How to prepare for a job interview at Adecco
✨Know Your Python Inside Out
Make sure you're well-versed in Python, especially libraries like pandas, seaborn, and plotly. Be ready to discuss how you've used these tools to turn complex data into actionable insights in previous projects.
✨Understand the Product and Customer Needs
Before the interview, research the company’s product and think about how data science can enhance it. Prepare examples of how you've translated customer needs into structured data science problems in the past.
✨Practice Presenting Insights
Since you'll be presenting to both technical and non-technical audiences, practice explaining your data findings clearly and engagingly. Use simple language and visuals to convey your points effectively.
✨Show Your Proactive Mindset
Demonstrate your proactive approach by sharing instances where you took the initiative in previous roles. Highlight how you identified opportunities for improvement and acted on them without waiting for direction.