At a Glance
- Tasks: Design and prototype data-driven product features that make a real impact.
- Company: Join a fast-growing B2B SaaS business blending behavioural science with data.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a small, ambitious team pushing the boundaries of data-driven marketing.
- Why this job: Shape innovative products and influence major consumer brands with your data insights.
- Qualifications: Strong Python skills and ability to translate business needs into data solutions.
The predicted salary is between 40000 - 50000 £ per year.
Data Scientist - Bristol (Hybrid 3 days office) Full-time Permanent
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)
Product-Focused Data Scientist (Python). Job in Bristol LilyLifestyle Jobs in Woodford employer: United Cerebral Palsy of Georgia
Join a dynamic and innovative B2B SaaS company in Bristol, where your role as a Product-Focused Data Scientist will not only allow you to leverage your Python skills but also directly influence the development of cutting-edge products that blend behavioural science with data analytics. With a hybrid work model, a collaborative culture, and ample opportunities for professional growth, this is an exciting chance to be part of a fast-growing team that values your insights and contributions in shaping impactful solutions for major consumer brands.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Product-Focused Data Scientist (Python). Job in Bristol LilyLifestyle Jobs in Woodford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 data science projects, especially those that highlight your Python prowess. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. Think about how you can translate complex data insights into clear, engaging stories that resonate with both technical and non-technical audiences.
✨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, it shows you’re genuinely interested in joining our team and contributing to our exciting product journey.
We think you need these skills to ace Product-Focused Data Scientist (Python). Job in Bristol LilyLifestyle Jobs in Woodford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your Python skills and any experience with data-driven product features. We want to see how your background aligns with our needs!
Showcase Your Projects:Include examples of past projects where you've turned complex data into actionable insights. This is your chance to demonstrate your ability to build scalable solutions, so don’t hold back!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the role. We appreciate a well-structured application that gets to the point!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for this exciting opportunity in Bristol!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills, especially with libraries like pandas and seaborn. Be ready to discuss how you've turned complex data into actionable insights in previous roles. This will show that you can translate business needs into structured data science problems.
✨Understand the Product and Market
Do your homework on the company’s product and its impact on consumer behaviour. Familiarise yourself with their B2B SaaS model and think about how your skills can help shape the product roadmap. This will demonstrate your genuine interest and proactive mindset.
✨Prepare for Cross-Functional Collaboration
Since this role involves working closely with Product, Engineering, and Customer Success teams, be ready to share examples of how you've successfully collaborated across different departments. Highlight your communication skills and ability to present insights to both technical and non-technical audiences.
✨Showcase Your Problem-Solving Skills
Think of specific instances where you've designed and prototyped data-driven features. Be prepared to discuss how you gathered customer feedback and used it to influence product direction. This will illustrate your ability to turn insights into scalable solutions.
