Data Scientist - Product focused (Python)

Adecco

Bristol, Bristol (county), United Kingdom

Today

£40,000 – £50,000 pa

Salary

£40,000 – £50,000 pa

Job Type: Permanent
Work Pattern: Full-time
Work Location: Hybrid
Seniority: Mid
Education: Degree
Posted: 6 May 2026 (Today)

Save job

Create job alert

Salary

£40,000 – £50,000 pa

Job Type: Permanent
Work Pattern: Full-time
Work Location: Hybrid
Seniority: Mid
Education: Degree
Posted: 6 May 2026 (Today)

Save job

Create job alert

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)

Related Jobs

View all jobs

Data Scientist

Harnham - Data & Analytics Recruitment London, United Kingdom

£50,000 – £65,000 pa Hybrid

Data Scientist

Faculty AI London, United Kingdom

Hybrid

Data Scientist

Vertical Aerospace Bristol, United Kingdom

Permanent

Data Scientist

Adaptable Recruitment Liverpool, United Kingdom

£50,000 – £60,000 pa Hybrid

Data Scientist

Searchability NS&D Cheltenham, United Kingdom

£45,000 – £75,000 pa Permanent Clearance Required

Data Scientist

Hays Technology London, United Kingdom

£600 – £1,000 pd

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Apr 5, 2026

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.