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Adecco

Data Scientist - Product focused (Python)

Adecco Bristol
32 - 40 hour


Show Recently closed jobs

    Adecco

    Data Scientist - Product focused (Python)

    Adecco Bristol
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    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)
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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