Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Sign up for Jobbird
An error occurred while opening the sign-up page. Please try again.

Loading window...

Forgot my password
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Log out
Unfortunately, something went wrong while signing out. Please try again.

Loading window...

Job application sent
Something went wrong while logging in. Please try again.
Something went wrong while signing up. Please try again.

Loading window...

logo
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Filters
Filters
Location and distance
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Jobs posted from
Salary from (per month)
Filters
How our sorting works

The order in which job vacancies are displayed is determined by a composite score based on the following factors:

  • Keyword Relevance: How well your search terms match the vacancy details. We prioritize matches found in the job title, followed by job requirements, location names, and educational levels. Matches within general employer information or the organization's name carry a lower weight.
  • Commercial Prioritization (Premium Jobs): Vacancies paid for by employers ('Premium' or 'Sponsored') receive a ranking boost and will appear higher in the search results.
  • Recency (Date Relevance): Newer vacancies are prioritized. The relevance score of a vacancy is reduced by half once the posting is older than 30 days.
  • Proximity (Distance Relevance): Vacancies located closer to your search location are ranked higher. For vacancies located more than 30 km from the search center, the relevance score is halved.
The final ranking is established by multiplying all these individual factors to calculate the total relevance score.

H

Data Scientist

Harnham


Show Recently closed jobs

    H

    Data Scientist

    Harnham
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    Job description

    Senior Decision Scientist (Data Science)

    Hybrid Working, Based in Brighton | Up to £90,000


    This is an opportunity to join a fast-growing, product-led technology business that is investing heavily in Data, AI and Machine Learning. Working within a highly collaborative data function, you'll help build data-driven products and machine learning solutions that directly influence customer experience, product development and commercial performance.


    The Company

    Our client is an international technology platform with a strong focus on innovation and data-driven decision-making. Data sits at the heart of the organisation, with significant investment in AI, experimentation and product development. The business is scaling its Decision Science capability and embedding data professionals closer to product teams to maximise business impact.


    The Role

    • Build and develop recommendation and personalisation models

    • Develop AI-powered products and customer-facing features

    • Apply machine learning techniques to solve complex business problems

    • Support experimentation through modelling, statistical testing and evaluation

    • Conduct feature engineering and feature analysis to improve model performance

    • Work closely with Product, Engineering and Analytics teams on high-impact initiatives

    • Build proof-of-concepts that demonstrate the value of AI and advanced analytics

    • Translate technical findings into actionable commercial recommendations

    • Help shape the future use of AI, machine learning and data products across the business


    Your Skills & Experience

    • Commercial experience within Data Science, Machine Learning or a similar role

    • Strong Python and SQL skills

    • Experience building machine learning models in a production environment

    • Strong understanding of statistics, experimentation and hypothesis testing

    • Experience with recommendation systems, personalisation or predictive modelling is beneficial

    • Strong commercial awareness and problem-solving capabilities

    • Ability to communicate technical concepts to both technical and non-technical audiences

    • Comfortable working in a fast-paced, product-led environment

    • Interest in AI, LLMs and emerging technologies


    What They Offer

    • Salary up to £90,000

    • Brighton-based hybrid working model, commutable from London

    • Office attendance currently 3 days per week, reducing to 2 days per week

    • Opportunity to work on cutting-edge AI and machine learning initiatives

    • Join a growing data team during a period of significant investment

    • High-impact role with strong exposure to product and commercial decision-making

    • Clear opportunities for career progression and development

    • Collaborative, innovative and highly data-driven culture


    How to Apply

    If you're excited by the opportunity to build impactful machine learning solutions within a product-focused environment, please apply with your CV.

    About the employer

    Harnham
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


    Vacancy actions

    Save as favorite
    Share vacancy
    Or apply later


    Jobs

    • Search for jobs
    • Jobs per location
    • Jobs per job profession
    • Jobs per employment
    • Jobs per educational attainment

    Jobbird

    • Switch to different region
    • Terms and Conditions
    © 2026 Jobbird