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 City of London
new


Show Recently closed jobs

    H

    Data Scientist

    Harnham City of London
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    Job description

    Data Scientist

    London (2 days per week onsite) | Up to £65,000


    Looking for a Data Scientist role where you can combine advanced analytics with meaningful client engagement? This is an opportunity to join a well-established data and analytics organisation, delivering predictive modelling solutions and helping organisations make better decisions through data. You'll work across a variety of projects, shaping analytical outcomes while collaborating with both technical and non-technical stakeholders.


    The Company

    They are a leading data and analytics business that combines consultancy expertise with proprietary data products. Working across sectors including utilities, financial services, telecommunications, and the not-for-profit space, they help organisations unlock value from their data through advanced analytics, modelling, and insight generation.

    With a strong focus on innovation and practical application, they provide data-driven solutions that support customer engagement, marketing effectiveness, and business performance.


    The Role

    As a Data Scientist, you will be responsible for designing, building, and deploying predictive models that solve real-world business challenges.

    Key responsibilities include:

    • Building and refining predictive models, including propensity and scoring models
    • Analysing large datasets to identify trends, opportunities, and actionable insights
    • Working closely with clients to understand commercial challenges and project objectives
    • Leading data discovery sessions with business stakeholders and subject matter experts
    • Presenting analytical findings and recommendations to both technical and non-technical audiences
    • Collaborating with Project Managers, Data Analysts, and industry specialists throughout project delivery
    • Contributing to the development and optimisation of analytics products and solutions
    • Supporting model monitoring, validation, and continuous improvement activities


    Your Skills & Experience

    • Strong commercial experience using Python and SQL
    • Experience building predictive, propensity, classification, or scoring models
    • Ability to analyse complex datasets and translate findings into business recommendations
    • Experience presenting insights and recommendations to stakeholders or clients
    • Strong communication skills with the confidence to engage directly with customers
    • Understanding of machine learning techniques and model development lifecycle
    • Experience working with Databricks would be highly advantageous
    • Exposure to cloud-based analytics environments, particularly Azure, is beneficial
    • Consultancy, agency, or client-facing analytics experience is desirable


    What They Offer

    • Salary up to £65,000
    • Hybrid working with 2 days per week in the London office
    • Exposure to a wide variety of industries and business challenges
    • Opportunity to work with large-scale datasets and advanced analytics projects
    • Strong collaboration across Data Science, Analytics, and Product teams
    • Clear opportunities to develop both technical and client-facing skills
    • A supportive environment that encourages continuous learning and professional growth


    How to Apply

    If you're a Data Scientist looking to work on impactful predictive modelling projects while developing your client-facing and technical expertise, apply today to find out more.

    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


    City of London England

    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