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)
Closed vacancy

You are currently viewing a closed vacancy. You can no longer apply for this vacancy.

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.

Closed
H

Data Scientist

Harnham City of London
new


Show Recently closed jobs

    Closed vacancy

    You are currently viewing a closed vacancy. You can no longer apply for this vacancy.

    H

    Data Scientist

    Closed
    Harnham City of London
    new
    Status Closed
    Applications are no longer accepted

    What we ask

    Education

    No minimum education required

    Job description

    Data Scientist

    London (2 days per week)

    Up to £65,000


    This is an opportunity to join a leading data and analytics consultancy working on a wide variety of predictive modelling projects across utilities, telecommunications, financial services and customer insight. You'll have the chance to take ownership of projects, work directly with stakeholders and apply Data Science techniques to solve real commercial challenges.


    The Company

    They are a well-established data and analytics consultancy that combines proprietary data assets with advanced analytical expertise to help organisations make better decisions. Their work focuses on customer intelligence, predictive modelling and analytics solutions that deliver measurable business outcomes.

    Working across multiple industries, they partner with clients to solve challenges around customer acquisition, retention, collections, marketing effectiveness and operational performance. Their teams combine industry expertise, analytics and modern data platforms to deliver impactful solutions.


    The Role

    As a Data Scientist, you will develop predictive models and analytical solutions that support client decision-making and customer strategy.

    Responsibilities include:

    • Building machine learning models across use cases including propensity to pay, customer acquisition, churn prediction, lifetime value and segmentation
    • Developing classification, regression and clustering models using customer and transactional data
    • Working closely with clients and stakeholders to understand business problems and define analytical approaches
    • Leading data discovery sessions and gathering requirements from subject matter experts
    • Presenting insights, recommendations and model outputs to both technical and non-technical audiences
    • Monitoring, refining and retraining models to ensure ongoing performance
    • Collaborating with analysts, project managers and industry specialists to deliver client projects
    • Contributing to reports, dashboards and client presentations


    Your Skills & Experience

    • Strong commercial Data Science experience within predictive modelling
    • Advanced Python and SQL skills
    • Experience building classification, regression and clustering models from the ground up
    • Strong understanding of model performance, validation and optimisation
    • Confident communicating insights to technical and non-technical stakeholders
    • Experience with modern cloud and data platforms such as Databricks, AWS, Azure or Snowflake
    • Exposure to customer analytics, credit risk, collections, telecommunications or utilities is advantageous
    • Comfortable taking ownership of projects and working independently


    What They Offer

    • Salary up to £65,000
    • Hybrid working with two days per week in London
    • Exposure to a broad range of Data Science and machine learning projects
    • Direct client engagement and stakeholder exposure
    • Access to modern cloud and analytics technologies
    • Strong opportunities for technical and professional development
    • Collaborative and supportive working environment


    About the employer

    Harnham
    Applications are no longer accepted
    Applications are no longer accepted

    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