Data Scientist

Harnham; London; Remote; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm is seeking a mid-level Data Scientist to join a fast-paced project centered on predictive analytics. This role offers the chance to refine algorithms and build new models that significantly enhance business performance. You'll work with large datasets using Python and SQL, communicating insights effectively to both technical and non-technical stakeholders. If you're a self-starter ready to make an impact in a remote-first environment, this opportunity is perfect for you.

Qualifications

• Solid hands-on experience in predictive analytics, especially around propensity modelling.
• Strong technical skills in Python and SQL.

Responsibilities

• Analyse and improve an existing predictive algorithm.
• Develop new models focusing on propensity and churn prediction.

Skills

Predictive Analytics

Python

SQL

Churn Analysis

Propensity Modelling

Communication Skills

Tools

Pandas

Scikit-learn

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Senior Recruitment Consultant - Digital Analytics

We are looking for a mid-level Data Scientist to join a fast-moving project focused on predictive analytics. This is an opportunity to make a real impact - refining existing algorithms and building new models to improve business performance.

The Role:

Analyse and improve an existing predictive algorithm.

Develop new models focusing on propensity and churn prediction.

Work with large datasets using Python and SQL.

Communicate findings clearly and collaborate with technical and non-technical stakeholders.

What We're Looking For:

Solid hands-on experience in predictive analytics, especially around propensity modelling and churn analysis.

Strong technical skills in Python (Pandas, Scikit-learn, etc.) and SQL.

Excellent communication skills - able to explain complex insights clearly.

Self-starter attitude with the ability to work independently in a remote-first environment.

Available to start immediately.

Details:

Location: Remote-first (occasional visits to a Central London office)

Duration: 6 months

Please reach out to Grace McCrudden at Harnham for more information

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Data Infrastructure and Analytics

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