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Data Scientist

Harnham - Data & Analytics Recruitment
Posted 3 days ago, valid for 6 hours
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The job title is Data Scientist (Churn Model Development) located in London with a hybrid work model.
  • This is a 3-month contract position inside IR35, offering a day rate of £450-£500.
  • The primary responsibility is to develop a 'Churn Mount Model' to enhance customer retention analysis.
  • Candidates should have experience in building and deploying churn and propensity models, with strong skills in Python or R.
  • Experience in retail or consumer industries is a bonus, and clear communication skills are essential.

Job Title: Data Scientist (Churn Model Development)Location: London (Hybrid)Contract: 3 Months (Inside IR35)Day Rate: £450-£500/day

We are looking for an experienced Data Scientist to help develop new churn models for a key project in London. This is a 3-month contract with a day rate of £450-£500 (inside IR35) and a chance to work on advanced predictive analytics in a supportive team environment.

About the Role:

Your main task will be to develop a "Churn Mount Model" to improve customer retention analysis. With a strong focus on propensity and churn models, your work will directly influence key business decisions. You will also support the development of other future models.

Key Responsibilities:
  • Develop and deliver the "Churn Mount Model" as the first priority.

  • Collect and refine requirements for future models and deliverables.

  • Work with stakeholders to design and deliver advanced predictive models.

  • Help recruit and onboard the right resources to support model development.

  • Collaborate with leadership to monitor budget approval and project progress.

  • Organise and lead meetings to track progress and align on next steps.

About You:
  • Experience building and deploying churn and propensity models.

  • Strong skills in Python, R, or similar data science tools.

  • Knowledge of machine learning and predictive analytics.

  • Ability to turn business needs into technical solutions.

  • Clear communication skills to work with a range of stakeholders.

  • Experience with uplift models or working in retail/consumer industries is a bonus.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.