Data Scientist

JR United Kingdom; London; On-site; GBP 150,000 - 200,000; Full time

Job summary

An innovative firm is seeking skilled Data Scientists to develop churn and propensity models that significantly impact business outcomes. In this role, you will leverage your expertise in Python and SQL to analyze customer behavior and deliver actionable insights. You'll work on high-profile projects, collaborating with cross-functional teams to drive performance for major clients. If you're passionate about data-driven results and thrive in a dynamic environment, this is an exciting opportunity to make a tangible difference in the success of key accounts.

Qualifications

• Experience in building predictive models and analyzing customer behavior.
• Ability to work with large datasets and extract valuable insights.

Responsibilities

• Develop churn and propensity models to predict customer behavior.
• Collaborate with teams to implement insights and measure impact.

Skills

Python

NumPy

Pandas

SQL

Data Modeling

Data Analysis

Machine Learning

Job description

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Job Title: Data Scientist (Churn and Propensity Models)

Role Overview:
This client is a global leader in online food and retail delivery services. They are looking for 3-4 skilled Data Scientists to join their team and focus on developing churn and propensity models with an immediate impact on business outcomes. The ideal candidate will be experienced in building predictive models, using data science techniques to analyse customer behaviour, and will work closely with stakeholders to drive business performance.

Key Responsibilities:

Develop churn and propensity models to predict customer behaviour and drive actionable insights.

Work on a project aimed at increasing uplift for key accounts such as McDonald's within a 3-month time-frame.

Deliver 9 churn models by the end of the project (collective).

Measure the impact of churn models on trade and provide clear, actionable results.

Collaborate with cross-functional teams and stakeholders to ensure the implementation of insights.

Technical Skills:

Proficiency in Python (NumPy, Pandas) and SQL.

Solid experience with data modeling, data analysis, and machine learning techniques.

Ability to work with large datasets and extract valuable business insights.

Duration:
Initial 3-month contract.

Location:
London-based, hybrid working.

Why Join:
Be a key player in building impactful churn models that directly influence trade performance, and make a visible difference in the success of major client accounts. If you thrive in a fast-paced environment and are passionate about data-driven results, this is the role for you!