Data Science Engineer

Salary :

£500 - 600 daily

Company : Morgan Mckinley

Job Type : Contract

London

Job Description - Data Science Engineer

Data Science Engineer

Rate: £570 per day (Umbrella)
Duration: 6 months (maternity cover)
Location: Reading or Shoreditch
Hybrid: 2-3 days onsite initially (first 1-2 months), Greater flexibility thereafter
Working pattern: Full time, 9-5, collaboration with US West Coast teams & occasional meetings after 5pm (flexible start the following day)

A global technology organisation is seeking a Data Science Engineer to join its commercial analytics team on a 6-month maternity cover contract.

This role sits at the intersection of data science and data engineering, focusing on building predictive models that identify revenue opportunities while also developing the underlying data pipelines that support them.

You'll work closely with commercial stakeholders across the US West Coast, helping turn complex customer and sales data into actionable insights that support sales strategy and growth initiatives.

Key Responsibilities

Build and maintain propensity and predictive models to identify revenue growth opportunities within the customer base
Analyse large commercial datasets to identify patterns, performance gaps and opportunities
Develop and maintain data pipelines that support model development and data workflows
Evaluate and improve the performance of predictive models and identify areas for optimisation
Work autonomously to design, test and implement scalable data science solutions
Collaborate with data engineering teams to productionise models and ensure data reliability
Translate analytical findings into insights that support sales and commercial decision making
Engage with global stakeholders, including teams based in the US West Coast

Key Requirements

5+ years' experience in data science, machine learning, or analytics engineering roles
Strong SQL expertise (core requirement) for querying and manipulating large datasets
Strong Python experience for machine learning and modelling
Proven experience building predictive or propensity models
Experience developing data pipelines or working closely with data engineering workflows
Ability to work autonomously in a fast-paced environment
Experience with Databricks highly desirable
Experience presenting insights to non-technical stakeholders is beneficial

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Data Science Engineer

Job Description - Data Science Engineer

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