Data Scientist (Contract)

AND Digital Limited; Manchester; Hybrid; GBP 42,000 - 66,000; Full time

Job summary

AND Digital Limited is recruiting a Contract Data Scientist in Manchester to drive analytics for Sales, Marketing and Finance. You will turn business questions into measurable analytics use cases and build predictive models using Python/R, SQL, and Azure, surface insights in Power BI and CRM Analytics.

You will productionise data pipelines, collaborate with commercial teams to drive adoption and impact, and leverage advanced Power BI skills and ML experience.

Qualifications

• 2+ years’ applied data science experience in commercial analytics.
• Price elasticity modelling experience is a bonus.
• Strong Python or R, SQL, and Azure/Fabric experience.
• Advanced Power BI skills and experience operationalising models.
• Ability to communicate insights clearly to non-technical stakeholders.
• Machine learning experience.

Responsibilities

• Turn business questions into measurable analytics use cases and models.
• Build and deploy models (segmentation, churn, pricing, MMM, forecasting) using Python/R on Azure & Microsoft Fabric.
• Productionise data pipelines and surface insights in Power BI and Salesforce CRM Analytics.
• Partner closely with commercial teams to drive adoption and impact.

Skills

Data science

Python

R

SQL

Azure

Power BI

Tools

Azure Fabric

Job description

We are recruiting for a Contract Data Scientist to start ASAP. Ideally based in Manchester and comfortable with working central US time zones.
Who We Are:

AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014.

We believe our work should always make a remarkable impact for our clients. We do this through our regional offices (or ‘Clubs’) building strong relationships with our partners, so that they are always prioritised by a team within close proximity.

This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,300 people with Clubs all over the UK, Europe and the USA with plans for global expansion in the next couple of years.

Join us - and help us fulfil our mission to close the world’s digital skills gap.

We’re looking for a Data Scientist to drive commercial decision‑making across Sales, Marketing, and Finance for our client.

What you’ll do

• Turn business questions into measurable analytics use cases and models.
• Build and deploy models (segmentation, churn, pricing, MMM, forecasting) using Python/R on Azure & Microsoft Fabric.
• Productionise data pipelines and surface insights in Power BI and Salesforce CRM Analytics.
• Partner closely with commercial teams to drive adoption and impact.
  

What you’ll bring

• 2 + years’ applied data science experience in commercial analytics.

• Price Elasticity Modelling Experience is a bonus!
• Strong Python or R, SQL, and Azure/Fabric experience.
• Advanced Power BI skills and experience operationalising models.
• Ability to communicate insights clearly to non-technical stakeholders.
• Machine Learning Experience.
  

Equal Opportunities Statement

We are an equal opportunity employer and welcome applications from all qualified candidates. We actively encourage applications from women, ethnic minorities, and individuals with disabilities. We consider all flexible working arrangements, subject to the requirements of the role. Where reasonable adjustments are needed, we will strive to make changes to accommodate them.

AI Statement

We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.