Applied Data Scientist
Posted Today by Morgan McKinley
Negotiable
Inside
Hybrid
City of London
Summary: The Applied Data Scientist role focuses on shaping data-driven commercial strategies within a global Education business. The position involves building market intelligence and predictive analytics models to enhance customer growth and revenue planning. The successful candidate will collaborate with various stakeholders to optimize commercial performance through advanced analytics. This is a hybrid role based in London or Reading on an initial 6-month contract.
Key Responsibilities:
- Design and deliver sophisticated rSAM (Remaining Sales Addressable Market) models to quantify untapped revenue opportunities across global education markets.
- Partner with commercial and product stakeholders to understand complex education-sector dynamics, including subscription models, institutional procurement structures and consortium purchasing behaviours.
- Build scalable end-to-end data pipelines incorporating customer attributes, behavioural signals and predictive model outputs.
- Develop and enhance propensity models to optimise customer acquisition and education-focused sales strategies.
- Deliver strategic insights and market opportunity analysis to senior leadership, supporting commercial planning and data-driven decision making.
- Translate complex analytical findings into clear, actionable business recommendations for both technical and non-technical audiences.
Key Skills:
- Experience within Data Science, Analytics Engineering or Commercial Data environments.
- Advanced SQL expertise, ideally working with large-scale datasets within Databricks or similar modern data platforms.
- Strong Python skills for data manipulation, statistical analysis and predictive modelling.
- Proven experience developing and optimising predictive analytics or revenue-driving data science models.
- Experience with propensity modelling or customer growth modelling would be highly beneficial.
- Strong stakeholder engagement skills with the ability to communicate complex insights clearly to senior business audiences.
- Comfortable operating within fast-paced, evolving environments with multiple cross-functional stakeholders.
Salary (Rate): £435pd
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
Detailed Description From Employer:
Applied Data Scientist - Commercial Analytics & Market Intelligence
Initial 6 month contract | London or Reading - hybrid working | £350pd-£435pd inside IR35
We're partnering with a global organisation seeking a Data Science Engineer to play a key role in shaping data-driven commercial strategy across their Education business. This is a highly impactful opportunity focused on building sophisticated market intelligence and predictive analytics models that directly influence go-to-market strategy, customer growth and long-term revenue planning.
The role sits within a cross-functional environment working closely with Product Marketing, Sales Strategy, Data Engineering and senior business stakeholders to identify untapped market opportunities and optimise commercial performance through advanced analytics and scalable data solutions.
What you'll be doing:
- Design and deliver sophisticated rSAM (Remaining Sales Addressable Market) models to quantify untapped revenue opportunities across global education markets.
- Partner with commercial and product stakeholders to understand complex education-sector dynamics, including subscription models, institutional procurement structures and consortium purchasing behaviours.
- Build scalable end-to-end data pipelines incorporating customer attributes, behavioural signals and predictive model outputs.
- Develop and enhance propensity models to optimise customer acquisition and education-focused sales strategies.
- Deliver strategic insights and market opportunity analysis to senior leadership, supporting commercial planning and data-driven decision making.
- Translate complex analytical findings into clear, actionable business recommendations for both technical and non-technical audiences.
What they're looking for:
- Experience within Data Science, Analytics Engineering or Commercial Data environments.
- Advanced SQL expertise, ideally working with large-scale datasets within Databricks or similar modern data platforms.
- Strong Python skills for data manipulation, statistical analysis and predictive modelling.
- Proven experience developing and optimising predictive analytics or revenue-driving data science models.
- Experience with propensity modelling or customer growth modelling would be highly beneficial.
- Strong stakeholder engagement skills with the ability to communicate complex insights clearly to senior business audiences.
- Comfortable operating within fast-paced, evolving environments with multiple cross-functional stakeholders.
This role would suit someone who enjoys combining deep technical data expertise with commercially focused problem solving and strategic business impact.
