Data Science Consultant
Posted 1 week ago by The Change Partners - Global talent specialists for a connected world
Negotiable
Outside
mostly remote
London Area, United Kingdom
Summary: The role of Data Science Consultant involves bridging the gap between complex data science and sports marketing strategy for a global leader in the Insurance and Financial Services sector. The consultant will focus on demonstrating the value of sponsorship investments through data modeling and will serve as a strategic educator for internal leadership. This position includes a two-phase engagement, transitioning from strategic advising to implementing a permanent valuation framework. The consultant is expected to establish best practices in sponsorship measurement and develop robust models to attribute value to sports activations.
Key Responsibilities:
- Act as the internal expert to challenge existing assumptions regarding sponsorship impact.
- Establish best practices for sponsorship measurement, focusing on econometric rigor.
- Identify and extract key data points across various business units.
- Build a robust Marketing Mix Model (MMM) and ROI framework for sports activations.
- Ensure the framework is scalable for future sponsorship investments.
Key Skills:
- Deep experience in Marketing Mix Modeling (MMM) with a focus on sponsorship.
- Technical expertise in SQL, R, and Python.
- Commercial acumen to advise C-suite stakeholders.
- Experience in Finance/Insurance or Data/Intelligence units of major media agencies.
- Ability to translate data insights into actionable strategies for marketing and finance teams.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: mostly remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
Contract Position - 6 months Outside IR35 Mostly Remote, occasional office
Our client is working with a global leader in the Insurance and Financial Services sector, which is the headline sponsor for a premier high-profile sports property. We are seeking a high-level Freelance Consultant or Economic Statistician to bridge the gap between complex data science and sports marketing strategy. We’re looking for someone to mission-prove the tangible, bottom-line value of sponsorship investments through rigorous data modelling. This is a high-impact, two-phase engagement. You will initially serve as a strategic educator and sounding board for internal leadership, with the project transitioning into a long-term implementation phase to build a permanent valuation framework.
Your responsibilities:
- Act as the internal expert to challenge existing assumptions and provide context on how sponsorship truly moves the needle.
- Best-in-Practice: Establish the gold standard for sponsorship measurement, moving the brand away from vanity metrics toward econometric rigour.
- Data Navigation: Identify and extract key data points across disparate business units.
- Model Development: Build a robust Marketing Mix Model (MMM) and ROI framework specifically designed to attribute value to the September sports activations.
- Integration: Ensure the framework is scalable and can be utilised for future long-term sponsorship investments.
What we’re looking for:
- Econometrics Mastery: Deep experience in MMM, specifically in environments where Sponsorship is a core variable.
- A hybrid between a technical data expert who possesses the commercial acumen to advise C-suite stakeholders.
- Sector Expertise: Experience within Finance/Insurance (client-side) or within the Data/Intelligence units of major networked Media Agencies.
- Technical Stack: Proficiency in SQL , R , and Python is essential for navigating the data architecture.
- Strategic Mindset: Ability to translate "data speak" into actionable insights for marketing and finance teams.