

The Change Partners
Data Science Consultant
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Science Consultant contract position for 6 months, mostly remote. Key skills include econometrics mastery, proficiency in SQL, R, and Python, and a strategic mindset to advise C-suite stakeholders in the insurance and financial services sector.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
March 4, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Outside IR35
-
π - Security
Unknown
-
π - Location detailed
London Area, United Kingdom
-
π§ - Skills detailed
#Python #R #"ETL (Extract #Transform #Load)" #Data Science #Leadership #Strategy #Data Architecture #SQL (Structured Query Language) #Scala
Role description
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. Weβre 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:
β’ Act as the internal expert to challenge existing assumptions and provide context on how sponsorship truly moves the needle.
β’ Best-in-Practice: Establish the gold standard for sponsorship measurement, moving the brand away from vanity metrics toward econometric rigour.
β’ Data Navigation: Identify and extract key data points across disparate business units.
β’ Model Development: Build a robust Marketing Mix Model (MMM) and ROI framework specifically designed to attribute value to the September sports activations.
β’ Integration: Ensure the framework is scalable and can be utilised for future long-term sponsorship investments.
What weβre looking for:
β’ Econometrics Mastery: Deep experience in MMM
β’ A hybrid between a technical data expert who possesses the commercial acumen to advise C-suite stakeholders.
β’ Technical Stack: Proficiency in SQL, R, and Python is essential for navigating the data architecture.
β’ Strategic Mindset: Ability to translate "data speak" into actionable insights for marketing and finance teams.
β’ Commercial focused: Ability to resolve real business challenges in understanding the effectiveness of marketing spend
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. Weβre 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:
β’ Act as the internal expert to challenge existing assumptions and provide context on how sponsorship truly moves the needle.
β’ Best-in-Practice: Establish the gold standard for sponsorship measurement, moving the brand away from vanity metrics toward econometric rigour.
β’ Data Navigation: Identify and extract key data points across disparate business units.
β’ Model Development: Build a robust Marketing Mix Model (MMM) and ROI framework specifically designed to attribute value to the September sports activations.
β’ Integration: Ensure the framework is scalable and can be utilised for future long-term sponsorship investments.
What weβre looking for:
β’ Econometrics Mastery: Deep experience in MMM
β’ A hybrid between a technical data expert who possesses the commercial acumen to advise C-suite stakeholders.
β’ Technical Stack: Proficiency in SQL, R, and Python is essential for navigating the data architecture.
β’ Strategic Mindset: Ability to translate "data speak" into actionable insights for marketing and finance teams.
β’ Commercial focused: Ability to resolve real business challenges in understanding the effectiveness of marketing spend





