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For Companies At a Glance
- Tasks: Lead advanced attribution modelling and deliver insights for a global education client.
- Company: Join a fast-growing consultancy focused on data science, AI, and machine learning.
- Benefits: Enjoy hybrid working options and a competitive day rate outside IR35.
- Why this job: Shape a critical function in a high-impact role with opportunities for growth and innovation.
- Qualifications: Deep expertise in econometrics and advanced attribution modelling required.
- Other info: Part-time contract with an initial commitment of 10 days per month for one year.
Location: London / Hybrid – UK remote a possible option
Type: Part time/Contract
Day Rate: Outside IR35
Job Reference: J12972
About the Company
Our client are a fast-growing Data Science, Machine Learning, and AI Consultancy supporting some of the UK and Europe’s leading private equity firms and high-growth businesses. Their work spans strategic data science engagements, AI product development, and long-term technology partnerships. As they scale, their ambition is to evolve into the UK’s first data-native investment firm—raising their own fund and co-investing alongside leading private equity partners using advanced analytics and AI to drive differentiated returns. Projects range from bespoke consulting and modelling engagements to the development of scalable AI-enabled solutions across marketing, operations, and investment analytics.
The Role
They are seeking a Senior Data Scientist with deep expertise in econometrics and advanced attribution modelling to lead a flagship client engagement with one of the world’s most prominent education businesses. This individual will take end-to-end ownership of Marketing Mix Modelling (MMM) and work closely with senior stakeholders to drive measurable commercial outcomes. In addition to technical delivery, the role involves experimentation design, implementation of testing frameworks, and ongoing refinement of model outputs. The ideal candidate will also contribute to the strategic development of their advanced attribution offering, support new business efforts, and play a leadership role in growing data science capabilities. This is a high-impact role suited to someone who combines technical depth with commercial acumen and is motivated by the opportunity to shape and grow a critical function within the business.
Key Responsibilities
- Lead the development and implementation of advanced attribution models (MMM) for a global education client, delivering actionable insights that drive growth and efficiency.
- Design and analyse experiments (e.g. geo-testing, holdouts) to validate and continuously improve model recommendations.
- Work closely with client stakeholders, including executive teams, to translate analytical findings into strategic actions.
- Contribute to the expansion of our attribution and marketing science capabilities, including methodologies, processes, and tooling.
- Collaborate on business development initiatives, including proposal creation, solution design, and client presentations.
Additional Requirements:
Candidates must have an existing and future right to live and work in the UK. Sponsorship at any point is not available.
If this sounds like the role for you and you’d like to hear more then please apply today!
Contract - Senior Data Scientist – Econometrics & Advanced Attribution - Initial project commitment 10 days per month/1 year employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract - Senior Data Scientist – Econometrics & Advanced Attribution - Initial project commitment 10 days per month/1 year
✨Tip Number 1
Familiarise yourself with the latest trends in econometrics and advanced attribution modelling. Being able to discuss recent developments or case studies during your conversations can demonstrate your expertise and passion for the field.
✨Tip Number 2
Network with professionals in the data science and econometrics community. Attend relevant meetups or webinars where you can connect with industry leaders and potentially get referrals or insights about the role.
✨Tip Number 3
Prepare to showcase your experience with Marketing Mix Modelling (MMM) through practical examples. Be ready to discuss specific projects where you've successfully implemented MMM and the impact it had on business outcomes.
✨Tip Number 4
Research the company’s current projects and clients, especially in the education sector. Understanding their business model and how your skills can contribute will help you engage more effectively with stakeholders during discussions.
We think you need these skills to ace Contract - Senior Data Scientist – Econometrics & Advanced Attribution - Initial project commitment 10 days per month/1 year
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in econometrics and advanced attribution modelling. Use specific examples from previous roles that demonstrate your ability to lead projects and deliver actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with their needs, particularly in marketing mix modelling and collaboration with senior stakeholders.
Showcase Technical Skills: Clearly outline your technical expertise in data science, machine learning, and AI. Mention any specific tools or methodologies you are proficient in that are relevant to the role, such as experimentation design and model refinement.
Highlight Commercial Acumen: Demonstrate your understanding of how data science can drive commercial outcomes. Provide examples of how your analytical findings have previously influenced strategic decisions or business growth.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Expertise
As a Senior Data Scientist, it's crucial to demonstrate your deep understanding of econometrics and advanced attribution modelling. Be prepared to discuss specific projects where you've successfully implemented Marketing Mix Modelling (MMM) and how your insights drove measurable outcomes.
✨Prepare for Stakeholder Engagement
Since the role involves working closely with senior stakeholders, practice articulating complex analytical findings in a way that is easily understandable. Think about how you can translate technical jargon into strategic actions that resonate with executive teams.
✨Highlight Your Experimentation Skills
The role requires designing and analysing experiments, so be ready to discuss your experience with various testing frameworks. Share examples of how you've validated model recommendations through experimentation, such as geo-testing or holdouts.
✨Demonstrate Commercial Acumen
This position is not just about technical skills; it also requires a strong sense of commercial awareness. Prepare to discuss how your data science capabilities can contribute to business development initiatives and the overall growth of the company's advanced attribution offering.
