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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, and connect with industry leaders on platforms like LinkedIn. This can help you gain insights into the role and potentially get a referral.
✨Tip Number 3
Prepare to discuss your experience with Marketing Mix Modelling (MMM) in detail. Be ready to share specific examples of how your work has led to measurable commercial outcomes, as this will be crucial in demonstrating your fit for the role.
✨Tip Number 4
Research the company’s current projects and clients. Understanding their business model and how they leverage data science can help you tailor your discussions and show that you're genuinely interested in contributing to their success.
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 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Scientist position. Familiarise yourself with econometrics, advanced attribution modelling, and Marketing Mix Modelling (MMM) as these are key components of the role.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, econometrics, and any previous work with marketing analytics. Use specific examples that demonstrate your ability to lead projects and deliver actionable insights.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Mention how your skills align with their goals of using advanced analytics and AI to drive growth.
Highlight Leadership Experience: Since the role involves leading client engagements and contributing to business development, be sure to showcase any leadership roles or experiences you've had in previous positions. This will help demonstrate your capability to drive strategic actions.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with econometrics and advanced attribution modelling in detail. Highlight specific projects where you've successfully implemented Marketing Mix Modelling (MMM) and the impact it had on business outcomes.
✨Demonstrate Commercial Acumen
Since this role requires a blend of technical skills and commercial insight, be ready to explain how your analytical findings have translated into strategic actions for previous clients. Use examples that showcase your ability to drive measurable results.
✨Engage with Stakeholders
The role involves working closely with senior stakeholders, so practice articulating complex data insights in a way that is accessible to non-technical audiences. Prepare to discuss how you’ve effectively communicated findings to executive teams in the past.
✨Prepare for Experimentation Design Questions
Expect questions about your approach to designing and analysing experiments. Be ready to discuss methodologies you've used, such as geo-testing or holdouts, and how these have contributed to refining model outputs.
