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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.
The predicted salary is between 50000 - 84000 £ per 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 well-versed in current methodologies will not only boost your confidence but also impress potential employers during discussions.
✨Tip Number 2
Network with professionals in the data science and econometrics fields. Attend relevant meetups or webinars to connect with industry experts, which could lead to valuable insights and potential referrals for the role.
✨Tip Number 3
Prepare to discuss specific case studies or projects where you've successfully implemented Marketing Mix Modelling. Highlighting your hands-on experience will demonstrate your capability to lead client engagements effectively.
✨Tip Number 4
Showcase your commercial acumen by understanding the business context of your analytical work. Be ready to articulate how your insights can drive measurable outcomes for clients, aligning with their strategic goals.
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 aspects 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 driving growth and efficiency through advanced analytics.
Highlight Leadership Experience: Since the role involves a leadership component, be sure to showcase any past experiences where you led teams or projects. Discuss how you contributed to strategic development and business growth in your previous roles.
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 data insights into strategic actions that align with business goals.
✨Demonstrate Experimentation Skills
Highlight your experience in designing and analysing experiments, such as geo-testing and holdouts. Be ready to discuss how these methodologies have helped validate and refine model recommendations in your previous roles.
✨Emphasise Leadership and Collaboration
This position requires a leadership role in growing data science capabilities. Share examples of how you've led teams or collaborated on business development initiatives, including proposal creation and client presentations, to showcase your ability to drive growth.
