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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 a competitive salary, hybrid working options, and performance bonuses.
- Why this job: Shape the future of data science in a high-impact role with significant growth potential.
- Qualifications: Deep expertise in econometrics and advanced attribution modelling required.
- Other info: Candidates must have the right to live and work in the UK; no sponsorship available.
The predicted salary is between 60000 - 84000 £ per year.
Location: London / Hybrid - UK remote a possible option
Type: Full-Time/Permanent
Salary: Negotiable DoE £70,000 - £100,000 plus good bonus
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.
Senior Data Scientist – Econometrics & Advanced Attribution employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – Econometrics & Advanced Attribution
✨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 interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the data science and econometrics community. Attend relevant meetups or webinars, and connect with current employees of the company on LinkedIn to gain insights into their work culture and expectations.
✨Tip Number 3
Prepare to showcase your experience with Marketing Mix Modelling (MMM) through practical examples. Be ready to discuss specific projects where you led the development and implementation of models that drove measurable outcomes.
✨Tip Number 4
Understand the business landscape of the education sector, especially how data science can impact marketing strategies. This knowledge will help you articulate how your skills can contribute to the company's goals during discussions with stakeholders.
We think you need these skills to ace Senior Data Scientist – Econometrics & Advanced Attribution
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 and advanced attribution modelling, as well as the specific projects mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, econometrics, and any previous work with marketing mix modelling. 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 evolving into a data-native investment firm.
Highlight Leadership Experience: Since the role involves a leadership component, be sure to showcase any past experiences where you've 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
✨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.
✨Prepare for Stakeholder Engagement
The role involves working closely with senior stakeholders, so practice articulating complex data insights in a way that is accessible to non-technical audiences. Think about how you can effectively communicate your ideas and recommendations.
✨Emphasise Collaboration and Leadership Skills
As a senior position, you'll need to demonstrate your ability to lead and collaborate with teams. Share experiences where you've contributed to team growth or led initiatives that expanded data science capabilities within an organisation.
