Senior Econometrician

Datatech Analytics; Greater London; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

Datatech Analytics in London offers a Senior Econometrician role focusing on Marketing Mix Modelling within a hybrid setup (London office 2-3 days/week). Salary £45,000–£55,000 DoE, Ref: J13198.

You will lead modelling projects across the full lifecycle, translating complex outputs into actionable business insights for consumer brands. Autonomy and client interaction are key aspects.

Qualifications

• At least 3 years' MMM experience.
• Strong econometric and statistical modelling using R or Python.
• Experience cleaning and transforming large datasets.
• Knowledge of regression, adstock, lag structures, saturation.
• Ability to present findings to non-technical audiences.
• Independent project management from data prep to delivery.
• Excellent stakeholder communication and engagement.

Responsibilities

• Manage the full modelling lifecycle from requirements to delivery.
• Prepare and quality-check data ensuring accuracy and consistency.
• Apply econometric methods to assess marketing performance and outputs.
• Use regression, adstock, lag structures, saturation and interactions to improve models.
• Evaluate models via validation and diagnostic tests.
• Create clear presentations to explain findings and implications to clients.
• Translate statistical outputs into actionable business insights.
• Lead project delivery with limited supervision and ownership.
• Identify opportunities to improve analytical processes and efficiency.
• Contribute to development of new analytics approaches and offerings.
• Collaborate with colleagues and clients to address business questions.

Skills

MMM experience

Statistical modelling

R/Python

Data cleaning

Presentation skills

Independent work

Stakeholder engagement

Team mentorship

Tools

EViews

SAS

Python

Pandas

Parquet

Job description

Description

Senior Econometrician - Marketing Mix Modelling
London / Hybrid - 2-3 days per week in the office
Salary: £45,000 - £55,000 DoE
Ref: J13198

Our client is a growing specialist analytics consultancy helping consumer brands better understand the effectiveness of their marketing activity. Using advanced statistical modelling and data-driven analysis, they help businesses measure performance, optimise investment and identify opportunities for future growth.

With an increasing number of projects and continued investment in its analytical capabilities, the business is looking to bring an experienced Senior Econometrician into its team. This is an opportunity to join a technically focused environment where you'll have the autonomy to lead projects, contribute ideas and develop beyond the purely technical aspects of your role.

You'll be involved throughout the project lifecycle, combining hands-on modelling with interpretation, presentation and stakeholder engagement. For someone looking to strengthen their project leadership skills and build a broader commercial understanding, there's plenty of scope to make an impact.

What you'll be doing

• Manage the full modelling lifecycle, including understanding project requirements, exploring datasets, selecting variables and developing appropriate models
• Prepare and quality-check data, ensuring datasets are accurate, consistent and suitable for analysis
• Apply appropriate econometric methodologies to investigate marketing performance and generate reliable results
• Use techniques such as regression, adstock, lag structures, saturation and interaction effects to strengthen model performance
• Evaluate models through validation, diagnostic testing and relevant performance measures
• Produce clear, engaging presentations that explain findings, implications and recommendations
• Translate complex statistical outputs into practical insights that support commercial decision‑making
• Take ownership of project delivery, managing the journey from raw data through to completed outputs with limited day‑to‑day supervision
• Identify opportunities to improve analytical processes, modelling efficiency and the quality of deliverables
• Contribute to the development of new analytical approaches and service offerings
• Work with colleagues and clients to ensure outputs address the underlying business questions
• Share knowledge and provide practical support to less experienced team members

You'll ideally have:

• At least 3 years' practical experience in Marketing Mix Modelling (MMM)
• Strong statistical and econometric modelling capabilities using R, Python or tools such as EViews or SAS
• Experience preparing, cleaning and transforming large or complex datasets
• A solid understanding of different modelling methodologies, including linear and logarithmic-linear approaches
• Practical knowledge of regression, adstock, lag structures, saturation and interaction effects
• Experience assessing model accuracy, performance and reliability through validation and diagnostic techniques
• Familiarity with Python data libraries such as Pandas; knowledge of Parquet is advantageous
• Exposure to machine learning approaches, particularly Random Forest, would be beneficial
• The ability to manage modelling assignments independently, from initial data preparation to final delivery
• Experience presenting analytical findings through structured reports and presentations
• Strong problem‑solving skills and the ability to apply analytical thinking to real business challenges
• Clear communication skills, with the ability to explain technical concepts to non‑technical audiences
• Confidence working with stakeholders and some experience contributing to client discussions
• An interest in supporting junior colleagues and helping develop the wider team's capabilities

Candidates must have the right to work in the UK without sponsorship requirements.