Junior Econometrician

TechByte Talent Ltd; Greater London; Hybrid; GBP 32,000 - 52,000; Full time

Job summary

TechByte Talent Ltd represents a leading digital entertainment company seeking a Junior Econometrician to join its Marketing Analytics team in London.

You will own the Marketing Mix Modelling pipeline, measure channel ROI, run MMM experiments, and turn outputs into actionable budget scenarios; expect hybrid work with three days in the Central London office.

Qualifications

• Degree in Econometrics, Statistics, Math, Data Science, Economics, or Engineering.
• Proficient in Python (pandas, numpy) or R for modelling and ML.
• Strong SQL skills for large relational datasets.
• Familiarity with MMM frameworks (Robyn, Meridian, PyMC).
• Solid grounding in econometrics, time-series, and regression (OLS, Ridge/Lasso).
• Experience with experimentation methods (A/B, GeoX) and MDE is a plus.
• Interest in marketing dynamics (CAC, CPA, ROI, attribution).

Responsibilities

• Build and refine MMM models to measure channel ROI using time-series data.
• Calibrate models against incrementality tests and attribution data.
• Translate model outputs into budget scenarios and what-if simulations.
• Use SQL to explore first-party data and track KPIs.
• Collaborate with Data Engineering to automate data pipelines.
• Present econometric concepts clearly to marketing and senior stakeholders.

Skills

Econometrics

Time-series analysis

A/B testing

Marketing analytics

Bayesian methods

Education

Quantitative degree

Tools

Pandas

NumPy

PyMC

Robyn

Meridian

Job description

• Hybrid: (3 days in the Central London office)

Our client, a leading digital entertainment company is looking for a Junior Econometrician to join their Marketing Analytics team.

This is a fantastic opportunity to take hands-on ownership of a Marketing Mix Modelling (MMM) pipeline, working at the intersection of statistical modelling and experimentation.

What you'll be doing:

• Building and refining MMM models to measure channel ROI, using time-series marketing data (spend, impressions, external factors)
• Calibrating models against incrementality testing (GeoX tests, attribution data)
• Translating model outputs into budget scenario planning and "what-if" simulation tools
• Using SQL to dig into first-party user data and track key KPIs
• Partnering with Data Engineering to automate and improve data pipelines
• Presenting complex econometric/Bayesian/ML concepts clearly to marketing and senior stakeholders

What we're looking for

• A degree or proven experience in a highly quantitative field (Econometrics, Statistics, Maths, Data Science, Economics, or Engineering)
• Python (or R) proficiency in pandas, numpy, statistical modelling & ML
• Strong SQL skills for querying large relational datasets
• Exposure to, or strong interest in, MMM frameworks (Robyn, Meridian, PyMC/Bayesian workflows)
• Solid grounding in econometrics, time-series analysis, and regression modelling (OLS, Ridge/Lasso, Bayesian regression)
• Understanding of testing/experimentation methods (A/B, GeoX, hypothesis testing, MDE)
• Genuine interest in marketing dynamics (CAC, CPA, ROI, attribution)