Data Scientist (Economics)

Qogita; Greater London; Hybrid; GBP 72,000 - 90,000; Full time

Benefits offered by this job

Base salary (London) £72k–£90k

26 days annual leave

Equity package

Pension contributions

Learning & development budget

Hybrid flexibility

Dog-friendly offices

Home-office setup

Company offsite

Job summary

Qogita in London is seeking a data scientist with broad quantitative skills and a background in microeconomics, econometrics, or finance. You’ll own data science work across Qogita’s business—from forecasting and classification to experimentation and recommendation systems—and advise on pricing, buyer responses, and market structure shaping commercial decisions.

The Data Science team collaborates with Product, Finance, and Commercial to build the analytical and modelling layer behind Qogita’s

Qualifications

• 3+ years of experience as a data scientist or quantitative analyst with focus on microeconomics, econometrics or finance.
• Strong Python (pandas, statsmodels, scikit-learn, XGBoost, PyTorch) and SQL skills; comfortable with large transactional datasets.
• Grounding in pricing and market economics — price theory, consumer behavior, substitution effects, and how market structure shapes pricing power.
• Familiarity with econometric techniques for demand estimation, forecasting and measuring causal effects.
• Experience designing and analyzing experiments with real business decisions.

Responsibilities

• Build and deliver data science solutions across the stack — predictive models, segmentation, forecasting, ranking systems, and pricing models.
• Act as the team's domain expert on pricing and market economics: own modelling approach and how findings translate into commercial recommendations.
• Research, build, deploy and maintain predictive and analytical models reflecting buyer behaviour and wholesale market dynamics.
• Design and analyze experiments and A/B tests, owning statistical validity and translating results into recommendations for Product and Commercial.

Skills

Data science

Pricing

Econometrics

Machine learning

Statistics

Education

Bachelor's/Master's in quantitative field

Tools

Python

SQL

Pandas

scikit-learn

XGBoost

PyTorch

Job description

The role

You're a data scientist with broad quantitative skills and a background in microeconomics, econometrics, or finance. You'll own data science work across Qogita's business — from forecasting and classification through to experimentation and recommendation systems — and act as the team's go-to on how prices are set, how buyers respond, and how market structure shapes commercial decisions. The Data Science team works cross-functionally with Product, Finance, and Commercial teams to build the analytical and modelling layer that drives Qogita's wholesale marketplace.

The role

You're a data scientist with broad quantitative skills and a background in microeconomics, econometrics, or finance. You'll own data science work across Qogita's business — from forecasting and classification through to experimentation and recommendation systems — and act as the team's go-to on how prices are set, how buyers respond, and how market structure shapes commercial decisions. The Data Science team works cross-functionally with Product, Finance, and Commercial teams to build the analytical and modelling layer that drives Qogita's wholesale marketplace.

What You'll Do

• Build and deliver data science solutions across the stack — predictive models, segmentation, forecasting, ranking systems, and pricing models — depending on where the business need is greatest
• Act as the team's domain expert on pricing and market economics: take ownership of the modelling approach, analytical strategy, and how findings translate into commercial recommendations
• Research, build, deploy and maintain predictive and analytical models that reflect B2B buyer behaviour and wholesale market dynamics
• Design and analyse experiments and A/B tests, owning statistical validity and translating results into recommendations Product and Commercial can act on
• Apply a range of quantitative methods — regression modelling, causal inference, ML techniques — to business problems across pricing, demand, market liquidity and beyond
• Collaborate with Engineers to ship models via reproducible MLOps workflows, including experiment tracking, model serving, and production monitoring
• Communicate findings and model limitations clearly to Finance, Commercial, and Product stakeholders
  
  

What You'll Bring

• 3+ years working as a data scientist or quantitative analyst and meaningful exposure across ML methods and statistical modelling with a focus on microeconomics, econometrics or finance
• Strong Python (pandas, statsmodels, scikit-learn, XGBoost, PyTorch) and SQL; comfortable working with large transactional datasets
• Grounding in pricing and market economics — price theory, consumer behaviour, substitution effects, and how market structure shapes pricing power
• Familiarity with econometric techniques for demand estimation, forecasting and measuring causal effects
• Experience designing and analysing experiments with real business decisions riding on the results
• Able to communicate findings and model limitations clearly to non-technical stakeholders across Finance, Commercial, and Product
• Bachelor's or Master's in Data Science, Statistics, Economics, Econometrics, Mathematics, or a related quantitative field
  
  

Perks & Benefits

• Base salary: €60,000 – €75,000 (Amsterdam) / £72,000 – £90,000 (London) depending on experience
• 26 days of annual leave, plus 4 additional personal days
• Company performance-based bonus
• Attractive equity package
• Pension contributions
• Annual learning & development budget
• Office-led culture with hybrid flexibility
• Dog-friendly offices
• Home-office setup package
• Office socials and annual company-wide offsite
  
  

Who we are

Qogita [Ko-gi-ta] is revolutionizing wholesale procurement. We provide a one-stop shop for branded products, available in a single click at competitive prices. Our vision is to build the world's leading global wholesale trading hub, empowering efficient distribution of goods. We didn't just improve wholesale — we reinvented it.

We're one of the fastest-growing B2B companies globally, backed by top investors behind companies like Facebook, Etsy, and Shopify.

Our tight-knit, highly motivated team thrives on curiosity and impact. Everyone contributes hands-on, takes initiative, and drives results. We value a strong work ethic, smart prioritization, and a relentless focus on excellence.