Data Scientist — Hybrid, High-Impact ML for Global Wholesale

Qogita EU BV, Qogita UK Ltd; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

26 days leave

Performance bonus

Equity

Pension

Learning budget

Hybrid work

Dog-friendly offices

Home-office setup

Annual offsite

Job summary

Qogita is seeking a data scientist to own end-to-end data science across our wholesale marketplace, from framing commercial problems to shipping models that matter in production. You will work closely with Product, Engineering, Finance, and Commercial to power pricing, matching, demand and product discovery.

You’ll combine classical modelling with modern applied ML, including experimentation and LLMs where helpful, and own ML systems end-to-end in a fast-growing European startup with hybrid

Qualifications

• 3+ years as a data scientist, applied ML engineer, or quantitative analyst.
• Track record of owning models in production, not just building them.
• Solid grounding in probability, statistics, and ML fundamentals.
• Strong Python and SQL; comfortable with large transactional datasets and Pandas/Scikit-learn.
• Experience collaborating on MLOps-style workflows and shipping with engineers.
• Able to communicate uncertainty and model limitations clearly to technical and non-technical audiences.
• Bachelor's or Master's in a quantitative field (Data Science, Statistics, Economics, Econometrics, Mathematics, CS, or related).

Responsibilities

• Build and deliver data science solutions across the stack: predictive models, ranking, demand forecasting, segmentation, pricing, experimentation, and LLM-powered features.
• Take ownership of business-critical ML systems end-to-end: problem framing, model design, deployment, monitoring, and production maintenance.
• Translate ambiguous business problems into tractable ML or statistical problems with clear success criteria, working with Product and Commercial.
• Apply quantitative methods (regression, causal inference, classical ML, and deep learning when useful) to pricing, demand, liquidity, supplier matching, catalogue enrichment, and related marketplace problems.
• Design and analyse experiments and A/B tests, owning statistical validity and turning results into actionable recommendations.
• Collaborate with Engineers to ship models via reproducible MLOps workflows: experiment tracking, model serving, alerting, and production monitoring.
• Communicate model choices, limitations, and trade-offs clearly to both engineers and non-technical stakeholders.

Skills

Python

SQL

ML fundamentals

Production ML

Experimentation

Communication

Data science

Education

Bachelor's or Master's in quantitative field

Tools

Pandas

Scikit-learn

XGBoost

PyTorch

Job description

Qogita is seeking a data scientist to own end-to-end data science across our wholesale marketplace, from framing commercial problems to shipping models that matter in production. You will work closely with Product, Engineering, Finance, and Commercial to power pricing, matching, demand and product discovery.

You’ll combine classical modelling with modern applied ML, including experimentation and LLMs where helpful, and own ML systems end-to-end in a fast-growing European startup with hybrid