Senior Data Scientist — Hybrid, AI-Driven Forecasting & Growth

Quantum

London

Hybrid

NOK 1,084,000 - 1,531,000

Full time

3 days ago
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Benefits offered by this job

Health care
Hybrid work (3 days in office)
Travel insurance
Company bonus scheme
AI subscription (Claude/ChatGPT/Gemini

Job summary

Quantum in London is seeking a Senior Data Scientist to own forecasting models and the data infrastructure behind them. You will turn statistical and machine learning work into reporting that informs business decisions.

You’ll design experiments, select and evaluate models, and present clear, actionable insights to non-technical stakeholders. A collaborative, fast-paced environment with hybrid working awaits.

Qualifications

  • Several years building and shipping statistical and ML models in production.
  • Fluent in Python and SQL, and comfortable owning model infrastructure end to end.
  • Strong on experiment design and model selection.
  • Able to translate modelling into clear reporting for non-technical stakeholders.
  • Challenge AI and move faster with rigour.
  • Thrives in a team and in a fast-paced environment.
  • Excellent written and verbal English skills.
  • No ego and collaborative mindset.

Responsibilities

  • Own the infrastructure and outcomes of our models, building pipelines to manage data for reporting.
  • Design and run experiments to test hypotheses and improve forecasting.
  • Select, build and evaluate the most appropriate models for each problem.
  • Turn model output into clear, decision-ready reporting for business use.
  • Raise the modelling bar across the analytics team with rigorous approaches.

Skills

Python
SQL
Experiment design
Model deployment
Data forecasting
Stakeholder reporting
Collaboration
English fluency

Job description

Quantum in London is seeking a Senior Data Scientist to own forecasting models and the data infrastructure behind them. You will turn statistical and machine learning work into reporting that informs business decisions.

You’ll design experiments, select and evaluate models, and present clear, actionable insights to non-technical stakeholders. A collaborative, fast-paced environment with hybrid working awaits.

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