Senior Data Scientist, Supply Chain Optimisation

Harnham - Data & Analytics Recruitment

City Of London

Hybrid

GBP 92,000 - 111,000

Full time

10 days ago

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Benefits offered by this job

Hybrid work model
London office attendance

Job summary

Harnham - Data & Analytics Recruitment is seeking a Senior Data Scientist to join a large-scale supply chain optimisation programme in London. You will design, develop and enhance optimisation models to support operational decisions across a vast network, leveraging strong OR and mathematical modelling skills in a highly data-driven environment.

The role focuses on real-world optimisation rather than generative AI or NLP, with a long-term strategic programme and a hybrid London office presence.

Qualifications

  • Strong background in optimisation, OR, or mathematical modelling.
  • Experience solving real-world supply chain, logistics, inventory, or network optimisation problems.
  • Hands-on with optimisation platforms (AIMMS, AMPL, Gurobi, CPLEX, FICO Xpress) and Python.

Responsibilities

  • Architect and design optimisation models for complex logistics and supply chain challenges.
  • Improve and scale existing optimisation solutions.
  • Translate business problems into mathematical models with stakeholders.
  • Deliver solutions handling billions of potential decision combinations.
  • Support ongoing development of a critical optimisation platform used across the organisation.

Skills

Optimization
Operational Research
Mathematical Modelling
Python

Education

Mathematics / OR background

Tools

AIMMS
AMPL
Gurobi
CPLEX
FICO Xpress

Job description

Harnham - Data & Analytics Recruitment is seeking a Senior Data Scientist to join a large-scale supply chain optimisation programme in London. You will design, develop and enhance optimisation models to support operational decisions across a vast network, leveraging strong OR and mathematical modelling skills in a highly data-driven environment.

The role focuses on real-world optimisation rather than generative AI or NLP, with a long-term strategic programme and a hybrid London office presence.

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