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Data Scientist - IR35 - Optimisation

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Lorien
Part Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
  • Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist - Inside IR35 - Optimisation
Location: Greater London

Job Type

Contract/Temporary

Location

London

Job

BBBH
174673_

Date Added

February 17th, 2026

Consultant

Heather Thompson

Contract duration: 6months (12months of work road mapped)

Day rate: 800 Inside IR35

Location/Hybrid: 2-3 days per week to Heathrow Airport

A major global airline, undergoing a multi‑million‑pound data and optimisation transformation , is looking for a Data Scientist to join their high‑performing Decision Support & Optimisation function.

This role is end‑to‑end, hands‑on, and deeply embedded in the business. You'll work at the start of new product builds, shaping and delivering AI‑powered optimisation tools that keep people and aircraft moving efficiently in one of the most operationally complex industries in the world.

What You’ll Do
  • Build and deploy applied statistics, machine learning and optimisation models that support mission‑critical operational decisions.
  • Work closely with data engineers, understanding their workflows and collaborating to take models from ideation all the way into production environments.
  • Craft and define optimisation problems from scratch: decision spaces, constraints, objective functions.
  • Use strong data visualisation and communication skills to influence stakeholders at all levels.
  • Partner with operational teams to embed tools directly into workflows and measure real‑world impact.
  • Own delivery end‑to‑end with far better working hours than typical consulting-while still delivering meaningful change.
What We’re Looking For Technical Expertise
  • Degree or Master's in Maths, Statistics, Data Science, Operational Research, or similar fields.
  • Strong applied statistics background.
  • Experience working with messy or complex datasets
  • Hands‑on exposure to integer programming, MIP, MILP , and applied optimisation.
  • Experience with optimisation tools such as CPLEX, MATLAB, OR‑Tools , or similar.
  • Some exposure to machine learning methods.
  • Ability to build and industrialise Python‑based data products.
  • Exceptional communication and storytelling abilities-able to interrogate both data and stakeholders .
  • Ability to articulate trade‑offs, design decisions and model assumptions clearly to non‑technical audiences.

Ready to shape high‑impact optimisation products from day one and see your work take off-literally? Please Apply with an up‑to‑date CV.

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