We\βre hiring: Principal Data Scientist β Dynamic Systems & Optimisation
Hybrid (Birmingham / Manchester / Remote, UK) | Ideally, office visits should occur once every two weeks (with possible client visits in Manchester) after onboarding and integration into the team, then shift to once a month.
We\βre looking for a hands-on
Principal Data Scientist
to lead the design and optimisation of complex, real-time decision systems, turning data, mathematics, and code into measurable performance gains.
You\βll own the algorithmic roadmap, driving innovation in
optimisation, modelling, and simulation
. Expect deep work in
advanced SQL
,
Python
, and
mathematical problem solving
β applying logic, statistics, and weighted decisioning to real-world business challenges.
This role blends technical depth with strategic influence: you\βll collaborate with product, engineering, and business teams to deliver scalable, data-driven solutions that make a real impact.
What\βs essential:
Advanced SQL & data modelling (critical)
Mathematical optimisation & statistical reasoning
Algorithm design & performance measurement
Python for prototyping and experimentation
Agile mindset and stakeholder engagement
If you\βre a data scientist who thrives on translating mathematical theory into elegant, production-ready systems, we\βd love to hear from you.
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Locations
Contact Detail:
Brilliantin Recruitment Recruiting Team