2925 IT & Software Developer jobs in the UK

Halian Technology Limited jobs

Data Scientist - Hybrid

£68,000 - 108,000
Halian Technology Limited
Grebe Close 11, South Croydon
£68,000 - 108,000
Company Size icon
Company Size
500-1k
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- 3-6 years commercial experience in Applied ML or Data Science - Strong proficiency in Python (pandas, numpy, sklearn or similar) - Strong SQL skills - Experience building and iterating on predictive models - Conditional: must meet at least 2 of the following - Time-series modelling (2 years) - Geospatial data experience (H3, GeoPandas, PostGIS or similar) - Optimisation / operations research exposure - Logistics / mobility / marketplace domain experience - Nice to Have: - Reinforcement learning - Simulation modelling - Experience deploying models into cloud environments - Experimentation frameworks (A/B testing, model validation at scale)

Technologies

Machine Learning
numpy
pandas

Responsibilities

- Develop predictive models using time-series and geospatial datasets - Design and iterate on demand forecasting models - Support fleet positioning and operational planning initiatives - Engineer features from large-scale operational datasets using Python and SQL - Design and evaluate experiments tied to business KPIs - Collaborate with engineering teams to deploy and improve models in production - Participate in technical discussions, code reviews, and agile delivery

Description


We are a mobility technology business focused on building intelligent fleet orchestration systems. Our team is small yet high-calibre, dedicated to solving complex logistics and optimisation challenges that have a meaningful real-world impact. This is a hybrid role based in London, UK, with an initial contract duration of 6-12 months and a competitive rate. Join us and take ownership from modelling to deployment, all while working with messy real-world data and operational constraints.
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