2401 IT & Software Developer jobs in the UK

Data Idols jobs

Senior Data Scientist

£85,000 - 95,000
Data Idols
Silver Street, Farringdon
£85,000 - 95,000
Company Size icon
Company Size
<50
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:
- Strong experience in machine learning/data science (typically 4-8+ years) - Proven experience building and deploying ML models in production - Solid understanding of churn modelling - Solid understanding of propensity modelling - Strong behavioral data analysis skills - Strong Python skills (e.g. Pandas, NumPy, ML libraries) - Experience working with real-world, messy datasets - Ability to work autonomously in a fast-paced environment

Technologies

AI
Machine Learning
numpy
pandas

Responsibilities

- Design and build advanced machine learning models focused on user behaviour prediction - Develop churn and propensity modelling strategies - Create a scalable model factory capable of generating bespoke models per client - Work with complex behavioural event data from mobile applications - Collaborate directly with the founders on product and technical direction - Continuously experiment, iterate, and improve model performance - Own a key part of the data science stack end-to-end

Description


We are a fast-paced, early-stage AI startup based in Central London, building cutting-edge technology in the mobile app space. As we grow, we offer meaningful equity, a competitive salary of £85,000 - £95,000, and the opportunity to work alongside experienced founders. Our team thrives in a highly collaborative yet autonomous environment, allowing individuals to shape both the product and the companys future. We embrace hybrid working, providing flexibility with 2-3 days per week in the office.
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The company with most openings is Hays Technology as they are hiring for 96 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.