Senior Data Scientist

Senior Data Scientist - Behavioural Data
Salary: £70,000-£80,000
Location: Fully remote, UK
Working pattern: Permanent, with a monthly meetup in London

Im working with an exciting early-stage technology business developing innovative
ways to understand human behaviour through the way people interact with technology.
Using data generated through mobile interactions, touch, movement and other
behavioural signals, the business is building technology that can identify patterns in
human behaviour and better understand how people interact with digital products.
Theyre now looking to bring another Data Scientist into their team, with a particular
focus on complex datasets, time-series analysis and predictive modelling.
This is an opportunity to work on some genuinely interesting data problems, combining
scientific research, machine learning and engineering to develop models that can be
taken through to production.

What youll be doing:

• Exploring and analysing large-scale, complex datasets, including sensor, device and behavioural data.
• Developing machine learning models to identify patterns and extract meaningful insights from time-series data.
• Applying signal processing and statistical techniques to understand complex and potentially noisy datasets.
• Building, testing and evaluating predictive models using Python.
• Taking models from initial research and experimentation through to production.
• Working closely with the wider Data Science and Engineering teams to develop and improve modelling approaches.
• Exploring new techniques to understand human behaviour, interactions and patterns within digital environments.
• Theyre particularly interested in people who combine strong technical Data Science skills with a scientific or research-led background.

You'll ideally have:

• Strong Python skills and hands-on experience developing machine learning models.
• Experience working with time-series, sequential or high-frequency data.
• Exposure to sensor, device, physiological, motion or other signal-based datasets.
• A good understanding of statistical modelling, signal processing or predictive analytics.
• Experience taking models beyond experimentation and into production environments.
• The ability to work with complex datasets and identify meaningful patterns.
• A background in one of the following areas would be Ideal:
• Neuroscience or computational neuroscience.
• Signal processing or neurotechnology.
• Medical devices, wearables or physiological data.
• Computational biology or other quantitative scientific disciplines.
• Research-led Machine Learning or applied Data Science.

Experience working with mobile, gaming or other behavioural datasets would also be
beneficial, but isnt essential.

Python is central to the role, alongside machine learning and statistical modelling. The wider team works with cloud-based data and ML infrastructure, including Google Cloud Platform (GCP). Experience with GCP, Databricks or similar environments would be useful.
You"ll be joining a small, specialist team within an established but growing technology business.

Theres plenty of scope to influence the technical direction, explore new approaches and work on problems that arent necessarily solved by applying standard ML techniques.

The business is based in London but operates on a predominantly remote basis, with the team meeting up approximately once a month.