Data Scientist

Bristol, Hybrid role

£60-£70K plus benefits, listed below

Seeking talented data scientists with a background in machine learning and in taking data science solutions through to production. The role will require interaction with clients and collaboration with their passionate team of data scientists, software engineers, and underwriters, shaping data analytics solutions to meet client needs.

Insurance and cyber security experience are not required, but either would be looked upon favourably.

Responsibilities

• Gaining a detailed understanding of the cyber risk landscape
• Researching and curating data sets to support quantification of cyber risk
• Performing exploratory data analysis on new data sets
• Cleaning large raw data sets & transforming to features
• Developing and evaluating machine learning models
• Continually evaluating and improving models in production
• Keeping up to date with the latest tools, methods, & technologies

Key Skills/Experience

• Good knowledge of python for data analysis and machine learning (pandas, numpy, scikit-learn, statsmodels, Spacy, Tensorflow/Keras)
• Demonstrable machine learning experience (supervised/unsupervised)
• Fluency in SQL
• Exposure to working with large, complex, and messy data sets
• Capability to communicate complex concepts and data patterns to non-technical audiences
• Data visualisation
• Working in an agile software development environment

Desirable

• Natural language processing
• Active learning
• Bayesian statistics & probabilistic programming
• Deep learning (Keras, PyTorch, Tensor Flow)
• Graph databases and analytics
• Large scale stochastic modelling
• Experience with Dataiku's Data Science Studio

Qualifications & Experience

• Bachelor of Science or higher in engineering, science, or mathematics, with specializations related to computer science preferred
• At least 3 years relevant industry experience

Benefits

• 28 days annual leave plus bank holidays
• Medical Insurance with AXA
• Life assurance
• Pension
• Discretionary bonus

To speak to a recruitment expert please contact Georgia Pitula