Senior Data Scientist

The Role

As a Senior Data Scientist, you will have a passion for data science and will be eager to drive forward the use of machine learning and advanced analytics (AA) throughout the Admiral group.

Data and technology take centre stage in delivering our market-leading products, and we have a large Advanced Analytics (AA) function that builds and deploys machine learning and artificial intelligence solutions for all business areas, including Pricing, Marketing, and Claims.

You will work closely with our Motor Pricing and Fraud areas developing machine learning models using a variety of cutting-edge techniques. You will work closely with the relevant stakeholders throughout the process, from generating ideas to implementation and model results.

About You

We are looking for someone inquisitive and focussed, keen to make an impact using innovative methods. You must have significant experience in machine learning or statistics and be ready to expand your skills as the field progresses. You should be comfortable in a culture where decision-making is evidence-based and reliant on rigorous analysis.

You are self-motivated and able to work with initiative, able to work well in a team, and capable of delivering to agreed timelines in a fast-paced and changing environment.

Responsibilities

• Develop, analyse and oversee the implementation of advanced statistical and machine learning models.
• Create meaningful datasets for modelling and analysis from a vast quantity of data in multiple formats.
• Become a go-to person for advice, help, and support within the AA department.
• Support with the management and development of the Graduate Data Scientists and Data Scientists within the team.
• Work with Subject Matter Experts and Senior Managers to understand and solve problems by asking the right questions and delivering appropriate solutions.
• Remain up to date with trends and developments in technology and methods in the data science community.

Desirable Skills and Experience

• 3+ years experience working in Data Science or a relevant field including experience working on projects involving general insurance pricing or fraud detection.
• Minimum of a bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other technical field.
• Commercial experience using supervised learning techniques such as decision trees, GLMs, random forests, or gradient boosted ensembles.
• Proficient in relevant tools such as R, Python, SparkML, SAS, etc.
• Adept in the extraction of both structured and unstructured data from multiple sources.
• Exceptional numerical ability and creative thinker/problem solver.
• Ability to initiate and drive projects to completion with minimal guidance.
• Excellent communication skills with technical and non-technical audiences and a desire to work within a fast-paced, dynamic team environment.
• Ability to challenge business stakeholders and senior management using simple and compelling language.
• Ability to support and mentor junior members of the team.
• Receptive to new ideas and opportunities to innovate.

Additional Information

We’re a big believer in personal development and preparing you for success in this role as well as your next. We’ll provide a range of on-the-job training as well as other opportunities to learn all the key skills you’ll need.

Location

Our whole business is still working remotely. We will provide you with everything you need to work comfortably from home. We expect you to be working remotely for the foreseeable future. Once it’s safe to return to the office, you can agree your on-site days at the office with your Line Manager. Ideally we would like to see you at least once per week at our Cardiff office but we do offer some flexibility. 

Salary, Benefits and Work-Life Balance

We do not have a set salary for this position, as it will be dependent on the successful candidate’s experience. We are happy to see CVs from all candidates who meet the requirements and will be happy to discuss the remuneration package.

At Admiral, we are proud to be a diverse business where we put our people and customers first. We have great benefits to ensure employees have a great work-life balance; it's one of the reasons we're voted as one of the Sunday Times Best Big Companies to Work For in the UK. We want you to have an element of freedom to define a working lifestyle that supports this, so accommodate flexible hours wherever possible.

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