Senior Data Scientist

We are looking for someone inquisitive and keen to make an impact using innovative analytical methods. You must be interested in machine learning, experience in natural language processing (NLP), and be ready to expand your skills as the field progresses.

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

But we don't like to stand still; now that we have an established, experienced function, we are focusing on growth, and looking for an experienced data scientist to join our Claims Analytics team.

The successful candidate will report into the core Advanced Analytics function for training, support, development, and best practice. However, they work closely with the business teams to develop meaningful solutions that best meet their needs. The role will cover a diverse range of approaches, including projects with unstructured data, raw text, speech, and images, as well as traditional structured data problems. With over 4 million interactions with our customers every day, we have a lot of data to be put to good use.

Main Responsibilities

• Support the business and solve problems using a range of advanced statistical, machine learning and artificial intelligence techniques.
• Be a subject matter expert in the Claims Analytics team, developing, initiating, and running projects from start to finish.
• Be an advocate for data science within Admiral, working with senior managers throughout the business, supporting helping them understand where and when it can add value to their processes.
• Act as a mentor and commit to the training and development of more junior data scientists in the department.
• Research new ideas and stay up to date with the world of data science, contributing to the data scientist community within Admiral.

About You

Whilst you enjoy research and proposing solutions to the rest of the team, you keep an equal focus on delivering business value. Equally, you enjoy learning about the business needs and working with a range of stakeholders.

Desirable Skills and Experience

• We are looking for a technical experts, 3+ years' experience working in Data Science or a relevant field.
• Minimum of a bachelor's degree in a quantitative discipline.
• Proven experience delivering business value using supervised learning techniques such as GLM's, random forests, or gradient boosted ensembles.
• Experience working with unstructured data such as image, speech or text, and proficiency with machine learning frameworks.
• Experience using various tools, such as Python or R, preferably within a Cloud environment.
• Ability to initiate and drive projects to completion with minimal guidance.
• Excellent communication skills with the ability to tailor communication across a range of technical and non-technical audiences.

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 have been consistently voted one of 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.

You can also view some of our other key benefits here; https://admiraljobs.co.uk/employee-benefits/.

Location

We are open to discussion around remote working possibilities (UK only). 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 or twice a week at our Cardiff office but we do offer some flexibility depending on your location.

If you think this role is for you and would like to be considered for this opportunity, please click “apply now” to complete an online application form.

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