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Join Admiral's quest for innovation as we seek a curious mind eager to make waves with advanced analytics. With a passion for machine learning and a drive to stay ahead of the curve, you'll be instrumental in shaping the future as the industry evolves. Data and technology are at the heart of our business strategy, propelling our market-leading products forward and, with the support of a dedicated Claims Data Science team that delivers AI and machine learning for our Claims Departments in Motor and Household, helps provide essential assistance to our customers in their time of need.
Admiral is committed to leveraging Data & ML for the greater good, enhancing both customer and employee experiences. Our progressive ethos, core principles, and dedication to diversity and inclusion cultivate an idea-rich atmosphere where innovation thrives, and every voice is heard.
Whether it be assessing claims severity, streamlining the claims journey or fraud detection, the opportunities to leverage data for transformation are endless. Our work spans a variety of approaches, dealing with both structured and unstructured data challenges. Through harnessing the power of Google Cloud and Vertex AI, we're at the forefront of insurance data innovation, developing and monitoring cutting-edge models that support our customers in their claims journey.
Embark on this journey with us and be part of a team where data isn't just numbers, but the key to unlocking potential and driving Admiral forward.
Main Duties
* Unleash the power of data to transform the business landscape with cutting-edge statistical, machine learning, and AI techniques
* Dive into the ever-evolving data science landscape, continuously exploring innovative concepts and keeping up to date with latest industry advancements
* Collaborate with a dynamic team to streamline model deployment
* Champion the power of data science at Admiral, inspiring members of our data community to harness our data’s potential and maximize the impact across the business
* Partner with business leaders within our Claims areas to harness the transformative power of Data Science and help identify future opportunities and priorities
* Support your team's growth by actively participating in the development of more junior colleagues, sharing your expertise to drive the team forwards, and contributing to a thriving and impactful data science environment.
Essential
Skills, Qualifications & Experience
* 2+ years Data Science experience.
* Experience with developing and maintaining Machine Learning models and using Machine Learning techniques to create business solutions.
* Coding experience in Python and SQL.
* Stakeholder engagement and interaction.
* A natural problem-solver.
Desirable
* Insurance domain knowledge.
* Knowledge of LLM’s.
* Use of software development tools and version control systems such as GIT and knowledge Dev Ops practices.
* Experience of thinking about the wider impact of ML models and techniques on the customer and what considerations to put in place.
* Passionate about making a positive difference in the workplace and beyond, with a knack for understanding the big picture through data.
* Great at talking data with anyone, from technical to non-technical audiences, and turning numbers into compelling stories that drive action.
Interview process
* Coding task
* Two-stage interview via Teams
Location
The role is a hybrid role with an expectation to attend our Cardiff office twice a week. Once on a specified team day and the other day to be chosen at the discretion of the successful candidate.
Admiral: Where You Can
We take pride in being a diverse and inclusive business. It's a place where you can Be You, and show up as you are. We’re committed to fostering a people-first culture where everyone is accepted, supported, and empowered to be brilliant. You can, Grow And Progress at a pace and direction that suits you, Make A Difference for our customers and each other, and Share in Our Future with all colleagues eligible for up to £3,600 of free shares each year after one year of service.
Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays). You also have the option to buy or sell up to an additional five days of annual leave.
We’re proud of our people-first culture. In fact, we've been recognised as a Great Place to Work for Women, a Great Place to Work for Wellbeing, and an overall Great Place to Work for over 25 years! We’re fully committed to making sure your progression is not slowed or halted by barriers related to race, gender, age, sexuality or any of the protected characteristics.
Our fantastic benefits make sure our colleagues have a great work-life balance; You can view some of our other key benefits here.
Seniority level
* Seniority level
Not Applicable
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Financial Services, IT Services and IT Consulting, and Insurance
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