Senior Data Scientist

Admiral Group Plc; Cardiff; On-site; GBP 50,000 - 75,000; Full time

Job summary

Join a leading company as a Senior Data Scientist in Cardiff, where you'll leverage data and machine learning to drive innovation. You'll collaborate with a dynamic team, mentor others, and contribute to transformative business solutions. Enjoy a people-first culture with excellent benefits, including up to £3,600 in free shares and 33 days of holiday.

Benefits

33 days holiday

Up to £3,600 in free shares

Flexible working options

Qualifications

• 4+ years Data Science experience.
• Experience with developing and maintaining Machine Learning models.
• Coding experience in Python and SQL.

Responsibilities

• Drive transformative business solutions with advanced statistical and machine learning techniques.
• Guide a team in refining model deployment processes.
• Work closely with business leaders to leverage Data Science.

Skills

Machine Learning

Statistical Analysis

Problem-Solving

Stakeholder Engagement

Data Visualization

Tools

Python

SQL

GIT

Job description

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Join to apply for the Senior Data Scientist role at Admiral Group Plc

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.

The Role

• Strategize and Innovate: Use your extensive experience to drive forward transformative business solutions with advanced statistical, machine learning, and AI techniques.
• Explore and Pioneer: Stay at the forefront of the data science field, pioneering new methodologies and staying up to date with the latest industry breakthroughs.
• Lead and Collaborate: Guide a dynamic team in refining model deployment processes and champion the role of data science within Admiral, motivating our data community to unlock the full potential of our data and amplify its impact across the business.
• Influence and Partner: Work closely with business leaders within our Claims areas to leverage the transformative power of Data Science, shaping future strategies and identifying key opportunities.
• Mentor and Develop: Play a pivotal role in developing the growth of your team, sharing your wisdom to advance their skills, and being a pivotal role in creating a robust and impactful data science culture.
• Make Your Mark: Drive significant value and innovation at every turn with data-driven insights.
  
  

Essential Skills & Experience

• 4+ 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
• Mentoring and/or management of other team members
  
  

Desired Skills & Experience

• Insurance domain knowledge
• Knowledge of LLM’s
• Project management
• Use of software development tools and version control systems such as GIT
• Knowledge of DevOps projects and MLOps
• 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.
• Experience of using SQL for data extraction, simple transformations and analysis
• Great at talking data with anyone, from technical to non-technical audiences, and turning numbers into compelling stories that drive action.
  
  

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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