Technical Senior Data Scientist

Admiral Group Plc; Cardiff; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

Join a leading insurance firm as a Data Scientist, where innovation meets analytics. You'll play a crucial role in shaping data-driven strategies and enhancing business solutions through advanced machine learning techniques. With a commitment to diversity and inclusion, Admiral fosters a culture where your insights can thrive, empowering you to make a real impact in the industry.

Benefits

33 days holiday with increased allocation based on service

Flexible working hours

Options to buy or sell annual leave

Qualifications

• 4-5+ years of Data Science experience.
• 2-3+ years of Insurance Pricing domain knowledge.
• Experience with developing Machine Learning models.

Responsibilities

• Drive transformative solutions with advanced statistical and AI techniques.
• Lead a dynamic team in model deployment processes.
• Work with business leaders to leverage Data Science for strategy.

Skills

Problem-solving

Data Analysis

Machine Learning

Stakeholder engagement

Python

Education

Bachelor's degree in Data Science or related field

Tools

SQL

GIT

Azure Dev Ops

Job description

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 with the support of a large, dedicated Data Science team that delivers AI and machine learning in our Pricing Data Science department.

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.

With millions of customer interactions daily, 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 drive our business forward.

Your Role In Action:

• 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 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:

• 4-5+ years Data Science experience.
• 2-3+ years Insurance Pricing domain knowledge.
• Experience with developing Machine Learning models.
• Using Machine Learning techniques to create business solutions.
• Knowledge of feature engineering and selection techniques.
• Coding experience in Python.
• Stakeholder engagement and interaction.
• A natural problem-solver.
• Model monitoring & maintenance.
• Mentoring and/or management of other team members.

Desired:

• Model deployment experience.
• Project management.
• Use of software development tools and version control systems such as GIT and Azure Dev Ops.
• 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.
• Testing experience.
• MLOps.
• Leadership skills.
• Great at talking data with anyone, from technical to non-technical audiences, and turning numbers into compelling stories that drive action.

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.

Benefits and Work-Life Balance

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 consistently voted 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.

All colleagues will receive 33 days holiday (including banks holidays) when they join us, and this will increase with length of service, up to a maximum of 38 days (including banks holidays). You also have the option to buy or sell up to five days of annual leave in addition to your allocation.

You can also view some of our other key benefits here.

Admiral, Where You Can Be You

At Admiral you’re accepted, supported and empowered to be you. Because you’re brilliant.

We’re proud of our people-centric culture which has led us to being 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 committed to ensuring that at Admiral, progression is not slowed or haltered by barriers related to protected characteristics.

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