At a Glance
- Tasks: Drive innovative data solutions using advanced analytics and machine learning techniques.
- Company: Admiral is a leading insurance company focused on innovation and diversity.
- Benefits: Enjoy flexible hours, 33-38 days holiday, and a supportive work-life balance.
- Why this job: Join a dynamic team shaping the future of data science in a progressive culture.
- Qualifications: 4-5+ years in Data Science with experience in machine learning and insurance pricing.
- Other info: Hybrid role with office attendance twice a week; mentoring opportunities available.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
Technical Senior Data Scientist employer: Admiral Group plc
Contact Detail:
Admiral Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and AI, especially those relevant to the insurance industry. This will not only help you stand out during discussions but also demonstrate your commitment to staying ahead of the curve.
✨Tip Number 2
Engage with Admiral's existing data science community through social media or professional networks. Building connections can provide insights into the company culture and current projects, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've used machine learning to solve real-world problems, particularly in the insurance pricing domain. Tailoring your experiences to align with Admiral's focus will showcase your relevance for the role.
✨Tip Number 4
Highlight your leadership and mentoring experiences, as these are crucial for the role. Be ready to share how you've developed team members' skills and fostered a collaborative environment, which aligns with Admiral's values.
We think you need these skills to ace Technical Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science, particularly in the insurance pricing domain. Emphasise your skills in machine learning, Python coding, and stakeholder engagement to align with Admiral's requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and innovation. Mention specific projects where you've used advanced analytics to drive business solutions, and express your enthusiasm for contributing to Admiral's mission.
Showcase Your Technical Skills: In your application, clearly outline your technical skills, including your experience with model development, feature engineering, and MLOps. Provide examples of how you've applied these skills in previous roles to solve complex problems.
Demonstrate Leadership and Mentoring: Highlight any experience you have in mentoring or leading teams. Discuss how you've contributed to developing a positive data science culture and how you can bring that experience to Admiral to help grow their team.
How to prepare for a job interview at Admiral Group plc
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models and data science techniques. Highlight specific projects where you've successfully implemented these skills, especially in the insurance pricing domain.
✨Demonstrate Your Problem-Solving Ability
Admiral values natural problem-solvers. Prepare examples of challenges you've faced in previous roles and how you approached them using data-driven insights. This will show your analytical thinking and creativity.
✨Engage with Stakeholders
Since stakeholder engagement is crucial, think of instances where you've collaborated with business leaders. Be ready to discuss how you translated complex data into actionable strategies that benefited the business.
✨Emphasise Your Mentoring Experience
As a senior role, mentoring is key. Share your experiences in guiding team members, fostering their growth, and building a strong data science culture. This will demonstrate your leadership capabilities and commitment to team development.