Data Science Manager

Company Description/ Business Unit

Location: London (Hybrid)
Additional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical Insurance
Employment Type: Full Time, Permanent

Thought The AA only provide roadside assistance? Think again.

For over 100 years, we’ve continued to evolve and adapt. Today, as the nation’s number one motoring organisation, we offer a range of excellent products and services to millions of customers from roadside assistance to home and motor insurance as well as providing the latest driving technologies. As we continue to expand, diversify, and modernise, joining us as Data Science Manager, you’ll play a key part to our success and join us on this exciting motoring journey.

This is the job

As our Data Science Manager, you will be instrumental in advancing data processes and ensuring the highest standards of data quality and integrity to support the achievement of AA Technical Solutions' goals. Your responsibilities will include leading the design, development, and implementation of predictive models and machine learning algorithms to enhance pricing optimisation strategies.

What will I be doing?

• Lead the development and implementation of predictive models and machine learning algorithms for enhanced pricing optimisation, ensuring robustness, scalability, and compliance with regulatory standards.
• Employ advanced data analytics to derive actionable insights from complex datasets.
• Collaborate effectively with teams across pricing, underwriting, product management, and IT to ensure data science initiatives are in alignment with business objectives.
• Communicate analytical findings in a clear manner to stakeholders with varying levels of technical expertise.
• Maintain the highest standards of data integrity, accuracy, and security in all analytical and modelling activities.
• Keep informed of the latest trends and advancements in data science, machine learning, and insurance pricing methodologies.

What do I need?

Capability, Knowledge and Experience:

• Data Science Expertise: Significant experience in data science, particularly in pricing within the insurance sector.
• Technical Proficiency: Skilled in programming languages including Python, R, and SQL.
• Statistical and Analytical Acumen: Solid understanding of statistical modelling, machine learning, and data visualization techniques.
• Advanced Technology Familiarity: Familiarity with big data frameworks and cloud services like Hadoop, Spark, AWS, and Azure is advantageous.
• Business Analysis: Proven track record of interpreting business challenges into analytical strategies and solutions.
• Communication Excellence: Exceptional verbal and written communication abilities, capable of simplifying complex data for diverse audiences.
• Collaborative Spirit: Strong team player, adept at working with cross-functional groups to achieve common goals.

Desirable:

• Insurance Sector Experience: Prior experience in the insurance industry, especially in insurance pricing.
• Databricks Knowledge: An understanding of Databricks and its applications.

Additional information

We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:

• 25 days annual leave plus bank holidays + holiday buying scheme
• Worksave pension scheme with up to 7% employer contribution
• Free AA breakdown membership from Day 1 plus 50% discount for family and friends
• Discounts on AA products including car and home insurance
• Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
• Diverse learning and development opportunities to support you to progress in your career
• Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

Plus, so much more!

We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.