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- Tasks: Develop and deploy data science algorithms to solve business problems and enhance customer experience.
- Company: Join the AA, a leader in data innovation within the insurance sector.
- Benefits: Enjoy competitive salary, dynamic working, and opportunities for professional growth.
- Why this job: Be part of a transformative journey leveraging data as a superpower in a collaborative environment.
- Qualifications: Proficiency in Python, SQL, and machine learning; strong analytical and communication skills.
- Other info: Dynamic role with excellent career progression and a focus on continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
Location: Basingstoke or London (dynamic working)
Employment Type: Permanent, full time
Grade: L7M
Business Area/Function: Data & Analytics – Insurance (COO)
This is the job
The AA has an enviable set of data assets and ‘Data as our new Superpower’ is a transformation journey our organisation is on with investment in progress to completely modernise our data estate and tools. As a business, we are also investing in a new AI Centre of Excellence and this role will be pivotal in the enablement of AI capability.
As a Data Scientist, you will be part of the AA’s central Data team delivering data science algorithms and solutions for business users. Collaborating with analysts, BI developers, engineers and our AI Centre of Excellence, you will develop and deploy data science capabilities that drive incremental revenue, improve customer experience, and optimise business performance.
The problems you will work on may be highly varied spanning areas like forecasting, optimisation and modernisation of our roadside operation and deployment; commercial product upsell and cross-sell; churn risk and customer lifetime value; marketing segmentation and personalisation etc.
Your work will support the data science and machine learning operations (ML Ops) vision and contribute to the development of scalable data products, fully deployable across a variety of systems and channels to support the AA’s customers and optimise business operations.
What will I be doing?
- Build and deploy statistical models to support product development, demand forecasting and value driver analysis utilizing a variety of modelling and machine learning techniques where appropriate.
- Interpret and solve high-value business problems using data mining, models, and technology-based algorithmic solutions (e.g., RPA, generative AI and LLM).
- Collaborate with architecture and engineering teams to design and embed algorithms that will work into AA platforms and products.
- Conduct analysis to uncover trends, evaluate scenarios, and assess risks.
- Work closely with the wider Data team to onboard and explore new sources of data relevant for work delivery.
- Have good knowledge of the data and business processes within the business domain you are working with, understanding the data lineage and ensuring the use of the data is appropriate and has integrity.
- Clearly communicate outputs through presentations, workshops and conversations with key stakeholders.
- Maintain strong relationships with stakeholders, peers and SMEs.
- Responsible for the quality of outputs and products delivered in a timely manner.
- Adhere to relevant published frameworks, including architectural principles and patterns, release processes and peer review.
- Support the continuous improvement culture in the team.
- Support the development of feature stores and data pipelines.
- Maintain professional competence and keep up to date with major developments in the relating business area and data science techniques as part of a continuous learning culture.
- Ensure data integrity and relevance in all modelling and reporting activities.
- Maintain awareness of GDPR and data governance standards.
What do I need?
- Advanced analytical skills including the ability to apply a range of analytics, visualisation and data science techniques.
- Proficiency in Python, SQL, and statistical modelling techniques.
- Experience with machine learning algorithms and data science tools.
- Can structure large ill-defined business problems into a clear and concise set of issues.
- Good communication skills; comfortable presenting & engaging groups of senior clients.
- Ability to build and maintain relationships across teams and departments.
- Writes efficient and well-structured SQL and can prototype new metrics.
- Familiarity with Databricks, Unity Catalog, and agile delivery tools (e.g., GIT, JIRA).
- Proficient in Microsoft Office; including advanced Excel.
- Understanding of GDPR and data governance.
- Experience in operational research and business modelling is a plus.
Education & Qualifications
- Numerate degree with a large amount of content covering advanced analytics, data science and/or operational research, or highly relevant experience.
Personal Characteristics
- Articulate and persuasive communicator.
- Curious, proactive, and resilient.
- Strong initiative and ability to manage competing priorities.
- Highly numerate with good data interpretation and presentation skills.
- Comfortable working under pressure and to tight deadlines.
- Concise and articulate when explaining to others.
By applying for this position, you acknowledge that there may be potential changes to the terms and conditions of your employment contract. This includes accepting the 25 days annual leave entitlement that this position has.
Data Scientist – Insurance in Basingstoke employer: Automobile Association
Contact Detail:
Automobile Association Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Insurance in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the AA. Building relationships can often lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those relevant to the insurance sector. This will give you an edge and demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Make sure you can explain your thought process clearly, as communication is key in this role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the AA team.
We think you need these skills to ace Data Scientist – Insurance in Basingstoke
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with Python, SQL, and any machine learning projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our AI Centre of Excellence. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've got any cool projects or case studies, don’t hesitate to include them! We love seeing practical applications of your skills, especially if they relate to forecasting or optimisation in a business context.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Automobile Association
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques, especially in Python and SQL. Be ready to discuss specific algorithms you've used and how they solved real business problems. The more you can relate your experience to the job description, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex business problems in the past. Use examples that highlight your analytical skills and ability to structure ill-defined issues into clear solutions. This will demonstrate your fit for the role and your understanding of the challenges they face.
✨Communicate Clearly and Confidently
Since you'll be presenting to stakeholders, practice explaining your work in a way that's easy to understand. Use visuals if you can, and be prepared to answer questions. Good communication is key, so show them you can engage with both technical and non-technical audiences.
✨Understand the Business Context
Familiarise yourself with the insurance industry and the specific challenges the AA faces. Knowing about their data assets and how they plan to use AI will help you tailor your answers and show that you're genuinely interested in the role and the company.