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About the Role
This role involves using machine learning and insurance market knowledge to optimize pricing for leading retail motor brands. You will lead projects, communicate results to stakeholders, and act as a subject matter expert, providing training and mentoring to colleagues.
Responsibilities
- Develop and implement price optimisation across leading retail motor brands: LV, Allianz Online, and Britannia Car.
- Plan and lead projects, bringing together technical experts.
- Communicate results to stakeholders across the business.
- Act as a consultant to teams across Pricing.
- Provide training and mentoring to upskill colleagues.
- Bring together all elements of the price.
- Collaborate with experts in teams across pricing.
- Contribute to Allianz’s pricing strategy.
- Apply expertise to the full model building workflow – from data extraction to model deployment.
- Explain complex results to non-technical audiences.
- Coordinate project teams of technical experts.
- Share in-depth knowledge to inform and inspire others through training and mentoring.
Requirements
- Experience working in insurance and data science.
- Experience in an insurance pricing role creating and using predictive models in a programming language such as WTW Emblem, WTW Radar, or Python.
- Proficiency in data pipeline and analysis tools, e.g. Databricks, SQL, PySpark, or equivalent.
- Capability to review and sign-off other team members’ data pipelines, models and analyses.
- Knowledge of price optimisation and the UK regulatory environment.
- Extensive understanding of modelling techniques, including GLMs and GBMs.
- Proven ability in Willis Towers Watson’s software Radar, using the latest functionality and championing best practice.
- Proficiency in Excel and MS Office applications.
- Ability to build and maintain relationships throughout both the Pricing Department and the wider business.
- Experience of planning and managing projects from inception to completion within business timelines.
- Comprehensive understanding of the factors that affect an insurance price and the elements of a customer lifetime value.
- Comprehensive experience of price optimisation in personal lines insurance.
- Experience of responsible Artificial Intelligence usage for pricing and personal productivity tasks (e.g. coding).
- Knowledge of Agile project management tools and processes, e.g. Jira.
Skills
- Machine learning techniques
- Insurance market knowledge
- Predictive models
- WTW Emblem
- WTW Radar
- Python
- Databricks
- SQL
- PySpark
- Price optimisation
- UK regulatory environment
- GLMs
- GBMs
- Excel
- MS Office applications
- Stakeholder management
- Artificial Intelligence usage
- Agile project management
Location
- London
Work Type
- Hybrid
- Full-Time
- Permanent
Experience Level
- Principal
Salary/Compensations
- Circa £64,000 per year
Benefits
- Global training through the Allianz P&C Academy
- Premium access to platforms like DataCamp, Databricks Academy, and LinkedIn Learning
- Insight sessions
- Flexible buy/sell holiday options
- Annual performance related bonus
- Contributory pension scheme
- Development days
- A discount up to 50% on a range of insurance products including car, home and pet
- Retail discounts
- Volunteering days
- Flexible working options
- Global career opportunities across the wider Allianz Group
- Fantastic career development and training
About the Company
- At Allianz UK, your growth is our priority.
- By working in the Optimisation team, you’ll be bringing together all the elements of the price, collaborating with experts in teams across pricing, contributing the Allianz’s pricing strategy, and opening doors for future career opportunities both in Allianz UK and globally.
- At Allianz, we are signatories of the ABIs flexible working charter.
- We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements.
- Our aim with this is to help innovation, creativity, and you to thrive - Your work life balance is important to us.
- At Allianz, we are committed to fostering building an inclusive, accessible workplace where everyone can thrive.
- As a Disability Confident employer, we welcome applications from disabled and neurodivergent candidates and offer tailored adjustments throughout the recruitment process and in the workplace, whether that’s assistive technology, ergonomic equipment, flexible working arrangements, mentoring or coaching.
- We want to encourage candidates to speak with us about any adjustments they may need. We’re here to support you.
Equal Opportunity
- As a Disability Confident employer, we welcome applications from disabled and neurodivergent candidates and offer tailored adjustments throughout the recruitment process and in the workplace, whether that’s assistive technology, ergonomic equipment, flexible working arrangements, mentoring or coaching.
- If you have a disability or long‑term health condition and meet the essential criteria, you can choose to be considered through our Offer an Interview Scheme.