At a Glance
- Tasks: Lead the design and delivery of advanced analytics and machine learning solutions.
- Company: Join Allianz, a leader in customer analytics with a collaborative culture.
- Benefits: Enjoy flexible working, competitive salary, and professional development opportunities.
- Other info: Inclusive workplace with a commitment to diversity and career growth.
- Why this job: Make a real impact by driving insights and improving customer outcomes.
- Qualifications: MSc/PhD in a quantitative field and strong skills in Python and SQL.
The predicted salary is between 70000 - 90000 £ per year.
Allianz are looking for a Lead Data Scientist to join our Customer Analytics team in Guildford or London on a hybrid basis. This senior leadership role sits within a multidisciplinary analytics team, driving the design, delivery, and deployment of advanced analytics and machine learning solutions to support decision‑making, improve performance, and enhance customer outcomes. You will lead across the full analytics lifecycle—from data exploration and modelling through to production—while providing technical leadership, coaching, and strong governance across data science delivery.
At Allianz, we champion a collaborative, inclusive, and agile culture where every voice matters. Our flexible working arrangements support work life balance, alongside strong investment in professional development and career growth within a world‑class analytics community.
About You
- Lead high‑impact analytics delivery: Own the design and implementation of predictive models and advanced analytics, ensuring outputs are robust, production‑ready, and deliver measurable business value.
- Provide technical leadership: Set standards for modelling, experimentation, and deployment while acting as a senior authority and mentor to data scientists.
- Translate business needs into solutions: Partner with stakeholders to turn strategic objectives into clear analytical approaches, balancing performance, explainability, and practicality.
- Drive insight through data & experimentation: Lead exploratory analysis, prototype development, and evaluation of modelling approaches, communicating findings to both technical and non‑technical audiences.
- Ensure governance, quality & compliance: Maintain high standards across code, documentation, validation, and model risk management, ensuring all solutions meet regulatory and internal requirements.
- Enable team growth & collaboration: Coach and mentor team members, foster continuous improvement, and work closely with engineering and MLOps teams to operationalise scalable analytics solutions.
Essential Skills
- Strong academic or equivalent experience: MSc/PhD in a quantitative discipline (e.g. Statistics, Computer Science, Applied Maths)
- Advanced technical skills: Deep proficiency in Python and SQL, with experience using modern data tools and cloud platforms such as AzureML.
- Proven delivery experience: Track record of building and deploying predictive models and advanced analytics solutions in production environments.
- End‑to‑end analytics expertise: Strong understanding of the full data science lifecycle, from data preparation and modelling to deployment and monitoring.
- Data & problem‑solving capability: Skilled at working with complex, multi‑source datasets and overcoming data quality challenges.
- Collaborative and communicative approach: Excellent communicator able to explain complex concepts clearly, with experience in agile teams and a strong commitment to governance and responsible data use.
Desirable Skills
- Experience in general insurance, particularly commercial lines.
- Exposure to regulated or controlled environments requiring model governance and explainability.
- Practical experience applying Responsible AI principles.
What We Will Offer You
- Flexible buy/sell holiday options
- Hybrid working
- 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
Our Ways of Working
Do you need flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen. Here 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.
Integrity, Fairness, Inclusion & Trust
At Allianz, we believe in fostering an inclusive workforce and are proud to be an equal opportunity employer. Our commitment to equal opportunities, gender equity, and balanced gender representation is demonstrated by our numerous accreditations: EDGE certified for gender inclusion, Women in Finance Charter members, Disability Confident employer, Stonewall Diversity Champion, Business in the Community’s Race at Work Charter signatories, and Armed Forces Covenant gold standard employer. We embrace neurodiversity and welcome applications from neurodivergent and disabled candidates, offering tailored adjustments to ensure your success. We encourage our employees to advocate for their needs, whether it’s assistive technology, ergonomic equipment, mentoring, coaching, or flexible work arrangements.
Accessible Application for All
As part of the Disability Confident Scheme, we support candidates with disabilities or long‑term health conditions through the Offer an Interview Scheme, for those meeting the essential skills for the role. Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications.
Contact & Closing Date
Closing date 28/05/26. For any inquiries or to submit your application, please contact: Matthew Mckevitt. HR‐recruitment@allianz.co.uk.
Lead Data Scientist in Guildford employer: Allianz UK
Allianz is an exceptional employer that prioritises a collaborative and inclusive work culture, offering flexible hybrid working arrangements to support work-life balance. With a strong commitment to professional development, employees have access to extensive growth opportunities within a world-class analytics community, alongside a comprehensive benefits package that includes performance-related bonuses and generous discounts on insurance products. The company's dedication to integrity, fairness, and diversity ensures that every voice is valued, making it a rewarding place for talented individuals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in Guildford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Allianz on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves advanced analytics and machine learning, be ready to discuss your experience with Python, SQL, and any relevant projects you've led.
✨Tip Number 3
Show off your leadership skills! Be prepared to share examples of how you've mentored others or led teams in past roles. Allianz values collaboration, so highlight your ability to work well with diverse teams.
✨Tip Number 4
Don’t forget to express your passion for data and its impact on business decisions. Allianz is looking for someone who can translate complex data into actionable insights, so make sure to convey your enthusiasm during the interview!
We think you need these skills to ace Lead Data Scientist in Guildford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Lead Data Scientist role. Highlight your experience with predictive models and advanced analytics, and don’t forget to showcase your technical skills in Python and SQL!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain how your background aligns with Allianz's goals. Mention your leadership experience and how you can drive insight through data and experimentation.
Showcase Your Collaborative Spirit:At Allianz, teamwork is key! In your application, share examples of how you've worked with stakeholders or mentored team members. This will show that you’re not just a tech whiz but also a great collaborator.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our culture!
How to prepare for a job interview at Allianz UK
✨Know Your Data Science Lifecycle
Make sure you can confidently discuss the full analytics lifecycle, from data exploration to deployment. Be prepared to share examples of how you've successfully navigated each stage in your previous roles.
✨Showcase Your Technical Skills
Brush up on your Python and SQL skills before the interview. Be ready to demonstrate your proficiency with modern data tools and cloud platforms like AzureML, as these will be crucial for the role.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll need to communicate findings to both technical and non-technical audiences, being able to articulate your insights clearly will set you apart.
✨Emphasise Collaboration and Leadership
Highlight your experience in mentoring and leading teams. Allianz values a collaborative culture, so be prepared to discuss how you've fostered teamwork and continuous improvement in your past roles.
