Lead Data Scientist in Guildford

Lead Data Scientist in Guildford

Guildford Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Ultimate.ai

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 data-driven decisions and enhancing 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.

Closing Date 28/05/26 Join us – Let’s Care for Tomorrow.

Lead Data Scientist in Guildford employer: Ultimate.ai

Allianz is an exceptional employer that prioritises a collaborative and inclusive work culture, offering flexible hybrid working arrangements to support your 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.

Ultimate.ai

Contact Details:

Ultimate.ai Recruitment Team

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 employees at Allianz on LinkedIn or through industry events. 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. Be ready to discuss your experience with Python, SQL, and advanced analytics. Show them you can lead the charge in data science and make a real impact!

Tip Number 3

Don’t just talk about your past projects; bring them to life! Use examples that highlight your leadership in analytics delivery and how you’ve turned complex data into actionable insights. Make it relatable!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of a community that values collaboration and growth, just like we do at StudySmarter.

We think you need these skills to ace Lead Data Scientist in Guildford

Data Exploration
Predictive Modelling
Machine Learning Solutions
Technical Leadership
Coaching and Mentoring
Stakeholder Engagement
Exploratory Analysis

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Data Scientist role. Highlight your technical expertise in Python and SQL, and any relevant projects that showcase your ability to deliver advanced analytics solutions.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for our Customer Analytics team. Share specific examples of how you've led analytics projects and collaborated with stakeholders to drive business value.

Showcase Your Leadership Skills:Since this is a senior role, emphasise your experience in mentoring and coaching others. We want to see how you've fostered team growth and collaboration in previous positions.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for all the fantastic opportunities we have at Allianz.

How to prepare for a job interview at Ultimate.ai

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 led projects through these stages and the impact they had on decision-making.

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 well as discuss any predictive models you've built and deployed in production.

Communicate Clearly

Practice explaining complex concepts in simple terms. Since you'll be working with both technical and non-technical stakeholders, being able to translate analytical findings into actionable insights is crucial.

Emphasise Collaboration and Mentorship

Highlight your experience in coaching and mentoring team members. Allianz values a collaborative culture, so share specific examples of how you've fostered teamwork and continuous improvement within your previous roles.