Data Scientist

Step into the spotlight as a Data Scientist in our UK Commercial Customer Analytics team, where you'll collaborate with cross functional partners to uncover business challenges, design bold data experiments, and build predictive models that drive smarter decisions.

Your expertise in statistical analysis, machine learning, and data visualisation will transform complex datasets into powerful insights, shaping strategy and customer experience across the business.

With a sharp analytical mindset, exceptional problem-solving skills, and the ability to communicate findings clearly to both technical and non technical audiences, you'll play a pivotal role in turning data into impact and innovation.

This will be a hybrid role based out of our Guildford office.

Pay: Circa £50,000 per year

Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.

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• Work closely with business stakeholders to understand data requirements and formulate data-driven solutions to address specific challenges or opportunities.
  
• Analyse large and complex datasets to identify patterns, trends, and opportunities for optimisation.
  
• Develop and implement advanced machine learning models for predictive analytics.
  
• Conduct statistical analysis and hypothesis testing to validate model performance and make data-driven recommendations.
  
• Collaborate with data engineers to integrate data from various sources and ensure data quality and consistency.
  
• Create data visualisations and dashboards to communicate insights effectively to stakeholders.
  
• Stay up-to-date with the latest data science techniques, tools, and best practices and proactively apply them to enhance our data science capabilities.
  
• Participate in cross-functional projects and contribute to the development of innovative data-driven strategies.
  
• Document methodologies, experiments, and results to ensure the reproducibility of analyses.
  

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• Proven experience as a Data Scientist, with a strong track record of developing analytical models and generating data-driven insights - essential.
  
• Proficiency in programming languages such as Python, R and SQL and experience with data manipulation and analysis libraries - essential.
  
• Solid understanding of statistical analysis, hypothesis testing, and experimental design.
  
• Experience with machine learning algorithms and frameworks (e.g., AzureML, TensorFlow, Keras, PyTorch).
  
• Familiarity with data visualisation tools (Plotly, Seaborn, PowerBI) to create informative visualizations.
  
• Strong problem-solving skills and the ability to translate business challenges into data science solutions.
  
• Excellent communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
  
• Experience with Azure cloud platforms (Azure ML, Synapse, AI Foundry)
  

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• Knowledge of big data technologies (e.g., Hadoop, Spark) is an advantage.
  

We support the government scheme "Access to Work" please feel free to ask us about the access to work scheme.

Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from- so you can pick a package that's perfect for you. We also offer flexible working options, global career opportunities across the wider Allianz Group, and fantastic career development and training. That's on top of enjoying all the benefits you'd expect from the world's number one insurance brand, including:

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• 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
  

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.

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.

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.

Matthew McKevitt

If you are an at-risk candidate facing potential redeployment, please include this information in your CV.

Closing date 31/12/2025

We reserve the right to close the advert early if we reach enough applications.

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