Senior Data Scientist

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Our vision is to put data at the heart of everything we do, to unleash its potential across the business and enable data-led decisions that will increase the value of our services to clients, colleagues, and communities.

Key Responsibilities:

• Design and develop data science solutions that address opportunities defined across the business.
• Collect, clean, and transform large and complex data sets from various sources to prepare them for analysis and modelling.
• Apply advanced statistical and machine learning techniques to identify patterns, correlations, and trends in the data.
• Build and validate predictive models, algorithms, and statistical analyses, ensuring they are robust, scalable, and aligned with business objectives.
• Collaborate with engineering and data platform teams to implement CI/CD pipelines, model monitoring, and automated retraining workflows to ensure business value.
• Utilise data visualisation tools to present findings clearly and concisely.
• Manage own workloads to deliver projects at pace and to a high quality.
• Collaborate and support colleagues from across the business, applying advanced analytical techniques to ensure deeper insights into business processes and clients.
• Share knowledge, techniques, and conduct research to improve and progress the Data & Analytics services.
• Coordinate with analytics colleagues to ensure a consistent approach to the delivery of insights and analytics.
• Develop an understanding of the business, its services, and operations to identify opportunities for improvement based on data and analytics, ensuring that actions and recommendations from analytics are actionable.

About You

Your Role and What You\’ll Be Doing

Our vision is to put data at the heart of everything we do, to unleash its potential across the business and enable data-led decisions that will increase the value of our services to clients, colleagues, and communities.

Key Responsibilities:

• Design and develop data science solutions that address opportunities defined across the business.
• Collect, clean, and transform large and complex data sets from various sources to prepare them for analysis and modelling.
• Apply advanced statistical and machine learning techniques to identify patterns, correlations, and trends in the data.
• Build and validate predictive models, algorithms, and statistical analyses, ensuring they are robust, scalable, and aligned with business objectives.
• Collaborate with engineering and data platform teams to implement CI/CD pipelines, model monitoring, and automated retraining workflows to ensure business value.
• Utilise data visualisation tools to present findings clearly and concisely.
• Manage own workloads to deliver projects at pace and to a high quality.
• Collaborate and support colleagues from across the business, applying advanced analytical techniques to ensure deeper insights into business processes and clients.
• Share knowledge, techniques, and conduct research to improve and progress the Data & Analytics services.
• Coordinate with analytics colleagues to ensure a consistent approach to the delivery of insights and analytics.
• Develop an understanding of the business, its services, and how it operates to identify opportunities for improvement based on data and analytics, ensuring actionable insights and recommendations.

About You

• Expert proficiency in programming languages such as Python, R, or SQL.
• Significant experience with data manipulation, data wrangling, and data visualization tools (e.g., pandas, NumPy, Matplotlib).
• Experience developing and implementing Data Science products in a cloud environment, preferably Azure, using tools such as Databricks, Auto ML, Azure ML, etc.
• Proven experience in deploying and maintaining machine learning models in production, emphasizing MLOps best practices including CI/CD pipelines, model monitoring, and lifecycle management.
• Knowledge of Power BI or other data visualisation tools.
• Experience applying statistical analysis techniques, machine learning algorithms, and predictive modelling, with a track record of moving models from experimentation to deployment.
• Ability to operationalize data science solutions, ensuring models are robust, scalable, and integrated into business processes.
• Strong problem-solving and critical-thinking skills to address business challenges.
• Collaborative mindset and ability to work effectively in cross-functional teams.
• Strong attention to detail and commitment to high-quality results.

Our Benefits – What We Can Offer You

• 25 days holidays plus bank holidays; option to buy up to 35 additional holiday hours.
• Generous and flexible pension schemes.
• Two volunteering days per year for a cause of your choice (fully paid).
• Westfield Health membership, offering refunds on medical services along with Aviva Digital GP services.
• Well-being initiatives supporting mental health, including our Flexible by Choice programme for hybrid working.
• Ranked in the Best Workplaces for Wellbeing for Large Organisations 2024.

We are committed to diversity, inclusion, social responsibility, community investment, and climate action, embedding these principles into our culture and operations.

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