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Data Scientist

ExperiencedNo visa sponsorship
AXA logo

at AXA

Other

Posted 13 days ago

No clicks

**Data Scientist | AXA UK Support Functions** Join AXA, a global insurance leader, as a Data Scientist to drive data-driven innovation. Using our cloud-based data lake, you'll build machine learning and AI models, turning insights into business opportunities. This role involves collaborating with stakeholders, exploring data sets, and presenting findings. Key responsibilities include eliciting requirements, developing predictive models, and creating visualizations to support decision-making. The ideal candidate holds a degree in a quantitative field, has experience applying machine learning techniques using Python and SQL, and is familiar with cloud platforms like Azure and Databricks. Proficiency in advanced analytics techniques, such as text mining and neural networks, is desired. This is a hybrid role, requiring a minimum of two days a week in the office, with flexible working explored during the application process. Apply now to grow your skills and help AXA navigate life's uncertainties with data-driven confidence.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United Kingdom

Full Job Description

About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life's uncertainties with confidence. AXA UK Support Functions look after our three customer-facing business units, providing the infrastructure and expertise to make sure we can be there for our customers. Job overview: Join us as a Data Scientist and help solve tough business challenges with data-driven solutions. Using our cloud-based data lake, you'll build advanced machine learning and AI models to improve how the organisation understands and uses data. You'll explore and question data, turning insights into opportunities and supporting smarter decisions. Working alongside your colleagues, you'll develop stories from data that are easy to understand and impactful. We encourage continuous learning through experimentation, helping you grow your skills and business understanding. Youll deliver valuable insights, diagnose issues, and communicate findings clearly to support business success and stakeholder confidence. Key responsibilities: Elicit, specify, and document requirements for straightforward subject areas, ensuring clear boundaries and managing agreed deliverables. Identify, validate, and leverage simple internal and external data sets generated from non-complex processes. Develop, with guidance, predictive and real-time model-based insights to add value and support decision-making. Find, acquire, clean, and integrate data to ensure it is fit for purpose, with support as needed. Collaborate with stakeholders to explore data, formulate hypotheses, and use models and analytic tools to uncover insights. Apply a range of basic analytical techniques, including data mining, pattern matching, forecasting, visualisation, and simple machine learning. Independently develop basic machine learning models to generate insights, predict behaviours, and create value. Present data insights visually and creatively to help both technical and non-technical audiences understand findings and support decision-making. Work arrangements: At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events. Were also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. Your skills & experience: Degree in computer science, mathematics, statistics, operations research, or a related quantitative field. Hands-on experience applying machine learning techniques to new data and problems, using Python and SQL in regulated environments. Problem-solver capable of diagnosing issues in machine learning systems and data, with practical suggestions for improvements. Familiar with cloud and machine learning platforms like Azure, ML services, and Databricks, and understanding their real-world applications. Skilled at creating clear reports and publishing model results that meet customer needs and organizational standards. Able to design, code, test, and refine simple programs or scripts, delivering high-quality, reliable results. Knowledge of advanced analytics techniques such as data/text mining, pattern recognition, forecasting, sentiment analysis, neural networks, and more. Team-oriented with proven ability to collaborate, prototype solutions, monitor progress, and troubleshoot during development. As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. How to apply: To apply, click on the apply now button, youll then need to log in or create a profile to submit your CV. Were proud to be an Equal Opportunities Employer and dont discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, were proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to leanne.white@axa-insurance.co.uk. We encourage you to apply for this opportunity as soon as possible, as we may close this advert earlier than the listed closing date. #LI-DNI

Data Scientist

Compensation

Not specified

City: Not specified

Country: United Kingdom

AXA logo
Other

13 days ago

No clicks

at AXA

ExperiencedNo visa sponsorship

**Data Scientist | AXA UK Support Functions** Join AXA, a global insurance leader, as a Data Scientist to drive data-driven innovation. Using our cloud-based data lake, you'll build machine learning and AI models, turning insights into business opportunities. This role involves collaborating with stakeholders, exploring data sets, and presenting findings. Key responsibilities include eliciting requirements, developing predictive models, and creating visualizations to support decision-making. The ideal candidate holds a degree in a quantitative field, has experience applying machine learning techniques using Python and SQL, and is familiar with cloud platforms like Azure and Databricks. Proficiency in advanced analytics techniques, such as text mining and neural networks, is desired. This is a hybrid role, requiring a minimum of two days a week in the office, with flexible working explored during the application process. Apply now to grow your skills and help AXA navigate life's uncertainties with data-driven confidence.

Full Job Description

About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life's uncertainties with confidence. AXA UK Support Functions look after our three customer-facing business units, providing the infrastructure and expertise to make sure we can be there for our customers. Job overview: Join us as a Data Scientist and help solve tough business challenges with data-driven solutions. Using our cloud-based data lake, you'll build advanced machine learning and AI models to improve how the organisation understands and uses data. You'll explore and question data, turning insights into opportunities and supporting smarter decisions. Working alongside your colleagues, you'll develop stories from data that are easy to understand and impactful. We encourage continuous learning through experimentation, helping you grow your skills and business understanding. Youll deliver valuable insights, diagnose issues, and communicate findings clearly to support business success and stakeholder confidence. Key responsibilities: Elicit, specify, and document requirements for straightforward subject areas, ensuring clear boundaries and managing agreed deliverables. Identify, validate, and leverage simple internal and external data sets generated from non-complex processes. Develop, with guidance, predictive and real-time model-based insights to add value and support decision-making. Find, acquire, clean, and integrate data to ensure it is fit for purpose, with support as needed. Collaborate with stakeholders to explore data, formulate hypotheses, and use models and analytic tools to uncover insights. Apply a range of basic analytical techniques, including data mining, pattern matching, forecasting, visualisation, and simple machine learning. Independently develop basic machine learning models to generate insights, predict behaviours, and create value. Present data insights visually and creatively to help both technical and non-technical audiences understand findings and support decision-making. Work arrangements: At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events. Were also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. Your skills & experience: Degree in computer science, mathematics, statistics, operations research, or a related quantitative field. Hands-on experience applying machine learning techniques to new data and problems, using Python and SQL in regulated environments. Problem-solver capable of diagnosing issues in machine learning systems and data, with practical suggestions for improvements. Familiar with cloud and machine learning platforms like Azure, ML services, and Databricks, and understanding their real-world applications. Skilled at creating clear reports and publishing model results that meet customer needs and organizational standards. Able to design, code, test, and refine simple programs or scripts, delivering high-quality, reliable results. Knowledge of advanced analytics techniques such as data/text mining, pattern recognition, forecasting, sentiment analysis, neural networks, and more. Team-oriented with proven ability to collaborate, prototype solutions, monitor progress, and troubleshoot during development. As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. How to apply: To apply, click on the apply now button, youll then need to log in or create a profile to submit your CV. Were proud to be an Equal Opportunities Employer and dont discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, were proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to leanne.white@axa-insurance.co.uk. We encourage you to apply for this opportunity as soon as possible, as we may close this advert earlier than the listed closing date. #LI-DNI