Description:
What you'll be doing:
- Be a thought leader in both traditional and new Data Science and Artificial Intelligence.
- Proactively share analytics knowledge and train colleagues to be capable of delivery value through advanced techniques, including AI and ML.
- Line and delivery management of team members to deliver valuable analytics and support their development.
- Oversee the effectiveness of the team's analytics models, including AI & ML models, and develops the team's ability to apply statistics, data mining and predictive modelling techniques to gain insights, predict behaviours and generate value.
- Provide a work environment and resources that allow individuals and workgroups to perform their tasks efficiently, and encourages transparency, open communication, and high levels of engagement.
- Delivery of analytics models to provide value to AXA customers and the organisation. This includes the design, build, and product ionisation of Generative AI models and products.
- Undertake and supports team members in the refinement of requirements, whilst also, validating, training and evolving models over time to discover deeper insights, make predictions, or generate recommendations.
- Lead the monitoring and maintenance of productionised models to deliver high-quality, reliable analytics products.
- Stakeholder engagement to keep up to date on AXA, maintain relationships, and develop opportunities to provide value to customers, colleagues, and the business.
Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we're able to effectively manage interest. Therefore, if you're interested in joining us at AXA, please don't hesitate to apply.
About you
What we’re looking for:
- Skilled in assessing and providing guidance on the performance of AI and machine learning models, including their effectiveness and the application of various advanced techniques such as statistics, data mining, predictive modelling, generative AI, and more.
- Working experience of investigating business opportunities, developing hypotheses, and leading analytics projects to robust, scientific standards.
- Strong experience in applying AI and machine learning techniques to new and existing problems and datasets as well as assessing whether AI and Machine Learning is likely to provide an effective solution using specialised programming techniques and languages including Python, R, and SQL.
- Familiar in working with Cloud, Storage, and ML tools and technologies such as GCP, Azure, ML services, Databricks, Vector DB, MongoDB.
- Demonstratable understanding of delivering and leading through MLOps and embedding and integrating models into operationalised processes and software.
- Knowledgeable and experienced in productionising analytics products at different scales and in different systems, to a consistently reliable standard.
- Ability to lead a small team of Data Scientists including the management of the team’s operational delivery and capability development.
- Drive to continually develop skills, learn new analytics techniques and technologies, and keep up to date with developments in the analytics landscape.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.