Data Scientist

Apollo GraphQL

Apollo, a distinguished (re)insurer established in 2009, delivers premium products and services within Lloyd's. Inspired by Neil Armstrong, the company has grown into a team of over 270 professionals focusing on resilience and sustainability. The Data Scientist role is instrumental in advancing Apollo's data-centric decision-making and delivering cutting-edge insights across the business.

In this role you can expect to have the responsibilities:

• Build lasting relationships with business teams, understanding their needs and providing analytical expertise.
• Enhance business outcomes through advanced analytics and data exploration.
• Lead in the community of analysts, sharing knowledge and promoting a data-driven culture.
• Conduct exploratory data analysis to discern patterns and trends.
• Develop, implement, and maintain machine learning algorithms and models.
• Apply problem-solving skills to create strategic and tactical solutions.
• Engage in data cleansing, feature engineering, and evaluation of third-party data sets.
• Promote best practices in data management and governance.
• Stay updated on data science advancements and contribute to team policies.

This role comes with the following benefits:

• Competitive salary with discretionary bonus.
• 31 days of annual leave.
• Non-contributory pension.
• Private medical insurance.

This role requires you to have:

• Significant experience in data science and advanced analytics.
• Proficiency with scripting languages such as Python, SQL, and R.
• Strong knowledge of statistical and machine learning libraries.
• Expertise in model development, testing, and monitoring.
• Experience in financial or insurance industries, especially the Lloyd's Market.
• Excellent stakeholder management and communication skills.

You would benefit from having:

Apollo embraces diversity and inclusion, promoting a supporting environment for all. The company offers flexible and hybrid working arrangements to support work-life balance.