Data Science Director

2 weeks ago

London, Greater London, United Kingdom Concirrus Full time
Concirrus

We are the leading data and analytics platform for specialty and commercial insurance globally.

Our mission is to revolutionise the insurance industry by simplifying and streamlining insurance operations with cutting-edge technology. We have been focused on the risk management and pricing parts of the market but we're now expanding our focus.

The Role

This is a role for someone to take on the leadership of an existing and well-established team of data scientists and data engineers in a company offering a range of AI & ML based solutions into the insurance market. The ideal candidate will be able to demonstrate a deep understanding of AI and ML technologies. Coupled with a sense of urgency and pragmatism, they will have the ability to translate these insights into a strategic vision that positions us at the forefront of our industry.

Responsibilities

Team Leadership:
  • Lead and mentor a cross-functional team of date scientist and data engineers, and coordinate with engineering to deliver high-quality products on schedule.
  • Foster a collaborative and innovative work culture that embodies the company's values.
  • Lead by example when it comes to our leadership principles.
  • Develop and report on key KPIs within Data Science that drive the success of the business.
Stakeholder Collaboration:
  • Collaborate with our Product and Commercial leaders to develop compelling offerings that drive revenue and customer benefits.
  • Work closely with Engineering team to make sure that output of Data Science team work can be injected into our product offerings.
  • Be comfortable in front of customers and instill confidence with your ability to understand customer needs and convey complex concepts in a simple manner.
  • Engage with key stakeholders, including executives, to communicate Data Science strategy, progress, and results.
  • Be an authoritative voice within the business to represent the needs of the market and the value that our products can offer.
Requirements
  • Machine Learning Expertise: Deep understanding of machine learning algorithms, principles, and their application.
  • Insurance Risk Modelling Expertise: Deep understanding of insurance risk models, actuarial science, and the ability to apply statistical and machine learning techniques to assess and predict risk in the insurance domain.
  • Insurance Domain Expertise: In-depth understanding of the insurance sector. Ability to leverage this expertise to drive data-driven decision-making and to develop models that reflect the nuances of insurance risk and customer behavior.
Benefits

As well as the opportunity to work in a fast-paced, dynamic environment, we like to look after our team members at Concirrus. Here are some of our perks...
  • We pay competitively with regular pay reviews.
  • Tax efficient Pension Scheme with 5% matched contribution.
  • Private medical insurance from Vitality Healthcare.
  • Life insurance AIG Life.
  • Learning & Development fund for all employees.
  • 25 days annual leave (plus public holidays).
  • Modern offices close to Liverpool Street Station.
  • Coffee and snacks are all on hand in the office to keep you fueled.
  • Monthly team drinks, birthday cakes and social events.
  • Season Ticket Loan and Cycle2Work schemes, plus seasonal flu vaccinations.
  • Plus, we're always on the lookout for creative ways to look after our employees and encourage them to come to us when they have an idea or need.

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