Purpose of the Role

Ownership, development and enhancement of Data Science projects such as Algorithmic Risk Ranking, Digital-Follow, Machine Learning Profitability Analysis and Pricing. Enhance the Data Science capability of the business to help the underwriting teams with insights, improve risk selection and profitability, and aid automation / efficiencies where possible across departments.

Along with the Data Analytics Manager they will be responsible for defining the strategic data requirements for delivery of data consumption use cases. Build out Data Science use cases and help integrate them into data assets, dashboards and ‘The Underwriter Workbench’. The holder of this role will be comfortable interacting with all front-line underwriters, data engineers and technology departments. They will need to capture, prioritise and document business and technical requirements, leading to the deployment of automated, optimised and highly effective analytics solutions.

The holder of this role will have strong data science and programming skills with additional statistical, data manipulation and data analysis capability. This all-round knowledge will be key to ensure effective communication and collaboration with the Data Analytics and Actuarial teams. They will also need to contribute to management and board level reports and demonstrate strong team management skills.

Duties and Accountabilities

Leads the data science capability of the business which will drive:
Data lead algorithms to enhance underwriter decision making e.g. Risk Ranking, a machine learning framework that enables underwriters to assign objective risk grades based on known risk characteristics.
Partner with the Digital Trading team to lead and build out early successes in the new Digital-Follow channel; analysing the profitability of portfolios using Broker data and building out an optimised digital rule set, given internal risk appetite constraints.
Work alongside the actuarial team to help refine pricing models and incorporate new statistical techniques to improve, monitor and assess the adequacy and efficacy of pricing models.
Use AI techniques to refine, automate and enhance data pipelines and analysis e.g. Cause of loss Classification analysis.
Work with Data Analysts and Actuaries to research, identify, cleanse, analyse, visualise and draw insights from external data sources.
Work with the Head of Data Analytics and Portfolio Underwriting to support and promote the team’s capabilities and insights.
Sit on a ‘Design Authority Group’ and work alongside Engineering and Technology to build out Data Science models and systems for business products / use cases.
Work with the actuaries and sit on the Pricing Working Group to help advance statistical methods and Data Science work within the Technical Rating Models. Maintain a formal approval role with regards to proposed model changes.
Accountability in managing a team of Data Scientists, helping to organise and prioritise the team’s projects and workloads.
Work with the Data Analytics Manager to define the strategic data requirements for delivery of analyses and use cases. Particular accountabilities for the Data Science Manager:
- Collaborate with technical and non-technical stakeholders to identify, document, analyse, and prioritise data requirements.
- Facilitate communication and coordination with the IT team and Data Engineer to design effective data solutions that meet business needs.
- Create high-quality deliverables such as reporting specifications and visualisations.
- Collaborate with the I.T Team to establish and maintain best practices and operational procedures for effective data management within the organisation.

Skills, Knowledge and Experience

The successful candidate will have/be:

Strong management track record
Proven stakeholder management including engagement with technical experts and senior management
An expert in data science techniques
Advanced programming skills (Python an advantage)
Strong statistical, data manipulation and data analysis skills
Strong academic background
Experience in dealing with Data Engineers, Architects and Technology experts
Significant years of experience in Data Science / Actuarial, preferably in a Lloyd's environment
Highly proficient in required IT packages
Good organisation and planning
Good written and face to face communication skills
Experience in a similar role supporting the development of data consumption use cases
Experience working with Azure data technology stack such as Data Factory, SQL, Synapse Analytics, PowerBI an advantage

AEGIS Values

Fairness and respect

We make decisions considering the best interests of key stakeholders. We are direct and straightforward in our actions, working collaboratively to create a culture of fairness and respect.

Open and inclusive

We act with integrity, valuing diversity of thought and background. We take time to listen to the needs of our customers, stakeholders and colleagues working together to seek and share information.

Ambitious

We have a passion for success, aspiring to be recognised as best in class. We embrace new opportunities, encouraging innovation in pursuit of our goals.

Striving to be better

We strive to improve at all times, challenging complacency, being agile and adapting to change. We always seek to improve our customers’ experience with us.

Investing in people’s potential

We provide an environment where each employee can reach their personal potential. We encourage personal accountability for performance and individual ownership for growth and success.

AEGIS London is an equal opportunities employer and recognises the value of a diverse workforce in facilitating better decision making and business growth. We encourage a variety of differing views, perspectives and insights to create a collaborative working environment. Diversity and Inclusion are fundamental to our business and we encourage applications from all backgrounds recognising the diversity of society and our customers.

It’s important to us that you are able to perform at your best when applying for a role with AEGIS London. If there are any adjustments we can reasonably make to ensure that the process is accessible for you please telephone us on +44(0)20 7856 7856 or email recruitment@aegislondon.co.uk

As a business, we understand individual circumstances may differ and aim to be adaptable and to support flexible working practices. Talk to our recruitment team to understand how AEGIS London can help support you in reaching your full potential

Data Manager jobs

Data Science Manager