Data Science Manager

Starr Underwriting; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a dynamic Data Science Manager to lead innovative projects that enhance underwriting processes. This role involves collaborating with cross-functional teams to develop data-driven insights and improve risk selection and profitability. The successful candidate will manage a talented team, drive the implementation of advanced analytics solutions, and contribute to strategic decision-making at all levels. If you're passionate about leveraging data science to make a significant impact in the insurance sector, this is the perfect opportunity for you.

Qualifications

• Proven experience in Data Science and Actuarial roles, preferably in a Lloyd's environment.
• Strong programming and statistical skills, with a focus on Python and data analysis.

Responsibilities

• Lead the data science capability to enhance underwriting decision-making.
• Collaborate with teams to define strategic data requirements and deliver analytics solutions.

Skills

Data Science Techniques

Python Programming

Statistical Analysis

Data Manipulation

Stakeholder Management

Team Management

Communication Skills

Education

Strong Academic Background

Tools

Azure Data Technology Stack

SQL

PowerBI

Data Factory

Synapse Analytics

Job description

Time Type:

Full time

Working Pattern:

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 [phone] or email [e-mail]

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