Number of Applicants
:000+
Time Type:
Full timeWorking Pattern:
HybridLeads the data science projects of the business which will drive:
a) Data cleansing (e.g. matching of premium and claims for delegated business, cause codes).
b) Work alongside actuarial team to perform data mining to produce extra insights to be available to underwriters to improve profitability (e.g. partnering with the underwriters to identify profitable micro-market segments, modelling claims inflation).
c) Using data science/AI techniques to automate manual tasks across the business (e.g. sanctions checks, fraud monitoring).
d) Work with data scientists and actuaries to research, identify, cleanse, analyse, visualise and draw insights from external data sources.
e) Work with the Data Science Manager in supporting the business with proactive analytics and insights.
Work closely with Data Science Manager to ensure upskilling of data scientists/data analysts to learn new and emerging techniques and to create flexibility of resource while still maintaining accountability.
Work with the Data Science Manager to define the strategic data requirements for delivery of data consumption use cases.Particular accountabilities for the Data Science Specialist:
a) Collaborate with technical and non-technical stakeholders to identify, document, analyse, and prioritise data requirements.
b) Facilitate communication and coordination with the IT team and Data Engineering to design effective data solutions that meet business needs.
c) Create high-quality deliverables such as reporting specifications and visualisations.
d) Collaborate with the I.T Team to establish and maintain best practices and operational procedures for effective data management within the organisation.
The successful candidate will have experience in the following areas:
Technical Areas
Programming Proficiency (e.g. Python, PyArrow, PySpark)
Machine Learning Algorithms and Standard Libraries (e.g. Pandas, Numpy, Matplotlib, Statsmodels, Scikit-Learn)
Cloud Computing (e.g. MS Azure Cloud, Azure ML Studio, Azure DevOps)
Database Management and SQL
Data Visualization (e.g. PowerBI Dashboards)
Data Wrangling and Preprocessing
Insurance Industry Experience (an advantage)
Transferable Areas
Problem-Solving and Critical Thinking
Stakeholder Management and Interpersonal Skills
Clear Communication and Storytelling
Time Management and Prioritization
Creativity and Innovation
Teamwork and Collaboration
Ethical Judgement and Data Privacy Awareness
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.
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.
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.
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.
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 [email protected]
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
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