Senior Data Scientist

Time Type:

Full time

Working Pattern:

Hybrid

Purpose of the Role

Initially the holder will play a critical role in delivering the Data Transformation project focussing on the delivery of use cases to demonstrate value to the business. As the project reaches completion the focus will turn to enhancing the data science capability of the business to help the underwriting teams with insights to improve profitability and aid automation/efficiencies where possible across all departments.

They will work with the Data Science Manager to define the strategic data requirements for delivery of data consumption use cases. The holder of this role will comfortable interacting with all teams within the business to understand, capture, prioritise and document business and technical requirements leading to the deployment of automated, optimised and highly effective analytical solutions. The Senior Data Scientist should be familiar with designing end-to-end machine learning pipelines and deploying these on a cloud environment (eg. Microsoft Azure). Ideally, the candidate will have demonstrable well-developed data science production experience.

The role holder 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 demonstrate strong leadership and coaching skills and will have the opportunity to work with more junior Data Scientists and Data Analysts.

Duties and Accountabilities

• Leads 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.

Skills, Knowledge and Experience

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

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 [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

#J-18808-Ljbffr