Data Scientist

Job Title: Data Scientist

Location: Reading

Salary: Competitive + Benefits

Job type: Permanent, Full time

The Company launched with a fully digital, Microsoft Azure cloud-based platform which, unlike those of many insurers, is completely paperless. It does not maintain all its own back office systems but outsources core technology infrastructure to third parties. They launched and experienced rapid growth while some of its technology infrastructure and practices were still nascent. Consequently, there are some aspects of thier systems that are in the process of being upgraded including data management and reporting which currently involves combining complex data sets from disparate data sources

In 2020 they embarked upon a project to build a datastore in Azure to improve overall data management capabilities both now and in the future. This project included a significant exercise to create data ontologies and models and map all of their current data sources.

As well as housing the data, the datastore comprises a mapper and a decision manager tool: a rules engine based on a drag and drop interface that allows them to manage and create rules around the data models. The underlying data models are based on a common ontology that describes the data and their contextual relationships across the business, linking sales, actuarial, underwriting, finance, operations, proposition and regulatory parts of the business.

Data can be output via APIs or via csv into e.g. Power BI for consumption by the broader business.

The Role:

They’re looking for a data scientist who can take their data capabilities to the next level, owning and managing the data models, completing the mapping of the datastore, providing robust and reliable data to end users and helping shape the future data strategy.

Key responsibilities include

• Lead the design and operation of their data management and processes from raw data gathering to visualisation
• Design and execute analyses from understanding business functions through delivery and presentation of results
• Manage core data models developed in collaboration with business stakeholders
• Work with business stakeholders in creating and delivering business analysis reports that drive key business decisions
• Manage data governance in collaboration with the IT team
• Completing the mapping of the entire business dataset in the datastore

Key accountabilities

• Manage the baseline ontology to track current data models in context and update as the business evolves
• Communicate the data ontology structure and updates to business stakeholders as required
• Complete the ontology and mapping for the remaining datasets in the organisation
• Manage the source data sets and containers and configure the mapping and data model management tools
• Ensure source data sets are mapped correctly leveraging the company’s mapping tool
• Oversee the overall transformation and publishing of the data
• Manage the cataloguing and labelling of new datasets and ensure these are mapped and configured correctly through their mapping and data model management tools
• Develop and maintain large complex data sets across the business ensuring one source of the truth so that data terms are consistent across the business
• Test and deploy data models to production in line with Agile techniques
• Demonstrate the value of data and data derived actionable insights to the business
• Meet all legal and regulatory standards and data reporting requirements around GDPR
• Work with business stakeholders to understand key business requirements and help solve through sound business and data analysis
• Create and publish datasets for Microsoft PowerBI and prepare reports and dashboards for consumption by the business
• Create new future business divisional datasets as required ensuring they are consistent with existing data models

The Candidate:

• Degree in Mathematics or Applied Mathematics, Data or Computer Science or Statistics
• Knowledge of data modelling preferably through handling of complex data models and schemas
• Knowledge of XML and XML Schemas
• Knowledge of object-oriented programming languages such as Java or C##
• Knowledge of developing models, reports and dashboards in Microsoft PowerBI
• Knowledge of GitHub for version and access control
• Knowledge of managing tools and components in cloud hosted environments preferably Azure
• Knowledge of SQL server
• Knowledge of machine learning and machine learning techniques an advantage
• Knowledge of Enterprise Architect an advantage

Ideal experience

• Working with and creating data architectures
• Working with business stakeholders
• Financial services and insurance experience
• Experience in handling structured as well as unstructured data

Ideal skillsets

• Ability to conceptualise business problems and solve through data analysis
• Results oriented, self-starter able to work with minimal guidance
• Excellent communication skills with the ability to help solve business problems easily through data models and solutions
• A strong eye for detail

Please click on the APPLY button to send your CV and Cover Letter for this role.

Candidates with the relevant experience or job titles of; Data Scientist, Mathematician, Mathematical Data Analyst, T-SQL, SQL Server, Data Science, SQL Analyst, Python may also be considered for this role.