Data UK Graduate Apprenticeship Programme

Summary

Join Lloyd’s largest syndicate and be part of a global operations team, supporting our Underwriting and Claims team. Underwriting and Claims Operations teams provides bespoke support to Underwriters and Claims Managers worldwide Great benefits including paid travel to work, paid lunch, £100 lifestyle allowance, pension contribution.

Annual wage: £33,000 a year
Minimum wage rates (opens in new tab)
Training course: Artificial intelligence (AI) data specialist (level 7)
Hours: Monday - Friday 9am to 5pm. Hybrid working available & flexible hours (depending on team accommodation)
35 hours a week
Possible start date: Monday 1 September
Duration: 2 Years
Positions available: 2

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

Would you like to join a market leading specialty insurer and be part of an exciting journey as we modernise to build a class leading Data Office?

We're looking for curious and collaborative graduates and apprentices to help us further shape our data-driven culture. Have you ever streamed a TV service or watched a major sporting event and thought – what happens if something goes wrong, who covers that risk? Well the chances are that it's Beazley. A small part of our role in Data is to help to support decision making around the complexity of those varied scenarios.

What will I get? During 24-month programme, you'll been given a structured development program to explore and learn many aspects of Data including - governance, analysis, engineering, data science, product management.

We'll provide opportunities to partner with and learn from top professionals who'll offer hands on experience across the wider insurance world, such as: Finance, Underwriting Operations, Cyber and Actuarial.

Where you’ll work

Cornerblock

2 Cornwall Street

Birmingham

B3 2DL

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

CAMBRIDGE SPARK LIMITED

Your training course

Artificial intelligence (AI) data specialist (level 7)

Equal to master’s degree

Course contents

Use applied research and data modelling to design and refine the database & storage architectures to deliver secure, stable and scalable data products to the business

Independently analyse test data, interpret results and evaluate the suitability of proposed solutions, considering current and future business requirements

Critically evaluate arguments, assumptions, abstract concepts and data (that may be incomplete), to make recommendations and to enable a business solution or range of solutions to be achieved

Communicate concepts and present in a manner appropriate to diverse audiences, adapting communication techniques accordingly

Manage expectations and present user research insight, proposed solutions and/or test findings to clients and stakeholders.

Provide direction and technical guidance for the business with regard to AI and data science opportunities

Work autonomously and interact effectively within wide, multidisciplinary teams

Coordinate, negotiate with and manage expectations of diverse stakeholders suppliers with conflicting priorities, interests and timescales

Manipulate, analyse and visualise complex datasets

Select datasets and methodologies most appropriate to the business problem

Apply aspects of advanced maths and statistics relevant to AI and data science that deliver business outcomes

Consider the associated regulatory, legal, ethical and governance issues when evaluating choices at each stage of the data process

Identify appropriate resources and architectures for solving a computational problem within the workplace

Work collaboratively with software engineers to ensure suitable testing and documentation processes are implemented.

Develop, build and maintain the services and platforms that deliver AI and data science

Define requirements for, and supervise implementation of, and use data management infrastructure, including enterprise, private and public cloud resources and services

Consistently implement data curation and data quality controls

Develop tools that visualise data systems and structures for monitoring and performance

Use scalable infrastructures, high performance networks, infrastructure and services management and operation to generate effective business solutions.

Design efficient algorithms for accessing and analysing large amounts of data, including Application Programming Interfaces (API) to different databases and data sets

Identify and quantify different kinds of uncertainty in the outputs of data collection, experiments and analyses

Apply scientific methods in a systematic process through experimental design, exploratory data analysis and hypothesis testing to facilitate business decision making

Disseminate AI and data science practices across departments and in industry, promoting professional development and use of best practice

Apply research methodology and project management techniques appropriate to the organisation and products

Select and use programming languages and tools, and follow appropriate software development practices

Select and apply the most effective/appropriate AI and data science techniques to solve complex business problems

Analyse information, frame questions and conduct discussions with subject matter experts and assess existing data to scope new AI and data science requirements

Undertakes independent, impartial decision-making respecting the opinions and views of others in complex, unpredictable and changing circumstances