Data UK Graduate Apprenticeship Programme
BEAZLEY MANAGEMENT LIMITED
Birmingham, B3 2DL
Closes in 10 days (Friday 1 November)
Posted on 30 September 2024
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.
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Training course
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Artificial intelligence (AI) data specialist (level 7)
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Hours
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Monday - Friday 9am to 5pm. Hybrid working available & flexible hours (depending on team accommodation)
35 hours a week
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Possible start date
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Monday 1 September
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
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
Your training plan
This training plan has not been finalised. Check with this employer if you’ll need to travel to a
college or
training
location for this apprenticeship.
Requirements
Essential qualifications
Degree in:
- Any discipline from any university (grade 2:2)
Let the company know about other relevant qualifications and industry experience you have. They can
adjust the apprenticeship to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
Other requirements
Some operational knowledge of a computer programming language such as SQL, Python, R etc would be beneficial.
Also flexible start date 31/03/2025 or 01/09/2025
About this company
Beazley is a specialist insurance company with over 30 years’ experience helping people, communities, and businesses to manage risk all around the world. Our mission is to provide beautifully designed insurance, innovating to give our clients the maximum benefit with minimum hassle. Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions, and contingency, covering risks such as the weather, film production or protection from deadly weapons.
http://www.beazley.com (opens in new tab)
Company benefits
Annual bonus, Reimbursed office travel up to £3250 per year, £100 monthly lifestyle allowance, £550 remote office set up allowance, additional holiday buy scheme, flexible bank holiday policy, private healthcare, generous pension + many more
After this apprenticeship
Once completed the apprenticeship you will roll off into a permanent role in the Data department
Ask a question
The contact for this apprenticeship is:
CAMBRIDGE SPARK LIMITED
The reference code for this apprenticeship is
VAC1000279616.
Apply now
Closes in 10 days (Friday 1 November)
When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can
create one at the same time as applying for this apprenticeship.
After signing in, you’ll apply for this apprenticeship on the company's website.
Company’s application instructions
Our application process is designed with you in mind, we aim to make the process as interactive and as two-way as possible- we want you to get to know us as much as we get to know you!
All stages are designed to assess your future potential – not any experience you may or may not have. Behind the scenes we also undertake adverse impact testing at each stage to ensure that our processes are fair and equitable. If you have any adjustment requests, you can let us know at any time. Best of luck!