Underwriting Data Technician Apprentice (Generali)

ASSICURAZIONI GENERALI SPA

City of London (EC3R 7NE)

Closes in 27 days (Friday 12 December 2025)

Posted on 14 November 2025


Summary

The Underwriting Data Technician Apprentice will support the Technical Excellence Underwriting team with tasks such as: Reporting Data analysis Data Cleansing Cat Analysis.

Training course
Data technician (level 3)
Hours
Monday to Friday. Shifts to be confirmed.

35 hours a week

Start date

Monday 5 January 2026

Duration

1 year 6 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

Principal Accountabilities

  • Produce regular and ad-hoc underwriting reporting including assisting with production of regular reporting for underwriters and the underwriting function including the portfolio management process reporting
  • Help increase the business insight that can be extracted from the portfolio, using existing reporting and infrastructure capabilities, and enabling a more structured, disciplined use of data in the organisation
  • Continuous monitoring of selected key performance indicators via Power BI dashboards
  • Help increase data quality within the business
  • Co-ordination and gathering of data for reporting purposes from across the team
  • Provide assistance, where required, in project work focusing in process improvement and working with IT in order to enhance the current set up of underwriting claims
  • Assist Cat Modelling team in providing support for non-complex risk analysis
  • Assist Head of Technical Excellence in providing support to the underwriting function

Technical Skills

Demonstrates essential technical skills and knowledge. Willing and able to train or coach others

Problem Solving

Describe a time you solved a complex problem. What steps did you take and what was the outcome?

Innovation

Embraces diversity and creativity to drive innovation and build a better future

Compliance

Stays updated on procedures, laws, and regulations. Builds stakeholder relationships and protects organizational interests

Relationship Building / Networking

Builds rapport across organizational levels. Adjusts communication style to meet individual and client needs. Acts as a trusted ally

Flexibility

Adapts quickly to change. Views change as an opportunity to learn. Maintains productivity and relationships during transitions

Employee Statement of Understanding

This document summarizes your main accountabilities and may evolve with business needs. It forms part of the Assessment Review process and should be updated as needed. Assicurazioni Generali S.p.A. – UK Branch is an Equal Opportunity Employer committed to diversity and inclusion

Where you'll work

55 Mark Lane
City of London
EC3R 7NE

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

BPP PROFESSIONAL EDUCATION LIMITED

Training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Select and migrate data from already identified sources.
  • Format and save datasets.
  • Summarise, analyse and explain gathered data.
  • Combine data sets from multiple sources and present in format appropriate to the task.
  • Use tools and/or apply basic statistical methods to identify trends and patterns in data.
  • Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
  • Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
  • Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
  • Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
  • Parse data against standard formats, and test and assess confidence in the data and its integrity.
  • Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
  • Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
  • Follows equity, diversity and inclusion policies in the organisation for a common goal.
  • Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
  • Select and migrate data from already identified sources.
  • Format and save datasets.
  • Summarise, analyse and explain gathered data.
  • Combine data sets from multiple sources and present in format appropriate to the task.
  • Use tools and/or apply basic statistical methods to identify trends and patterns in data.
  • Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
  • Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
  • Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
  • Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
  • Parse data against standard formats, and test and assess confidence in the data and its integrity.
  • Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
  • Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
  • Follows equity, diversity and inclusion policies in the organisation for a common goal.
  • Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.

Training schedule

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

More training information

BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.

Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.

Requirements

Essential qualifications

GCSE in:

  • English (grade (9-4 or equivalent))
  • Maths (grade B or above)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • Organisation skills
  • Problem solving skills
  • Number skills
  • Team working
  • Enthusiastic
  • Diligent
  • Willingness to learn
  • Confident with MS Office
  • Microsoft Excel skills
  • Adaptable to change
  • Able to meet tight deadlines
  • Critical analysis skills
  • Able to work independently
  • Eager to develop
  • Flexible and proactive
  • Time management skills

Other requirements

Lifetime Partner Behaviours Human Touch Partners with others, showing empathy and team spirit. Builds trust, dialogue, and mutual respect. Ownership Acts proactively with passion for performance. Takes responsibility and drives individual and group growth. Simplification Makes things simple, adapts quickly, and takes smart decisions to find flexible solutions.

About this employer

Generali in the UK provides a full range of corporate insurance solutions and services for multinational employers. Providing customers with flexible, innovative and technically effective insurance solutions lies at the very heart of our business for over 180 years. Our long history is founded on building trusted partnerships with the Corporate and Commercial business community worldwide, through our continuous development, long-term customer engagement and delivering excellence in an ever-changing marketplace.

After this apprenticeship

  • The opportunity may offer a permanent role upon completion of the apprenticeship

Ask a question

The contact for this apprenticeship is:

BPP PROFESSIONAL EDUCATION LIMITED

The reference code for this apprenticeship is VAC2000000652.

Apply now

Closes in 27 days (Friday 12 December 2025)

Sign in with your GOV.UK One Login to apply.

After signing in, you’ll apply for this apprenticeship on the company's website.