Talent & Growth Associate Apprentice (EQ Group)
EQ GROUP LIMITED
Manchester (M4 6LZ)
Closes on Saturday 29 August 2026
Posted on 23 July 2026
Contents
Summary
You'll begin by supporting our UK healthcare recruitment brand, Scale Health, where you'll play a pivotal role in developing Holi, our proprietary intelligence platform.
- Wage
-
Competitive
Competitive wage offered
- Training course
- Data technician (level 3)
- Hours
-
Monday to Friday
9:00am- 5:30pm
(Hybrid)
37 hours 30 minutes a week
- Start date
-
Tuesday 1 September 2026
- Duration
-
1 year 6 months
- Positions available
-
6
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
Through detailed market research and data curation, you'll build and maintain a market-leading intelligence database that underpins our sales, recruitment, and growth strategy. Your work will transform raw market information into actionable insights, enabling our teams to identify opportunities, engage clients more effectively, and make smarter commercial decisions.
What You’ll Be Doing
Market Intelligence & Research
- Mapping healthcare and technology markets
- Researching organisations, talent pools and trends
- Building market reports and intelligence projects
- Supporting strategic growth initiatives
AI & Technology
- Working with our Hey Holi platform
- Using AI tools to improve productivity and outcomes
- Supporting automation projects
- Learning how technology is transforming recruitment
CRM & Operations
- Managing candidate and client data
- Building talent pipelines
- Maintaining CRM systems
- Supporting consultant workflows
Candidate Engagement
- Connecting with professionals through LinkedIn
- Supporting outreach campaigns
- Building relationships with candidates
- Booking introductory conversations
Business Development Support
- Researching prospective clients
- Creating market maps and target lists
- Supporting outreach activity
- Helping consultants generate new opportunities
Personal Brand Development
- Learning modern LinkedIn strategies
- Creating professional content
- Building confidence and communication skills
- Developing commercial awareness
Why EQ Group?
- Work directly with experienced founders and business leaders
- Learn cutting-edge AI and technology tools
- Join a fast-growing business with UK and US operations
- Clear progression pathway
- Ongoing coaching and development
- Modern working environment
- Opportunity to build a genuine career
Where you'll work
1 Silk Street
Manchester
M4 6LZ
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
- Your Career Path
- Months 1-2
- Talent & Growth Associate
- Months 3-4
- Managing projects and outreach independently
- Months 5-6
- Operating with increasing ownership and responsibility
- Month 6+
- Promotion to Recruitment Consultant
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
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Technical skills
- Ambitious and driven
- Naturally curious
- Confident communicating
Other requirements
- Interested in business, technology or healthcare
- Comfortable learning new systems and tools
- Competitive in a healthy way
- Looking for a long-term career rather than just a job
- Attitude and openness to learn and develop
- Someone who gets passionate about their job and holds them self accountable
- Excited to take ownership of their own "desk"
- No recruitment experience required
- No degree required
- Just potential, energy and a willingness to learn
About this employer
Who We Are
EQ Group builds and backs specialist recruitment and talent businesses across modern healthcare, health tech and high-growth sectors.
Founded by entrepreneurs who have built, scaled and exited successful recruitment companies, we’re creating the next generation of recruitment businesses powered by AI, technology and exceptional people.
Our brands operate across the UK and US, supporting some of the fastest-growing healthcare organisations in the world.
Now we’re looking for the next generation of talent to join us.
What Is EQ Academy?
EQ Academy is a six-month accelerated development programme designed for ambitious individuals aged 18-21 who want to build a career in business, sales, recruitment and technology.
This isn’t about making coffee or sitting in training rooms.
From day one you’ll be working on live projects, supporting consultants, engaging with healthcare professionals, using AI tools and learning how modern businesses create opportunities and grow.
By the end of the programme, you’ll have the skills, knowledge and confidence to progress into a Recruitment Consultant position.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
- To progress into a 360 Recruiter
Ask a question
The contact for this apprenticeship is:
BPP PROFESSIONAL EDUCATION LIMITED
The reference code for this apprenticeship is VAC2000044648.
Apply now
Closes on Saturday 29 August 2026
After signing in, you’ll apply for this apprenticeship on the company's website.