L7 AI & Data Specialist Apprentice

Summary

You will play a key role in managing and developing AI-driven automations both internally within the business and externally for new and existing clients. This role involves working on AI and automation projects for SMEs across the United Kingdom, ensuring the successful deployment of AI solutions that improve efficiency and streamline operations.

Wage

£22,000 a year

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Immediate progression opportunities based on performance and motivation. Long-term opportunities to become an AI Conductor/Project Manager. Performance bonus/incentives on top of salary.

Training course

Artificial intelligence (AI) data specialist (level 7)

Hours

Working Hours: Monday–Friday, 9:00am–5:00pm (Hybrid working)

37 hours 30 minutes a week

Start date

Saturday 31 May 2025

Duration

2 years

Positions available

2

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

Assist in building custom AI and automation solutions for SMEs across the UK.
Work with clients to assess their business needs and design tailored AI-driven workflows.
Deploy and integrate AI tools like ChatGPT, Claude, and Botpress to enhance client operations.
Automate business processes using platforms such as Zapier and other workflow automation tools.
Troubleshoot and optimize AI and automation implementations to improve performance.
Oversee and enhance internal AI-driven systems and automations.
Maintain and optimise AI bots that handle customer interactions,
Automate repetitive tasks to improve workflow efficiency across departments.
Participate in AI and automation project planning, ensuring smooth deployment.
Stay updated on the latest AI and automation technologies, integrating new solutions into Envera’s services.
Contribute ideas for enhancing AI solutions and expanding automation offerings for clients.

Where you’ll work

56 Nithsdale Avenue
Market Harborough
LE16 9PE

Training

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

College or training organisation

THE S&A TRANSFORM GROUP 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

Training will take place weekly via day release - all training is carried out remotely.

Requirements

Essential qualifications

Degree in:

Computer Science, Software Engineering, Data/AI (grade 2:1)

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
Number skills
Analytical skills
Logical
Team working
Initiative
Non judgemental
Patience
Motivated
Coding

About this company

Our client are experts in our field and can offer you an honest, easy to understand telecoms service that will provide a clearer understanding of what technologies are available and how they could be used to improve many aspects of your day-to-day business interactions and utilise your businesses phone system to its full potential.

Company benefits

Flexible Working: Office-based and remote work options available. Professional Development: Ongoing training, AI courses, and industry events. Access to Technology Innovation: Opportunities to explore and contribute to broader AI initiatives.

After this apprenticeship

Career Growth: Pathway to becoming an AI Conductor or AI Project Manager.

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