Data Apprenticeship Coach

Apprentify
Bristol
4 days ago
Create job alert

Apprentify was set up to simplify the world of apprenticeships and deliver development programs that improve businesses through enhancing staff. Our business was set up to improve the new age of digital apprenticeships from a fresh angle, cutting away some of the bureaucracy.


About the Role:


We are looking to recruit an experienced and passionate Data Apprenticeship Coach to support and mentor apprentices up to Level 5 throughout their learning journey. The role involves delivering high-quality coaching, assessment, and support to learners, helping them develop the skills, knowledge, and behaviours required for operational management success.


Key Responsibilities:


  • Provide coaching and mentoring to up to Level 5 Data apprentices, ensuring progression and achievement of qualifications.
  • Plan and deliver engaging learning sessions, workshops, and one-to-one coaching tailored to individual learner needs.
  • Assess learners' work against apprenticeship standards, providing constructive feedback to support their development.
  • Guide apprentices in gathering evidence for their portfolio, preparing them for End-Point Assessment (EPA).
  • Monitor apprentice progress through regular reviews, tracking performance against learning goals and targets.
  • Work collaboratively with employers and key stakeholders to ensure a seamless apprenticeship experience.
  • Support apprentices with personal development, leadership skills, and management competencies aligned with industry best practices.
  • Maintain accurate records of learner progress and ensure compliance with quality and regulatory requirements.
  • Stay up to date with apprenticeship standards, funding rules, and sector developments to ensure best practices in delivery.



ESSENTIALS


  • Relevant experience in Data engineering, analytics, or a related technical role
  • Teaching or assessing qualification (e.g., A1 Assessor Award, CAVA, PTLLS, or equivalent).
  • Experience in coaching, mentoring, and assessing management apprentices.
  • Strong knowledge of all Data Apprenticeship Standards.
  • Excellent communication and interpersonal skills with the ability to motivate and inspire learners.
  • Strong organisational and time management skills to manage a caseload of apprentices effectively.
  • Proficiency in using e-portfolio systems and virtual learning platforms.
  • Ability to build strong relationships with learners and employers to ensure positive outcomes.


Benefits & Package:


  • 25 days holiday + Bank Holidays and your birthday off.
  • Pension.
  • Private medical insurance.


SAFEGUARDING STATEMENT


Our organisation,Apprentifyis committed to safeguarding and promoting the welfare of all young people. We believe that apprentices deserve a safe, happy, and healthy life we will endeavor to deliver this.

Apprentify has a full safeguarding policy, which all staff are familiar with and adhere to at every momenT.

Related Jobs

View all jobs

Data Apprenticeship Coach

Senior Manager - Clara Data Analytics

Data Technician Trainer

Innovation Apprenticeship 2025

Assessor / Trainer - Data Technician and Business Analyst

Assessor / Trainer - Data Technician and Business Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.