At a Glance
- Tasks: Design and deliver engaging training sessions to build data skills for learners.
- Company: Join althaus, a leader in tech talent development and digital skills training.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with industry partners and contribute to curriculum development.
- Why this job: Make a real impact by mentoring the next generation of data professionals.
- Qualifications: Strong data literacy and experience in training or mentoring required.
The predicted salary is between 30000 - 40000 £ per year.
althaus digital partners with UK employers to address tech talent gaps and keep pace with emerging digital trends through apprenticeships and tailored skills development programs. We focus on eliminating recruitment barriers and supporting sustainable business growth with government-funded training, no hiring fees, and flexible delivery models. Employers benefit from targeted digital skills in data, AI, and IT, delivered through solutions designed around real business needs rather than generic classroom theory. With an expert-led approach that emphasises measurable impact, althaus helps teams innovate, adapt, and drive value in a fast-changing digital economy.
As a Data Trainer / Mentor at althaus, you will design and deliver engaging, practical training sessions and workshops that build data skills for learners and early-career professionals. You will support apprentices in developing core competencies in data analysis, data management, and related digital skills, providing guidance, feedback, and one-to-one mentoring to help them progress. You will contribute to curriculum development and continuous improvement by aligning content with current industry practices and employer needs, ensuring that learning outcomes are measurable and relevant. You will also collaborate with internal teams and employer partners to monitor learner performance, maintain accurate records, and report on progression and attainment. This is a full-time hybrid role, all training is delivered online with occasional travel to Derby.
Qualifications
- Strong data literacy, including experience with data analysis, data visualization, and interpreting data to inform decisions.
- Practical experience with common data tools or platforms (e.g., spreadsheets, BI tools, basic databases, or introductory coding for data) sufficient to train and mentor learners.
- Demonstrated ability to design and deliver training, workshops, or coaching sessions, ideally within digital, data, or technology-focused programs.
- Excellent communication, facilitation, and presentation skills, with the ability to explain complex topics in accessible, learner-friendly language.
- Mentoring or coaching experience, with a supportive approach to guiding diverse learners, building confidence, and encouraging independent problem-solving.
- Strong organisational skills and attention to detail, including the ability to manage learner records, track progress, and meet reporting deadlines.
- Comfort working in a hybrid environment, collaborating both on-site in Derby and remotely with colleagues and learners.
- Beneficial qualifications include a degree or professional certification in data, analytics, or a related digital discipline, and experience in apprenticeships, further education, or vocational training.
Understanding of current trends in cloud, data, AI.
Data Trainer / Mentor in Nottingham employer: althaus
Althaus is an exceptional employer that prioritises the growth and development of its team members through innovative training programmes tailored to meet the evolving needs of the digital economy. With a strong emphasis on collaboration, flexibility, and measurable impact, employees enjoy a supportive work culture that fosters continuous learning and professional advancement. The hybrid working model allows for a balanced approach to work-life integration, making Derby an ideal location for those seeking meaningful and rewarding employment in the tech sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Trainer / Mentor in Nottingham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like althaus!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Trainer / Mentor at althaus.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like althaus.
✨Apply Directly through Our Website
When you find a suitable opening like Data Trainer / Mentor at althaus, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Trainer / Mentor in Nottingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at althaus, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at althaus. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at althaus
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at althaus!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
