Location: Mickleover, Derby
Start Date: January 2026
Duration: 250 hours to be completed over 7 weeks
Salary: £12.50 per hour
 
Devtank is a UK-based engineering company specialising in open-source test and measurement solutions. They design and manufacture both standard and custom hardware and software systems that help industries improve quality, efficiency, and automation. Offerings include embedded systems, smart monitoring platforms, and hardware-in-the-loop (HIL) test systems, all built on open-source principles for transparency and adaptability.

They focus on delivering tailored solutions that support innovation and sustainability in engineering and manufacturing and are passionate about driving digital transformation and green technologies.

An internship at Devtank offers hands-on experience with real-world data, cutting-edge technologies, and meaningful projects that impact sustainability and efficiency in global manufacturing. You'll gain practical skills in AI, machine learning, and data science, working on projects that matter.

The Project
Customer feedback shows that the current data dashboard for our OpenSmartMonitor system fall slightly below market expectations. While the hardware outperforms competitors, their dashboards offer superior clarity and depth. The aim is to develop an enhanced data platform that makes Devtank's offering market-leading.

Your mission:

• Understand how they currently collect, display, and use data from OSM sensors.
• Analyse customer feedback and market research to identify gaps and opportunities.
• Investigate best-in-class visualisation tools and AI-driven reporting solutions.
• Build a demo dashboard implementing AI and statistical tools to interpret data effectively.
• Present findings and the prototype to Devtank's senior leadership team.

Day-to-Day Responsibilities

• Review existing data collection and visualisation processes.
• Collaborate with internal teams and customer focus groups.
• Research visualisation tools, statistical methods, and AI technologies.
• Develop and test a prototype dashboard using real-world IoT data.
• Prepare a final report and presentation for senior leadership.

Person Specification
We welcome applications from students and graduates studying: Data Science, Computer Science or Mathematics. We will also consider applicants from other disciplines, particularly those with a strong emphasis on analytical problem-solving, programming, and data-driven technologies.

Skills & Competencies:

• Mathematical modelling and statistical analysis
• Data science and machine learning
• Familiarity with large language models

Preferred Tools & Technologies:

• SQL databases
• APIs
• Grafana dashboards
• Linux
• Programming in C and Python