At a Glance
- Tasks: Lead innovative data and AI projects, guiding teams to deliver impactful solutions.
- Company: Join a diverse team focused on high-quality technology and meaningful outcomes.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Opportunity to work with cutting-edge technologies and grow your career.
- Why this job: Shape the future of data and AI while mentoring talented engineers.
- Qualifications: Experience in data solutions, cloud platforms, and leading engineering teams.
The predicted salary is between 70000 - 90000 £ per year.
We're looking for an experienced Tech Lead to join our growing Data & AI practice and help deliver innovative technology solutions for enterprise clients. As a Tech Lead, you'll combine hands‑on engineering expertise with technical leadership, guiding teams through complex data and AI challenges from discovery to production. You'll work closely with engineers, product and delivery teams, as well as client stakeholders, to shape scalable solutions that deliver real business value.
What you'll do
- Lead the technical direction of complex data and AI projects
- Design and deliver scalable, secure data platforms and products
- Work with clients to shape solutions and provide technical guidance
- Support and mentor engineers, creating high‑performing teams
- Champion agile, lean engineering practices and continuous improvement
- Translate technical decisions into clear business outcomes
What we're looking for
You'll have strong experience building modern data solutions and leading engineering teams, with expertise across areas such as:
- Cloud platforms (AWS and/or Azure)
- Data engineering, pipelines, ETL, governance and analytics
- Modern data platforms such as Databricks and dbt
- AI‑enabled data solutions and emerging technologies
- Data architecture patterns including Lakehouse, Data Mesh, Data Fabric, and RAG
- Programming languages such as SQL, Python, PySpark, Scala or R
You're a pragmatic, collaborative technology leader who enjoys solving complex problems, working directly with clients and helping others grow.
Why join us
You'll join a diverse team of engineers and consultants who care about building high‑quality technology, learning from each other and delivering meaningful outcomes for clients. If you're passionate about data, AI and leading teams through challenging technical problems, we'd love to hear from you.
Data & AI Tech Lead employer: IO Associates
Join a leading engineering organisation that values innovation and excellence, offering a dynamic work culture where your contributions directly impact high-performance solutions in safety-critical environments. With a strong focus on employee growth, you will have the opportunity to mentor fellow engineers and shape technical direction while working in an Agile/SAFe environment. Located in the UK, this role provides a unique chance to be part of cutting-edge projects in defence, aerospace, and industrial technology, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Tech Lead
✨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 IO Associates!
✨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 & AI Tech Lead at IO Associates.
✨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 IO Associates.
✨Apply Directly through Our Website
When you find a suitable opening like Data & AI Tech Lead at IO Associates, 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 & AI Tech Lead
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 IO Associates, 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 IO Associates. 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 IO Associates
✨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 IO Associates!
✨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.
