At a Glance
- Tasks: Transform complex data into actionable insights that drive real-world decisions.
- Company: Join UKTL, a leader in telecoms innovation and research.
- Benefits: Flexible working options, great work-life balance, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a meaningful impact on the UK's telecoms infrastructure and cybersecurity.
- Qualifications: Experience with large datasets, machine learning, and programming languages like Python or R.
The predicted salary is between 55000 - 65000 £ per year.
At UKTL, you’ll be part of a team strengthening the UK’s telecoms ecosystem through cutting‑edge testing, research, and innovation. As a Senior Data Scientist, you’ll play a key role in supporting and collaborating with our Test and Research teams, turning complex data into meaningful insights that influence real‑world decisions. This is your opportunity to work at the intersection of telecoms, cybersecurity, and national infrastructure, contributing to work that genuinely matters.
Your impact
- Dive into telecoms systems, technologies, and infrastructure, exploring how they operate and where improvements can be made.
- Turn complex datasets into clear, actionable insights that shape research and testing priorities.
- Work closely with test and research teams to solve challenges using data‑driven approaches.
- Create reports, dashboards, and presentations that communicate insights effectively to both technical and non‑technical audiences.
- Contribute to system development, operational improvements, and wider strategic initiatives.
- Stay on top of industry trends, cybersecurity developments, and regulatory changes.
- Build analytical tools and outputs that support investigations and decision‑making.
- Continuously refine data and insights to ensure they remain accurate, relevant, and valuable.
Successful Applicants must be able to commute to the UKTL offices in Solihull, Birmingham at least twice a week. We strive to offer a great work life balance. If you are looking for full time, part time or flexible options, we will try to make this work where possible. This will be dependent on the kind of role you do and part of the business you work in.
About You
What you’ll bring
- Confidence working with large, complex datasets to uncover patterns and insights.
- Understanding of cybersecurity concepts, including threat actors and TTPs.
- Experience in data preparation – collecting, cleaning, and structuring data from multiple sources.
- Knowledge of machine learning and modelling, with the ability to build predictive or automated solutions.
- Strong data exploration skills, with a curiosity for identifying trends, anomalies, and opportunities.
- Ability to translate technical findings into clear, meaningful insights.
- Proficiency in programming languages such as Python, R or Julia.
How you’ll work
- You’re a critical thinker and problem solver who enjoys tackling complex challenges.
- You handle sensitive information with integrity and discretion.
- You take ownership of your work and show initiative.
- You have a strong attention to detail and care about quality.
- You communicate confidently and collaborate well across multidisciplinary teams.
- You’re organised and able to prioritise effectively in a fast‑paced environment.
- You build strong working relationships with a wide range of stakeholders.
Why this role is for you
- You’ll contribute to work that strengthens the UK’s telecoms infrastructure and security.
- You’ll collaborate with experts across testing, research, and cyber resilience.
- You’ll be part of a purpose‑driven organisation making a real impact.
- You’ll work in a collaborative, forward‑thinking environment with opportunities to grow and develop.
To work in this role, you will need to hold a SC clearance with no restrictions. You are welcome to apply without already holding SC clearance; however, you will not be able to start in post until the clearance has been successfully granted.
Senior Data Scientist in Solihull employer: 慨正橡扯
At UKTL, we pride ourselves on being an exceptional employer, offering a collaborative and forward-thinking work culture that empowers our employees to make a real impact in the telecoms sector. With flexible working options and a strong focus on work-life balance, we provide ample opportunities for professional growth and development, ensuring that our team members thrive both personally and professionally. Located in Solihull, Birmingham, our office is at the heart of innovation, allowing you to engage with cutting-edge technologies while contributing to the security and resilience of the UK's national infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Solihull
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We think you need these skills to ace Senior Data Scientist in Solihull
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!
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✨Get Comfortable with Python and R
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✨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.
