Data Science Specialist in Cheltenham

Data Science Specialist in Cheltenham

Cheltenham Full-Time 50000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead a team of data scientists to innovate and exploit data for impactful solutions.
  • Company: Join BT's Security Division, a leader in data science and technology.
  • Benefits: Competitive salary, generous leave, flexible benefits, and world-class training.
  • Other info: Onsite role with excellent career growth and development opportunities.
  • Why this job: Make a real difference by leveraging data science in a strategic role.
  • Qualifications: Strong programming skills in Python/Scala and experience in machine learning.

The predicted salary is between 50000 - 60000 £ per year.

Due to the sensitive nature of this role, you will be required to undergo DV (Developed Vetting) level Security Clearance. An allowance of £5k per annum may be payable monthly while you hold this DV and continue to work in a role that requires that level of security clearance. The terms of this allowance will be made available if you are successful in being recruited into this role.

This role sits within BT’s Security Division and is responsible for maturing the data science capability, acting as a leader for how we exploit the value in our data. The successful candidate will play a key part in building internal expertise and delivering innovative solutions to meet both internal and customer requirements. The role holder will lead and develop an agile team of data scientists across multiple projects. In addition to technical delivery, the role has a strategic dimension—identifying high-impact opportunities and engaging across the wider organisation.

Location: Manchester, Ipswich, Cheltenham. Onsite (Office based 5 days per week). Monday-Friday 37.5 hours per week. Eligible to obtain DV Security Clearance and must have lived in the UK for 10+ years.

What you’ll be doing:

  • Support the exploitation of data on critical customer platforms.
  • Mentor other Data Science & AI professionals, helping to improve the team’s abilities by acting as a technical resource.
  • Coordinate the development and implementation of custom data models, intelligent algorithms, and AI solutions to apply to data sets.
  • Pursue new opportunities to utilise data science/machine learning for improved outcomes.
  • Champion, continuously develop, and share knowledge with the team on emerging trends and changes in machine learning and artificial intelligence.

Essential Skills:

  • Data Analysis
  • Programming
  • Scripting
  • Artificial Intelligence / Machine Learning
  • Statistical Analysis

What we'd like to see on your CV:

  • Programming/Scripting: Strong skills with compiled and interpreted languages such as Python and Scala.
  • Data Analysis: Understanding of graphs, networks, time-series modelling, numerical algorithms and geospatial analytics.
  • Machine Learning: Understanding of machine learning techniques and frameworks such as scikit-learn, TensorFlow, PyTorch, etc.
  • DevOps: Basic DevOps and system-level Linux skills – confident with SSH, shell scripting, cron, package management. Familiar with version control and a mix of development environments.
  • Software Development: Highly experienced with compiled and interpreted languages such as Python and Scala/Java, confident with common libraries like Pandas, NumPy.
  • Cyber Analytics: Understanding and detecting threats in network data.

Benefits:

  • Competitive salary
  • 10% on target bonus (Depending on country based)
  • BT Pension scheme, minimum 5% employee contribution, BT contribution 10%
  • On-call allowance (Depending on the requirements of the role)
  • 25 days annual leave (not including bank holidays), increasing with service
  • Huge range of flexible benefits including cycle to work, healthcare, season ticket loan
  • World-class training and development opportunities
  • Equal family leave from January 2025: 18 weeks at full pay, 8 weeks at half pay, and 26 weeks at the statutory rate. For all parents.
  • Enhanced women’s health support: including help with menopause symptoms, cancer screenings, period care and more.
  • 24/7 private virtual GP appointments for UK colleagues
  • 2 weeks paid carer’s leave
  • Option to join BT Shares Saving schemes.
  • Discounted broadband, mobile and TV packages
  • Access to hundreds of retail discounts including the BT shop

Data Science Specialist in Cheltenham employer: BT Business

BT is an exceptional employer, offering a dynamic work environment in Manchester, Ipswich, or Cheltenham where innovation thrives. With a strong focus on employee development, competitive benefits including a generous pension scheme and flexible working options, BT fosters a culture of collaboration and growth, making it an ideal place for Data Science Specialists to advance their careers while contributing to critical security initiatives.

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Contact Details:

BT Business Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Specialist in Cheltenham

Tip Number 1

Network like a pro! Reach out to current employees at BT or in the data science field. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Prepare for the interview by brushing up on your technical skills. We should be ready to discuss our experience with Python, machine learning frameworks, and how we’ve tackled data challenges in the past.

Tip Number 3

Showcase our passion for data science! During interviews, let’s share examples of projects we've worked on and how we’ve stayed updated with the latest trends in AI and machine learning.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed and shows we’re serious about joining the team at BT.

We think you need these skills to ace Data Science Specialist in Cheltenham

Data Analysis
Programming
Scripting
Artificial Intelligence
Machine Learning
Statistical Analysis
Python

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your programming skills in Python and Scala, and any relevant data analysis or machine learning projects you've worked on.

Showcase Your Projects:Include specific examples of projects where you've applied data science techniques. Whether it's custom data models or AI solutions, we want to see how you've exploited data to drive results.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point.

Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.

How to prepare for a job interview at BT Business

Know Your Data Science Stuff

Make sure you brush up on your data analysis, machine learning techniques, and programming skills in Python and Scala. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience and understanding of the role.

Understand the Company’s Needs

Research BT’s Security Division and understand how they exploit data for customer platforms. Think about how your skills can help them mature their data science capability and be prepared to share ideas on potential high-impact opportunities during the interview.

Show Off Your Mentoring Skills

Since the role involves mentoring other data scientists, come prepared with examples of how you've helped others grow in their careers. Highlight any leadership experiences or times when you've coordinated team efforts on projects to demonstrate your ability to lead an agile team.

Stay Current with Trends

Be ready to discuss emerging trends in machine learning and AI. This shows that you're not just technically skilled but also passionate about continuous learning and development, which is crucial for a role that champions knowledge sharing within the team.