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 opportunities.
- Other info: Onsite role with excellent career growth and mentoring opportunities.
- Why this job: Make a real difference in data science while developing your skills in a dynamic environment.
- Qualifications: Strong programming skills in Python/Scala and a solid understanding of machine learning.
The predicted salary is between 50000 - 65000 £ 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: This job role can be based in Manchester, Ipswich, Cheltenham. Onsite (Office based 5 days per week). Monday-Friday 37.5 hours per week. You will need to be eligible to obtain DV Security Clearance before starting this role. You will need to have lived in the UK for 10+ years to be eligible.
What you’ll be doing:
- Supports the exploitation of data on critical customer platforms.
- Mentors other Data Science & AI professionals, helping to improve the team’s abilities by acting as a technical resource.
- Coordinates 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.
- Champions, continuously develops and shares with team knowledge 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 and 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 networks 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
- From January 2025, equal family leave: receive 18 weeks at full pay, 8 weeks at half pay and 26 weeks at the statutory rate. It’s for all parents, no matter how your family is made up.
- 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 Salford employer: 慨正橡扯
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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Specialist in Salford
✨Tip Number 1
Network like a pro! Reach out to current employees at BT or in the data science field. Use LinkedIn to connect and ask for informational chats. This can give us insights into the company culture and the role, plus it might just land you a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning and AI. We want to see how you’ve tackled real-world problems, so make sure to highlight your best work.
✨Tip Number 3
Ace the interview! Research common data science interview questions and practice your answers. We recommend using the STAR method (Situation, Task, Action, Result) to structure your responses. This will help you articulate your experience clearly and confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else. Don’t miss out on your chance to join our team!
We think you need these skills to ace Data Science Specialist in Salford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Science Specialist role. Highlight your programming prowess, especially in Python and Scala, and any relevant machine learning projects you've worked on.
Showcase Your Projects:Include specific examples of data models or AI solutions you've developed. We want to see how you've applied your skills in real-world scenarios, so don’t hold back on the details!
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:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at 慨正橡扯
✨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 Security Clearance Process
Since this role requires DV Security Clearance, it’s crucial to familiarise yourself with the vetting process. Be prepared to discuss your background and how you meet the eligibility criteria, especially your residency in the UK for the past 10 years.
✨Showcase Your Leadership Skills
As a Data Science Specialist, you'll be leading a team. Think of examples where you've mentored others or led projects. Highlight your ability to coordinate teams and deliver innovative solutions, as this will demonstrate your strategic thinking and leadership capabilities.
✨Stay Updated on Trends
The field of data science is always evolving, so be ready to talk about emerging trends in AI and machine learning. Mention any recent developments you've been following and how they could impact the role or the company, showing that you're proactive and engaged in your field.
