Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead client projects and provide technical leadership in data science and cybersecurity.
- Company: Top consultancy in Data and Cyber Security with a focus on innovation.
- Benefits: Competitive salary of £85,000 plus a 15% bonus and SC clearance eligibility.
- Why this job: Make a real impact by solving complex business problems with data-driven solutions.
- Qualifications: Strong Python skills, client-facing experience, and knowledge of machine learning and cloud platforms.
- Other info: Join a dynamic team and advance your career in a critical field.
The predicted salary is between 51000 - 85000 £ per year.
A leading consultancy in Data and Cyber Security is seeking a Senior Data Scientist to lead client projects and provide technical leadership. The role requires excellent Python skills, client-facing experience, and an understanding of machine learning and cloud platforms. This position is critical for translating complex business problems into actionable analytics solutions, making it ideal for someone with a passion for data-driven decision making.
Competitive package includes a base salary of £85,000 plus a 15% bonus and requires SC clearance eligibility.
Lead Data Scientist - Cybersecurity ML & Cloud (SC Clearable) in England employer: Paradigm Tech
Contact Detail:
Paradigm Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Cybersecurity ML & Cloud (SC Clearable) in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and cybersecurity fields. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, machine learning models, and any cloud solutions you've worked on. This is your chance to demonstrate your technical prowess and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science and cybersecurity questions. Practice explaining complex concepts in simple terms, as client-facing roles require clear communication. We want you to shine when it comes to translating technical jargon into actionable insights!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Tailor your application to highlight your experience in leading projects and your passion for data-driven decision making. Let’s get you that dream job!
We think you need these skills to ace Lead Data Scientist - Cybersecurity ML & Cloud (SC Clearable) in England
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in relation to machine learning and cloud platforms.
Client-Facing Experience is Key: Don’t forget to mention any client-facing roles you've had. We value strong communication skills, so share examples of how you've successfully interacted with clients and translated their needs into data solutions.
Translate Complex Problems: We’re looking for someone who can break down complex business problems. In your application, give us a taste of how you’ve tackled similar challenges and turned them into actionable analytics solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at Paradigm Tech
✨Master Your Python Skills
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific projects where you've used Python for data analysis or machine learning. Practising coding challenges can also help you demonstrate your technical prowess.
✨Showcase Your Client-Facing Experience
Prepare examples of how you've successfully interacted with clients in previous roles. Highlight your ability to translate complex technical concepts into understandable terms for non-technical stakeholders. This will show that you can bridge the gap between data science and business needs.
✨Understand Machine Learning and Cloud Platforms
Familiarise yourself with the latest trends in machine learning and cloud technologies. Be prepared to discuss how you've applied these in past projects, and think about how they can be leveraged to solve client problems. This will demonstrate your expertise and forward-thinking approach.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about how you would approach translating a complex business problem into an actionable analytics solution. Practising these scenarios can help you articulate your thought process clearly during the interview.
