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- Tasks: Design and deliver impactful data science solutions in a collaborative environment.
- Company: Leading cyber security recruitment agency with a focus on innovation.
- Benefits: Competitive salary, professional development, and a dynamic work culture.
- Why this job: Make a real business impact using your data science expertise.
- Qualifications: 5+ years of experience in data science, programming, statistics, and SQL.
- Other info: Onsite role in Central London with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading cyber security recruitment agency is seeking an experienced Data Scientist to design and deliver scalable data science solutions with a focus on real business impact. This role involves collaborating with data engineers and stakeholders, applying machine learning techniques, and ensuring data products are reliable and well-documented.
Candidates should have over 5 years of experience in data science and strong skills in programming, statistics, and SQL.
GenAI & ML Data Scientist — Onsite in Central London employer: LT Harper - Cyber Security Recruitment
Contact Detail:
LT Harper - Cyber Security Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI & ML Data Scientist — Onsite in Central London
✨Tip Number 1
Network like a pro! Reach out to professionals in the cyber security and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning techniques and be ready to discuss how you've applied them in real-world scenarios. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your best work in data science, especially any projects related to scalable solutions or business impact. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you a better chance of getting noticed by recruiters.
We think you need these skills to ace GenAI & ML Data Scientist — Onsite in Central London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially your programming and SQL skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can make a real business impact. We love seeing candidates who can connect their skills to our mission.
Showcase Your Collaboration Skills: Since this role involves working closely with data engineers and stakeholders, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you can contribute to our dynamic environment.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at LT Harper - Cyber Security Recruitment
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially around machine learning techniques and statistics. Be ready to discuss how you've applied these in real-world scenarios, as this will show your practical experience and understanding.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data engineers and stakeholders, prepare examples of past collaborations. Highlight how you communicated complex data insights to non-technical team members, demonstrating your ability to bridge the gap between technical and business needs.
✨Prepare for Technical Questions
Expect to face technical questions related to programming and SQL. Practice coding challenges and be ready to explain your thought process. This will not only showcase your skills but also your problem-solving approach, which is crucial for this role.
✨Emphasise Documentation and Reliability
Discuss your experience with ensuring data products are reliable and well-documented. Bring examples of how you've maintained documentation in previous projects, as this reflects your attention to detail and commitment to quality, which are key for a data scientist.
