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- Tasks: Lead data science projects using statistics and machine learning to solve real-world problems.
- Company: High-growth organisation focused on data-driven business decisions.
- Benefits: Competitive salary up to £80,000 and hybrid working model.
- Why this job: Make a substantial impact across product, marketing, risk, and operations.
- Qualifications: Experience in data science and strong analytical skills.
- Other info: Ideal for those eager to influence analytical standards.
The predicted salary is between 48000 - 64000 £ per year.
A high-growth organisation is seeking a Senior Data Scientist to enhance how data drives various business decisions. In this role, you will lead comprehensive data science projects, applying statistics and machine learning to real-world problems.
The position offers a competitive salary of up to £80,000 with a hybrid working model of three days per week in London. This role is ideal for someone eager to influence analytical standards and make a substantial impact across product, marketing, risk, and operations.
Senior Data Scientist — ML & AI for Growth (London Hybrid) employer: New Street Consulting Group (NSCG)
Contact Detail:
New Street Consulting Group (NSCG) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — ML & AI for Growth (London Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the culture and maybe even a referral!
✨Tip Number 2
Showcase your skills in action! Prepare a portfolio of projects that highlight your experience with machine learning and statistics. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. We need to be ready to discuss our past projects and how they relate to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips on what the hiring team is looking for.
We think you need these skills to ace Senior Data Scientist — ML & AI for Growth (London Hybrid)
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science shine through! We want to see how your love for statistics and machine learning can drive real-world solutions. Share specific examples of projects you've worked on that demonstrate your skills and passion.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with data-driven decision-making and any relevant projects that align with our goals at StudySmarter. This shows us you’re not just sending a generic application but are genuinely interested in joining our team.
Be Clear and Concise: We appreciate clarity! When detailing your experience and skills, be straightforward and avoid jargon. Use bullet points where possible to make it easy for us to read through your application quickly. Remember, we want to understand your impact without wading through fluff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you’re at it!
How to prepare for a job interview at New Street Consulting Group (NSCG)
✨Know Your Data Science Fundamentals
Brush up on your statistics and machine learning concepts. Be ready to discuss how you've applied these in past projects, especially in real-world scenarios. This will show that you can translate theory into practice, which is crucial for the role.
✨Showcase Your Project Experience
Prepare to talk about specific data science projects you've led. Highlight your role, the challenges faced, and the impact of your work on business decisions. Use metrics to quantify your success, as this will resonate well with the interviewers.
✨Understand the Business Context
Research the company and its industry. Understand how data influences their product, marketing, risk, and operations. This knowledge will help you tailor your answers and demonstrate your eagerness to make a substantial impact.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals. Plus, it opens up a dialogue that can make you more memorable.
