Senior Data Scientist — ML & AI for Growth (London Hybrid)
Senior Data Scientist — ML & AI for Growth (London Hybrid)

Senior Data Scientist — ML & AI for Growth (London Hybrid)

Full-Time 48000 - 64000 £ / year (est.) No home office possible
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At a Glance

  • 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: Opportunity to influence analytical standards in a dynamic environment.

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)

Join a high-growth organisation that values innovation and collaboration, offering a dynamic work culture where your contributions as a Senior Data Scientist will directly influence key business decisions. With a competitive salary of up to £80,000 and a hybrid working model, you will enjoy the flexibility of working three days a week in London while having ample opportunities for professional growth and development in the rapidly evolving fields of machine learning and artificial intelligence.
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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 or in similar roles on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral!

Tip Number 2

Showcase your projects! Prepare a portfolio of your data science projects that highlight your skills in machine learning and statistics. This will help us demonstrate our hands-on experience during interviews.

Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and algorithms. We can use platforms like LeetCode or HackerRank to simulate real interview scenarios.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.

We think you need these skills to ace Senior Data Scientist — ML & AI for Growth (London Hybrid)

Data Science
Machine Learning
Statistics
Analytical Skills
Project Leadership
Business Decision-Making
Impact Analysis
Cross-Functional Collaboration

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with statistics and machine learning in your application. We want to see how you've tackled real-world problems and the impact your work has had on previous projects.

Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates customise their applications to reflect how their skills align with our needs. Mention specific projects or experiences that relate to enhancing data-driven decisions.

Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications and how you can contribute to our growth.

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’re considered for the role. Plus, it shows you’re keen on joining our team!

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 prepared to discuss how you've applied these in past projects, as the interviewers will want to see your practical understanding of data-driven decision-making.

Showcase Real-World Applications

Prepare examples of how you've used data science to solve real-world problems. Highlight specific projects where your insights led to significant business outcomes, especially in areas like product, marketing, or operations.

Understand the Company’s Goals

Research the organisation's mission and recent initiatives. Tailor your responses to show how your skills can help them achieve their objectives, particularly in enhancing analytical standards and driving growth.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, current projects, and future challenges. This not only shows your interest but also helps you gauge if the company culture aligns with your values and work style.

Senior Data Scientist — ML & AI for Growth (London Hybrid)
New Street Consulting Group (NSCG)
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