Senior Data Scientist

Senior Data Scientist

Full-Time 68000 - 102000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop machine learning models and collaborate on data-driven projects.
  • Company: Fast-growing tech company in London focused on innovative data solutions.
  • Benefits: Competitive salary, hybrid work model, and professional growth opportunities.
  • Why this job: Join a dynamic team and make a real impact with cutting-edge data science.
  • Qualifications: Masters or PhD in STEM, proficiency in Python, and strong analytical skills.
  • Other info: Exciting projects and a collaborative environment await you!

The predicted salary is between 68000 - 102000 ÂŁ per year.

London, UK (Hybrid 2 days pw)

About the Company

Our client is a fast‑growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data‑led decision‑making across their industry.

The Opportunity

We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data‑driven products and strategies.

Key Responsibilities

  • Develop and implement machine learning models and algorithms to solve real‑world business challenges.
  • Collaborate with cross‑functional teams to identify opportunities where data science can create value.
  • Conduct statistical analysis and data mining to extract insights from large, diverse datasets.
  • Translate complex data findings into clear and actionable recommendations for both technical and non‑technical audiences.
  • Ensure data quality and integrity while building scalable solutions.
  • Stay current with the latest developments in AI, machine learning, and data science methodologies.

Experienced Needed

  • Masters or PhD in a STEM subject.
  • Proficiency in Python, with experience in libraries such as pandas, scikit‑learn, TensorFlow, or PyTorch.
  • Solid SQL skills and experience working with relational databases.
  • Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous.
  • Strong analytical and problem‑solving abilities, with the ability to work in ambiguous environments.
  • Excellent communication skills to effectively present insights and recommendations.
  • A collaborative mindset, with the ability to work in a dynamic, fast‑paced environment.

What's on Offer

  • Salary ÂŁ80,000 – ÂŁ90,000 DOE.
  • Hybrid working model with an office in central London.
  • Opportunities for professional growth and development.
  • The chance to work on impactful projects within a forward‑thinking tech company.

How to Apply

If you're a Data Scientist looking for your next challenge and want to work with a growing tech company that's making an impact, we'd love to hear from you. Please apply via LinkedIn or reach out directly. Please note, sponsorship is NOT available for this role.

Senior Data Scientist employer: CV Technical Ltd

Our client is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong emphasis on professional growth, employees are encouraged to develop their skills while working on impactful projects that leverage cutting-edge AI and machine learning technologies. The hybrid working model allows for flexibility, making it an attractive opportunity for those seeking a meaningful career in data science.
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Contact Detail:

CV Technical Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning models. This will give you an edge and demonstrate your hands-on experience to potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills and practising common data science interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make a real impact in the tech world.

We think you need these skills to ace Senior Data Scientist

Machine Learning
Statistical Analysis
Data Mining
Python
pandas
scikit-learn
TensorFlow
PyTorch
SQL
Relational Databases
Cloud Platforms (AWS, GCP, Azure)
Analytical Skills
Problem-Solving Skills
Communication Skills
Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning models, Python, and any relevant projects that showcase your skills in data science.

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 your background aligns with the company's mission. Keep it concise but impactful.

Showcase Your Projects: If you've worked on interesting data projects, don’t hesitate to mention them! Include links to your GitHub or any relevant portfolios that demonstrate your expertise in AI and machine learning.

Apply Through Our Website: We encourage you to apply 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 updates!

How to prepare for a job interview at CV Technical Ltd

✨Know Your Data Science Stuff

Make sure you brush up on your machine learning models and algorithms. Be ready to discuss how you've applied them in real-world scenarios, as this will show your practical experience and problem-solving skills.

✨Show Off Your Collaboration Skills

Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with engineers, product managers, or business stakeholders in the past. Highlight your ability to communicate complex data findings clearly.

✨Be Ready for Technical Questions

Expect some technical questions around Python, SQL, and possibly cloud platforms. Practise coding challenges or data analysis problems beforehand to demonstrate your proficiency and confidence during the interview.

✨Stay Current with Trends

Familiarise yourself with the latest developments in AI and data science methodologies. Being able to discuss recent trends or breakthroughs can set you apart and show your passion for the field.

Senior Data Scientist
CV Technical Ltd
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