At a Glance
- Tasks: Develop machine learning models and collaborate on data-driven projects.
- Company: Fast-growing tech company in London focused on AI and analytics.
- Benefits: Competitive salary, hybrid work model, and professional growth opportunities.
- Why this job: Join a dynamic team and make a real impact with data science.
- Qualifications: Masters or PhD in STEM, proficiency in Python, and strong analytical skills.
- Other info: Work in a collaborative environment with exciting career development.
The predicted salary is between 64000 - 76000 £ per year.
Job Description
London, UK (Hybrid 2 days pw)
Leading Tech Company
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 £80,000 – £90,000 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
Contact Detail:
CV Technical Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at your dream company. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Create a portfolio showcasing your projects and data science skills. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and discussing your past projects. Be ready to explain your thought process and how you tackle problems. Remember, they want to see how you think, not just the final answer!
✨Apply Through Us!
Don't forget to apply through our website! We’re here to help you land that Senior Data Scientist role. Plus, we know the ins and outs of the company and can give you tips to stand out during the application process.
We think you need these skills to ace Senior Data Scientist
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. We want to see how you can bring value to our team!
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 our mission. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on interesting data projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We’re keen to see your hands-on experience and how you tackle real-world challenges with data.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity with us!
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 understanding of the field.
✨Show Off Your Collaboration Skills
Since you'll be working with engineers and product managers, prepare examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex data findings to both technical and non-technical audiences.
✨Stay Current with Trends
Familiarise yourself with the latest developments in AI and data science methodologies. Being able to discuss recent advancements or trends can demonstrate your passion for the field and your commitment to continuous learning.
✨Prepare for Problem-Solving Questions
Expect to tackle some analytical challenges during the interview. Practice explaining your thought process when solving ambiguous problems, as this will showcase your strong analytical and problem-solving abilities.