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- Tasks: Join a talented team to tackle real-world problems using machine learning and AI.
- Company: A fast-growing, research-driven company revolutionising its industry with innovative technology.
- Benefits: Enjoy free meals, regular team events, generous leave, and a stunning office view.
- Why this job: Be part of a dynamic culture that embraces cutting-edge tech and fosters rapid learning.
- Qualifications: 2+ years in Data Science, solid Python skills, and some Java experience required.
- Other info: Hybrid work model: 3 days in the office (Mon, Wed, Fri).
The predicted salary is between 46200 - 66000 £ per year.
You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Data Scientist will join a very bright, talented team of engineers with the guidance of technologists who have helped build some of the best-known technology companies today. You will work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast. The role will be very interesting and diverse and will involve keeping ahead of the latest technologies.
Core skills for the Data Scientist:
- 2yrs+ in a commercial Data Science / Machine Learning role
- Solid experience of Python and some Java (Could be from University projects)
- A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
- Familiarity with cloud platforms (AWS) and Kubernetes for deploying
- A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering.
Salary for the Data Scientist / Machine Learning Engineer will depend on experience, but expect between £55,000 and £80,000 + Pension + benefits.
Other benefits include:
- Free breakfast/Lunch and coffee, drinks and snacks all day/every day.
- Regular team events (dinner, bowling, karting, poker nights, board-games etc.)
- The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Applicants must have the right to work in the UK, no sponsorship is offered for this role.
Data Scientist employer: Bentley Whitaker Search and Selection
Contact Detail:
Bentley Whitaker Search and Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest machine learning frameworks like TensorFlow and PyTorch. Being able to discuss recent advancements or projects you've worked on using these tools can really impress during interviews.
✨Tip Number 2
Network with professionals in the data science field, especially those who work with AI and machine learning. Attend meetups or webinars to connect with potential colleagues and learn about their experiences at companies similar to ours.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of real-world problems you've tackled using machine learning techniques. Be ready to discuss your thought process and the impact of your solutions.
✨Tip Number 4
Stay updated on industry trends and emerging technologies in AI and machine learning. This knowledge will not only help you in interviews but also demonstrate your passion for the field and commitment to continuous learning.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and Java, as well as your familiarity with machine learning frameworks like scikit-learn, TensorFlow, and PyTorch. Use specific examples from your previous roles or projects to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for artificial intelligence and machine learning. Mention how your background aligns with the company's mission of revolutionising their industry and include any relevant projects that showcase your problem-solving abilities.
Showcase Relevant Projects: If you have worked on any significant projects related to data science or machine learning, be sure to include them in your application. Describe your role, the technologies used, and the impact of the project to give the hiring team insight into your capabilities.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to data science or machine learning. This shows your commitment to staying updated with the latest technologies and trends in the field.
How to prepare for a job interview at Bentley Whitaker Search and Selection
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and Java in detail. Bring examples of projects you've worked on, especially those involving machine learning frameworks like scikit-learn, TensorFlow, or PyTorch. This will demonstrate your hands-on experience and understanding of the core algorithms.
✨Understand the Company’s Vision
Research the company’s mission and recent projects. Understanding how they are revolutionising their industry with AI will help you align your answers with their goals and show your genuine interest in being part of their innovative team.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning concepts and algorithms. Brush up on your knowledge of core ML principles and be ready to solve problems on the spot, as this reflects your ability to apply theory to real-world scenarios.
✨Demonstrate Team Collaboration
Since the role involves working closely with senior engineers and data scientists, be ready to discuss your experiences in team settings. Highlight any collaborative projects and how you contributed to achieving common goals, showcasing your ability to work well within a talented team.
