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- Tasks: Build and deploy innovative AI and ML solutions for diverse clients.
- Company: Leading data consultancy firm with a focus on transformative technology.
- Benefits: Competitive salary, flexible hybrid work, and professional growth opportunities.
- Why this job: Gain full-stack delivery experience and make a real impact in the tech world.
- Qualifications: Experience in AI and ML, with strong problem-solving skills.
- Other info: Supportive environment with opportunities for significant career advancement.
The predicted salary is between 30000 - 50000 £ per year.
A leading data consultancy firm is seeking a Full-time Data Scientist to build and deploy cutting-edge AI and ML solutions for diverse clients, from Government to Startups. You will gain full-stack delivery experience while working on transformative tools and have opportunities for significant professional growth in a supportive environment.
The role is UK-based and hybrid, allowing for flexibility while requiring occasional on-site work in London. Competitive salary and benefits included.
Data Scientist: End-to-End AI & ML Delivery (Hybrid UK) in London employer: Coefficient Systems Ltd
Contact Detail:
Coefficient Systems Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: End-to-End AI & ML Delivery (Hybrid UK) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 AI and ML projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data science interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Scientist: End-to-End AI & ML Delivery (Hybrid UK) in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with AI and ML. We want to see how you've tackled real-world problems and the impact of your work. Don't hold back – this is your chance to shine!
Tailor Your Application: Take a moment to customise your application for the Data Scientist role. Mention specific projects or tools that align with what we do at StudySmarter. This shows us you’re genuinely interested and have done your homework!
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensures you don’t miss out on any important updates from us.
How to prepare for a job interview at Coefficient Systems Ltd
✨Know Your AI & ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss specific projects you've worked on, the tools you used, and the impact your work had. This shows you're not just knowledgeable but also passionate about the field.
✨Showcase Your Full-Stack Skills
Since the role involves end-to-end delivery, be prepared to talk about your experience with the entire data science pipeline. From data collection and cleaning to model deployment, highlight your versatility and how you can contribute at every stage of a project.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach real-world problems. Think about challenges you've faced in previous roles and how you overcame them. This will demonstrate your problem-solving skills and ability to think critically under pressure.
✨Emphasise Team Collaboration
This role is in a supportive environment, so be ready to discuss how you work within a team. Share examples of successful collaborations and how you’ve communicated complex ideas to non-technical stakeholders. This shows you’re not just a tech whiz but also a great team player.
