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- Tasks: Join our team to design and deploy AI models that tackle real-world challenges.
- Company: We're a forward-thinking London-based company revolutionising AI and Data Science.
- Benefits: Enjoy competitive salary, early-career perks, and access to AI training and mentorship.
- Why this job: Be part of an innovative culture where creativity and experimentation drive AI advancements.
- Qualifications: Degree in AI, Data Science, or related field; experience with machine learning and Python required.
- Other info: Perfect for recent graduates or those with up to 3 years of experience eager to grow.
The predicted salary is between 28800 - 48000 £ per year.
Are you a curious and driven early-career professional eager to shape the future through Artificial Intelligence and Data Science? We’re looking for a Junior AI & Data Scientist to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one!
In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are changing how we work and live.
Whether you\’re a recent graduate or bringing up to 3 years of experience, this is your opportunity to grow with a team that’s pushing the boundaries of what AI can do.
What’s in it for you?
AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more.
Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers.
Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are at the heart of everything we do.
Tailored Compensation: Competitive salary, early-career benefits, and fast-track development opportunities in the AI space.
What We’re Looking For:
- A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field.
- Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP).
- Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers.
- Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments.
- A passion for AI innovation and a desire to build systems that learn and adapt.
- Strong communication skills to present AI-driven insights to both technical and non-technical audiences.
If you’re ready to kick off your AI career and help shape the next generation of intelligent systems, we’d love to meet you.
Apply now and help us bring artificial intelligence to life!
Data Scientist employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in AI and Data Science. Follow industry leaders on social media, read relevant blogs, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Build a portfolio showcasing your projects related to machine learning and AI. Whether it's a personal project or coursework, having tangible examples of your work can set you apart from other candidates. Make sure to highlight your use of Python and relevant libraries.
✨Tip Number 3
Network with professionals in the AI and Data Science community. Attend meetups, webinars, or conferences to connect with like-minded individuals and potential mentors. These connections can provide valuable insights and may even lead to job referrals.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions. Websites like LeetCode or HackerRank can be great resources. Additionally, be ready to discuss your thought process and problem-solving approach, as communication is key in this role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills related to AI and Data Science. Emphasise any coursework or projects involving machine learning, Python, and the libraries mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your eagerness to contribute to transformative projects. Mention specific AI techniques you are familiar with and how they relate to the role.
Showcase Relevant Projects: If you have worked on any AI-related projects, include them in your application. Describe your role, the technologies used, and the impact of the project. This will demonstrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to AI and Data Science during the interview process. Brush up on key concepts like supervised learning, model evaluation, and data preprocessing to showcase your knowledge.
How to prepare for a job interview at Intellect Group
✨Show Your Passion for AI
Make sure to express your enthusiasm for artificial intelligence and data science during the interview. Share specific projects or coursework that ignited your interest in AI, as this will demonstrate your genuine passion for the field.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with Python and relevant libraries like Scikit-learn, TensorFlow, or PyTorch. You might be asked to solve a coding problem or explain a project where you applied these tools, so brush up on your technical skills beforehand.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice explaining complex AI concepts in simple terms. Think about how you would present your insights to both technical and non-technical audiences, as this will showcase your ability to bridge the gap between different stakeholders.
✨Prepare for Real-World Applications
Familiarise yourself with real-world applications of AI, such as chatbots or recommendation systems. Be ready to discuss how you would approach designing and deploying models to solve specific problems, as this will highlight your practical understanding of the field.
