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For Companies At a Glance
- 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.
Job Title: Data Scientist
Location: London (Hybrid)
Salary: £40,000–£60,000
Hiring: Multiple Position Available
Are you analytical, curious, and excited by the idea of turning complex data into real business impact?
We\’re hiring multiple Data Scientists to join a fast-growing organisation working across product, commercial, and operational teams. This is a fantastic opportunity for someone early in their career who wants ownership, learning, and the chance to make a difference.
About the Role
As a Data Scientist, you\’ll work end-to-end across data pipelines, modelling, and insights — helping the business make smarter decisions every day.
You\’ll collaborate with product, engineering and senior stakeholders, with full support from an established data team. If you love solving problems, asking questions, and building useful things with data, this role is for you.
Key Responsibilities
Build predictive and statistical models using Python
Develop end-to-end data pipelines and automated workflows
Analyse behavioural, financial or operational datasets
Create dashboards and visualisations for key stakeholders
Run experiments, evaluate models, and optimise performance
Translate complex findings into simple, actionable insights
What We\’re Looking For
1–3 years\’ experience in data science or analytics
Strong Python skills (pandas, numpy, scikit-learn)
Solid SQL for data extraction and manipulation
Experience with Tableau or Power BI is a bonus
Strong problem-solving and analytical thinking
Clear communication – able to explain insights simply
STEM degree (Data Science, Maths, Engineering, Physics, etc.)
Why Join Us?
Hybrid working in London
Fast progression, mentorship & career development
High-impact work across multiple teams
Collaborative, supportive data culture
Modern tech stack with room to innovate
A place where junior talent grows quickly
Perks & Benefits
Competitive salary (£40,000–£55,000)
Paid training & development opportunities
Flexible hybrid schedule
Generous annual leave
Health & wellbeing initiatives
This is an incredible opportunity to accelerate your career in data science – ideal for someone ambitious, curious and eager to learn.
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.
