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- Tasks: Assist in analysing datasets and building predictive models in AI.
- Company: Dynamic AI company in London offering full training.
- Benefits: Starting salary of £42,000, flexible work options, and career growth.
- Other info: Collaborative environment with real-world AI applications and ongoing support.
- Why this job: Kickstart your career in AI with hands-on projects and mentorship.
- Qualifications: Degree in relevant field or equivalent experience; basic data skills required.
Training: Full in-house training provided by the hiring company, no experience required.
About the Role: Our client, a growing company working in the AI and data space, is hiring Graduate AI Data Scientists to join their team in London. This is an entry-level opportunity suitable for recent graduates or early-career candidates looking to start a career in AI and data science, with full training provided. As a Graduate AI Data Scientist, you will work closely with cross-functional teams to support the analysis of datasets, assist in building predictive models, and contribute to delivering insights that support business decisions and AI product development.
Key Responsibilities:
- Assist in collecting, processing, and analyzing datasets from various sources
- Support the development, training, and validation of machine learning models
- Perform exploratory data analysis to identify trends, patterns, and insights
- Collaborate with data engineers, machine learning engineers, and product teams
- Help communicate findings and model results to both technical and non-technical stakeholders
- Stay up-to-date with the latest developments in AI, machine learning, and data science
Essential Skills & Qualifications:
- Basic understanding of statistics, data analysis, and machine learning concepts (e.g., regression, classification, clustering)
- Exposure to data preprocessing, cleaning, and feature engineering (e.g., through academic or personal projects)
- Ability to work with structured and unstructured data at a foundational level
- Aware of ethical considerations in AI
- Degree in Computer Science, Mathematics, Statistics, Data Science, or a related discipline — or equivalent practical experience
- Good communication skills with the ability to explain concepts clearly
Desirable Skills (training provided where necessary):
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
- Basic knowledge of SQL and working with databases
- Aware of cloud platforms such as AWS, Azure, or Google Cloud
- Understanding of AI ethics, data privacy, and compliance considerations
- Experience with Python and data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib
What We Offer:
- Starting salary of £42,000 per annum with opportunities for growth
- Comprehensive full in-house training program provided by the hiring company
- Exposure to real-world AI projects and practical applications
- Supportive and collaborative working environment
- Flexible work options, with office locations in London
- Clear career development paths with ongoing mentorship and support
How to Apply:
If you’re ready to start your career in AI and data science with full training and support, we’d love to hear from you. Please submit your CV and a cover letter explaining your interest and any relevant academic or project experience.
Graduate AI Data Scientist in London employer: Tech Recruitment UK Ltd
Contact Detail:
Tech Recruitment UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data science field on LinkedIn or at local meetups. You never know who might have a lead on a job or can give you insider tips about the company.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your projects. Make sure you can explain your thought process clearly, especially when discussing any data analysis or machine learning concepts you've worked on.
✨Tip Number 3
Don’t just apply to jobs; engage with the companies you’re interested in! Follow them on social media, comment on their posts, and show genuine interest in their work. This can help you stand out from the crowd.
✨Tip Number 4
Apply through our website for the best chance of landing that Graduate AI Data Scientist role. We want to see your application and help you kickstart your career in this exciting field!
We think you need these skills to ace Graduate AI Data Scientist in London
Some tips for your application 🫡
Craft a Compelling CV: Your CV is your first impression, so make it count! Highlight your academic achievements and any relevant projects, even if they're from your studies. Keep it clear and concise, and don't forget to tailor it to the role!
Write a Personalised Cover Letter: This is your chance to show us your passion for AI and data science! Share why you're excited about this opportunity and how your background aligns with the role. Be genuine and let your personality shine through.
Showcase Your Skills: Even if you’re just starting out, mention any skills or tools you’ve used in your studies or personal projects. Whether it's Python, SQL, or machine learning concepts, we want to see what you've got!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Tech Recruitment UK Ltd
✨Know Your Basics
Brush up on your understanding of statistics, data analysis, and machine learning concepts. Be ready to discuss topics like regression, classification, and clustering, as these are fundamental to the role.
✨Showcase Your Projects
If you've worked on any academic or personal projects involving data preprocessing or feature engineering, be sure to highlight them. Discussing real examples will demonstrate your practical knowledge and enthusiasm for the field.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll be collaborating with both technical and non-technical stakeholders, being able to communicate your findings effectively is crucial.
✨Stay Updated
Familiarise yourself with the latest trends in AI and data science. Mention any recent developments or tools you’ve learned about, as this shows your commitment to staying current in a rapidly evolving field.