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- Tasks: Join exciting projects in Data Science, AI, and Machine Learning across multiple sectors.
- Company: We connect talented graduates with top tech companies in Cambridge and beyond.
- Benefits: Access to 70+ live roles, career growth, and opportunities in a vibrant tech ecosystem.
- Why this job: Make an impact in data science while working with innovative companies and diverse sectors.
- Qualifications: BSc, MSc, or PhD in Data Science, AI, or related fields required.
- Other info: Perfect for ambitious grads ready to thrive in a hub of innovation.
The predicted salary is between 28800 - 48000 £ per year.
🚀 Graduate/Entry Level Data Science Opportunities in Cambridge
BSc, MSc, and PhD Graduates! 🌟
Multiple Sectors – We encourage all Grad to Mid-level Data/AI/ML candidates to apply!
Why apply?
- 70+ live roles with top tech companies in Cambridge + More roles across the UK.
- Exciting career growth in Data Science, AI, and Machine Learning. 🚀
- Top employers in healthcare, finance, retail, technology, energy, and more.
- From Series B startups to fantastic scale-ups, we work with a diverse range of top employers.
- Perfect for ambitious graduates ready to make an impact in the data world. 🎯
We specialize in connecting the brightest and most talented graduates with exceptional opportunities in the fast-growing fields of Data Science, AI, and Machine Learning.
With 80+ live roles across Cambridge, we’re dedicated to placing you in a position where you can truly thrive. 🌱
Available Roles:
- 50+ Data Science and AI opportunities.
- 20+ Machine Learning and Analytics positions. 🧠
Top Active Roles in Cambridge:
- AI Bio Data Insights – Applying machine learning to bioinformatics and healthcare research.
- HealthTech Data Analytics – Using AI and machine learning for personalized healthcare.
- Fintech Predictive Analytics – Leveraging data to predict financial markets and trends. 📉
- Energy Optimization AI – Enhancing energy efficiency through data-driven strategies.
- GreenTech Analytics – Innovating sustainable energy solutions using AI. 🌞
- Manufacturing Insights – Data-driven solutions to improve efficiency in production. 🏭
- Fintech Predictive Analytics – Leveraging data to predict financial markets and trends. 📉
- SmartCity Solutions – Using data to optimize urban living and infrastructure. 🌳
- Automotive AI Systems – Developing autonomous vehicle technologies with data science.
- E-Commerce Intelligence – Leveraging data to boost online sales and customer experience.
- + More
Why Choose Us?
We’re specialists at placing the brightest graduates in the most prestigious roles within the data science sector across the UK. By working with us, you’ll be connected to cutting-edge companies seeking fresh talent to drive innovation and growth.
What We’re Looking For:
- BSc, MSc, or PhD graduates in Data Science, AI, Machine Learning, or related fields.
- Strong analytical, programming, and problem-solving skills. 💻
- A passion for applying data science to real-world challenges. 🔍
Why Cambridge?
Cambridge is a hub of innovation, with a rich history in academic excellence and cutting-edge technology. It’s an exciting place for data science graduates to build their careers in a vibrant tech ecosystem with limitless opportunities for growth. 🏙️
Ready to start your career in data science?
Apply now and let us connect you with the perfect role to launch your future! 🌟
Data Scientist - Graduate Roles Multiple Sectors employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Graduate Roles Multiple Sectors
✨Tip Number 1
Network with professionals in the data science field. Attend local meetups, workshops, or webinars in Cambridge to connect with industry experts and fellow graduates. Building relationships can lead to valuable insights and potential job referrals.
✨Tip Number 2
Engage with online communities focused on data science, AI, and machine learning. Platforms like LinkedIn, GitHub, and relevant forums can help you showcase your skills and projects, making you more visible to potential employers.
✨Tip Number 3
Stay updated on the latest trends and technologies in data science. Follow influential blogs, podcasts, and research papers to enhance your knowledge and demonstrate your passion during interviews.
✨Tip Number 4
Consider internships or volunteer opportunities in data-related roles. Gaining practical experience, even if it's unpaid, can significantly boost your resume and provide you with real-world applications of your skills.
We think you need these skills to ace Data Scientist - Graduate Roles Multiple Sectors
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV for the Data Scientist roles. Highlight relevant coursework, projects, and skills in Data Science, AI, and Machine Learning that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background makes you a great fit for the role. Mention specific sectors you're interested in, such as healthcare or fintech.
Showcase Your Projects: Include any relevant projects or research you've done in your application. This could be academic projects, internships, or personal initiatives that demonstrate your analytical and programming skills.
Highlight Soft Skills: In addition to technical skills, emphasize your problem-solving abilities and teamwork experience. These are crucial in collaborative environments like those found in data science roles.
How to prepare for a job interview at Intellect Group
✨Showcase Your Passion for Data Science
Make sure to express your enthusiasm for data science and how it can solve real-world problems. Share specific examples of projects or experiences that ignited your passion and demonstrate your commitment to the field.
✨Highlight Relevant Skills
Prepare to discuss your analytical, programming, and problem-solving skills in detail. Be ready to provide examples of how you've applied these skills in academic or personal projects, especially in areas like AI, machine learning, or data analytics.
✨Research the Company and Role
Before the interview, take time to research the company and the specific role you're applying for. Understand their focus areas, such as healthcare, fintech, or green tech, and be prepared to discuss how your background aligns with their mission and projects.
✨Prepare for Technical Questions
Expect technical questions related to data science concepts, algorithms, and tools. Brush up on key topics and be ready to solve problems on the spot, demonstrating your thought process and approach to tackling data challenges.
