At a Glance
- Tasks: Join top tech companies in Manchester as a Data Scientist, tackling real-world challenges.
- Company: We connect talented graduates with leading employers in fintech, healthcare, and more.
- Benefits: Access 80+ roles, career growth in AI, and opportunities across the UK.
- Why this job: Perfect for ambitious grads ready to make an impact in a dynamic, tech-driven city.
- Qualifications: BSc, MSc, or PhD in Data Science, AI, or related fields required.
- Other info: Roles available in diverse sectors like sustainability, logistics, and energy.
The predicted salary is between 28800 - 48000 Β£ per year.
Graduate/Entry Level Data Science Opportunities in Manchester
BSc, MSc, and PhD Graduates
(Multiple Sectors – We encourage Grad to Mid level candidates to apply)
Why apply?
- 80+ live roles with top tech companies in Manchester + More roles across the UK.π
- Exciting career growth in Data Science, AI, and Machine Learning. π
- Top employers in fintech, healthcare, retail, sustainability, logistics, energy, manufacturing, and more. π₯
- From Series B startups to fantastic scale-ups, we work with a diverse range of top employers. π
- Perfect for ambitious graduates ready to make an impact in the data world. π―
We specialise 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 Manchester, weβre dedicated to placing you in a position where you can truly thrive.
Available Roles:
- 50+ Data Science and AI opportunities. π
- 30+ Machine Learning and Analytics positions. π§
Top Active Roles in Manchester:
- DataVision AI Lab β A scale-up specialising in predictive analytics for fintech. πΉ
- SmartCity Insights β Innovators in urban data and sustainability. π³
- HealthTech Analytics β Pioneers in healthcare-focused AI systems. π₯
- Retail AI Dynamics β A Series B startup transforming retail data platforms. ποΈ
- GreenEnergy AI β Experts in renewable energy optimisation through data science. π
- LogisticsTech Analytics β Transforming logistics and supply chain management with AI. π
- SupplyChain AI β Revolutionizing logistics with predictive analytics. π¦
- EnergyData Solutions β Using AI to optimize energy grids and consumption. β‘
- ManufactureAI Analytics β Data-driven insights for the manufacturing industry. π
+More
Why Choose Us?
Weβre committed to placing the brightest graduates in the most prestigious roles within the data science sector. By working with us, youβll be connected to cutting-edge companies seeking fresh talent to drive innovation and growth. π±
What Weβre Looking For:
- BSc, MSc, or PhD graduates in Data Science, AI, Machine Learning, or related fields. π
- Strong analytical, programming, and problem-solving skills. π»
- A passion for applying data science to real-world challenges. π
Why Manchester?
Manchester is a dynamic, tech-driven city brimming with opportunities for growth. Whether you\’re looking to join a fast-paced startup or a well-established tech leader, this is the place for ambitious data science graduates to build their careers. ποΈ
Ready to start your career in data science?
Apply now and let us connect you with the perfect role to launch your future! π
Data Scientist - Graduate Roles Multiple Sectors employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Scientist - Graduate Roles Multiple Sectors
β¨Tip Number 1
Network with professionals in the data science field. Attend local meetups, workshops, or tech events in Manchester to connect with industry experts and potential employers. Building relationships can lead to valuable referrals.
β¨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 recruiters.
β¨Tip Number 3
Stay updated on the latest trends and technologies in data science. Follow influential blogs, podcasts, and webinars to enhance your knowledge and demonstrate your passion during interviews.
β¨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 insights into the industry.
We think you need these skills to ace Data Scientist - Graduate Roles Multiple Sectors
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to data science, AI, and machine learning. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background aligns with the opportunities available. Mention specific companies or roles you are interested in to show your enthusiasm.
Highlight Your Projects: Include any relevant projects or coursework in your application that demonstrate your analytical and programming skills. This could be academic projects, internships, or personal initiatives that relate to data science.
Prepare for Technical Questions: Be ready to discuss your technical skills and problem-solving abilities during interviews. Brush up on common data science concepts and be prepared to explain your thought process in tackling data-related challenges.
How to prepare for a job interview at Intellect Group
β¨Showcase Your Projects
Be prepared to discuss any relevant projects you've worked on during your studies or internships. Highlight your role, the technologies you used, and the impact of your work. This demonstrates your practical experience and passion for data science.
β¨Understand the Company
Research the companies you're interviewing with, especially their focus areas like fintech, healthcare, or sustainability. Tailor your responses to show how your skills align with their mission and projects, which will impress the interviewers.
β¨Prepare for Technical Questions
Expect technical questions related to data analysis, machine learning algorithms, and programming languages. Brush up on key concepts and be ready to solve problems on the spot, as this showcases your analytical skills and readiness for the role.
β¨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategies, team dynamics, and growth opportunities. This not only shows your interest in the role but also helps you assess if the company is the right fit for you.