At a Glance
- Tasks: Develop machine learning models, analyse data, and create dashboards with expert guidance.
- Company: Innovative Technology, a leader in tech innovation.
- Benefits: Competitive salary, flexible hours, 32 days holiday, and educational sponsorship.
- Other info: Join a supportive team and unlock your potential in a thriving environment.
- Why this job: Gain hands-on experience in data science and make an impact in a dynamic field.
- Qualifications: Undergraduate in penultimate year with skills in machine learning and Python.
The predicted salary is between 20000 - 30000 β¬ per year.
Innovative Technology is seeking a Data Science Intern for a 12-month position starting in Summer 2026 in Oldham, UK. The intern will work closely with experienced Data Scientists to develop machine learning models, analyse data, and create dashboards.
Applicants should be undergraduates in their penultimate year, with skills in machine learning and Python.
The position offers a competitive salary, flexible hours, 32 days of holiday, educational sponsorship, and other valuable perks.
Data Science Internship β Practical ML and Analytics in Oldham employer: TargetJobs UK
Innovative Technology is an excellent employer for aspiring data scientists, offering a dynamic work culture that fosters collaboration and creativity in Oldham, UK. With a focus on employee growth, the company provides valuable mentorship from experienced professionals, competitive salaries, flexible working hours, and generous holiday allowances, making it an ideal environment for interns to thrive and develop their skills in machine learning and analytics.
StudySmarter Expert Adviceπ€«
We think this is how you could land Data Science Internship β Practical ML and Analytics in Oldham
β¨Tip Number 1
Network like a pro! Reach out to current or former interns at Innovative Technology on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data analysis work. This will help us stand out during interviews and demonstrate our hands-on experience.
β¨Tip Number 3
Prepare for the technical interview! Brush up on Python and machine learning concepts. We can practice common interview questions and coding challenges to boost our confidence.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure our application gets noticed. Plus, we can keep an eye on any updates or new opportunities that pop up.
We think you need these skills to ace Data Science Internship β Practical ML and Analytics in Oldham
Some tips for your application π«‘
Tailor Your CV:Make sure your CV highlights your skills in machine learning and Python. We want to see how your experience aligns with the role, so donβt be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Keep it engaging and personal β we love to see your personality come through.
Showcase Your Projects:If you've worked on any cool machine learning projects or data analyses, make sure to mention them! Weβre keen to see what youβve done and how you approach problem-solving in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you donβt miss out on any important updates from us!
How to prepare for a job interview at TargetJobs UK
β¨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation metrics, and any projects you've worked on. This will show your understanding and passion for the field.
β¨Show Off Your Python Skills
Prepare to demonstrate your Python knowledge. You might be asked to solve a coding problem or explain how you've used Python in past projects. Practising common data manipulation libraries like Pandas and NumPy can really help.
β¨Prepare Questions About the Role
Think of insightful questions to ask about the internship. This could be about the types of projects you'll work on or the tools the team uses. It shows you're genuinely interested and engaged with the opportunity.
β¨Highlight Your Teamwork Experience
Since you'll be working closely with experienced Data Scientists, share examples of how you've successfully collaborated in teams. This could be from university projects or any relevant work experience, showcasing your ability to communicate and contribute effectively.