At a Glance
- Tasks: Complete industry-recognised data science training and build a portfolio with real-world projects.
- Company: Join a leading programme with guaranteed job placement in data science.
- Benefits: Earn £26,000 - £35,000, flexible training, and a 100% refund if no job is offered.
- Other info: Flexible programme can fit around your schedule, with job opportunities across the UK.
- Why this job: Kickstart your career in data science with full training and support from a personal tutor.
- Qualifications: No experience needed, just a passion for data science and willingness to learn.
The predicted salary is between 26000 - 35000 £ per year.
Salary: £26,000 - 35,000 per year
Requirements
- No previous experience required
- Willingness to complete full data science training and certification
- Ability to complete online courses, practical projects, and portfolio development
- Interest in starting a career in data science
- Ability to complete the programme at a pace that suits your circumstances
Responsibilities
- Complete industry-recognized data science training from beginner to junior level
- Learn Python, R, machine learning, AI, and other relevant topics
- Complete mini projects to build practical experience
- Study for and pass the CompTIA Data+ exam
- Complete two practical projects based on real-world scenarios
- Work with ongoing support from a personal tutor
- Build a portfolio to demonstrate job-ready skills
- Progress through the recruitment stage after successful completion of the traineeship
Technologies
- AI
- Support
- Machine Learning
- Python
We are offering a Data Scientist placement programme designed to help candidates start a new career in data science, with full training provided and a job guarantee within 20 miles of your location upon completion. Our traineeship is flexible and can be completed while working full time, part-time, or while unemployed, with placement possible in as little as 6 to 12 months. We partner with large organisations across the UK to provide nationwide job opportunities, and successful candidates will be supported through training, certification, practical projects, and portfolio building before moving into a Data Scientist role with a great starting salary. The programme is available for a one-off fee or through an instalment plan, and we offer a 100% refund of course fees if no role is offered at the end of training.
Data Science Placement Programme in Glasgow employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Placement Programme in Glasgow
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at Stryker Corporation.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like Stryker Corporation a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like Stryker Corporation.
We think you need these skills to ace Data Science Placement Programme in Glasgow
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at Stryker Corporation
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to Stryker Corporation. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join Stryker Corporation specifically. Let your motivation shine through!
