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- Tasks: Apply data science and machine learning to solve real-world business problems.
- Company: Join a global leader in AI and data innovation.
- Benefits: Flexible hybrid working, mentorship, and a culture of innovation.
- Why this job: Make a real impact on global challenges while learning from industry experts.
- Qualifications: Pursuing a Master's or PhD in Data Science or related field with Python skills.
- Other info: Collaborative environment with opportunities for career growth and meaningful projects.
Haystack is working with BCG on this opportunity
Data Science Internship
Join a global consulting and technology leader at the forefront of AI and data innovation. This is an opportunity to be part of a high-impact team transforming how organisations use data to make smarter, faster decisions — tackling challenges that range from climate change to large-scale digital transformation.
You\’ll join a diverse, cross-disciplinary team of data scientists, engineers, and strategists building scalable AI-driven products and solutions that drive measurable results for global clients.
What you\’ll do
- Apply data science and machine learning techniques to real-world business problems across multiple industries.
- Design, build, and deploy AI models and analytical tools that deliver actionable insights.
- Translate complex technical concepts into clear, accessible explanations for business audiences.
- Collaborate closely with engineers, consultants, and clients to turn data into impact.
- Support the creation of thought leadership through research, white papers, and conferences.
- Take part in all stages of the analytics lifecycle — from discovery to deployment and optimisation.
What you\’ll bring
- Currently pursuing a Master\’s or PhD in Data Science, Computer Science, Statistics, Operations Research, or a related field.
- Strong experience with Python and a good understanding of modern machine learning methods.
- Excellent analytical and problem-solving skills, with the ability to connect data-driven insights to real business value.
- Ability to communicate complex ideas clearly to both technical and non-technical audiences.
- A collaborative mindset and passion for learning, building, and experimenting with new technologies.
- Interest in working in fast-paced, high-impact, client-facing environments.
Why this internship
- Be part of a global team solving some of the most complex challenges facing businesses and society.
- Gain exposure to world-class AI and data science practices within an elite consulting environment.
- Work on meaningful projects that have real-world impact across industries and geographies.
- Learn from leading experts in analytics, machine learning, and digital strategy.
- Enjoy flexible hybrid working, mentorship, and a culture that champions innovation and curiosity.
If you\’re passionate about using data and AI to create meaningful change, this internship offers the perfect launchpad for a high-impact career in data science and analytics.
Graduate Data Scientist employer: Haystack
Contact Detail:
Haystack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Haystack or BCG on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss machine learning methods. We should also think about how to explain complex concepts in simple terms — that’s key for impressing the interviewers.
✨Tip Number 3
Show off our passion for data! During interviews, share examples of projects where we’ve used data science to solve real problems. This will help us stand out as candidates who are not just skilled but also genuinely interested in making an impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our skills align with what Haystack and BCG are looking for.
We think you need these skills to ace Graduate Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Graduate Data Scientist role. Highlight your experience with Python and any machine learning projects you've worked on. We want to see how your skills connect to the job description!
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 make sure to mention specific projects or experiences that relate to the role.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Whether it's through coursework, internships, or personal projects, we want to see your analytical mindset in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts and submit your materials!
How to prepare for a job interview at Haystack
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning techniques. Be ready to discuss how you've applied these skills in real-world scenarios, as this will show your practical understanding and ability to tackle business problems.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll need to translate data insights for non-technical audiences, being able to communicate clearly is key. Try explaining your past projects to friends or family who aren't in the field.
✨Show Your Collaborative Spirit
Highlight your teamwork experiences during the interview. Share examples of how you've worked with engineers, consultants, or clients to achieve a common goal. This will demonstrate your collaborative mindset, which is crucial for this role.
✨Be Curious and Open to Learning
Express your passion for learning and experimenting with new technologies. Share any recent projects or tools you've explored, as this shows your enthusiasm for the field and your commitment to staying updated with industry trends.