Data scientist (Machine Learning)

About us:

At Grant Thornton Greece, we’re not just part of a global network of 73,000 professionals across 150 countries. We’re independent thinkers who prioritize quality, inclusion, and integrity to create a better, more personal experience for our clients and our team. Our mission? To deliver expertise in a way that goes beyond — Personal, Proactive, and Agile.

We don’t predict the future here—we shape it. 🚀

Milestones WE are Proud of

🏆 Great Place to Work certified for three years running!

👩‍💼 Best Workplaces for Women 2024, for two consecutive years

⭐Best Workplace in Professional Services & Consulting for 2025!

🌈 Proud members of the Diversity Charter Greece and certified with the SHARE Equality Label

🏠 Flexible way of Working (Hybrid)

🧠Coaching & Counseling from Senior Professionals

The Role in Detail

As a Data Scientist, you’ll be at the forefront of leveraging data to solve complex problems and drive strategic decisions, shaping the future of data-driven solutions. You’ll design and optimize machine learning models, extract insights from large datasets, and communicate actionable findings to stakeholders. Your expertise will encompass a variety of techniques, from regression and clustering to neural networks and NLP, ensuring impactful results. Collaborating with cross-functional teams, including data engineers and business analysts, you’ll translate business needs into technical solutions and guide projects from exploration to deployment.

Must-haves:

• 3+ years of relevant experience in machine learning, algorithm development, big data platforms and technology.
  
• Good Understanding of predictive and machine learning techniques like logistic regression, random forest, Gradient Boosting Machines (GBM), Neural Networks etc. 
  
• Strong problem-solving ability, and willingness to dive deep and work on difficult and ambiguous problems with unknown outcomes.
  
• Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch), 
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
  
• Ability to explain complex technical concepts to non-technical audiences.
  
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure)

Bonus points: 

• Master's degree or/and Phd in Data Science, Computer Science, Statistics, Mathematics
• Knowledge of big data technologies (e.g., Hadoop, Spark)

What’s in it for You?

At Grant Thornton Greece, we believe that great work deserves great rewards! Here’s what you can look forward to:

• 🌈 Diverse and inclusive workplace
• 🏋️‍♂️ Friendly, Dynamic Working environment
• 💰 Competitive Salary & Bonus
• 🩺 Insurance Program for all GT members
• 👩‍🏫 Fully funded Training & Professional Qualifications
• 🏖 Extra Days-off: August Freedays, Volunteering Days, Early leave days
• 🏃🏽‍♂️ Corporate Sports Teams (e.g., Running, Basketball, Volleyball)
• 🎁 Exclusive Discounts: Special offers and discounts for employees
• 🚗 Company Car (depending on job level)

Ready to Go Beyond?

If you're imagining a career that’s anything but ordinary, then Grant Thornton Greece is the place for you! We don’t just do business as usual—we go beyond. Ready to take that leap?

Simply upload your up-to-date CV, hit "apply", and we’ll handle the rest! ✨

We are Grant Thornton. We go beyond business as usual, so you can too.
#WelcomeToMore #GoBeyondWithUs