Data Science Specialist

Integrify is an upskilling and recruitment services provider that brings IT professionals and tech teams together. Over 150 organizations, including ABB, Telia, TietoEvry, Digia, and Fujitsu, trust the expertise of our professionals.

We are now seeking an experienced Data Scientist / AI&ML Specialist to join one of our partner companies' R&D teams.

Are you the tech expert ready to take the next step in your career and tackle new challenges in cutting-edge AI development?

About the Role

We are looking for an experienced Data Scientist / AI&ML Specialist to join an in-house R&D team. You will be instrumental in developing intelligent, world-class services that move beyond proof-of-concept and directly into robust, commercial-ready applications.

This role requires a balance of deep scientific rigor and practical engineering skill. You will focus on building robust, scalable AI systems that solve complex, real-world problems.What you'll be doing

• Architecting & Developing: deep learning architectures for complex structured or image-based data.
• Driving Innovation: Apply state-of-the-art AI/ML methods (e.g., transfer learning, multimodal learning, generative models)
• Ensuring Robustness: Integrate uncertainty quantification techniques into model predictions
• Collaboration: Work closely with product managers and engineering teams
• MLOps & Deployment: Contribute to robust model deployment pipelines
• Documentation: Clearly document methods and results

What you'll need to succeed

• Deep Learning Expertise: Strong theoretical foundation and professional, practical experience with deep learning methods applied to image or structured data.
• Python Power: Advanced Python programming skills with expertise in modern frameworks like PyTorch and/or TensorFlow.
• Production Experience: Proven hands-on experience moving AI/ML solutions from research/PoC phases into robust production systems.
• Reliability Knowledge: Knowledge of uncertainty quantification techniques; familiarity with Bayesian approaches is a significant advantage.
• Engineering Mindset: Solid familiarity with modern software engineering practices, including Git, CI/CD, containerization (e.g., Docker), and cloud environments.

Bonus points if you have

• Experience in specialized data analysis within complex domains (e.g., medical imaging, geospatial, finance).
• Understanding of industry-specific data standards (e.g., DICOM, HL7, FHIR, or similar specialized data protocols).
• Excellent communication and collaboration skills—the ability to bridge technical, clinical, and business perspectives.
• An advanced degree (PhD/MSc) in Computer Science, Data Science, Applied Mathematics, or a related field.

Why should you apply?

• Exciting projects with leading tech companies
• Career development opportunities with upskilling support
• Flexible working environment (hybrid/remote options available)

If you’re a skilled Data Scientist looking for a new challenge in AI&ML, we’d love to hear from you! Click Apply, and let's get to know each other.