Senior Data Scientist (AI)

Do you want to use data science to make a real impact in healthcare? Are you excited about working with large datasets, developing predictive models, and turning data into meaningful insights? If so, this could be the right opportunity for you.

About the Role

We are looking for a Senior Data Scientist (AI) to join our client, an innovative and fast-growing health tech company that is shaping the future of digital healthcare. In this role, you will analyse complex healthcare data, develop predictive machine learning models and collaborate closely with engineers, product teams, and healthcare professionals to create impactful solutions. Your work will play a critical role in improving patient outcomes, optimising healthcare processes and ensuring data-driven insights support key business decisions.

Key Responsibilities

• Develop and deploy advanced AI and machine learning models to support key business objectives.
• Collaborate with cross-functional teams, including data engineers, product managers, and software developers, to integrate AI solutions.
• Analyse large structured and unstructured datasets to extract actionable insights and drive data-driven decision-making processes.
• Stay updated with the latest trends and technologies in AI, ML, and data science.
• Monitor, refine and improve current data models, ensuring scalability and performance.

What We’re Looking For?

We appreciate diverse experiences and understand that the right person for the role may not tick every box perfectly. A dedication to learning and a solid foundation in data science are what we’re looking for.

Essential Skills:

• 5+ years of experience in data science and AI-focused roles.
• Strong proficiency in programming languages such as Python or R.
• Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proficiency in data processing and analysis tools (e.g., SQL, Pandas, NumPy).
• Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) for model deployment.
• Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Understanding of MLOps best practices, including model monitoring and retraining.
• Excellent analytical and problem-solving skills with a deep understanding of algorithmic approaches.
• Strong communication skills and the ability to present complex ideas to non-technical stakeholders.
• Proficiency in English, both written and spoken, is essential for team collaboration and reporting.

Bonus Points for:

• Knowledge of Finnish language.
• Advanced degree (MSc or PhD) in Computer Science, Data Science, Statistics, or a related field.
• Experience in natural language processing (NLP) and computer vision.
• Knowledge of big data technologies like Hadoop, Spark, or similar frameworks.
• Previous work in the health tech industry or a similar domain.
• Familiarity with healthcare data standards (HL7, FHIR) and privacy regulations (GDPR).
• Exposure to Graph databases (Neo4j) or real-time data processing tools (Kafka).
• Contributions to open-source projects in the field of AI or data science.
• Certification or specialist training in machine learning or AI.

What’s in It for You?

• Competitive salary (€6,000–7,800/month, depending on experience).
• Flexible work arrangements – hybrid model with remote work within Finland.
• Professional development opportunities – access to training, conferences, and learning resources.
• Wellness benefits – gym membership, mental health support and a yearly wellness stipend.
• Generous vacation policy – work-life balance matters.
• A chance to work on meaningful projects – your code will contribute to real-world healthcare improvements.

Location: Helsinki, Finland (Hybrid / Remote within Finland)

The Application Process

Our straightforward process aims to identify the right fit efficiently:

1️⃣ Initial Interview (30 min) – A conversation with a recruiter to understand your motivations and goals. 2️⃣ Hiring Manager Interview (1 hour) – Meet the hiring manager from the client to go over your experience and approach to data science. 3️⃣ Technical Interview (1 hour) – An exploration of your experience, problem-solving ability, and technical knowledge with the client’s hiring team. 4️⃣ Offer – If all goes well, we will extend a job offer to join our team!

Interested in this opportunity?

Submit your application via our online form by March 26, 2025. Please note that application submitted through email are not being processed.

If you have any questions regarding the role, please reach out to our recruiter, Cristina Ahjolinna, at cristina@talentiqi.com.