Are you a Data Scientist driven by turning data into tangible business results? Do you want to help organizations become more productive and competitive?

Vuono Group is now looking for Senior Data Scientists to join our growing team of experts in Helsinki. Vuono Group is a consultancy that drives business value with processes and AI. We empower Nordic organisations in both the private and public sectors to bridge the gap between business needs and AI capabilities, enabling smarter decision-making, increased operational efficiency, and accelerated growth. As a member of the Futurice ecosystem, we offer the best of both worlds — a robust network of professionals combined with the agile and innovative environment of a startup.

About The Role

As a Data Scientist, you are interested in what happens under the hood of modern data solutions and data architectures. You care about data quality, usability and the value it can provide for various business processes. You're experienced with data science and engineering practices, including data observability, implementing MLOps (maybe even LLMOps) workflows and real-time data processing. You understand the intersection of ML/AI systems and data engineering and can build scalable pipelines that support both analytical and operational use cases. Experience with cloud-native data architectures (e.g. Azure, AWS, GCP) is essential.

At Vuono Group, you will get to work in a cross-competence team making our clients' businesses more intelligent with data. In practice, this means building data pipelines, integrating systems together, and utilising ML and AI for insights and operational use cases.

What’s most important, however, is your motivation to accomplish measurable impact.

What We’re Looking For

• Experience in planning and building production level data solutions that solve real business problems
• An analytical mindset and problem-solving skills
• Machine learning modelling and/or natural language processing experience
• Experience in designing and implementing end-to-end data pipelines that transform raw operational data into business-ready information products
• Experience in running and monitoring production workloads
• Programming experience in Python and SQL
• Willingness and readiness to learn and operate with new technology platforms, tools, whether low code like Celonis or Fabric or pro code like new cloud infrastructure
• MSc degree in Machine Learning, Data Science and Artificial Intelligence, Data Engineering, Statistics, Mathematics, Computer Science or similar
• Professional-level Finnish and English language proficiency

The Following Is Considered a Plus

• Interest in continuously learning and applying new technologies and platforms; generative AI, RAG, AI Agents, among others
• Experience with various tech stacks, e.g. AWS Databricks, Azure Data Factory, Microsoft Fabric, DBT, Apache Kafka, Terraform, or similar
• Experience in utilising data from business technology platforms, such as ERP, CRM or similar (SAP, Salesforce, ServiceNow, etc.)
• Experience in transforming data for process and content intelligence purposes
• Previous consulting experience

What We Offer

We are building the best work environment for professionals in digital efficiency. To get there, we invest in the well-being and work-life balance as well as the professional development of our people. We operate on trust and transparency rather than titles, fostering a high-autonomy, growth-oriented environment where collaboration, impact, and everyone’s unique thoughts and ideas are valued.

In addition to the usual perks, such as work tools of your choice and extensive healthcare benefits, we also offer our employees the opportunity to invest in our rapidly growing company via an employee share program.

Next steps

We’re always on the lookout for new talent, which is why we recruit on a rolling basis. If this opportunity feels like the right fit for you, take the next step and submit your application!

Once we receive your application, we’ll be in touch. Our recruitment process typically includes at least two interviews, giving you the chance to meet some of our team members and giving us the opportunity to get to know you better: as a professional, a colleague, and a person. Reference checks are also a standard part of our process. We look forward to hearing from you!