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Solita

Senior Data Scientist

Solita is hiring a Senior Data Scientist in Helsinki, Finland. Level rates it ; you can apply on Solita.

Level's read on this job

  • Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
  • The posting mentions MLOps among its tools and skills.
  • Level classes it as a senior role.
  • Solita has 60 other open roles on Level.
  • Posted within the past two weeks.

AI in this role

ml-ops

{"lang":"en","role":["AI","Data, AI & Analytics"],"country":["Finland"],"seniority":["senior"],"image":"https://www.solita.fi/wp-content/uploads/2026/01/Openpositions-26-11.jpg","intro":"We're looking for a Senior Data Scientist to help solve our customers' most challenging business problems through data, machine learning, and generative AI."}

At Solita, we support our customers throughout their entire AI journey, from the earliest stages of ideation to scaling AI across their organizations. We take a holistic approach to business challenges: alongside strong technical expertise, consulting skills and design thinking are essential for identifying the right problems and defining effective solutions. 

Working in multidisciplinary teams, we build solutions that leverage the power of artificial intelligence, large language models (LLMs), and machine learning to create sustainable business impact. Generative AI is one of our key focus areas. 

What you’ll do: 

In this role, you'll work hands-on in customer projects alongside clients and Solita experts, including ML Engineers, AI Designers, and Software Developers. 

Your work will focus on understanding business challenges, exploring and preparing data, and developing ML, LLM, and AI models and algorithms that deliver measurable value. 

Examples of projects include: 

  • Identifying predictive maintenance needs and opportunities
  • Forecasting demand for products and services
  • Developing pricing recommendation solutions
  • Building AI-powered virtual assistants for customer service, HR, finance, and sales functions 

Our goal is to create solutions that are genuinely adopted and deliver value to both customers and end users. A machine learning model is only successful when its outputs are understandable, actionable, and easy to use in practice. 

What helps you succeed in this role: 

  • Experience developing production-grade machine learning and AI solutions.
  • Understanding of MLOps principles and experience supporting the deployment of models into production environments.
  • Experience working with cloud platforms such as Azure, AWS, or GCP in a data science context.
  • Expertise in one or more of the following areas: Machine Learning, Large Language Models (LLMs), Generative AI, Optimization, or Deep Learning.
  • Strong programming skills, particularly in Python.
  • The ability and motivation to work closely with customers in a consultative way while collaborating effectively within multidisciplinary teams.
  • Fluent English communication skills. Finnish language skills are considered an advantage. 

Additionally, we appreciate: 

  • Experience working within industrial environments 

What do we offer? 

  • The opportunity to solve meaningful business problems with data and AI, from predictive analytics and optimization to LLM- and generative AI solutions and see your work deployed and used in production.
  • A role with real influence, where you help shape problem definitions, guide solution design, and work closely with customers to turn business challenges into impactful data-driven solutions.
  • A multidisciplinary community of experts, collaborating daily with experienced Data Scientists, AI Engineers, Data Engineers, Cloud Architects, Designers, and Software Developers who actively share knowledge and support one another.
  • The freedom to grow in the direction that interests you most, whether that's deepening your expertise in machine learning and AI, strengthening your architecture skills, becoming a trusted technical advisor for customers or shaping your project portfolio around the domains, technologies and challenges that inspire you. 
  • A culture built on trust, autonomy, and low hierarchy, where you're trusted to make decisions, organize your work, and balance independence with collaboration.
  • Flexible ways of working, whether from home, one of our offices across Finland, or together with customers when needed.
  • Comprehensive benefits that support both your work and well-being, including the devices of your choice, extensive occupational healthcare, in-house coaching, regular massages, hobby clubs, and an active community. 

We will discuss the exact scope and focus of your role based on your experience, skills, and interests. Depending on your experience and level of responsibility, your fixed monthly salary will range from €4,800 to €6,000.

Read more about our projects and insights from our professionals:  

Solita employs several dozen professionals in data science & AI/ML engineering who work on domestic and international projects in Finland and the Nordic countries. Our professionals work as in-depth experts in their respective fields in various customer projects, e.g. in projects like this or for example at KONE.  

“At KONE we are for example supporting them to develop an intelligent maintenance service called KONE 24/7 Connected Services. An exciting project around machine learning and sensor data from more than 150,000 elevators.” - Mikael Ruohonen, AI, Analytics & Agents, Business Lead 

On a journey towards AI-driven HR service solutions across 50 countries - Solita 

Significant opportunities for Kela through AI  – Solita  

Driving AI solutions in sustainable stainless steel production – new digital innovation hub – Solita  

Data and AI strategy helps YIT boost productivity - Solita 

Breaking new ground in software development with AI-powered collaboration  – Solita 

Got interested?  

Let’s find out together if this could be the next step in your career at Solita! Please send us your CV or a link to your LinkedIn profile through our website. We would be happy to discuss what kind of role and project setup would best match your skills and goals. Please note that this role requires you to be located in Finland. Solita does not support relocation. 

Our recruitment consists of phone screening and two rounds of interviews where you will meet our team and learn more about working at Solita. You will be given the opportunity to show your skills and ask us questions. The purpose is to get to know each other better.  

If you would like more information about the role, please contact our recruiter Neea Turunen (neea.turunen@solita.fi). Please note that we do not accept applications via email.  

As a key technology, data, and design partner, Solita’s business is built on trust and responsibility. For this reason, the selected candidate’s identity will be verified. These checks are carried out in accordance with and within the limits of the Act on the Protection of Privacy in Working Life. In addition, some of our customers may carry out a separate security clearance vetting made by the Finnish Security and Intelligence Service, for example in case you start working for a customer operating in critical infrastructure sector.

 

How we rate this

Senior Data Scientist at Solita rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML Ops

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. How would you decide a model or AI system is ready to ship?
  3. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: ML Ops. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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