
Data Scientist
Vie hiiri rivin päälle tai napauta riviä nähdäksesi täydelliset tilastot (EUR / kk tässä kaaviossa).
Palkka-analyysi
Palkkatarjous sijoittuu vertailutasoon "Markkinoiden keskiarvo: Keskitaso-taso" nähden: palkkahaarukan keskipiste on noin 96 % vertailutason alapuolella. Kokonaisuutena tarjous asettuu markkinahaarukan (€5 133–€11 459) alapuolelle. Tarjottu palkkaväli (€320–€391) on markkinaa kapeampi, mikä viittaa pienempään vaihteluun. Vertailu perustuu 3 vastaavaan ilmoitukseen.
| Markkinat | Alaraja (25. persentiili) | Mediaani | Yläraja (75. persentiili) |
|---|---|---|---|
| Markkinoiden keskiarvo: Data Scientist | €3 550/kuukaudessa | €5 954/kuukaudessa | €8 777/kuukaudessa |
| Tietojemme mukainen palkka — ei mainittu ilmoituksessa (Keskitaso) | €320/kuukaudessa | €356/kuukaudessa | €391/kuukaudessa |
Shape the Future of Industrial Analytics as a Data Scientist Join us in shaping the future of industrial analytics. As a Data Scientist in our Information Management Application Development team, you will turn complex data into actionable insights that improve customer performance, reliability, and sustainability. You will develop advanced algorithms, analyze large-scale time-series datasets, and create analytics solutions that deliver real business value. Collaborating with process experts, data engineers, and cross-functional stakeholders, you will help transform innovative ideas into commercial products used by industrial customers around the world. Your responsibilities You will design and develop advanced analytics models and algorithms that transform complex time-series data into actionable insights for industrial customers. You will turn innovative ideas into commercial products and develop data-driven solutions that improve process performance and help predict equipment failures. You will ensure the reliability, accuracy, efficiency, and cybersecurity of analytics solutions through testing, validation, and continuous improvement. You will create and maintain clear documentation and contribute to the long-term maintenance and usability of analytics solutions throughout the product lifecycle. You will collaborate closely with process experts, data engineers, platform developers, and delivery teams, while supporting analytics-related problem solving across the organization and resolving complex incidents when needed. Expectations for you You hold a B.Sc. or M.Sc. degree in Computer Science, Data Science, Statistics, or a related field. You have experience in a Data Scientist or similar role and strong Python skills. You have hands-on experience in machine learning, statistics, signal processing, or software engineering, and a track record of developing production-ready analytics solutions. Experience with SQL, Snowflake, Apache Airflow, AWS, AI/GenAI, React, and time-series data is considered an advantage. Knowledge of process technology, predictive maintenance, or Valmet DNA/DNAe systems is considered an advantage. You are interested in product development and motivated to support and continuously enhance solutions throughout their lifecycle in a global environment. You have advanced English communication skills; Finnish language skills are considered an advantage. To succeed in this role You combine strong analytical thinking with a practical mindset and enjoy solving real-world industrial challenges. You are comfortable working with large datasets, collaborating across disciplines, and taking ownership of solutions from development to long-term maintenance. You are motivated by continuous learning and by creating reliable analytics solutions that generate customer value. We also expect you to align with Valmet’s Leadership Principles—practical behaviours that guide how we lead, collaborate, and succeed together: - Take accountability – Act with ownership, set clear expectations, and follow through - Lead with courage – Champion change, try bold ideas, and learn quickly - Build on trust – Listen to understand, be open, and create psychological safety - Collaborate for growth – Work across boundaries, value diverse perspectives, and focus on customer value Want to know more? Ready to make an impact with data and advanced analytics? Submit your application and take the next step in your career. Please send your application no later than August 30, 2026. For more information, please contact Maria Nurmoranta, Development Manager (maria.nurmoranta@valmet.com). When everything works together Valmet is where the best talent from a wide variety of backgrounds comes together. We work together with our customers throughout the entire lifecycle, delivering cutting-edge technologies and services as well as mission-critical automation and flow control solutions. Backed by more than 225 years of industrial experience and a global team of over 19,000 professionals close to customers, we are uniquely positioned to transform industries toward a regenerative tomorrow. At Valmet, diversity of thought drives innovation. We are committed to a respectful and inclusive environment, where people can be themselves and are supported to contribute at their best. We welcome applicants from all backgrounds and make hiring decisions based on skills, experience, and potential, never on personal characteristics such as gender, gender identity, age, ethnicity, nationality, disability, neurodiversity, religion, sexual orientation, or political views. http://www.valmet.com Valmet is a global technology leader serving process industries. We work together with our customers throughout the entire lifecycle, delivering cutting-edge technologies and services as well as mission-critical automation and flow control solutions. Backed by more than 225 years of industrial experience and a global team of over 19,000 professionals close to customers, we are uniquely positioned to transform industries toward a regenerative tomorrow. In 2024, Valmet’s net sales totaled approximately EUR 5.4 billion. Our head office is in Espoo, Finland, and we have experts in approximately 40 countries around the world. Valmet’s shares are listed on Nasdaq Helsinki. To protect our candidates' privacy, Valmet will never ask any personal information such as banking information or social security number during the recruitment process.
Työn tiedot
Vastuualueet
- Suunnitella ja kehittää edistyneitä analyyttisiä malleja ja algoritmeja aikasarjadatan varaan
- Muuttamalla ideat kaupallisiksi tuotteiksi ja dataohjatuiksi ratkaisuiksi
- Varmistaa analyyttisten ratkaisujen luotettavuus, tarkkuus, tehokkuus ja tietoturva
- Luo ja ylläpidä dokumentaatiota sekä tue tuotteen elinkaaren ylläpitoa
- Tee tiivistä yhteistyötä prosessiasiantuntijoiden, datamuurien, alustakehittäjien ja toimitusryhmän kanssa; tue ongelmanratkaisussa ja tapausten ratkaisemisessa
Vaatimukset
- Tietotekniikan kaupallinen tai maisterin tutkinto datatieteen, tilastotieteen tai vastaavalta alalta
- Kokemus Data Scientist -roolista tai vastaavasta
- Vahvat Python-taidot
- Käytännön kokemusta koneoppimisesta, tilastotieteestä, signaalinkäsittelystä tai ohjelmistokehityksestä
- Kokemusta tuotantovalmiiden analyyttisten ratkaisujen kehittämisestä
- Kokemus SQL:stä, Snowflake:sta, Apache Airflow:sta, AWS:stä, AI/GenAI:sta, React:sta sekä aikaisarjoista katsotaan eduksi
- Prosessiteknologian, ennaltaehkäisevän huollon tai Valmet DNA/DNAe -järjestelmien tuntemus katsotaan eduksi
- Intohimo tuotteen kehittämiseen ja elinkaaren tuki globaalissa ympäristössä
- Edistyneet englannin kielen taidot; suomen kielen taidot katsotaan eduksi
Taidot ja teknologiat
Koulutustaso
Ylempi korkeakoulututkinto
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