Industrial Analytics Data Scientist: Time-Series & ML

FI310 Valmet Automation Oy; Tampere; On-site; EUR 65,000 - 95,000; Full time

Job summary

Valmet is seeking a Data Scientist to join the Information Management Application Development team in Tampere, Finland. You will transform time-series data into actionable insights, develop advanced analytics models, and contribute to analytics solutions used across industrial customers globally.

You will work with Python, ML, and data engineering tools, aiming to deliver reliable analytics with strong cybersecurity and lifecycle management.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Strong Python experience and track record in data science or similar roles.
• Hands-on experience with ML, statistics, signal processing, or software engineering and production-ready analytics.
• Experience with SQL, Snowflake, Apache Airflow, AWS, AI/GenAI, React, and time-series data is advantageous.
• Knowledge of process technology or Valmet DNA/DNAe systems is a plus.

Responsibilities

• Design and develop advanced analytics models and algorithms for industrial data.
• Turn ideas into commercial analytics products and data-driven solutions.
• Ensure reliability, accuracy, efficiency, and cybersecurity of analytics solutions.
• Create and maintain documentation and support lifecycle maintenance of analytics solutions.
• Collaborate with process experts, data engineers, platform developers, and delivery teams to resolve incidents.

Skills

Python

Time-series data

Machine learning

Statistics

English communication

Education

Bachelor's or Master’s degree in Computer Science / Data Science / Statistics

Tools

SQL

Snowflake

Apache Airflow

AWS

GenAI

React

Job description

Valmet is seeking a Data Scientist to join the Information Management Application Development team in Tampere, Finland. You will transform time-series data into actionable insights, develop advanced analytics models, and contribute to analytics solutions used across industrial customers globally.

You will work with Python, ML, and data engineering tools, aiming to deliver reliable analytics with strong cybersecurity and lifecycle management.