Industrial Data Scientist: Predictive Analytics

Sandvik; Tampere; On-site; EUR 70,000 - 90,000; Full time

Job summary

Sandvik Mining and Rock Solutions in Tampere, Finland invites a Data Scientist to design and build analytics solutions that boost fleet productivity, safety and sustainability. You will collaborate with Data Engineers, Software Developers and other experts to share insights from data.

You will build predictive models, real-time anomaly detection from time-series data, and integrate telemetry, maintenance and logistics data to create valuable insights and tools.

Qualifications

• Master’s/PhD in applied physics/mathematics or computer/data science.
• Strong mathematical & analytical background.
• Good coding and machine learning skills.
• Knowledge of data modelling and database technologies.
• Experience in software development and data engineering is a plus.
• Proficient in English.

Responsibilities

• Build state-of-the-art predictive models and algorithms to support operations and business decisions.
• Design real-time anomaly detection based on time-series modelling.
• Combine telemetry, maintenance and logistics data to develop valuable insights and solutions.
• Proactively identify and champion solutions that solve complex problems across multiple data sources.
• Participate in the design and execution phase of data pipelines.

Skills

Mathematical & analytical skills

Coding & machine learning

Data modelling & databases

Software development & data eng.

English proficiency

Independent work

Education

Master's/PhD in applied physics/mathematics or computer/data science

Tools

SQL/NoSQL databases

Visualization tools

Job description

Sandvik Mining and Rock Solutions in Tampere, Finland invites a Data Scientist to design and build analytics solutions that boost fleet productivity, safety and sustainability. You will collaborate with Data Engineers, Software Developers and other experts to share insights from data.

You will build predictive models, real-time anomaly detection from time-series data, and integrate telemetry, maintenance and logistics data to create valuable insights and tools.