Data Scientist

We are looking for experienced Data Scientist to our team in Espoo or Tampere!

This permanent position involves a variety of tasks in data and analytics within our customer projects – the role can be tailored according to your preferences and skills. We help our customers in developing their business through digitalization. You will collaborate closely with cross-functional teams to identify opportunities, solve problems, and implement data-driven solutions.

You will join a team of experienced professionals from different areas of software expertise. We work in a hybrid mode, but in this role we expect strong presence in Espoo or Tampere.

Naturally, you will have access to modern tools and strong co-operation with your colleagues.

One of our strengths in career development is our diverse range of clients and various projects in different fields. That enables us to offer versatile opportunities for our employees. At Etteplan, we are concentrating on helping our customers especially in industrial system digitalization.

As an Data Scientist at Etteplan, the role would include (but not be limited to):

• Analyzing large and complex data sets to identify patterns, trends, and insights
• Developing predictive models
• Staying up to date with the latest developments in data science and machine learning
• Providing guidance and support to stakeholders on integrating AI methodologies into their business processes to facilitate data-driven decision-making
• Communicating findings and insights to stakeholders in a clear and concise manner
  
  

We are looking for a person who has:

• Proven experience as a Data Scientist or in a similar role
• Experience building, monitoring and retraining machine learning models
• used ML algorithms for anomaly detection and predictive maintenance
• Proficiency in data profiling and visualization (e.g. Python, R, Seaborn)
• Experience with data manipulation and analysis tools (e.g. SQL)
• Excellent problem-solving skills and attention to detail
• An applicable educational background
  
  

We appreciate also, if you are familiar with:

• Time series data
• Unsupervised Learning
• Real-Time data processing
• GenAI algorithms, tech and methodologies: LLMs, Vision models, predictive neural networks
• Pyspark, Pytorch, Tensorflow