Data Prediction Analyst

• Develop predictive models for electricity and gas production and consumption
• Work with both historical and external data sources
• Apply statistical methods and machine learning algorithms (e.g., time series, regression, classification)
• Collaborate with developers to implement models in production environments
• Interpret results clearly and translate them into business-relevant insights

• Strong analytical thinking and a passion for working with data
• Solid understanding of statistics, probability, and linear algebra
• Experience with Python or R and a good grasp of machine learning principles
• Ability to explain technical results in a way non-technical stakeholders can understand

Nice to have

• Experience in the energy sector is a plus

• Inspirational environment: Work on complex international projects using agile methodologies. An informal working environment with innovative colleagues
• Flexible work environment: Hybrid working to blend home working for focus and office working for collaboration and co-creation
• Vacation and time off: Guaranteed 5 weeks of vacation
• Education: Personal growth and challenging work with endless possibilities. Training, conference attendance, e-learning programs, mentoring
• Remuneration: A salary tailored to your qualities and experience
• Additional employee perks: Discounts with business partners, participation in team buildings, diversity food days, meetups, and knowledge snacks, arrangement of MultiSport card
• Seamless mobile communication: Discounted T-mobile Family tariffs for family members