Senior Forecasting Data Scientist (Energy)

TL;DR

Senior Forecasting Data Scientist (Energy): Building, developing, and deploying forecasting models to support business requirements with an accent on portfolio insights and sensitivity modelling. Focus on advancing the monitoring of model accuracy and performance and maintaining a continuous learning approach.

Location: Hybrid working model, requiring presence in Manchester, United Kingdom or Kassel, Germany.

Company

hirify.global, an international energy company, ensures the security of supply and drives the decarbonisation of its customers across the energy value chain.

What you will do

• Build, develop, and deploy forecasting models to support business requirements.
• Collaborate with key stakeholders on portfolio insights and sensitivity modelling.
• Advance the monitoring of model accuracy and performance.
• Maintain a continuous learning approach to ensure solutions remain up to date.

Requirements

• Proven experience in a data science role translating business challenges into analytical problems and developing data-driven solutions.
• High level proficiency in Python, SQL, and Machine learning techniques.
• Advanced analytical competencies.
• Effective communication and presentation skills (both written and verbal).

Nice to have

• Proven experience in data science across the power or broader energy industry.
• Experience in the delivery of time series forecasting and analysis.

Culture & Benefits

• Competitive starting salary with bonus earning potential.
• Hybrid working model.
• Non-contributory pension with 10% employer contribution.
• 25 days holiday plus bank holidays and volunteering days.
• Life assurance, medical and dental insurance (family cover), and a range of optional flexible benefits.
• Opportunities for career growth and development through a blended learning approach.