Junior Data Scientist

The Gig

OGRE is a AI-based tech company, striving to empower the energy sector with accurate production, consumption and losses forecasts. Multiple Romanian and international clients are already using our AI solutions to optimize their energy flows, reduce costs for end consumers, minimize waste, and lower carbon emissions.

We’re a small team of smart, ambitious engineers and data scientists who share a passion for building impactful technology. With solid academic backgrounds – including research experience from Oxford, Cambridge, and Berkeley – and complementary expertise, we are developing a scalable and user-friendly energy forecasting and optimization platform for global organizations.

If you will ask our colleagues what they value the most about working at OGRE, you’d probably hear:

• the opportunity to work on technology with real-world impact for the future.

• a clear and efficient task allocation process.

• a healthy culture of collaboration, learning, and solution-oriented thinking.

What we’re looking for:

We’re ready to grow and are searching for an experienced, self-driven data scientist to join us in building the OGRE forecasting platform. If you’re excited by AI, thrive on hands-on work, and want to make a tangible difference in the energy sector – let’s talk. Below, you’ll find more details about this role and what you’ll be doing at OGRE.

What we offer:

• Hybrid work with 2-4 days in the office per month. We have an ultra-modern office in Bucharest, in one of the Globalworth buildings.

• Build a platform that helps global clients reduce waste, costs, and carbon emissions.

• Work alongside some of the sharpest minds in AI and energy.

• Very tangible learning opportunities.

Benefits

• Attractive compensation package.

• Flexible working hours.

• Permanent contract.

• High-tech hardware.

• Friendly and supportive team.

What will you be doing?

• Develop Python scripts to parse, clean, and process large datasets from various sources to ensure data quality and consistency through robust pre-processing techniques.

• Detect anomalies or unusual data trends and propose ways to resolve them.

• Perform exploratory data analysis to identify relationships and trends using statistical methods and machine learning techniques.

• Collaborate with engineering teams to create scalable and autonomous solutions for AI-driven services.

What the ideal candidate should bring:

• Good understanding of statistics and experience with machine learning model development.

• Familiar with Python programming, including libraries like Pandas, NumPy, Scikit-learn, and frameworks like TensorFlow.

• Ability to work with large datasets and query data using SQL or other database tools.

• A collaborative mindset with strong teamwork skills and the ability to work closely with engineers, product teams, and other colleagues to achieve shared goals.

Qualifications:

• Bachelor’s degree in computer science, statistics, information systems or related field.