Data Scientist

Our client is a global leader in energy technology. Located in 90 countries, operates across the whole energy landscape. From conventional to renewable power, from grid technology to storage to electrifying complex industrial processes. The mission is to support companies and countries with what they need to reduce greenhouse gas emissions and make energy reliable, affordable and more sustainable.

In this role you will work on challenging projects from all areas of the energy industry. Through combining strategic and business insights with the latest data science techniques focusing on Generative AI, you help the business to drive maximum value from data and develop analytics solutions that provide strategic advantages in day-to-day operations.

Responsibilities:

• Developing advanced analytics solutions with focus on Generative AI techniques for application along the value chain;
• Working in cross-organizational, multi-disciplinary teams supporting the application and implementation of innovative data science and AI/ML concepts at scale;
• Driving the knowledge sharing, supporting trainings and raising awareness;
• Being up to date on latest development in data science, AI/ML principles and theories to help the business make truly data driven decisions;
• Collaborating in a partner ecosystem across industry and academia to drive research and leverage know-how in this field;
• Documenting developed methods and processes as well as presenting results to stakeholders across the organization on a regular basis.

Technologies – Python,  SQL.

Requirements

• Experience in applying GenAI at scale;
• Proven analytical skills in data science with focus on Generative AI, Natural Language Processing and other AI methods;
• Passion for data and analytics and driving the use of data across all parts of a business and ecosystem;
• Ability to effectively collaborate in multidisciplinary, multinational and global teams based on fluency in written and spoken English;
• Excellent communication and presentation skills;
• Strong customer focus and willingness to learn;
• University degree in Computers Science, Mathematics, Physics, Engineering or related field;
• Proficiency in programming languages such as Python, good knowledge in the application of statistical modelling as well as experience in deployment and cloud computing;
• Nice to have: R.

Benefits

• Diverse and technically challenging projects;
• Training budget for professional and personal growth;
• Flexible working hours and hybrid or remote workplace model;
• Flexible schedule and Agile/SCRUM environment;
• Technical equipment which you can choose.