Lead Data Scientist - Data & Analytics

Company Description

Vattenfall is a European energy company with approximately 20 000 employees. For more than 100 years we have electrified industries, supplied energy to people’s homes and modernized our way of living through innovation and cooperation. We now want to make fossil-free living possible within one generation. To be able to reach this ambitious goal we are looking for talented individuals who, in addition to their passion for their own role, also have strong team spirit and want to contribute to supporting a meaningful corporate mission. 

Job Description

Do you want to contribute to the energy transition and a sustainable world? Does developing data driven Business solutions give you energy? Then join our Data & Analytics team as the Lead Data Scientist!

About the Data & Analytics department

You will be a part of the Vattenfall BtC Data & Analytics department, which develops data driven solutions for our customers and customer processes. The department is spread out in three business domain teams; where data experts and business collaborate closely to realize valuable data science solutions. Each Data & Analytics domain team consists of an Analytics Translator, Analytics Engineers and Data Scientists, and is supported by Data- & ML Engineers from IT.

The data science solutions the Data & Analytics team creates have a strong impact on Vattenfall Business to Consumer (BtC) ambitions regarding both purpose and profitability. This is also reflected in our Data Strategy mission “A sustainable step ahead through data”!

The Data Science Lead acts as the lead to the Data Science Authority; a collaboration of the data scientists and machine learning engineers of the three different business domains. The goal of the Data Science Authority is to facilitate a joint development of ways of working and best practices.

Your role

As the Lead Data Scientist you will help bring the quality of our data science solutions to the next level. You will lead the Data Science authority, part of the Data & Analytics team, which is responsible for the development of data driven solutions for marketing & sales, customer journeys, service and digitization, proposition development and sustainability advice to our customers.

As the lead data scientist, you will be responsible for:

• Steering 6 data scientists and 3 machine learning engineers across various business domains, ensuring that they deliver high-quality data-driven solutions 
• Overseeing and facilitating the professional development of team members 
• Developing and implementing data science strategies that align with business objectives 
• Translating the vision of the Data Science Authority into a roadmap of initiatives that will increase the team's data science maturity level and overseeing its implementation 
• Encouraging knowledge sharing among the team members and promoting a collaborative work environment 
• Being the primary point of contact for both the team and other stakeholders within the company for overarching topics
• Acting as the liaison for external parties
• Staying up to date with the latest trends and technologies in data science and machine learning and actively introducing them to the team

Location  
Amsterdam

Qualifications

Your profile

You are an individual with strong leadership and communication skills, as you will be the first point of contact for internal stakeholders. With your curiosity and willingness to take on challenges you are able to take on complex (technical) problems. Being as assertive as you are you challenge others to be the best they can be and strive for excellence.

Furthermore you meet the following qualifications:

• An academic degree with a strong quantitative component (Computer Science, Artificial Intelligence, Econometrics, or similar)
• At least 4+ years of professional experience in a data scientist role
• Previous experience in leading projects or a team
• Excellent verbal and written communication skills; in Dutch and English
• Proficiency in Python and strong technical skills
• Extensive knowledge of machine learning techniques and know how to apply them
• Interest and/or experience in deploying models with MLOps and software engineering best practices

Additional Information

Our offer 
Good remuneration, a challenging and international work environment, and the possibility to work with some of the best in the field. You will be working in interdisciplinary teams and you can always count on support from committed colleagues. We offer attractive