Senior Data Scientist at Vattenfall AS Esbjerg

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

7000.0

Posted On

27 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Probability Theory, Statistics, Data Sets, Distributed Compute, Query Optimization, DevOps Practices, CICD, Code Reviews, Git, Agile Environment, Data Science Solutions, Model Development, Stakeholder Collaboration, Quantitative Analysis

Industry

Utilities

Description

Company Description Vattenfall is one of the largest energy companies in Europe. We make electricity and heat and supply energy to millions of customers. We do this in Sweden, Germany, the United Kingdom, France, Denmark, Finland and the Netherlands. With around 21,000 employees, we are enabling a future in which we are less dependent on the use of fossil fuels for our energy. We are at the forefront of the transition to a sustainable energy system. To achieve this ambitious goal, we are looking for talented individuals who, in addition to their passion for their own role, also have a strong team spirit and want to contribute to supporting a meaningful company mission. Job Description Do you want to contribute to the energy transition and a sustainable world? And does developing data driven Business solutions give you energy? Then join our Data & Analytics team as a Data Scientist! Your position As a Data Scientist you will develop data science solutions with 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 & Analytics team 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. Solving complex business challenges using data and machine learning will be the core of your work. From the first idea, thinking of possible solutions and methods. Through the actual model development using a diverse amount of data sources on our Vattenfall Analytics Platform. To implementing a data science solution so it can be used in either our channels or internal systems. Throughout the data science workflow you remain in close collaboration with our internal stakeholders to make sure your solutions match their needs. So as a data scientist you will… Develop data science solutions from idea to implementation Contribute to complex business challenges in one of the 3 business domains Develop yourself and your co Data Scientists through the Data Science Authority Where will you work? The Vattenfall BTC Data & Analytics department develops data driven solutions for our customers and customer processes. We do this by creating and implementing machine learning models, strategic analysis, reporting and a self-service data model. The department is spread out in 3 business domain teams; where data experts and business experts collaborate closely to realize valuable data 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. We value joint development of ways of working and best practices. This is facilitated through our Data Science Community of Practice Location Amsterdam Qualifications Your profile Being a solution-orientated team player with a critical, pro-active mindset is key for the role of a Data Scientist in our team. As you collaborate closely with colleagues from other disciplines, you are able to explain in a simple way how your models work and how they contribute to solving a business problem. Also, you dare to challenge current solutions and come up with improvements. We would love to talk with you, if you recognize yourself in the following: You have an academic degree with a strong quantitative component (Mathematics, Physics, Econometrics, or similar); At least 6 years of professional experience in a data scientist role (or similar); You have excellent verbal and written communication skills; in English; Working experience in an agile environment. Your technical skills include: Writing production worthy Python code, with knowledge of different programming paradigms; Extensive knowledge of a variety of machine learning techniques and their application in the real world; A solid foundation in probability theory and statistics; Working with large and complex data sets, with an understanding of distributed compute and query optimization; Experience with DevOps practices (CICD, code reviews, git, etc.). Additional Information Our offer The height of your salary is based on your education and relevant work experience. The salary for this position ranges from €5700 to €7000 gross per month, excluding holiday allowance, based on 38 hours per week. In addition to your salary, we offer a comprehensive secondary benefits package, the most important components of which are: Based on your annual salary: 8% holiday allowance, 4,5% end of year bonus and a profit sharing of up to 3.5% based on the results of Vattenfall Netherlands (RDR). NS Business card for commuting or a travel allowance of €0.23 per km up to a maximum of 50 km one way and a home office contribution of €3,05 per day 20 statutory vacation days, 5 additional days through My Budget My Choice, 2 extra non-statutory days, 3.5 vitality days, andif you work a 40-hour week on a 38-hour contract 13 extra ADV days. My Budget My Choice budget, which allows you to purchase or sell extra vacation days, buy a e-bicycle, or simply receive it as addition pay. Pensionplan at ABP: 70% by employer and 30% by you Collective health insurance by Zilveren Kruis Achmea. 4 hours of leave to perform volunteer work through the Vattenfall Foundation Education budget, because we believe it is important that you can continue to develop yourself. At Vattenfall, there is a close team culture while also providing ample room for individual initiative. At our company, hybrid working is the norm, meaning you will work at the office at least 50% of the time. Most of your colleagues prefer to work the remaining 50% of their time from home, but the choice is entirely yours. At Vattenfall, we highly value a good work-life balance and continuously seek ways in which we can contribute to this as an employer. More Information We welcome your application in English no later than April 10h. We kindly request that you submit your application exclusively via our website, as we cannot guarantee the processing of applications submitted through other channels. Please note that we have already started conducting first- and second‑round interviews. Therefore, we encourage you not to wait too long to apply — if we receive a sufficient number of strong applications, we may close the vacancy earlier than expected. For more information about the recruitment process you are welcome to contact our recruiter Alisa Roo, via mail: [email protected] At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability or sexual orientation. en int The security of Vattenfall and its employees is essential. For that reason, a pre-employment screening will be part of your recruitment process. The screening is based on the role you will fulfill within Vattenfall. The screening will be performed by a third party, DISA Global Solutions AB. We look forward to receiving your application! Workplace type (LinkedIn): Hybrid Type of Employment (Career Site): Full-time only

Responsibilities

The Data Scientist will develop data science solutions from the initial idea through model development on the Vattenfall Analytics Platform to final implementation, focusing on business challenges in marketing & sales, customer journeys, service, digitization, proposition development, and sustainability advice.