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Job Location drjobs

Anderlecht - Belgium

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

As a Data Scientist you will be the owner of data assets related to short-term electricity markets for which Flexcity aims to deliver a best-in-class service. You will carry out quantitative analyses and design optimization solutions using Machine Learning or Linear Programming for our Smart Grid services. You will also collaborate with fellow Data Engineers and Developers to deploy these solutions into production.

By interacting with other Flexcity teams you will gain hands-on experience in developing intelligent systems for both electricity markets (day-ahead intraday aFRR ) and flexible assets (BESS CHPs solar parks ). You will work with cutting-edge and innovative technologies used by Flexcity (Internet of Things cloud-native development ) in a fast-moving industry that actively contributes to the energy transition.

As Data Scientist your time will be divided into:

 

  • Research and Development of ML and Optimization Algorithms - 60% 

    • Contribute to all stages of the R&D lifecycle including design development testing deployment and monitoring of optimization algorithms

  • Delivering Quantitative Insights to Portfolio Teams - 30% 

    • Use data-driven tools and skills to support colleague portfolio managers in their day-to-day work (market bidding account management )

  • Data Architecture Improvement - 10% 

    • Actively participate in initiatives to enhance the data stack DevOps/MLOps practices and coding standards to foster a culture of continuous improvement


Qualifications :

 

Experience

  • Masters degree or PhD in Computer Science Mathematical Electricity or Energy Engineering Mathematics or Physics with an excellent academic record

  • At least 4 years of professional experience working in a quantitative-savvy environment solving complex optimization problems using data

Hard Skills

  • Fluent in English

  • Mathematical modeling: Proficient in translating complex real-world systems into rigorous mathematical models

  • Python development: Proficient in writing Python scripts and building small Python prototypes (with libraries such as pandas polars requests plotly )

  • SQL: Experience in understanding and writing complex SQL queries

  • Optimization: Experience with either Linear Optimization or Machine Learning methods

  • Nice to Have - experience with Linux and Git as DevOps tools

  • Nice to Have - experience with cloud platforms (Google Cloud AWS Azure ...)

 

Soft Skills

  • Strong analytical thinking: Independently deconstruct complex quantitative problems and apply a systematic methodical approach to implement effective solutions

  • Effective communication skills: Effectively convey complex technical concepts to both technical and non-technical stakeholders fostering collaboration and understanding across teams

  • Project management expertise: Organise and prioritise tasks coordinate cross-functional efforts and ensure timely delivery of solutions that align with project goals

  • A positive pragmatic and professional attitude

  • Comfortable in a fast changing work environment you can easily adapt

  • Nice to Have: an interest for the energy sector


Additional Information :

Why Join Flexcity

Impact             Be part of our key Datal team with a direct impact in the decarbonisation of our industry

Purpose          Contribute concretely to a greener future both in France and globally

Scale-up          Work in an agile environment getting structured and more efficient but still with a large                                    freedom and strategic decision making available at all levels of the company

Group             Benefit from a close relationship with the Veolia group a global leader in the ecological and                              energy transformation

Innovation      Engage with cutting-edge energy technology and markets

Supported      Get backing from dedicated central support teams in R&D Product and Portfolio in order to                               get you the best tools training and sounding board to work in the best environment

Community      Engage with a team spread across multiple countries learning and innovating together.                                    Connect with diverse teams across Europe through regular team-building events both within                            Flexcity and Veolia

Training            Develop your hard and soft skills with dedicated training made available as well as strong                                learning curve within your position 

Hybrid              Experience international collaboration and flexible work schedules including 2 work-from-                                  home days

 

 

 

About Flexcity

Flexcity is a uniquely positioned energy technology company in the Internet of Energy sector. It is a leading demand response aggregator in Europe rapidly growing and expanding to new regions. Flexcitys core activity consists of supporting the power grid balance through the operation of its large portfolio of flexible fully-automated assets. 

 

The Flexcity portfolio consists of a wide range of technologies such as batteries eBoilers CHPs generators wind farms solar parks and large industrial processes. 

 

As a provider of smart energy management services based on innovative smart grid technology Flexcity applications focus on demand-side optimization and management (Demand Response Load Shifting etc.). Flexcity supports many industrial companies in reducing their overall electricity costs by providing demand-side management services based on innovative optimization and modelling software applications.

 

Flexcity is truly at the cutting edge of energy innovation. As a member of the team you will contribute to a sustainable low-carbon energy sector.

 

As an inclusive company Veolia is committed to diversity and gives equal consideration to all applications without discrimination.


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

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