Transversal Data Scientist

il y a 2 semaines


Bruxelles, Région de Bruxelles, Belgique ENGIE Temps plein

About US (GEMS):

ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE's assets and contributing to value creation.

ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group's large and diverse asset portfolio over 20+ years.

3,300 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.

Our +120,00 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.

Our 4 expertises:


• Asset management


• Energy transition services


• Energy supply & global commodities


• Risk management & market access

At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

Context:

FINOPS Transverse team in charge of managing transversal projects, lead & accelerate harmonization, improvement, automation and digitalization of FINOPS activities & processes.

Role:

Candidate will work as part of the FINOPS Transverse team. Candidate will be responsible for driving the data transformation within the business in close coordination with the business lead(s) and the transversal data functions & data council. Communicates data strategy definition and execution to business and IT stakeholders.

The Data Scientist is a key & strategic matrixed between EC FinOps & 0perational Excellence.

She/He is a senior individual who bears responsibility for FinOps overall data transformation including data governance, quality management, and effective usage of data to deliver business value.

As Data Scientist, you will be responsible for:

Designing and implementing new business use cases, data strategies, governance, projects and tools Acting as Data science expert for GEMS (tools, methodology) Ensuring Market intelligence on Data Science topics Liaising with other Engie Data Science communities and projects Lead data related projects Manage / document the collection, storage, management, quality and protection of data Establish and develop a Data-driven culture

As a Data Scientist will have to :

Be a senior and a referent on all data related topics within FinOps Work with FinOps managers to share a common understanding of FinOps challenges regarding data projects Work with FinOps members to provide expertise skills, good practices and support Understand FinOps needs and seek to deliver them the best result Ensure business project coordination in close partnership with FinOps & other stakeholders Propose out of the box ideas and challenge status quo when necessary Develop strong partnership with all front to FINOPS teams inclusive of IT Facilitate & support of new activities Contribute to continuous improvement of procedures & processes

Hard skills:

Must have:

Strong academic background, ideally from Engineering, Mathematics, Physics or Computing Strong background in Data related technologies, methodologies & strategies Experience in a commodity trading environment is a plus Power and gas markets fundamentals knowledge is a plus In-depth knowledge of front to accounting FinOps processes Data tools : PowerBI, DataIQ, CDH... Able to develop in Python or/and VBA Good knowledge of GEMS & FinOps IS landscape Understand ERPs (SAP) systems, capabilities & limitations Office 365 Agile methodologies & culture

Soft skills:

Must have:

Strong communication & interpersonal skills Leadership / Clear vision and objectives Ability to execute vision Self-motivated and result driven with a high level of initiative and creative problem solving Team player Client/user centric Strong Analytical skills Ability to work in a multi-cultural/multi-lingual environment Ability to work under pressure to meet deadlines

Education and professional background:

Master Degree More than 10 years of experience in finance/BO business, data, project management and IT Appetite for data & project management

Languages:

Fluent in English and French - Dutch is a plus

Travels:

Working place is Paris or Brussels You will need to travel regularly in Brussels (in you are based in Paris) or in Paris (if you are based in Brussels)

If you meet these requirements, then you are the talent we are looking for. Do not waste time

Apply by attaching your updated CV, regardless your gender.

ENGIE Global Energy Management & Sales is committed to create a gender-neutral environment that unlocks the potential of everyone and provide equal employment opportunities for all individuals.

All our positions are open to people with disabilities, please let your recruiter know if you need reasonable accommodations to be able to participate in the recruitment process, they will be happy to assist you.

About ENGIE:

Our group is a global reference in low-carbon energy and services. Our purpose ("raison d'être") is to act to accelerate the transition towards a carbon-neutral world, through reduced energy consumption and more environmentally-friendly solutions, reconciling economic performance with a positive impact on people and the planet. We rely on our key businesses (gas, renewable energy, services) to offer competitive solutions to our customers. With our 170,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progres


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