Full-time

Data scientist

Requisition ID : Location :

BRUXELLES, BE,

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, 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 +, 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 expertise :

  • 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.

Organization

Position open within the Quantitative Research and Modeling Expertise Center (EC QRM) and BP Short term Power as a Service.

EC QRM provides advanced quantitative expertise to all Business Platforms (BP) of GEMS.

YOUR contribution

Context

The role of the Data Scientist is to provide analysis, models and tools to the optimization and trading desks, using data science tools and state-of-the art quantitative models.

The Team Manager of Power & Emissions QRM's team will be your direct manager.

Role

The data scientist will be focused on the activities related to the CWE power markets. He will leverage large amount of data using machine learning and state-of-the art quantitative models to deliver analysis and tools that have a concrete impact on the business, including :

  • Prediction of relevant power market signals
  • Asset optimization
  • Trading algorithm

Key missions

The daily responsibilities include :

  • Contribute to the digitalization and data-driven trading decision of GEMS
  • Develop, improve and support our models and tools
  • Leverage complex data to provide market insight
  • Be in direct contact with traders and optimizers desks to understand their business needs and propose solutions
  • Be in direct contact with Quants and Market Analysts, to exchange about models, new ideas, in order to leverage on the knowledge from peers
  • Be in direct contact with the IS team to be aligned on coding best practices and IS architectures

Travels

Punctually for conferences

About YOU

Hard skills

  • Strong mathematical skills, expert in statistics, machine learning and optimization,
  • In-depth understanding of the energy business and power markets,
  • Demonstrated coding skills (Python) in order to develop autonomously prototypes & models,
  • Ability to explain and convey messages about complex issues,
  • Programming languages GIT, Microsoft suite,
  • Experience with data science techniques

Soft skills

  • Analyzing, Practical thinking, Entrepreneurship,
  • Planning, developing others,
  • Conceptual thinking, working together.

Education and professional background

  • University degree in Statistics, Mathematics, Physics, Engineering, Computer Sciences,
  • Experience in short term power markets is a plus

Languages

Fluent in English

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 , employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress.

Apply Now

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Data scientist

Requisition ID : Location :

BRUXELLES, BE,

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, 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 +, 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 expertise :

  • 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.

Organization

Position open within the Quantitative Research and Modeling Expertise Center (EC QRM) and BP Short term Power as a Service.

EC QRM provides advanced quantitative expertise to all Business Platforms (BP) of GEMS.

YOUR contribution

Context

The role of the Data Scientist is to provide analysis, models and tools to the optimization and trading desks, using data science tools and state-of-the art quantitative models.

The Team Manager of Power & Emissions QRM's team will be your direct manager.

Role

The data scientist will be focused on the activities related to the CWE power markets. He will leverage large amount of data using machine learning and state-of-the art quantitative models to deliver analysis and tools that have a concrete impact on the business, including :

  • Prediction of relevant power market signals
  • Asset optimization
  • Trading algorithm

Key missions

The daily responsibilities include :

  • Contribute to the digitalization and data-driven trading decision of GEMS
  • Develop, improve and support our models and tools
  • Leverage complex data to provide market insight
  • Be in direct contact with traders and optimizers desks to understand their business needs and propose solutions
  • Be in direct contact with Quants and Market Analysts, to exchange about models, new ideas, in order to leverage on the knowledge from peers
  • Be in direct contact with the IS team to be aligned on coding best practices and IS architectures

Travels

Punctually for conferences

About YOU

Hard skills

  • Strong mathematical skills, expert in statistics, machine learning and optimization,
  • In-depth understanding of the energy business and power markets,
  • Demonstrated coding skills (Python) in order to develop autonomously prototypes & models,
  • Ability to explain and convey messages about complex issues,
  • Programming languages GIT, Microsoft suite,
  • Experience with data science techniques

Soft skills

  • Analyzing, Practical thinking, Entrepreneurship,
  • Planning, developing others,
  • Conceptual thinking, working together.

Education and professional background

  • University degree in Statistics, Mathematics, Physics, Engineering, Computer Sciences,
  • Experience in short term power markets is a plus

Languages

Fluent in English

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 , employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress.

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Where you fit in

We play an important role by developing, deploying, and operating Information and Digital Technologies which enable Shell to produce more and cleaner energy for the world.

Shell’s Information and Digital Technologies organisation applies technical, commercial, and emerging digital technologies skills to help Shell industrial assets competitively optimise energy production while reducing emissions intensity.

We partner with our business to replicate technologies across our business portfolios.

What’s the role?

As a full stack data scientist, you will get to apply your knowledge in statistics, time series analysis, and dynamical systems, work with the latest machine learning models, and build predictive models for energy consumption, energy generation, and energy price, and make an impact by helping Energy Marketing business in Shell Energy to make better, safer, more sustainable decisions which yields to cleaner and more sustainable world.

You will work with a team of data engineers and scientists who use data and apply cutting statistical machine learning models to build forecasting models for different energy markets.

The entire Data team works collaboratively and is a strong partner for teams across the company. You will get to meet and learn from diverse and talented colleagues.

Accountabilities

  • Analyze energy time series and summarize the statistical properties of energy signals
  • Build predictive models and forecast signals for day-ahead and real-time markets
  • Evaluate the performance and compare the results with existing models
  • Deploy the best model and document the result of this research

What we need from you?

  • Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
  • Minimum of three (3) years’ experience of deploying machine learning models and frameworks in production
  • Bachelor’s Degree is preferred
  • Proficiency developing end-to-end machine learning training and inference pipelines at scale to be able to forecast hundreds of thousands of meters daily over a variable day horizon under both recursive and direct modelling approaches
  • Proficiency with Python or R, SQL and familiarity with working in big data environments
  • Minimum of five (5) years’ experience with :
  • Experiences in both Supervised and Unsupervised machine learning models (Regressions, Gradient Boosted methods, SVMs, Random Forests, Clustering)
  • Hyperparameter tuning of machine learning models
  • Familiar with python packages such as Pandas, SkLearn, Numpy etc
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  • Deep learning (CNN, RNN, LSTM) and framework library (e.g., Keras, TensorFlow, PyTorch) and Graph Neural Networks
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  • Minimum of three (3) years’ experience with Cloud computing platforms such as AWS, Azure (preferably AWS)
  • Deployment of AWS Sagemaker models and pipelines and serverless architecture
  • Containerization and orchestration technologies such as Docker and Kubernetes.
  • Standard concepts and technologies used in CI / CD build and deployment pipelines.
  • Experience in distributed and parallel computing frameworks such as Spark / Pyspark / Multiprocessing / Multithreading
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COMPANY DESCRIPTION

Shell is a global group of energy and petrochemicals companies with over 90,000 employees in more than 70 countries and territories.

In the US, we have operated for over a century and are a major oil and gas producer onshore and in the Gulf of Mexico, a recognized innovator in exploration and production technology, and a leading manufacturer and marketer of fuels, natural gas and petrochemicals.

We deliver energy responsibly; operate safely with respect to our neighbours and work to minimize our environmental impact.

We are in search of remarkable people who will thrive in a diverse and inclusive work environment to deliver exciting projects locally and globally.

People who are passionate about exploring new frontiers. Innovators and pioneers. People with the drive to help shape our future.

Because remarkable people achieve remarkable things.

An innovative place to work

There’s never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today : bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change.

Join us and you’ll add your talent and imagination to a business with the power to shape the future whether by investing in renewables, exploring new ways to store energy or developing technology that helps the world to use energy more efficiently.

An inclusive place to work

To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we’re nurturing an inclusive environment one where you can express your ideas, extend your skills and reach your potentials.

We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles.

Feel free to let us know about your circumstances when you apply, and we’ll take it from there

  • We’re closing the gender gap whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
  • We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.
  • We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application

A rewarding place to work

Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.

We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.

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The need to anticipate and preempt potential markets and products has given rise to a new team : The Enhanced Product Innovation Collaboration or EPIC .

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Training completion rate : The percentage of team members who complete the training on how to use the software.Solution adoption rate : The percentage of team members who are actively using the analytics solutions.

Data accuracy : The percentage of data that is accurate and free of errors.Customer satisfaction : The level of satisfaction of the customers with the analytics solutions and the level of responsiveness.

Project completion rate : The percentage of projects that are completed on time and within budget.Continuous improvement : The level of effort and success in continuously improving the analytics solutions and Titan system to meet the changing needs of the business.

Data visualization : The percentage of important data that is represented visually in the ERM system, such as through charts and graphs.

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Are you Data Scientist who is an excellent communicator and a collaborative team player? Then your next career move may well be your best.

The question is, are you ready to play your part in the journey to net-zero?

At Drax, we are working towards a zero-carbon, sustainable future and you can help make this future a reality.

Data Scientist (Remote)

Purpose :

  • To further the knowledge base of Drax Group with exploratory and iterative data science programmes
  • To solve extraordinarily complex business problems by providing solutions, using advanced data analysis techniques
  • To explore and extract value from internal and external data sets in support of prioritised high-value opportunities for Drax
  • To identify and refine further high value ideas and hypotheses for next iterations of learning, to continuously strengthen data science in Drax

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Explore and extract maximum value out of Drax data and its wider internal and external systems, including both existing and potential sources of Drax.

This will span systems relating to customer and financial management, supply chain and production data.

  • Contribute to knowledge base of Drax Data and Data Science, Hub-based Drax Target Architecture and other relevant knowledge bases
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  • Comply with up to date data security, privacy (GDPR) and information data governance rules
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  • Time-box exploration of topics to test and learn quickly and move on to next hypothesis if progress is slowed, keep to deadlines and flag challenges early
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  • Engage with stakeholders to ensure their buy-in of changes that are being proposed and they understand how to use and monitor new tools, reports and processes.
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  • Maintaining the relevant Data Science sections on SharePoint

Knowledge, Skills and Experience required :

  • Educated to degree in a numerate discipline or equivalent
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  • Strong oral and written communication skills in MS Office
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What’s it like to work at Drax?

If you like a fast-paced, changing environment, come be part of a great team!

At Drax, we’re at our best when we help each other achieve the things that are important to each of us. We are open to discussing hybrid working so you can be where you need to be.

We’re passionate about our role in providing a supply of stable, renewable energy and if you want to play your part, then why not apply today?

Curious to learn more about us? We recommend you connect with us on LinkedIn for more insights.

How You Need to Act :

  • We care about what matters we help each other achieve the things that are important to each of us
  • We’re a can-do kind of place we’re empowered and encouraged to make informed decisions, take action and do the right thing
  • We see things differently we share inspiration and insight right across Drax, and search for new ideas and ways of working
  • We listen carefully we make sure that people feel genuinely heard, acknowledged and that what they say matters
  • We do what we say we’ll do we’re proactive, committed and reliable and trust others to be the same
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