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N-SIDE

Junior Data Scientist

N-SIDE
Belgium · Full-time · Entry

N-SIDE Careers Junior Data Scientist

We are looking for a Junior Data Scientist to join our Energy department based in Louvain-la-Neuve.

Who We Are

N-SIDE is a world leader in increasing the efficiency of life sciences and energy industries by providing software and services that optimize the use of natural resources, facilitating the transition to a more sustainable world.

To achieve this, N-SIDE leverages its deep industry knowledge, technical expertise, and understanding of applied mathematics to help global pharmaceutical and energy companies anticipate, adapt, and optimize their decisions.

In the energy industry, N-SIDE helps electricity market and grid operators in enabling a safer and faster transition toward renewable sources.

As a Junior Data Scientist, you will be part of our Energy team. You will deliver machine learning-based software solutions and consultancy services. You will contribute to innovative and challenging advanced analytics projects for various European Transmission System operators, power exchanges, and possibly market participants, helping the different actors better address the complex challenges of the energy transition.

What You’ll Do

  • You will provide hands-on contributions to analytical projects for various European Transmission System Operators, power exchanges, and possibly market participants, as part of our internal projects teams of power market experts and energy data scientists
  • You will develop AI-based Python prototypes, maintain and improve production code, perform data engineering tasks (e.g. extract, transform, load), run simulations, analyze results, and extract key findings. While most projects will have a strong data science focus, you may also be exposed to other analytical techniques (e.g. optimization, power flow simulations) depending on business needs and priorities.
  • You will communicate insights effectively by preparing reports, slides, and presentations for our customers that translate complex analytical findings into actionable business recommendations.
  • You will engage with customers to understand their needs, gather feedback, and propose improvements and ideas while explaining advanced analytics concepts in a clear, and business-oriented manner.
  • You will contribute to the maintenance, support, and continuous improvement of our in-house forecasting solution based on Machine Learning
  • You will support clients in their use of our Energy applications. This will constitute a minor portion of your responsibilities, yet may occasionally (one weekend every five weeks) require completion outside of regular business hours (with additional compensation and/or benefits provided).

About You

  • You hold a Master’s degree in Applied Mathematics, Computer Science, Energy Economics, or a related field, with a strong focus on Data Science.
  • You are a young graduate or have a maximum of 1-2 years years of experience
  • You have a solid foundation in machine learning and artificial intelligence, with a strong analytical mindset and a passion for the field
  • You are proficient in Python and can efficiently develop prototypes to perform data-driven analyses.
  • You can effectively communicate technical concepts to non-technical stakeholders, demonstrating a customer-focused approach and a genuine enthusiasm for assisting users.
  • You possess strong written and verbal communication skills and can clearly articulate insights and findings.
  • You are customer-oriented, results-driven, and have a problem-solving mindset
  • You are curious, proactive, and a strong team player, eager to collaborate and continuously learn.
  • You are interested in expanding your knowledge of the energy sector, particularly in electricity markets and power system operations. While prior experience in the field is a plus, it is not required.
  • You have fully professional proficiency in English

Travel: 0%

Start date: ASAP

Our offer

At N-SIDE, we develop leaders. What’s important for us is that you grow and learn, because we care about you, which is N-SIDE’s hallmark.You will be part of a fun and flexible work environment in which creativity, freedom and initiative are rewarded.

You will join a diverse team of over 200 passionate engineers, computer scientists, and business experts from 30+ different nationalities, with 25% holding PhDs. Together, we are committed to making a meaningful impact toward a more sustainable future.

N-SIDE offers a great compensation package, which includes a company car and full range of benefits which can be personalised thanks to our Flex Income Plan.

At N-SIDE we value diversity. All candidates will be treated equally without regard to race, color, religion, sex, age, sexual orientation, citizenship, disability, gender identity, marital or family status, veteran status or any other legally protected basis, in accordance with applicable law. N-SIDE will not tolerate discrimination or harassment based on any of these characteristics.

We are headquartered in Belgium with offices in the USA and Japan. The company is certified B Corporation, Best Managed Company by Deloitte Belgium, ISO 14001 and ISO 27001.

Motivated to join our team and bring N-SIDE to the next level?

We are looking forward to receiving your application!

We are committed to respecting your privacy and protecting your personal data, including any information which allows us to identify you as an individual person. N-SIDE uses the applicant’s personal data in a fair and lawful manner. N-SIDE collects and processes personal data in accordance with the privacy statement available in the privacy policy. Personal information (applicant data) submitted by an applicant will only be used by N-SIDE to ensure an effective recruitment process and will be used for recruitment purposes only.

Key Skills

Ranked by relevance

machine learning prototypes python artificial intelligence technical expertise ai
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Posted
Feb 18, 2025
Type
Full-time
Level
Entry
Location
Brussels Metropolitan Area
Company
N-SIDE

Industries

Software Development

Categories

Engineering Information Technology

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