(Junior) Data Scientist/Analyst

Your Mission

We live in a data-driven world where data can be leveraged for reporting & analysis, but also for data-driven products and applications. Companies are collecting and storing more and more data. Yet, translating this raw data into valuable insights is often missing. Within the Data Science & Analysis team, our goal is to accelerate innovation with the data of our customers and help them valorize their data. To support this growing team, we are looking for extra enthusiastic and entrepreneurial people.

The Data Science & Analysis team at element61 works with clients and helps them understand the impact of (big) data, digital & analytics on their business model, define a compelling strategy, and get the job done. You will be part of a mixed team of Data & Analytics Strategists, Data Scientists, and Analysts and will help our clients from strategy, over providing insights to supporting multiple Analytics tracks (including machine learning and genAI projects).

Key responsibilities

As a Data Scientist/Analyst, you aim to work hands-on to deliver Data-Driven Insights to your customers. Every mission we embark on will be a collaboration with the customer, where we translate their ambitions into concrete deliverables. This leads to a variety of engagements across clients, business functions & industries: e.g., one month you might be working for the Finance team in a manufacturing context and, another month, on a churn analysis for Marketing for a utility customer.

• Guide customers towards supporting their business use case or idea with Data-Driven Insights & Analytics
• Use statistical analysis to interpret data sets, discover trends and patterns that could be valuable for customers
• Apply Machine Learning techniques to translate data into predictive insights.
• Develop and maintain generative AI applications (beyond chatbots), including prompting, indexing, LLM choice, and front-end integration
• Design and develop Reports and Dashboards aimed to be used by business teams
• Be a thought partner for the client Data Analysts teams in tackling their specific challenges, limitations & ambitions with Data & Analytics
• Inspire customers with insights, opportunities on new data-driven use cases
• Embrace project management aimed at getting the job done. This will include working with client Data Scientists, Data Engineers, and Business Stakeholders
• Be an on- and offline ambassador for the element61 team

Working at element61 means you will work with businesses and executives in Belgium, helping them to understand the impact of (big) data and analytics on their business processes and activities.

As time passes, we’ll encourage you to build functional expertise within a business or technical domain within your interest, such as ad-tech, digital marketing, finance or supply chain.

Qualifications And Requirements

• University degree in Computer Science or (Business) Engineering and/or a specialized master's in Machine Learning or AI, which reflects in

• Knowledge about machine learning approaches and the variety of models which exist & their application area (e.g., SVM, RNN, Deep learning)

• Knowledge about Data Science basics, including sampling and the various evaluation metrics

• Knowledge about Generative AI techniques

• Minimal experience in SQL, Python or R is required

• No working experience required; any experience can be a plus

• Knowledge of analytics tools (Power BI, Databricks, Azure) is considered a plus

• First experience with genAI technology is considered a plus

• Passionate about data, analytics & machine learning technology and eager to learn

• Enthusiastic about being part of a growing Analytics team and industry

• Fluency in English, Dutch or French is a plus

Why Us?

Join our fast-growing Analytics & AI team as a Data Engineer/Scientist to join us on impactful data projects with top experts delivering value, structure, and smiles across clients & teams!

• University degree in Computer Science or (Business) Engineering and/or a specialized master's in Machine Learning or AI, which reflects in

• Knowledge about machine learning approaches and the variety of models which exist & their application area (e.g., SVM, RNN, Deep learning)

• Knowledge about Data Science basics, including sampling and the various evaluation metrics

• Knowledge about Generative AI techniques

• Minimal experience in SQL, Python or R is required

• No working experience required; any experience can be a plus

• Knowledge of analytics tools (Power BI, Databricks, Azure) is considered a plus

• First experience with genAI technology is considered a plus

• Passionate about data, analytics & machine learning technology and eager to learn

• Enthusiastic about being part of a growing Analytics team and industry

• Fluency in English, Dutch or French is a plus

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