Are you excited by solving real business problems with data, analytics, and AI?

Do you enjoy combining structured analysis, client interaction, and modern tools to create measurable impact?

Are you curious about new ways of working, including AI-assisted and agentic workflows, while staying pragmatic and quality-driven?

At Agilytic, we help clients turn business objectives into measurable results through smarter use of data. We are looking for a colleague who is comfortable moving between business understanding, quantitative analysis, and hands-on delivery.

What is your mission?

Help innovative companies turn their objectives into concrete results through smarter use of data, analytics, automation, and AI.

You will work at the intersection of business and technology to help clients make better decisions, improve performance, and implement solutions that create tangible value.

What will you do day to day?

As a Data Scientist (Consulting & AI Delivery), you will contribute to the end-to-end delivery of our projects, from problem framing to implementation and client adoption.

You will work closely with client stakeholders and internal team members to:

Translate business questions into analytical approaches and decision-support solutions
Structure and prioritize requirements with clients
Collect, clean, transform, and validate data from multiple sources
Perform descriptive, diagnostic, and predictive analyses where relevant
Build dashboards, models, reports, and decision-support tools
Prototype and automate parts of the analysis or delivery workflow
Communicate findings, trade-offs, and recommendations clearly to technical and non-technical audiences
Support implementation so that analysis leads to concrete action
Use modern AI-assisted tools responsibly to accelerate research, coding, testing, documentation, and delivery

Our assignments typically include:

Data audit
Data preparation
Descriptive and diagnostic analysis
Modeling where relevant
Dashboarding and reporting
Presenting results and recommendations
Supporting implementation and business adoption

Senior Data Scientists also supervise and coach junior team members in both client delivery and internal initiatives. This guidance helps them quickly develop the business, consulting, and technical skills needed to manage projects independently.

How we work

We are pragmatic and outcome-driven. We use the right level of sophistication for the problem at hand.

That means we do not apply advanced techniques for their own sake. Sometimes the right answer is a predictive model, an automation, or a more advanced analytical workflow. Sometimes it is a clear dashboard, a robust dataset, or a simple analysis that helps a client act quickly and confidently.

Increasingly, this also includes AI-assisted and agentic ways of working. We welcome candidates who are already comfortable using tools such as Claude Code, Codex, GitHub Copilot, Cursor, or similar tools to accelerate research, coding, testing, documentation, and delivery.

What matters most is not tool usage alone, but professional judgment: being able to frame the problem correctly, validate outputs carefully, communicate clearly, and maintain quality, security, and maintainability.

Do you recognize yourself?

Your background

You hold a master’s degree in a quantitative, scientific, engineering, or business-related field such as Engineering, Mathematics, Statistics, Economics, Physics, Biology, Computer Science, or similar
You are fluent in English and in either Dutch or French

Your core skills

You have a strong foundation in analytics, statistics, and structured problem solving
You have hands-on experience with Python and SQL for data preparation, analysis, and modeling
You are comfortable working with real-world datasets and transforming ambiguous business questions into structured analytical work
You can communicate insights clearly and adapt your message to both technical and non-technical audiences
You are comfortable working directly with clients and presenting recommendations

Nice to have

Experience with ETL / ELT workflows, cloud data environments, APIs, or analytics engineering
Experience with BI and reporting tools
Familiarity with machine learning, forecasting, segmentation, optimization, or experimentation
Experience with version control, testing, and collaborative development practices
Familiarity with AI-assisted or agentic coding workflows and tools such as Claude Code, Codex, GitHub Copilot, Cursor, or similar

We will be especially interested in candidates who can show how they use modern tools to work faster and better while maintaining strong standards of rigor, validation, and documentation.

Your personal style

You have strong analytical skills and can collect, structure, analyze, and interpret data in service of a clear business objective
You have a problem-solving mindset and take a pragmatic approach to data science
You look for the simplest solution that creates real value
You are proactive, autonomous, and comfortable taking initiative
You care about work quality and bring a professional attitude to client service
You are curious about new techniques and tools and keep learning
You combine business understanding with enough technical depth to deliver credible, useful work

Must have

You are eligible to work in Belgium and the European Union Please note that we do not offer relocation support

You will be a great fit if

You want to help shape a growing organization and grow with it
You enjoy combining business understanding with hands-on analytical work
You can move from ambiguity to structured action
You are comfortable interacting with stakeholders at all levels, from operational teams to executive leadership
You are curious about better ways of working, including AI-assisted delivery
You care about clarity, quality, and measurable client impact

Some signs this may not be the right fit

You do not enjoy interacting with clients or presenting your work from time to time All our Data Scientists are client-facing
You are not comfortable working at the client’s premises on average 2 to 3 days a week and from our offices in Brussels on average 1 to 2 days a week
You are looking for a purely technical role with little business interaction
You are not comfortable working in a pragmatic consulting environment where the best solution is not always the most technically sophisticated one
You do not have an entrepreneurial mindset and are not motivated to go the extra mile to deliver quality work or contribute to the growth of the organization

Working at Agilytic

We aim to create a work environment that allows you to do exceptional work, grow your skills, and enjoy the journey while doing it.

You may work on assignments anywhere in Belgium and neighboring countries such as Luxembourg, France, the Netherlands, and the UK. You can expect to interact with both IT/data specialists and business decision-makers across areas such as marketing, process improvement, and customer care.

We believe that data is a means to an end, not an end in itself. We do not use advanced techniques when they are not suited to the problem we need to solve. For example, we will not build a complex machine learning model if a well-structured dashboard or a focused analysis answers the client’s question more effectively. In practice, a significant share of our missions do not require machine learning at all.

This is a role for someone who wants to combine analytical depth, business relevance, and modern ways of working in a consulting environment.

Salary and benefits

Competitive remuneration package:We offer a competitive remuneration package, including a cafeteria plan in which you can allocate your variable remuneration to the advantages that suit you best, such as extra days off, electronics, or cash.

Training roadmap:We will define a training roadmap together, taking into account both our internal capabilities and your personal interests.

Supportive structure and transparency:What we do not yet have in scale, we make up for with flexibility, support, and transparency. You can expect individual coaching and a clear approach to career development.

Modern tools:Tools are a means to an end. We want them to help you do your best work, not slow you down. You can expect up-to-date hardware and software, including modern AI-assisted tools where useful.

A serious job that does not take itself too seriously:
We care deeply about the quality of our work, but we also like working with people who can keep things human.

Application

If this sounds like the kind of role in which you would thrive, we would like to hear from you.

In your application, feel free to share examples of analyses, dashboards, code, automations, or AI-assisted workflows you have built. We are particularly interested in how you think, how you validate your work, and how you create business value.

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