Data Scientist - Consulting & AI Delivery

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.

Requirements

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

Benefits

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.