Fullstack Senior Data Scientist

What this company does

This is a data and analytics services company founded in 2008 working with over 75 large consumer goods brands across 30 countries. The work covers AI and machine learning supply chain analytics customer analytics data platforms and digital commerce. Clients are big the engagements are complex and the expectations are enterprise-grade.

Why this role exists

The company is building and delivering GenAI solutions for large clients in retail CPG and manufacturing. They need someone who can both lead the technical direction of those projects and stay hands-on throughout the full build. This is not a research role and it is not a management-only role. You will make architectural decisions and also write the code.

What you will do

• Lead the design and discovery phase for GenAI projects: translate business problems into concrete architectures covering model selection RAG agents fine-tuning and guardrails

• Build complete GenAI solutions end to end covering data ingestion retrieval layers orchestration (LangChain LlamaIndex LangGraph) API and backend

• Design RAG pipelines using vector databases hybrid search rerankers query transformation and evaluation frameworks

• Own prompting strategies model selection and fine-tuning approaches including LoRA QLoRA and supervised fine-tuning

• Implement safety and governance controls: input/output filters PII handling audit logs human-in-the-loop mechanisms

• Gather technical requirements directly from client stakeholders and produce reliable delivery estimates

• Mentor other data scientists and engineers on GenAI patterns code quality and best practices

• Track the GenAI landscape actively and run targeted proof-of-concepts on emerging approaches

What the job actually looks like

• You will work directly with international clients often translating complex technical choices into language that non-technical stakeholders can act on

• Engagements are with large enterprises in retail CPG and manufacturing. These clients have complex legacy environments change management processes and compliance requirements

• You will be responsible for both the architecture decisions and the code quality on the same project with other engineers looking to you for direction

• The work involves production systems not pilots. If something breaks in production for a major retail client you are part of the response

What this role requires

• 6 or more years in Data Science or AI engineering with a track record of shipping production systems not just prototypes

• 4 or more years writing production-ready Python for AI and ML workloads: clean maintainable deployable code

• 2 or more years of hands-on production experience with LLM-based systems including RAG pipelines agent frameworks and evaluation

• The ability to make architectural decisions under uncertainty and defend them clearly to both technical and non-technical audiences

• Fluent English for direct client communication

What this role does not include

• Research-stage or experimental-only work. Everything here is built to run in production

• A small-team environment. You will be working within a structured consulting organisation with its own processes governance and delivery standards

• Founder-level autonomy. You will have significant technical ownership but within client contracts and delivery commitments

Compensation and working conditions

• PLN 105 to 170 per hour on B2B contract depending on experience

• Fully remote or office-based your choice

• Workation policy available for defined periods

• Dedicated onboarding buddy from day one

• Unlimited Udemy access and 110 or more training opportunities per year

• Internal promotion pathways: 76% of promotions are internal