Fullstack Senior Data Scientist

About The Company

Our client is an end-to-end data services partner to global enterprises, founded in 2008 and headquartered in Warsaw. Our teams work with over 75 leading consumer packaged goods brands across more than 30 countries, helping them unlock the full value of their data — from strategy and development through to operations and adoption.

Our work spans supply chain analytics, customer analytics, AI and machine learning, data platforms, and digital commerce. We are recognised as a Strong Performer in the Gartner Peer Insights Voice of the Customer report for data and analytics, and hold Great Place to Work certification in multiple countries.

About The Role

Lead projects in Generative AI, design and optimize AI solutions, mentor teams, and collaborate on scalable architectures. Requires expertise in LLMs, RAG, and Python.

About The Role

We're looking for an experienced Senior Data Scientist with deep expertise in Generative AI to lead projects building and implementing advanced LLM-based systems — including chatbots, AI agents, and RAG pipelines. This is a technical leadership role: you'll make architectural decisions, select technologies, set best practices, and mentor other engineers, while remaining hands-on across the full solution lifecycle.

You'll work closely with data engineers, product owners, and full-stack developers to deliver scalable GenAI applications for large enterprise clients, primarily in CPG, retail, and manufacturing.

What You'll Work On

Solution design and discovery

Lead discovery and solution design for GenAI use cases — translating business problems into concrete architectures covering LLM selection, RAG, fine-tuning, agents, and guardrails.

End-to-end GenAI applications

Build complete GenAI solutions covering data ingestion, retrieval layers, orchestration (LangChain, LlamaIndex, LangGraph), API and backend, and lightweight UI where needed.

RAG pipeline design

Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness.

Model selection, prompting, and fine-tuning

Own prompting strategies, model selection, and fine-tuning (LoRA, QLoRA, SFT) for text, code, and multimodal models, including evaluation and A/B testing.

Safety and governance

Implement safety, compliance, and governance controls including input/output filters, PII handling, audit logs, and human-in-the-loop review where required.

Requirements and estimation

Gather technical requirements from stakeholders and produce reliable estimates for planned work.

Mentorship and knowledge sharing

Mentor other data scientists and engineers in GenAI patterns, code quality, and best practices. Contribute to internal libraries, templates, and reusable components.

Staying current

Track the GenAI landscape — new open and hosted models, agentic frameworks, evaluation techniques — and run targeted PoCs to validate emerging approaches.

What We Look For

6+ years in Data Science or AI engineering

Broad experience across the data science and AI stack, with a track record of delivering production systems.

4+ years of production Python for AI

Fluent in writing production-ready Python for AI and ML workloads — clean, maintainable, and deployable.

2+ years of production LLM development

Hands-on experience building and shipping LLM-based systems in production environments, not just research or prototypes.

Strong analytical and problem-solving skills

Able to break down ambiguous problems, make sound architectural decisions under uncertainty, and defend those decisions clearly.

Excellent English communication

Comfortable working directly with international clients and cross-functional teams. Able to translate technical complexity for non-technical stakeholders.

THE TEAM

You'll join a specialist Data Science and AI practice working alongside experienced consultants, ML engineers, and data engineers. The team delivers solutions for large international clients across CPG, retail, and manufacturing. There is a strong knowledge-sharing culture, with internal communities, competency centres, and structured learning programmes built into how the team operates.

Compensation & Benefits

Rate

105 – 170 PLN per hour on a B2B contract, depending on experience.

Work model

Fully remote or office-based — your choice. Flexibility on working hours and contract form.

Workation policy

Option to work remotely from other locations for defined periods.

Onboarding

Comprehensive online onboarding programme with a dedicated buddy from day one.

Learning and development

Unlimited access to the Udemy learning platform from day one. Certificate training programmes, upskilling support, capability development programmes, competency centres, knowledge sharing sessions, community webinars, and over 110 training opportunities per year.

Career growth

Internal promotion pathways — 76% of managers were promoted internally. Cooperation with top-tier engineers and domain experts across the organisation.

Referral bonuses

Financial rewards for successful employee referrals.

Wellbeing

Activities to support health and wellbeing, with opportunities to contribute to charitable causes and environmental initiatives.

Equipment

Modern office equipment provided.

Employer recognition

Great Place to Work certified employer.

Requirements

• 6+ years of experience in Data Science/AI engineering
• 4+ years of experience in production-ready Python AI-related code development
• 2+ years of experience in production-ready LLM-related code development
• Strong analytical and problem-solving skills
• Excellent communication skills in English

Required Skills

• Python
• Generative AI
• LangChain
• Azure
• CI/CD

Benefits

• Stable employment
• Office as an option model (remote or office work)
• Workation policy
• Great Place to Work® certified employer
• Flexibility regarding working hours and preferred form of contract
• Comprehensive online onboarding program with a 'Buddy' from day 1
• Cooperation with top-tier engineers and experts
• Unlimited access to the Udemy learning platform from day 1
• Certificate training programs
• Upskilling support
• Capability development programs
• Competency Centers
• Knowledge sharing sessions
• Community webinars
• 110+ training opportunities yearly
• Internal promotions (76% of managers)
• Diverse, inclusive, and values-driven community
• Autonomy to choose the way you work
• Referral bonuses
• Activities to support well-being and health
• Opportunities to donate to charities and support the environment
• Modern office equipment

Salary: 307000 - 326000 SalaryCurrency.PLN