---
title: 'Fullstack Data Scientist - freelancer at Lingaro'
canonical: 'https://feeny.ai/job/fullstack-data-scientist-freelancer-lingaro-poland-8yye81t4q9a4'
type: 'job'
last_seen: '2026-10-18'
---

# Fullstack Data Scientist - freelancer at Lingaro

- **Company:** Lingaro
- **Location:** Poland
- **Employment:** freelance
- **Work type:** remote
- **Posted:** 2026-10-08
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.lever.co/lingarogroup/6972e816-0c99-49c5-8832-5183b921197c

## Job description

Tasks: Lead discovery and solution design for GenAI use cases, translating business problems into concrete architectures (LLM decision, RAGs, fine-tuning, agents, guardrails). Build end-to-end GenAI applications: data ingestion, retrieval layer, orchestration (e.g. LangChain/LlamaIndex/LangGraph), API/backend, and simple UI where needed. Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness. Perform model selection, prompting strategies, and fine-tuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including evaluation and A/B testing. Implement safety, compliance, and governance controls (input/output filters, PII handling, audit logs, human-in-the-loop review where required). Collaborate with data engineers, product owners, and full-stack developers on scalable architectures, SLAs, and integration with existing enterprise systems. Gather technical requirements and estimate planned work. Mentor other data scientists/engineers in GenAI patterns, code quality, and best practices; contribute to internal libraries, templates, and reusable components. Stay current with GenAI landscape (new open and hosted models, agentic frameworks, evaluation techniques) and perform targeted PoCs to validate them.

What We're Looking For: 6+ years of experience in Data Science/AI engineering. At least 4+ years of experience in production-ready Python AI-related code development. At least 2+ years of experience in production-ready LLM-related code development, preferably based on the Retrieval-Augmented Generation (RAG) concept. Strong analytical and problem-solving skills with the ability to optimize AI solutions for diverse applications. Strong knowledge and experience in Generative AI, including LLMs, chatbots, AI agents, and RAG mechanisms. Deep understanding of LLM evaluators, validators, and guardrails. Hands-on experience with one or more GenAI frameworks: LangChain, LlamaIndex, LangGraph, or similar orchestration stacks. Hands-on experience designing or operating MCP servers/clients for LLM agents Strong Python skills, including production-grade code, packaging, and testing for data/ML services Solid understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model lifecycle, AI architectures. Proven ability to collaborate effectively across technical and non-technical teams. Familiarity with cloud environments such as Azure (preferred), GCP, or AWS, including AI-related managed services. Familiarity with CI/CD, testing, and containerized deployments. Excellent communication skills in English, with the ability to convey complex technical concepts to various audiences.

What Will Set You Apart: Experience in designing and programming ML algorithms and data processing pipelines using Python. Good understanding of CI/CD and DevOps concepts, with experience working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps). Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes. Experience with agentic AI development frameworks (e.g., BMAD, multi-agent orchestration, spec-driven AI workflows).

## About Lingaro

## Company Overview
- **One-liner**: Global end-to-end data and AI partner to leading brands and enterprises, turning complex data into actionable insights and AI-driven automation.
- **Entity Type**: Privately Held (no public funding disclosures; bootstrapped growth assumed)
- **Headquarters**: Warsaw, Poland
- **Founded**: 2008
- **Founders**: Not publicly available

## Core Business
- **Primary industries**: IT Services and IT Consulting; Data & Analytics; AI Services
- **Target customers**: B2B, primarily large enterprises and global brands, including highly regulated industries (retail, CPG, supply chain, manufacturing)
- **Mission**: Help clients achieve more with data and AI by creating data-driven and AI-augmented experiences that deliver human impact and measurable business outcomes.

## Products & Services
- **Marketing & Commercial Analytics**: Marketing/media effectiveness, sales & channel execution, Revenue Growth Management (RGM), omnichannel commerce & content automation.
- **Intelligent & Resilient Supply Chain**: Demand planning, sensing & forecasting, manufacturing intelligence, inventory optimization, warehouse automation, logistics analytics.
- **Sustainability & Compliance**: Sustainable product intelligence & LCA, decarbonization & net zero pathway, compliance-grade reporting & risk management.
- **AI & GenAI**: Custom AI models, machine learning solutions, automation including GAIA (AI sales & customer support assistant).
- **Data Consulting**: Strategy development, governance frameworks, architecture design.
- **Technology Consulting & Advisory**: Digital transformation guidance, technology roadmaps.
- **Data Visualization**: Dashboards and reporting.
- **Learning Technology & Adoption**: Training programs, user adoption strategies (5x faster adoption with 7 accelerators).
- **Intelligent Operations & Support**: Managed services, 24/7 support, optimization.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Over 1,800 employees worldwide (homepage) / 1,092 according to LinkedIn (+3% YoY)
- **Notable Investors/Partners**: Partnerships with leading hyperscalers (not named); no external investors publicly listed.
- **Growth Signals**:
  - Recognized as a **Leader in ISG Provider Lens 2025** (Advanced Analytics and AI Services across Europe and the US).
  - **Fortune 100 Best Companies to Work For in Europe™** (2024).
  - **Great Place to Work®-certified** in Poland, Philippines, and India (2025).
  - **Best Workplaces™ in Asia** (2024).
  - Supports **75+ leading brands across 30+ countries**.
  - Workforce distributed across 25 countries; operations in 6 countries (Poland, US, Philippines, Singapore, Mexico, Switzerland).
  - Open positions visible on careers page (e.g., Data Engineer, AI DevOps, Supply Chain roles).

## Competitive Advantages
- **End-to-end data & AI services** – from strategy/advisory to implementation, adoption, and managed support.
- **Deep industry expertise** – especially in highly regulated sectors (retail, CPG, supply chain, sustainability).
- **AI adoption framework** – 5x faster adoption via proprietary accelerators and change management.
- **Human-centric approach** – combines design thinking, AI, and human creativity to build user-centric solutions.
- **Global delivery model** – 24/7 support across time zones with strong European roots and global scale.
- **Awards & recognition** – multiple Great Place to Work seals and ISG Leader status validates both workplace culture and service quality.

## Strategic Focus
- **Data and AI readiness** – helping organizations become “data-ready, AI-ready, and future-ready.”
- **Growth in AI & GenAI** – expanding custom model development and automation solutions like GAIA.
- **Supply chain resilience** – intelligent supply chain offerings as a key growth vertical.
- **Sustainability services** – compliance-grade reporting and decarbonization pathways for clients.
- **Geographic expansion** – continues to scale presence in the US, APAC, and Europe.

## Why Work Here
- **Culture**: Great Place to Work®- certified for multiple consecutive years; Fortune 100 Best Workplaces in Europe; Best Workplaces in Asia 2024.
- **Work environment**: Remote and hybrid roles available (e.g., many positions listed as “Remote — Full-time Poland”).
- **Growth & learning**: Strong focus on learning technology and adoption – internal training programs and career development.
- **Global team**: Collaboration across 6 countries and 25 nationalities; exposure to large enterprise clients.
- **Engineering culture**: Heavy emphasis on data engineering, AI/ML, cloud (GCP, Snowflake), and modern tech stacks.
- **Employee rating**: 3.8/5.0 (249 reviews on LinkedIn) with Culture rated 4.0, Work-Life 3.9, Career 3.7.

## Sources
1. [Lingaro Group About Page](https://lingarogroup.com/about)
2. [Lingaro LinkedIn Company Page](https://www.linkedin.com/company/lingaro)
3. [Lingaro Careers Page (Lever)](https://jobs.lever.co/lingarogroup)
4. [Lingaro Group Home Page](https://lingarogroup.com/home)
5. [Lingaro Executive Leadership Page](https://lingarogroup.com/about/executive-leadership-team)

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