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Kearney Forward Deployed Engineer 2026
Kearney
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Source date: 10/27/2026
About this role
Job Description About Kearney A global partnership in more than 40 countries, our people make us who we are. We’re individuals with different passions and strengths who take as much joy in the work we do as from those we work with. Together, we know our people are our difference - for our clients, our colleagues, and our communities. That’s why we take pride in being individual and inclusive and create a place where everyone can bring their full self to work. About the Project You’ll build data & AI solutions that have high impact on the client business, by working closely with international teams of consultants and having direct client-facing exposure. You’ll be part of the team definition what drives real impact, redesigning the processes and implementing agents / models supporting that change. Your responsibilities will include using Python to build models (focusing on “what is the business impact”), developing AI solutions and machine learning analyses, and translating complex technical concepts into clear, accessible language for non-technical stakeholders. Team Join a dynamic team of ~30 forward deployed engineers who work closely with management consulting teams and clients to provide AI solutions and insights based on models. The team offers a rich learning environment with expertise in AI, machine learning, development, and strategy. You will also have the opportunity to learn from experienced team members through ongoing guidance and mentoring. Beyond professional growth, you’ll find a friendly and collaborative atmosphere, all within the broader global Data & AI community. Job Responsibilities - Support seniors in developing and deploying agents/ models - Contribute to building scalable analytical solutions using Python and related data science libraries - Contribute to the creation and maintenance of interactive apps leveraging LLMs (LangChain, LangGraph, CrewAI) - Apply statistical and machine learning techniques to extract insights and solve business problems - Processing large datasets for analysis and modeling - Collaborate with cross-functional teams to integrate data-driven solutions into business workflows Key Requirements At least two of the following skills: - Python (most used: Pandas) - Machine Learning (scikit-learn stack, e.g. K-Means, XGBoost) - SQL (basic) Availability: students are welcome, but availability Monday–Friday is required (with some degree of flexibility) Location: Warsaw (meeting the team in the office 1–2 times per week) Development Opportunities We Offer - Senior mentor to guide you through career - Buddy to help get up to speed - Training / conference budget - Trainings facilitated by external companies - Everyday coaching from experienced engineers - Industry-specific e-learning platforms What We Offer - Global Exposure: Work on remote or on-site projects across the US, Middle East, and Western Europe - Comprehensive Benefits: Medicover healthcare, Multisport membership - Team Culture: Monthly Friday afternoon social events and team/office outings 1-2 / year; additionally project outings / get-togethers - Mental Health Support: Access to an external online platform for confidential mental health assistance / therapy / coaching - Expert Community: Collaborate and learn from a global network of industry-leading professionals in Data & AI - Modern Workspace: Work from our 34th-floor office near Rondo ONZ, featuring panoramic views and a well-stocked kitchen with healthy snacks - Occasional additional days off (recently 2 days / year) Benefits - Private medical + dental care for you and your partner/family - Multisport Plus for you and your partner - Life insurance - Hybrid work (whatever works for you best as long as you connected to the team) - Many team outings - Corporate AMEX card - Charity / non-profit projects and initiatives - Extra leave package (Vacation Plus) - Family building support package (FamilyFlex) - Fully equipped kitchen (snacks, fruits, drinks) - Sharing the costs of sports activities Language Requirements Polish and English