Data Science Consultant

October 7, 2026

Remote

Junior

Warsaw, Poland

Worth knowing

English is required
Degree required

Description

A data science consultant role in a multi-disciplinary consulting environment, harnessing data to deliver real-world impact for organizations globally. The consultant works on complex data sets, develops data science products and modeling solutions, and presents findings to internal and client stakeholders. The tech stack includes Python, PySpark, Databricks, SQL, Docker, Kubernetes and cloud platforms AWS, GCP and Azure. The employer offers mentorship, structured learning programs and a global community across 65+ countries.

Responsibilities

Work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally
Influence many of the recommendations clients need to positively change their businesses and enhance performance
Work on complex and extremely varied data sets from some of the world's largest organizations to solve real-world problems
Develop high-quality data science products and solutions for clients as well as assets for internal data teams, focusing on modeling
Present findings and recommendations and provide consultation to stakeholders, both internal and clients
Work across various industries and sectors, gaining insights into diverse business challenges and applications of data science and AI engineering
Build large-scale data and analytics solutions, handling complex problems and advanced client situations
Learn best practices in data and analytics development, including framework, responsibility model, high-quality code, data security, sustainability and scalability
Stay up-to-date with the latest advancements in generative and agentic AI, data science tools, techniques and technologies
Develop strong client-facing skills including effective communication, problem-solving and presentation abilities
Work with data scientists, data and software engineers, designers, project managers and business subject matter experts on interdisciplinary projects across various industry sectors

Requirements

Master's degree in (business) maths, statistics, economics/econometrics, machine learning, data science, physics, computer science or engineering required
Up to 2 years of professional hands-on experience in applying advanced data science methods and implementing technical data solutions such as developing machine learning models to solve business problems
A strong grasp of various analytics landscape including business intelligence, machine learning, AI and generative AI, and how to apply them effectively in different scenarios
Proficiency in Python and SQL with focus on data and analytics applications
Professional experience in cloud-based analytical tools from market-leading providers such as AWS, MS Azure and Google Cloud
Proven record of leadership in a work setting and/or through extracurricular activities
Practical experience in generative and agentic AI application development is a plus
Proven record of advisory works is a plus
Effective communication and presentation skills to explain complex analytical concepts in a comprehensible manner for non-technical audiences such as business managers, heads of products, sales and marketing leads
Proficient communication skills in Polish and English

Conditions

Continuous learning culture backed by structured programs with clear, actionable and development-focused feedback
A voice that matters with ideas and contributions valued from day one
Global community with colleagues across 65+ countries and over 100 different nationalities
World-class benefits package to enable holistic well-being for you and your family
Apprenticeship, coaching and mentorship to accelerate leadership development
Competitive salary based on your location, experience and skills

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