Data Science Engineer

The Technology Consulting team collaborates with some of the world’s best-known domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management, and insurance companies. Our clients trust us to assist them with large-scale transformation program delivery challenges.

This is an opportunity to join a fast-growing Data & AI team focused on cutting-edge technologies, including Generative AI and Large Language Models (LLMs). You’ll enjoy plenty of autonomy and variety in this role.

We are seeking dynamic Data Scientists at all experience levels—junior, mid, and senior—who are eager to develop intensively in the fastest-growing technological sector and embrace new opportunities in a multinational work environment.

Your scope of duties:

• Design and develop advanced analytics and AI solutions to address client use cases, leveraging your experience in Data Science and AI Cloud technologies (e.g., Azure OpenAI, Databricks, Microsoft Fabric, etc.).
• Build and deploy machine learning models, including those based on LLMs and Gen AI.
• Perform data analysis, feature engineering, and statistical modeling to extract insights from complex datasets.
• Collaborate with stakeholders to gather, document, and validate business requirements for Data Science solutions.
• Act as a Subject Matter Expert in Data Science and AI (for senior roles).
• Define and estimate the scope of work for data science projects.
• Support and mentor other team members (for mid and senior roles).
• Participate in initiatives (e.g., workshops, proof-of-concept projects, product demonstrations).
• Utilize AI-powered tools (such as EYQ) to enhance your analyses, insights, and innovative ideas.
• EY.AI - in this role, your capabilities are augmented by artificial intelligence. With AI-powered solutions your analyses, insights and innovative ideas will reach a higher level. Starting with a series of training sessions, you will then use EYQ - your virtual assistant, along with other unique tools often available exclusively at EY. We continuously invest in innovation to provide you with a work environment where you can focus on the most interesting aspects of your job and create the best solutions for clients.

Our requirements:

• Very good English (verbal and written).
• Strong interest in developing a career in Data Science and AI.
• Excellent collaboration skills to interact with teammates and stakeholders.
• Ability to plan, track, and report on deliverables.
• Bachelor’s degree (or higher), preferably in engineering, computer science, mathematics, big data, statistics, or a related field.
• Experience in data science, machine learning, or AI (open to candidates from junior to senior levels).
• Coding and development skills in relevant programming languages (e.g., Python, R, SQL).
• Experience with data visualization and reporting tools (e.g., Power BI, Fabric, Tableau).
• Familiarity with production-level deployments, DevOps/DataOps principles, and version control (e.g., Git).
• Experience working in an Agile environment

Additional assets:

• Experience in large, international data science or analytics projects.
• Knowledge of cloud-based analytics platforms (e.g., Databricks, Snowflake, Microsoft Fabric).
• Experience with JIRA, Confluence, Azure DevOps, or similar work tracking tools.
• Understanding of Data Governance and Data Quality concepts.
• Experience with Gen AI, LLMs, and ML technologies.
• Familiarity with graph database solutions.
• Technical knowledge in programming, scripting, and related standards (e.g., Python, R, bash, Java, Scala, JavaScript, C#).

What we offer:

• Microsoft Enterprise Skills Initiative – instructor-led trainings and vouchers for the Microsoft exams.
• Databricks Academy – self-paced and instructor-led trainings.
• Visual Studio Enterprise subscription – Azure monthly benefits for learning.
• Access to cutting edge technology including Copilot, GitHub Copilot, Visual Studio Enterprise, Docker Enterprise, Kubernetes clusters with GPUs, etc.
• Professional and financial support in acquiring recognized qualifications and certifications.
• Udemy for Business - access to more than 3,000 online training courses.
• Go Fluent - language courses.
• EY Badges - global certification of your competencies and the opportunity to earn an MBA title from a prestigious university.
• Career Counselor - a dedicated advisor to support your career development at EY.
• Innovate EY - a unique intrapreneurship program.
• EY Wellbeing - program offering access to Wellbee psycho-educational platform, health care package with additional preventive screenings, life insurance, tickets, sports cards and many other benefits (available online and offline).

Recruitment stages:

1. Apply. If you are doing it for the first time, create a profile and add a resume. 

2. Talk. Recruiters and people from your future team are waiting.

About EY Poland:

We are a global consulting firm - helping businesses, organisations and communities make the most of their potential. Our audit, consulting, legal, strategy, tax and transaction teams ask the non-obvious questions to find new answers to the complex challenges facing the world today.  

We employ more than 390,000 exceptional people in over 150 countries around the world. In Poland there are over 7,000 of us, working in: Warsaw, Gdansk, Katowice, Krakow, Lodz, Poznan, Rzeszow and Wroclaw. 

We create amazing things together every day. We have the people, the development path and the training to help you grow fast, gaining experience on successive projects.   

We care about the environment - not just the business. As part of our plan, we have reduced our global greenhouse gas emissions by 43% from a 2019 baseline.   

EY is an equal opportunity employer, we value and promote diversity in the knowledge and experience of our community. We operate the 'Level Up Without Barriers' program, which supports employees with disabilities to achieve their career ambitions and dreams.  

EY provides all applicants with equal opportunities in the recruitment process, regardless of gender, age, race, religion, sexual orientation, national origin, disability or any other legally protected basis, in accordance with applicable law.