דרושים Analityk/analityczka Ai Data Scientist ב-Ey ב-Poland, Warsaw

As part of our team, you’ll work at the intersection of strategy, technology, and innovation - helping clients unlock value from digital enablement with strong focus on AI. You will support clients with strategic advice around digital and AI enablement, incorporating AI as an important value lever in business transformations but also guiding investors around potential disruption risks and value creation opportunities for their assets.

As a Senior Consultant you will be an integral part of our team, managing workstreams or full projects within digital and AI strategy, value creation or M&A tech assessments. You will be also responsible for driving go-to-market efforts around specific sectors, incl. sales initiatives, development of discussion materials and proposals.

Your scope of duties:

• Leading digital and AI projects, including (but not limited to) digital and AI strategy, roadmap development, value creation, and operating model design, commercial and tech assessments in the M&A context;
• Supporting business development, including leading preparation of pitches and presentations, working closely with colleagues across the organization;
• Supporting digital and AI initiatives and go-to-market for specific sectors (core focus on TMT, industrials, consumer and financial services);
• Collaborating across EY service lines and geographies to deliver integrated, cross-functional solutions;
• Mentoring and developing junior team members, fostering a culture of learning and innovation;
• Contributing to practice development initiatives, supporting our focus on creating a great workplace (e.g., upskilling broader team on AI, recruitment);
• 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:

• 4+ years of experience developing and executing IT strategies or leading large-scale technology transformation programs;
• Strong strategic thinking and business acumen combined with technology understanding;
• A passion for how AI and emerging technologies drive business outcomes;
• Strong understanding of digital and AI technologies (e.g., machine learning, GenAI, Agentic AI) and their business applications;
• Ability to structure and solve complex problems and communicate effectively with senior stakeholders;
• Experience working with stakeholders at the managerial level, managing diverse interests and expectations;
• Curiosity, adaptability, and a growth mindset;
• Good command of the English and Polish language in both spoken and written form;
• Experience working with stakeholders at the managerial level, managing diverse interests and expectations.

What we offer:

• Work on high-impact digital and AI strategy projects with leading companies;
• Gain end-to-end understanding of digital and AI transformations, from strategy to execution;
• Collaborate with global, cross-functional teams;
• Invest in your personal growth and career development;
• Contribute to a positive impact on clients, teams, and society;
• Professional and financial support in obtaining recognised qualifications and certificates;
• EY Badges - global certification of your competencies and the opportunity to earn an MBA title from the prestigious Hult University;
• Career Counselor - professional, one-to-one guidance on career building and development;
• Innovate EY - unique programmes where you can create your own start-up using our know-how and funding;
• Psycho-educational platform - a package of free consultations with specialists in the broad field of mental health and personal development and access to educational activities;
• A convenient hybrid working model;
• Benefit programme offering private healthcare with additional preventive examinations, life insurance, tickets, team sports, language learning platform, sports cards and much more (available online and offline).

Recruitment Stages:

1. Apply. If this is your first time, create a profile and upload your CV.
2. Let's Talk. Recruiters and members of your future team are eager to connect with you.

Your scope of duties:

• Design and implementation of ETL processes;
• Integration with relational databases and opensearch;
• Use of LLM models for document parsing;
• Creation of unit tests and project documentation;
• 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:

• Completed higher education (preferred fields of study include computer science, mathematics, statistics, or related fields);
• Very good knowledge of Python and relational databases;
• Experience in implementing ETL flows;
• At least 5 years of experience as a Data Engineer;
• Experience in agile methodologies and working with tools that support team collaboration in task prioritization (ADO), code creation, version control (GIT), and documentation;
• Passion for creating complete Data Science solutions/products;
• Ability to communicate technical content in an accessible manner;
• Good knowledge of English and Polish, both spoken and written;

We will also appriciate:

• Experience in implementing ETL flows in distributed systems;
• Ability to work in a container environment (Docker, Kubernetes);
• Knowledge of MS Azure, GCP – mainly in terms of model usage;
• Knowledge of ETL tools Apache Airflow, SSIS, and PostgreSQL and MS SQL databases;
• Knowledge of concepts related to machine learning and artificial intelligence.

What we offer:

• Professional and financial support in obtaining recognised qualifications and certificates;

• EY Badges - global certification of your competencies and the opportunity to earn an MBA title from the prestigious Hult University;

• Career Counselor - professional, one-to-one guidance on career building and development;
• Innovate EY – unique programmes where you can create your own start-up using our know-how and funding;
• Psycho-educational platform - a package of free consultations with specialists in the broad field of mental health and personal development and access to educational activities;
• A convenient hybrid working model;

• Benefit programme offering private healthcare with additional preventive examinations, life insurance, tickets, team sports, language learning platform, sports cards and much more (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 recruiters and people from your future team are waiting.

Key Responsibilities:

• Design and implement data and AI solutions on cloud platforms (AWS, Azure, GCP).
• Develop data pipelines and integrate data from multiple sources using cloud-native tools.
• Build and deploy machine learning models and AI services in cloud environments.
• Collaborate with clients to understand business requirements and translate them into technical solutions.
• Ensure compliance with security, governance, and regulatory standards.
• Work closely with DevOps teams to automate deployment and monitoring of AI/Data solutions.
• 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:

• 3–5 years of experience in data engineering, AI/ML, or cloud-related roles.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with technical and business stakeholders.
• Advanced English proficiency (written and spoken).
• Hands-on experience with cloud services for data and AI: S3, Glue, SageMaker, Data Factory, Synapse, Azure ML, BigQuery, AI Platform.
• Strong knowledge of data engineering (ETL, data modeling, data lakes).
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proficiency in Python and SQL for data processing and model development.
• Familiarity with Infrastructure as Code and automation tools (Terraform, CI/CD).
• Understanding of data security and compliance in cloud environments.
• Certifications in cloud or AI (AWS, Azure, GCP) are a plus.

We offer:

Your Key Responsibilities

You will also fit in to our positive learning culture from day one. You will bring your existing skills/knowledge and coach people in these where that is relevant and applicable to our work, and you will be valued for your efforts to coach and counsel junior team members to help them develop.

Skills and Attributes for Success

• Financial analysis and scenario modelling to support decision making and execution.
• Commercial acumen –using knowledge and insight gained from other client work and apply your understanding of the wider business environment.
• Ability to identify the key issues and flag them to seniors, with suggestions for next steps.
• Competent at translating analysis into content that can be incorporated directly into written reports for clients.
• Sensitive to both the interpersonal dynamics and the wider firm risk of working with distressed businesses and their stakeholders
• Desire to support the people development of FR – contributing to or leading training courses, recruitment, and team / wellbeing activities.
• Desire to learn and proactive in seeking formal and informal learning and training opportunities.

To qualify for the role you must have

• Willingness to adapt in a fast paced and changing environment to meet the needs of the business
• Appreciation of the sensitivity and heightened risk of working with people in distressed situations

Ideally, you’ll also have

• Professional accountancy qualification
• Ability to build your own network of contacts and deal professionally and competently with clients, management teams and others outside the firm.
• Skills or desire to be a good manager of people – providing feedback and performance reviews to junior staff.
• Ability to build strong internal relationships in FR and across other services and can actively participate in business development.

What we offer

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Your scope of duties:

• Designing and building new functionalities and solutions to client use cases, utilizing your extensive experience in Data&AI Cloud technologies (e.g., Azure OpenAI, Databricks, Microsoft Fabric etc.),
• Building AI solutions and advanced analytics platforms,
• Data modeling, mapping and integration between source and target systems,
• Acting as Subject Matter Expert in Data&AI area,
• Defining and estimating the scope of work needed for the implementation of data systems,
• Gathering, documenting, and validating business requirements for Data&AI Solutions,
• Collaborating, supporting and mentoring other team members,
• Supporting side initiatives (e.g., workshops, proof-of-concept, product shows),
• 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 language in verbal and written communication,
• Willingness to develop your career in Data&AI area,
• Excellent collaboration skills to interact with teammates and other stakeholders,
• Ability to plan, track, and report the status of the deliverables,
• At least a bachelor’s degree, preferably in engineering, computer science, or similar,
• 2-6 years of experience in building Data&AI solutions including data engineering, optimizations, modelling, pipelines etc,
• Coding and development skills in programming languages (e.g., Python, PySpark + SQL).
• Experience implementing production-level deployments at an enterprise scale, understanding of DevOps/DataOps principles, working knowledge of Git.
• Working knowledge of data visualization/reporting tools such as PowerBI/Fabric,
• Experience in building applications using LLMs (foundation models, APIs, frameworks, prompt engineering, and techniques),
• Experience in building modern application architecture (Microservices, REST API, Kubernetes containers),
• Proficiency working in an Agile environment.

Additional Assets:

• Experience in large, international Data solution implementation programs,
• Experience and knowledge of building data analytics solutions using technologies like Fabric, Databricks, Snowflake etc,
• Experience with JIRA, Confluence, or Azure DevOps or similar work tracking tools,
• Knowledge of Data Governance and Data Quality concepts and standards,
• Knowledge of GenAI, LLMs and ML technologies,
• Working experience with NoSQL, Graph database solutions,
• Technical knowledge in programming, scripting, and related standards (Python, bash, Perl, Java, Scala, JavaScript, C#).

What we offer:

• 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).

You will contribute in providing exceptional subject matter expertise and solving complex problems to make a difference for our Clients. Colleagues and Clients from a diverse array of backgrounds will look to you first for answers, so you’ll be a high-profile contact when it comes to resolving complex issues. As you expand your knowledge and experience. You’ll become a credible advisor, influencing Clients and engagement teams on resolutions that will impact entire industries. We are looking for Candidates who will strengthen our Technology Solutions Delivery Team in Poland. We welcome skilled data engineers willing to contribute to Data&AI team in designing, developing, and implementing data solutions.
We will appreciate when you are willing to take initiative and seek out opportunities to grow our Data practice with strong focus on Gen AI/LLMs. If you’re serious about progressing and ready to solve our clients’ most complex issues, this role is for you.

Your scope of duties:

• Designing and building new functionalities and solutions to client use cases, utilizing your extensive experience in Data&AI Cloud technologies (e.g., Azure OpenAI, Databricks, Microsoft Fabric etc.);
• Building AI solutions and advance analytics platforms;
• Data modeling, mapping and integration between source and target systems;
• Acting as Subject Matter Expert in Data&AI area;
• Defining and estimating the scope of work needed for the implementation of data systems;
• Gathering, documenting, and validating business requirements for Data&AI Solutions;
• Collaborating, supporting and mentoring other team members;
• Supporting side initiatives (e.g., workshops, proof-of-concept, product shows);
• 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 language in verbal and written communication;
• Willingness to develop your career in Data&AI area;
• Excellent collaboration skills to interact with teammates and other stakeholders;
• Ability to plan, track, and report the status of the deliverables;
• At least a bachelor’s degree, preferably in engineering, computer science, or similar;
• 2-6 years of experience in building Data&AI solutions including data engineering, optimizations, modelling, pipelines etc.;
• Coding and development skills in programming languages (e.g., Python, PySpark + SQL);
• Experience implementing production-level deployments at an enterprise scale, understanding of DevOps/DataOps principles, working knowledge of Git;
• Working knowledge of data visualization/reporting tools such as PowerBI/Fabric;
• Experience in building applications using LLMs (foundation models, APIs, frameworks, prompt engineering, and techniques);
• Experience in building modern application architecture (Microservices, REST API, Kubernetes containers);
• Proficiency working in an Agile environment;

We will also appriciate:

• Experience in large, international Data solution implementation programs;
• Experience and knowledge of building data analytics solutions using technologies like Fabric, Databricks, Snowflake etc.;
• Experience with JIRA, Confluence, or Azure DevOps or similar work tracking tools;
• Knowledge of Data Governance and Data Quality concepts and standards;
• Knowledge of GenAI, LLMs and ML technologies;
• Working experience with NoSQL, Graph database solutions;
• Technical knowledge in programming, scripting, and related standards (Python, bash, Perl, Java, Scala, JavaScript, C#).

What we offer:

• 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 recruiters and people from your future team are waiting.