工作描述
WHO WE ARE
Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services.
At the AI&Data, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.
THE WORK
As a Data Scientist, you will design and deliver data-driven solutions that turn complex enterprise data into actionable insights and intelligent products for leading global companies. We’re looking for people who combine strong analytical and statistical foundations with practical engineering skills – and who are eager to leverage GenAI as a force multiplier in their data science workflow.
You will:
Build and deploy machine learning models and analytical solutions that solve real business problems at scale for enterprise clients
Design and implement advanced analytics pipelines – from data exploration and feature engineering through model training, evaluation, and production deployment
Leverage GenAI and LLMs to augment data science workflows: conversational analytics, Text-to-SQL, automated insight generation, and intelligent data exploration over enterprise datasets
Translate business requirements into data science approaches – selecting the right methods, validating assumptions, and communicating results to both technical and non-technical stakeholders
Collaborate with engineers, architects, and consultants on cross-functional project teams, contributing to solution design and technical direction
Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
WHAT’S IN IT FOR YOU?
High-impact analytical work at enterprise scale: solve complex data problems for organizations – where your models and insights directly shape business decisions.
Data science meets GenAI: work at the intersection of classical ML and Generative AI – applying LLMs to unlock new ways of analyzing and interacting with enterprise data.
A clear growth path within a world-class AI & Data team: build depth in both data science and GenAI, supported by experienced practitioners, on projects that push the boundaries of what’s possible with data.
职位要求
HERE’S WHAT YOU’LL NEED
- Min. 3 years of commercial experience in Data Science, Machine Learning, or a related analytical role
- Strong Python skills and advanced SQL knowledge
- Solid foundation in statistics, machine learning, and predictive modeling – able to select the right approach and validate results rigorously
- Experience with ML frameworks and libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
- Practical experience with data wrangling, feature engineering, and working with large-scale datasets
- Familiarity with LLMs and Generative AI – understanding how to leverage foundation models for analytical tasks (e.g., Text-to-SQL, data summarization, conversational analytics)
- Proficiency with AI-assisted development tools (e.g., Cursor, Copilot, or similar) – we expect these to be a core part of your daily workflow, not an occasional add-on
- Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing
- Good command of English (min. B2+)
BONUS POINTS IF YOU HAVE
Experience building NLP solutions or working with text data at scale
Hands-on experience with RAG pipelines, embeddings, or vector databases in analytical contexts
Familiarity with MLOps practices, experiment tracking (e.g., MLflow, Weights & Biases), and CI/CD for ML models
Experience with data visualization tools and building analytical dashboards (e.g., Power BI, Tableau, Streamlit)
Knowledge of containerization and API tooling (Docker, FastAPI, Flask)
Understanding of Responsible AI principles and model fairness, explainability, and bias mitigation
Contributions to open-source projects, published research, or Kaggle competition experience
WHAT WE OFFER?
A permanent employment contract
Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach
A comprehensive training package, including: soft skills, technical and language training, access to e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses and certifications
Employee Assistance Program offering legal, financial and psychological consultations
Employee Share Purchase Plan – employees who own company shares are automatically eligible for quarterly dividends
Paid employee referral program
Private medical care and life insurance
Access to the Worksmile benefits platform (including the Multisport card)
Interview Note: We value practical skills. During the technical interview, we’ll give you a real problem to solve and debug together – using your preferred development setup, including any AI-assisted tools you work with day to day.
WHAT WE BELIEVE:
Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with. Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy
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