Senior Data Scientist (Data&AI)

At the Data & Applied Intelligence hub, 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.

For more information about Accenture Technology Poland, please visit our website:

THE WORK:

• Design and develop machine learning and predictive analytics solutions, selecting suitable modeling approaches and rigorously validating results while pursuing continuous learning.
• Work directly with clients to understand business needs, translate them into analytics objectives, communicate findings, and recommend actions that create business value.
• Build scalable analytical solutions using Python, PySpark, cloud platforms, and ML frameworks, working with large datasets and applying feature engineering and statistical methods.
• Apply MLOps practices, experiment tracking, model deployment, CI/CD, Responsible AI principles, and model explainability, demonstrating a commitment to constant progress.
• Explore how LLMs and Generative AI can support analytics use cases such as Text-to-SQL, data summarization, and conversational analytics, while staying motivated to embrace new opportunities and dedicated to evolving skills.

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.

• A permanent employment contract.
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package including soft, technical, and language training, access to e-learning platforms, Gallup test, GenAI training, and the possibility of co-financing courses and certification.
• Employee Assistance Program with legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee Share Purchase Plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the Worksmile platform, with the possibility of using a wide range of products and services, including the Multisport card.

• Minimum 4 years of professional experience in Data Science, Machine Learning, Data Engineering, or a closely related area.
• Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Data Science, or another relevant technical field.
• Strong hands-on skills in Python and PySpark, including data wrangling, feature engineering, distributed processing, and working with large-scale datasets.
• Solid knowledge of machine learning, predictive modeling, statistics, and probability, with experience using libraries or frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Practical experience with MLOps, including experiment tracking tools such as MLflow or Weights & Biases, CI/CD for ML models
• Strong experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.
• Experience working directly with external clients, gathering and translating business requirements into analytical objectives and communicating analytical findings and actionable recommendations.
• Understanding of Responsible AI, including model fairness, explainability, and bias mitigation, together with knowledge of LLMs and Generative AI and their application to analytical use cases.
• Proficiency with AI-assisted development tools such as Cursor, Copilot, or similar solutions as part of your development workflow.
• Fluent English, minimum C1 level.

BONUS POINTS IF YOU HAVE:

• Experience with Databricks and building NLP solutions or processing text data at scale.
• Hands-on experience with RAG pipelines, embeddings, or vector databases in analytical use cases.
• Experience with visualization solutions such as Power BI, Tableau, or Streamlit, containerization and API tooling such as Docker, FastAPI, or Flask, or contributions to open-source projects, research, or Kaggle competitions.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.