Senior Data Scientist (Data&AI)

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SeniorZdalnie·WarszawaFull-time

#475951·Dodano wczoraj·0

Źródło: Accenture

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Tech Stack / Keywords

Python PySparkMLOpsMLflow AWS Azure GCP scikit-learnXGBoostPyTorch

Podsumowanie oferty

Design and develop machine learning and predictive analytics solutions for client business needs. Build scalable analytical solutions with Python, PySpark, and cloud platforms, and explore LLM and Generative AI use cases for analytics.

Wymagania

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, and 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 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.

Nice to 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.

Obowiązki

Design and develop machine learning and predictive analytics solutions, select modeling approaches, and validate results.
Work directly with clients to understand business needs, translate them into analytics objectives, communicate findings, and recommend actions.
Build scalable analytical solutions using Python, PySpark, cloud platforms, and ML frameworks; work with large datasets and apply feature engineering and statistical methods.
Apply MLOps practices, experiment tracking, model deployment, CI/CD, Responsible AI principles, and model explainability.
Explore how LLMs and Generative AI can support analytics use cases such as Text-to-SQL, data summarization, and conversational analytics.

Benefity

Permanent employment contract.
Individual support from a People Lead, a professional development path, and the possibility of a session with a Coach.
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.
Eligible employees can participate in the Employee Share Purchase Plan; employees who own company shares are eligible for quarterly dividends.
Paid employee referral program.
Private medical care and life insurance.
Access to the Worksmile platform, including products and services such as the Multisport card.

Szkolenia wewnętrzne

Dofinansowanie szkoleń

Kursy językowe

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Udziały pracownicze

Accenture

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