Mid Data Science (Data&AI)

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MidZdalnie·WarszawaFull-time

#475952·Dodano wczoraj·2

Źródło: Accenture

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Tech Stack / Keywords

Python PySparkMLOpsMLflow LLMs GenAI AWS Azure GCP Databricks

Podsumowanie oferty

As a Data Scientist, you will build machine learning models and analytical solutions for enterprise clients, turning complex data into actionable insights and intelligent products. You will also use GenAI and LLMs to augment data science workflows, working across data exploration, model training, evaluation, and deployment.

Wymagania

3+ years of relevant professional experience in Data Science, Machine Learning, or Data Engineering.
Strong Python skills and practical experience with PySpark and distributed data processing.
A solid foundation in machine learning, predictive modeling, statistics, probability, data wrangling, and feature engineering.
Experience with at least one ML framework: scikit-learn, XGBoost, PyTorch, or TensorFlow.
Hands-on experience with MLOps, including experiment tracking tools such as MLflow or Weights & Biases, and CI/CD practices for ML models.
Strong experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.
Familiarity with LLMs and Generative AI in analytical scenarios, and proficiency with AI-assisted development tools such as Cursor or Copilot.
A Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Data Science, or another related technical field.
Good command of English at B2+ level.

Nice to have:

Experience with Databricks and/or building NLP solutions and processing text data at scale.
Hands-on experience with RAG pipelines, embeddings, or vector databases, particularly for analytical use cases.
Experience with data visualization tools such as Power BI, Tableau, or Streamlit; containerization/API technologies such as Docker, FastAPI, or Flask; Responsible AI practices; or contributions to open-source projects, published research, or Kaggle competitions.

Obowiązki

Build and deploy machine learning models and analytical solutions to solve 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.
Use GenAI and LLMs to augment data science workflows, including conversational analytics, Text-to-SQL, automated insight generation, and intelligent data exploration over enterprise datasets.
Translate business requirements into data science approaches, select suitable methods, validate assumptions, and communicate results to technical and non-technical stakeholders.
Collaborate with engineers, architects, and consultants on cross-functional project teams, contributing to solution design and technical direction.

Benefity

Individual support from a People Lead, a professional development path, and the possibility of a session with a Coach.
A training package covering soft, technical, and language training; access to e-learning platforms; a Gallup test; GenAI training; course co-financing; and certification.
Employee Assistance Program offering legal, financial, and psychological consultations.
Eligible employees participating in the employee share purchase plan can receive quarterly dividends if they own company shares.
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

Udziały pracownicze

Karta sportowa

Accenture

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