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Accenture

Advises businesses and runs their technology

Mid Data Scientist - Data&AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 3 years of relevant professional experience in Data Science, Machine Learning, or Data Engineering, with strong Python skills and practical experience with PySpark and distributed data processing.
  • A solid foundation in machine learning, predictive modeling, statistics, and probability, including experience with data wrangling and feature engineering, and experience with at least one machine learning framework such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
  • A strong understanding of statistics and probability theory.
  • Hands-on experience with MLOps, including experiment tracking tools such as MLflow or Weights & Biases and CI/CD practices for machine learning models.
  • Strong experience with cloud platforms such as AWS, Azure, or GCP for model deployment and data processing.
  • Familiarity with large language models and Generative AI and their use in analytical scenarios, together with proficiency in AI-assisted development tools such as Cursor, Copilot, or similar.
  • 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.

Responsibilities

  • Build and deploy machine learning models and analytical solutions that 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 Generative AI and large language models 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 by selecting appropriate methods, validating assumptions, and communicating 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.

Desired Qualifications

  • Experience with Databricks and/or building natural language processing solutions and processing text data at scale.
  • Hands-on experience with retrieval-augmented generation 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.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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