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Data Scientist

Primary stack

PythonSQLMachine LearningPandasNumPyScikit-learnTensorFlowPyTorch

Nice to have's

DatabricksAzureAWSAIGoogle Cloud Storage

Job description

Description language:

About the Position

Data Scientist, 4+ years experience

IntelSol Recrutare | 18 September 2026

Client: EU Consultancy Company

Contract Duration: At least 12 months

Project No.: 001120826

We are looking for experienced Data Scientists to develop machine learning and advanced analytics solutions, turning complex data and business needs into measurable outcomes.

Responsibilities

  • Analyse data and identify trends, patterns, and business insights
  • Develop and improve machine learning and statistical models
  • Prepare data and perform feature engineering and model evaluation
  • Work with Python and SQL for data analysis and modelling
  • Collaborate with technical and business teams
  • Present findings and recommendations to stakeholders
  • Support the implementation and improvement of data science solutions

Requirements

Technical

  • At least 4 years of experience in Data Science or Machine Learning
  • Strong Python and SQL skills
  • Good knowledge of machine learning and statistical modelling
  • Experience with libraries such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar
  • Experience working with large datasets and modern data platforms
  • Ability to translate business needs into data science solutions

Education

  • University degree in Mathematics, Statistics, Data Science, or another related field

Others

  • Good English communication skills
  • Strong analytical and problem-solving skills
  • Attention to detail and ability to work with complex data and business requirements
  • Critical thinking and business-oriented mindset

Nice to Have

  • German language skills – B2/C1 level
  • Experience with Databricks, Spark, or PySpark
  • Experience with Azure, AWS, or Google Cloud
  • Knowledge of MLOps and model deployment
  • Experience with Generative AI or Large Language Models

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