Data Scientist with Python

Luxoft
City of London
2 months ago
Applications closed

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Overview

We are seeking a highly experienced Data Scientist with deep expertise in Python and advanced machine learning techniques. You need to have a strong background in statistical analysis, big data platforms, and cloud integration, and you will be responsible for designing and deploying scalable data science solutions.

Responsibilities

  • Develop and deploy machine learning, deep learning, and predictive models.
  • Perform statistical analysis, data mining, and feature engineering on large datasets.
  • Build and optimize data pipelines and ETL workflows.
  • Collaborate with data engineers and business stakeholders to deliver actionable insights.
  • Create compelling data visualizations using tools like Tableau, Power BI, Matplotlib, or Plotly.
  • Implement MLOps practices, including CI/CD, model monitoring, and lifecycle management.
  • Mentor junior data scientists and contribute to team knowledge-sharing.
  • Stay current with trends in AI/ML and data science.
Skills

  • Must have
  • Minimum 8+ years of hands-on experience in Data Science with strong expertise in Python and libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch.
  • Proven ability to design, develop, and deploy machine learning, deep learning, and predictive models to solve complex business problems.
  • Strong background in statistical analysis, data mining, and feature engineering for large-scale structured and unstructured datasets.
  • Experience working with big data platforms (Spark, Hadoop) and integrating with cloud environments (AWS, Azure, GCP).
  • Proficiency in building data pipelines, ETL workflows, and collaborating with data engineers for scalable data solutions.
  • Expertise in data visualization and storytelling using Tableau, Power BI, Matplotlib, Seaborn, or Plotly to present insights effectively.
  • Strong knowledge of MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management.
  • Ability to engage with business stakeholders, gather requirements, and deliver actionable insights aligned with business goals.
  • Experience in mentoring junior data scientists/analysts, leading projects, and contributing to knowledge-sharing across teams.
  • Continuous learner with strong problem-solving, communication, and leadership skills, staying updated with the latest trends in AI/ML and data science.
Nice to have

N/A


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