Data Scientist with Python

LUXOFT; City of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A technology consulting firm in London seeks an experienced Data Scientist to develop and deploy machine learning solutions. You will be responsible for statistical analysis and building data pipelines to support business insights. The ideal candidate has over 8 years of experience in Python and big data platforms, with strong visualization skills using tools like Tableau and Power BI. This role offers the opportunity to lead practices in machine learning and data science.

Qualifications

• 8+ years of experience in Data Science and strong expertise in Python.
• Ability to design and deploy machine learning models.
• Strong skills in statistical analysis and data mining.

Responsibilities

• Develop and deploy machine learning models.
• Perform statistical analysis on large datasets.
• Collaborate with engineers to deliver actionable insights.

Skills

Python

Machine Learning

Statistical Analysis

Big Data Platforms

Cloud Integration

Data Visualization

Tools

Tableau

Power BI

Scikit-learn

TensorFlow

PyTorch

Job description

Overview

Project description

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.

Qualifications

• Must have at least 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