Data Scientist

Overview

Data Scientist – New Product Team. We’re building a brand-new team focused on developing innovative products in a high-impact area of the business. This is an exciting opportunity to join a founding team and shape the future of data-driven solutions at scale.

Responsibilities

• Combine, interrogate, and manipulate large datasets using big data tools such as Hadoop and Spark
• Develop and deploy machine learning models using Python and libraries like Pandas, scikit-learn, and PySpark
• Evaluate model performance using metrics such as AUC, recall, and others to align with business objectives
• Communicate directly with business stakeholders to translate statistical findings into actionable insights
• Build and optimize ETL pipelines for big data environments
• Create dashboards and visualizations using tools like Tableau, Power BI, or Domo
• Apply software engineering best practices including version control (Git) and code quality

Preferred Qualifications

• Experience deploying ML models in cloud-based production environments
• Hands-on experience with Databricks
• Exposure to Generative AI applications in commercial settings
• Background in the financial industry
• Strong foundation in software engineering, with a focus on testing, version control, and robust code development

Skills

• Programming: Python
• Big Data: Hadoop, Spark
• ML Libraries: scikit-learn, PySpark, Pandas
• BI Tools: Tableau, Power BI, Domo
• Cloud & MLOps: Databricks, cloud deployment
• Version Control: Git
• Strong communication and stakeholder engagement

Job Details

• Job Title: Data Scientist
• Location: London, UK
• Job Type: Contract

Trading as TEKsystems. Allegis Group Limited and related brands are part of Allegis Group. Privacy notices and data processing details are available at Allegis Group Online Privacy Notices.

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