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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