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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