Data & Analytics Engineer, Xantura

• A degree in a quantitative or technical field such as Data Science, Computer Science, Maths, Engineering etc
• 2+ years’ professional experience in data and analytics, including exposure to data engineering, data science and data visualisation
• Proficiency in Python and SQL for data wrangling and analysis
• Core data science skillset, with experience in machine learning techniques
• Experience with relational databases (e.g., SQL Server or Oracle)
• Familiarity with tools like Power BI or Tableau to build clear, insightful dashboards
• Understanding of core machine learning concepts and techniques
• Experience writing clean, testable, traceable code using good QA practices
• Experience delivering technical work to clients, with strong attention to detail and ability to manage your own deadlines
• Strong analytical and problem-solving skills, with experience in techniques such as regression, correlation analysis, or EDA
• Clear communication skills, both written and verbal. Able to explain technical work to non-technical audiences
• A continuous improvement mindset, you look for opportunities to improve our tools, documentation, or ways of working
• A passion for social impact – you’re excited about what we’re doing and driven to help Xantura succeed

Desirable

• Data extraction - Support the client’s technical team to install IG Bridge, adapt scripts, address quality issues, ultimately leading to clean data extraction
• Data science - Configure existing predictive models to meet the client’s needs, apply descriptive analytics techniques to extract meaningful insight from client data, build simple proxy predictive models to demonstrate value early on
• Cohort building - Build preventative cohorts, test and adapt these with the client to optimise accuracy & efficacy
• Dashboards – Design, build and adapt dashboards to meet the client’s needs and tell them what they need to know in a clear, intuitive way
• Platform evolution – Feed innovations back into the core platform
• Technical project work - Own and deliver the technical components of deployments. Prioritise effectively, flag and resolve blockers early, and collaborate well across teams
• Problem solving and storytelling - Use your analytical skills to extract meaningful insights from data. Translate complex analysis into clear, actionable recommendations for clients
• Communication and stakeholder support - Explain technical topics in an accessible way to help clients understand value and progress. Support client upskilling by sharing knowledge and documentation
• Collaboration - Work closely with Business Consultants to deliver successful implementations and measure the impact