complex real-world problems Drive innovation in fraud analytics, data engineering, and AI applications What You Bring Proven experience in Java or a similar OOP stack (e.g., C#, Kotlin, Scala) Strong grasp of REST APIs, microservices, and containerisation (Docker/Kubernetes) Agile mindset with strong software engineering fundamentals Passion for innovation, learning, and leading by example Familiarity with DevOps tools More ❯
GitHub proficiency Strong organizational, analytical, problem-solving, and communication skills Comfort working with remote teams and distributed delivery models Additional skills that are a plus: Programming languages such as Scala, Rust, Go, Angular, React, Kotlin Database management with PostgreSQL Experience with ElasticSearch, observability tools like Grafana and Prometheus What this role can offer Opportunity to deepen understanding of AI and More ❯
d love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with More ❯
d love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with More ❯
candidate should have experience in cleaning and transforming datasets for analysis. They should also be familiar with a range of tools including: Alteryx DataRobot SAS Databricks SPSS R Python Scala Java Spark In addition, exposure to data visualization platforms such as Tableau or Power BI would be beneficial. A solid understanding of machine learning concepts is also important for this More ❯
