Data Scientist with R programming

📋 Description

• Data Scientist role focusing on R analytics and dashboards
• Build data models, statistical analyses, and visualizations
• Develop ML models with caret, randomForest, and xgboost
• Work with Databricks, data pipelines, and version control in Agile teams
• Create dashboards using ggplot2 and Shiny
• Collaborate with banks, insurers, and payment providers on transformational projects

🎯 Requirements

• Strong proficiency in R (RStudio, tidyverse: dplyr, tidyr)
• Data manipulation, statistical analysis, and visualization
• ML techniques: caret, randomForest, xgboost
• Experience with data visualization tools (ggplot2, Shiny dashboards)
• Understanding of statistics, probability, and data modeling concepts
• Familiarity with Databricks and data pipelines
• Git/version control and Agile/Scrum delivery
• Nice to have energy domain experience

🎁 Benefits

• Collaborative, inclusive culture
• Career advancement and growth opportunities
• Global client exposure across banking, energy and financial services sectors