Our client, a leading organization in the financial sector, is currently seeking a Data Scientist to join their dynamic team on a permanent basis.

Key Responsibilities

• Model Development: Design and implement propensity-to-buy models and advanced analytical methods to optimize product operations. Support the development of new statistical models to recommend the next best actions for clients.
• Data Analysis: Generate insights to identify customer purchase patterns, create quick-win strategies, and drive actionable client-focused campaigns. Analyze customer behavior, define key performance indicators (KPIs), and assess campaign effectiveness.
• Data Visualization: Prepare clear and effective reports and presentations to translate data into actionable business strategies.
• Project Participation: Actively contribute to data-driven projects led by the Group Data team.

Job Requirements

• Education: Degree in Statistics, Mathematics, Economics, Engineering, Market Research, or related fields.
• Experience: 3 to 5 years of experience in creating advanced analytical models and analyzing large datasets, with a preference for experience in the financial sector (banking or consumer finance).
• Technical Skills:
  • Advanced knowledge of SAS and SQL.
  • Proficiency in machine learning languages like Python or R.
  • Familiarity with Power BI for data visualization, or similar.
  • Experience with relational databases (e.g., Teradata, SQL Server).
  • Knowledge of DWH tools such as Snowflake and Databricks would be nice to have.
  • Advanced user of MS Office (Excel, PowerPoint).
  • Desirable: Experience with ETL tools (Power Center, Stambia).
• Soft Skills: Analytical mindset with a results-driven focus, good communication and collaboration skills, proactive, flexible, with a passion for continuous improvement within the Data world.

Benefits

• Permanent contract directly with end client
• Competitive compensation package (up to 45k + benefits)
• Hybrid working policy (3 days at home / 2 days in the office, flexible)
• Flexible working hours
• 29 days of holiday a year
• Meal allowance
• Half days on Fridays and all Summer
• Stable and permanent role within a leading financial institution
• Opportunity to work on cutting-edge data science and analytics projects
• Professional development and training opportunities
• Collaborative and innovative work environment

If you are passionate about turning data into actionable insights and are eager to make a measurable impact in the financial sector, we want to hear from you. Apply now to become part of our client's forward-thinking team!