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Data Scientist Associate

2 months ago

Belfast, United Kingdom SEOPA LTD Full time
About the Role

We are seeking an experienced Data Scientist to join our team at Seopa Ltd. As an Associate Data Scientist, you will play a key role in driving business growth through data-driven insights and solutions.

Key Responsibilities
  • Maintain database integrity by overseeing existing database systems and ETL/TEL solutions.
  • Diagnose and resolve issues related to data integration by working with development teams.
  • Conduct research on competitor practices and present recommendations to stakeholders.
  • Consult on data-centric requirements to optimize product and system update delivery.
Requirements
  • Collect and structure meaningful data for various projects.
  • Experience with MySQL, MS Server SQL, and other relational database languages.
  • Experience with Python or Rust.
  • Excellent analytical and data interpretation skills.
  • Excellent skills in MS Office, particularly Excel.
  • Experience in statistical analysis methods.
What We Offer
  • Private medical insurance.
  • Life assurance.
  • Pension and annual pension review.
  • Health cashback plan.
  • Hybrid working arrangements.
  • Additional service-related holidays.
  • Option to buy additional holidays.
  • Cycle to work scheme.
  • Full access to online learning system.
  • Recognition bonuses.
About Seopa Ltd

Seopa Ltd is a leading fintech company based in Belfast, Northern Ireland. We specialize in creating and hosting insurance, finance, and utility price comparison engines. Our systems enable insurance providers to secure business within their target markets and empower consumers to easily identify providers who meet their financial product requirements at market-leading prices.

We have received numerous awards, including six consecutive Deloitte Technology Fast 50 awards and several prestigious Deloitte Best Managed Companies awards. Our success is built on our innovative and strategic approach, which maximizes productivity and value for money while minimizing waste and duplication.