
Data Science Engineer
7 days ago
Job Summary: We are seeking a skilled Data Insights Developer to join our team. The ideal candidate will have experience in designing and delivering high-quality data-driven applications that support decision-making and unlock value across our business.
Key Responsibilities:
- Bulk Python applications to query, analyze, and combine large financial datasets using statistical and computational techniques.
- Develop robust quality control and monitoring tools to ensure data accuracy, integrity, and consistency across products and workflows.
- Create insightful dashboards and visualizations to track application performance, monitor key metrics, and communicate results to technical and non-technical stakeholders.
- Support the design, implementation, and deployment of machine learning models and predictive analytics to enhance data-driven decision-making.
- Partner with cross-functional teams to deliver scalable applications and solutions aligned with business needs.
Required Skills and Qualifications:
We are looking for candidates who have:
- An advanced degree in Data Science, Mathematics, Engineering, Computer Science, or related field.
- Hands-on experience in a numerical or computational role, preferably within financial services or technology.
- Demonstrated proficiency in Python, SQL, and cloud technologies (AWS or GCP).
- Exceptional collaboration and communication skills, with experience working cross-functionally across engineering, product, and commercial teams.
Benefits:
We offer:
- The opportunity to work with cutting-edge technologies and complex financial datasets.
- A collaborative, agile environment with colleagues across data engineering, product, and commercial teams.
- The freedom to explore new tools, adopt best practices, and help shape the future of our data strategy.
Others:
This is an exciting opportunity to grow your skills and expertise in data science and software development. If you are passionate about data analysis, problem-solving, and driving business outcomes, we encourage you to apply. We operate with a start-up mindset, giving you the freedom to innovate and make a real impact. Our tech stack includes Python, Snowflake, Jupyter, GitLab, Docker, Airflow, AWS, and GCP.
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