Data Scientist

Role Overview

Ideally the successful candidate will have practical experience working on data-driven applications in a collaborative environment. You will be responsible for building scalable data apps in Python with a strong focus on code quality and following OOP design patterns. Our group has a start-up / entrepreneurial approach with an open mind to the most suitable tools, following best practices and with scope to explore. Our tech stack includes Python, Snowflake, Jupyter, Gitlab, Docker, Airflow and AWS. We work closely with the data engineering team to deliver high quality apps across the business.

Role Responsibilities

Build python apps to query, analyze and combine financial datasets using a variety of computational techniques

Build dashboards to monitor and visualize application data

Support and further development of existing applications

Build quality control tools to ensure data quality across products

Experience / Competences

Essential

Master's or PhD in data science / mathematics / engineering or a related field.

Demonstrate experience in a Python Developer role

Knowledge of SQL

Experience working with large, complex data sets

Demonstratable problem solving skills

Experience with airflow, snowflake, docker, CI / CD

Desired

Practical hands-on industry experiences working in a numerical / computational role

Works well with data engineering, product and sales teams in cross team collaborations

Experience with AWS / Azure / GCP cloud technologies

Experience with GenAI / machine learning

Special Requirements

Working to a US / UK time zone

Working to hybrid work set up - 3x / week onsite

Work during holidays and occasional overtime

Role Band & Level : Professional / 5

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