Senior Data Scientist

September 30

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Worldpay

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Technology • Payment Systems • Alternative Payments • Risk Management • Currency Exchange

5001 - 10000

Description

• Collaborate with business partners to understand and document requirements with specific use cases. • Data analysis through collecting, processing, and analyzing large data sets from various sources across the business. • Identify and evaluate new data sources (internal and external) to support and drive improvements in predictive models. • Utilize advanced data analytics, statistical analysis, hypothesis testing and develop machine learning algorithms to provide business value from data products. • Implement and deploy models and ML algorithms into a production environment with all the necessary controls in place. • Create data visualizations and dashboards to communicate findings to stakeholders. • Stay up-to-date with the latest trends and technologies in data science and machine learning. • Ensure data quality and integrity throughout the data lifecycle, developing reusable patterns.

Requirements

• Strong knowledge in data science theory, machine learning, artificial intelligence, statistical modelling, data visualization, and data analysis. • Experience with data preparation, cleansing, feature engineering and modelling. • Excellent programming skills, preferably in Python. • Solid understanding of databases architecture and SQL language. • Experience in delivering within cloud based data platforms. • Experience with AWS, Snowflake and Databrick plus other cloud-based environment and tools. • Experience working in Agile cross-functional teams in a project-based environment. • Excellent verbal and written communication skills to technical and non-technical audiences of various levels in the organization. • Excellent analytical, decision-making and problem-solving skills. • Aware of DevOps and MLOps best practices, and hands-on experience with automation, Github, Docker, CI/CD. • Masters degree with 1 years of data science experience or PhD in Applied Mathematics, Engineering or Computer Science or the equivalent combination of education, training, and work experience.

Benefits

• A competitive salary and benefits. • Time to support charities and give back to your community. • Parental leave policy. • Global recognition platform. • Virgin Pulse access. • Global employee assistance program.