Senior Data Scientist

What will you be doing day-to-day?

• Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data.
• Create high-quality project roadmaps to help shape the future of the team.
• Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers.
• Provide quality and detailed data science outputs, sharing and following up with as much detail as appropriate or requested by senior managers.
• Develop knowledge of all relevant data resources within NewDay and in the wider Credit Industry.
• Governance: support the models throughout their lifecycle from conception, development, implementation, testing and monitoring, with the required level of documentation to follow internal procedures and standards.

Skills and Experience

• University degree in a highly analytical discipline (data science, mathematics, physics, economics, etc.).
• Demonstrated experience designing, building and assisting in the deployment and monitoring of a diverse range of ML models in real-world business settings.
• Strong proficiency creating models in Python and a solid understanding of SQL for data extraction, transformation and analysis.
• Ability to present sophisticated and detailed findings clearly, adapting the level of detail to the audience, paired with strong interpersonal and written communication skills.
• Previous experience leading and mentoring others-either formal or informal-showing a willingness to support growth and development.
• Background in strategic planning, including developing roadmaps and proactively engaging with business stakeholders to scope and define projects.
• Knowledge of version control systems, particularly Git, with experience managing codebases and collaborating in team environments.
• Nice to haves: experience with Bayesian modelling and probabilistic programming libraries such as PyMC; proven ability in the creation and deployment of fraud detection models; familiarity with Amazon Sagemaker and its various features used in model development and deployment.

Your Personal Attributes

• Be self-motivated and comfortable working in a fast-paced environment where priorities evolve. • Have a strong sense of accountability and ownership, with great organizational, planning and time management skills.
• Have great team spirit, supporting team and colleagues on tasks big and small.
• Enthusiasm for exploring emerging/existing areas of ML, with a drive to bring fresh, innovative ideas and approaches into the business.

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Permanent
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