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, etc.).
• Demonstrated experience building and assisting in the deployment 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 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).
• Background in developing roadmaps and proactively engaging with business stakeholders to scope and define projects.
• Knowledge of version control systems, with experience managing codebases and collaborating in team environments.
• Nice to haves: experience with Bayesian modelling and probabilistic programming libraries such as PyMC;  creating fraud detection models; familiarity with Amazon Sagemaker.

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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