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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