Data Scientist - Credit Behaviours

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Data Scientist – Credit Behaviours role focused on applying statistical and machine learning techniques to identify trends and relationships in data, sourcing and prototyping data to create value for New Day and customers, and governance throughout model lifecycle.

• Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data.
• Harvest, wrangle and prototype new data sources internally and externally to New Day to create new value for New Day 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 New Day 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.

• At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics).
• Proficiency in statistical data modelling techniques.
• Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc.
• Good SQL/data manipulation skills required including cleaning and managing data.
• Experience in data visualisation and communication.
• Experience with working with raw datasets and perform data wrangling pre-modelling.
• Analytical and problem-solving skills.

• At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics).
• Proficiency in statistical data modelling techniques.
• Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc.
• Good SQL/data manipulation skills required including cleaning and managing data.
• Experience in data visualisation and communication.
• Experience with working with raw datasets and perform data wrangling pre-modelling.
• Analytical and problem-solving skills.

• MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics).
• Experience with in a regulated financial services organization.
• Ability to present sophisticated findings clearly, adapting the level of detail to the audience.
• Experience in supporting model deployment and working with Dev Ops/Implementation teams.

• Self-motivated, comfortable working in a fast-paced environment where priorities evolve.
• Honest and hardworking with a will to learn as well as develop others.
• Strong sense of accountability and ownership, with great organizational, planning and time management skills.
• Passionate about modelling and techniques to drive value from data.
• Personable with excellent interpersonal and written communication skills.
• Ability to build strong and effective working relationships with people across all levels of the organisation.
• Ability to embrace company culture and embed into day-to-day interactions.
• Great team spirit, supporting team and colleagues on tasks big and small.

• Permanent, Full-time
• Location:
  
  London, England, United Kingdom

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