Data Scientist - Credit Behaviours

New Day
City of London, England
10 months ago
Applications closed

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What will you be doing day-to-day?

  • Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data.
  • 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.

Your Skills and Experience

ESSENTIAL

  • 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.

DESIRABLE

  • MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics)
  • Experience within 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 DevOps/Implementation teams.

Your Personal Attributes

  • 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 & 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.

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