Data Scientist - Credit Behaviours

New Day; London; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A leading financial services company in London is seeking a Data Scientist to analyze trends and data relationships using advanced statistical techniques. The ideal candidate will have a BSc in a relevant field, proficiency in Python and statistical modelling, and experience in data visualization. This role offers a hybrid work approach and encourages a collaborative environment.

Qualifications

• At least a BSc or higher university degree in a data science related field.
• Proficient in statistical data modelling techniques.
• Experience with raw datasets and data wrangling pre-modelling.

Responsibilities

• Use sophisticated statistical and machine learning techniques to identify trends in data.
• Provide quality and detailed data science outputs to senior managers.
• Support models throughout their lifecycle with required documentation.

Skills

Statistical data modelling

Proficiency in Python

Good SQL/data manipulation

Experience in data visualisation

Analytical skills

Education

BSc in Data Science or related field

Tools

Python libraries (scikit-learn, pandas, numpy)

Job description

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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Permanent