Data Scientist - Credit Behaviours

New Day; London; On-site; GBP 40,000 - 65,000; Full time

Job summary

A leading company in the credit industry is looking for a Data Scientist to analyze data and create value through advanced statistical techniques. You will work in a collaborative, fast-paced environment, leveraging your analytical skills and data science experience to support decision-making and drive business insights.

Qualifications

• Proficiency in Python with statistics/machine learning libraries.
• Experience in data wrangling and manipulation.
• Experience in presenting data findings clearly.

Responsibilities

• Use statistical and machine learning techniques to analyze data.
• Govern models through their lifecycle from conception to monitoring.
• Provide detailed data science outputs to senior managers.

Skills

Statistical data modeling techniques

Python

SQL

Data visualization

Analytical skills

Education

BSc or higher in data science or related field

MSc or PhD in Data Science related field

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