Data Scientist

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

What you’ll do

• Develop statistical models for the ‘credit reference agency’ part of the Equifax UK business e.g. Risk Navigator (credit bureau score), other risk scores, collections scores, fraud scores, etc.

• Utilize all available data sources to ensure all models are highly predictive and market leading

• Investigate and apply appropriate segmentation and sub-populations to maximize overall model performance

• Consider the creation of new characteristics and attributes to improve and maximize the predictive power of the model(s)

• Adopt established model development techniques and approaches (e.g. linear & logistic regression) as well as ‘champion/challenge’ new AI/Ml techniques

• Liaise with internal stakeholders in a timely and effective manner e.g. Product Managers, Model Risk Management, Pre-Sales, Consultancy, etc.

• Adhere to model development policies and procedures e.g. good/bad definitions, rationale for exclusions, model validation, etc.

• Produce suitable documentation alongside the statistical development of the model(s)

What experience you need

• 5+ years of extensive experience developing statistical models across the consumer lending cycle e.g. application scores/models, behavioral scores, collections & recoveries models, fraud, etc.

• Highly numerate with a relevant degree 2:1 or above (or equivalent)

• Use of relevant analytical tooling on a day-to-day basis e.g. Python, SAS, BigQuery, Jupyter Notebook, SQL, etc.

• Previous experience of developing regression models and scores - linear and logistic

• Day to day exposure to large/complex datasets, analytical tools, spreadsheets, analytical platforms, etc.

• Experience using credit bureau in statistical models - raw and summarised data

• Able to extract data from multiple platforms and create master datasets towards the development of statistical models

• A team player, effective communicator with the ability to work unsupervised

• Understanding of the regulatory landscape with respect to consumer credit and the potential impact to our clients (i.e. addressing the "why" behind our decision making)

• Day to day use of G-Suite tooling, GCP and VertexAI

• Experience of working in a credit reference agency and/or client environment e.g. Banking, Lending, Insurance, Public Sector, Utilities, etc.

• Use of alternative data such as open banking transactional data in statistical models

• Experience of working in a product development environment

• Experience with standard product testing procedures (UAT, OAT, regression, etc.)

• Experience of developing AI/ML based solutions and models

• Adoption of champion/challenger approaches and techniques

What could set you apart

• Extensive experience of developing statistical models

• Good communicator and team player

• Use of AI & ML approaches and techniques

• Strong track record of delivery and excellent time management skills

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:

IND-Pune-Equifax Analytics-PEC

Function:

Function - Data and Analytics

Schedule:

Full time