Senior Data Scientist (FinTech - Unsecured Loans) at Black Pen Recruitment

Job Summary

• A talented Senior Data Scientist to join our team. 
• The team consists of innovators and builders with domain expertise in the lending space.
• They share a determination to continue leveraging data driven approaches to problem solving by building products that the market needs and API integrations that drive value across the board.

Responsibilities

• Development of machine learning models and recommendation systems for various areas of the business on the Big Data Platform
• Development of prototype code in e.g. PySpark for automated training and scoring of the machine learning models
• Machine Learning Model performance tracking and reporting using e.g. Qlik
• Uses data visualisation to engage audience in a compelling way, enabling effective storytelling
• Delivers key packages of work, on time and in a collaborative manner to meet the needs of business customers
• Works in partnership with Big Data Engineering for data ingestion to support use cases
• Works in partnership with Big Data Production Data Engineering for model automation and productionisation
• Contributes to the development of self and others across the global analytics community, ensuring Advanced Analytics is always evolving and at the cutting edge.

Requirements

• Bachelor's or Master's Degree in quantitative fields like Data Science Mathematics, Engineering, Statistics, Computer Science, Artificial Intelligence or related fields
• 4 - 7 years experience as a data scientist
• Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL)
• Proficiency in Python
• Expertise in major machine learning modelling libraries (e.g., H2O, scikit-learn,
• PyTorch) and techniques (e.g. random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting)
• Experience in digital data sets, e.g., social listening, social network analysis)
• Familiarity with visualisation tools (e.g. Tableau, Qlik, D3)
• Exposure/interest in machine learning
• Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical and machine learning modelling expertise)
• Experience manipulating and analysing large and complex datasets
• Experience in visualisation, creating graphical static and interactive displays of data that clearly communicate insight (preferred)
• Experience in telecommunication network principles (preferred)
• Good interpersonal communication and presentation skills
• Ability to work in a fast-paced environment across multinational functional teams
• Analytical and expansive thinking with a strong desire to deliver and develop.