Senior Data Scientist (FinTech - Unsecured Loans) at an AI-Driven Lending Platform - Black Pen Recruitment

Posted on Fri 04th Mar, 2022 - www.hotnigerianjobs.com --- (0 comments)

Black Pen Recruitment - Our client, an AI-Driven lending platform, is recruiting to fill the position below:

Job Title: Senior Data Scientist (FinTech - Unsecured Loans)

Location: Lagos

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.

Application Closing Date
Not Specified.

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