Data Scientist

at  Unifi Recruitment

JOB ADVERT SUMMARY

Unifi is a fast-growing finance and technology company operating in Zambia, South Africa, Uganda and Kenya.
Unifi delivers personal lending products through online, mobile phone and branch channels. The company is
well supported by strong shareholders and a board of directors with vast experience in entrepreneurship and
lending.
Unifi is recruiting a new Data Scientist with experience in Python, SAS, Google Looker and BigQuery to join our
team. The ideal candidate will be responsible for analyzing complex data sets and creating insightful
visualizations to help our organization make data-driven decisions. They will also work closely with
stakeholders to understand their requirements and develop solutions that meet their needs. Be a proficient
specialist who applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable
insights.
The ideal candidate must be analytically adept, self-driven, able to flourish in an unstructured management
environment and have a passion for African business. A healthy spirit of adventure and sense of humour would
be helpful.
As a Data Scientist, you will play a critical role in collecting, analyzing, and interpreting data to
drive informed decision-making within our organization. You will be responsible for extracting insights,
identifying trends, and presenting findings to key stakeholders. Your work will contribute to improving
operational efficiency, optimizing business processes, and enhancing overall performance.

MINIMUM REQUIREMENTS

• Bachelor’s or master’s degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, DataAnalytics/Science);
• Proven experience as a Data Scientist or similar role win min experience of 3+ years;
• Proficiency in data analysis tools GCP (Google Cloud Platform), Google Big Query, SAS, SQL, Python, Rand data visualization tools Google Looker;
• Strong analytical and problem-solving skills with a keen attention to detail;
• Ability to handle and analyse large datasets efficiently;
• Experience with statistical analysis techniques and data modelling;
• Excellent communication and presentation skills;
• Proficiency in Microsoft Excel and other data manipulation tools;
• Familiarity with data governance principles and best practices;
• Knowledge of data privacy regulations and compliance standards is a plus.