Data Scientist, Gen AI

The role holder will be responsible for building scalable AI systems and contribute to the democratization of AI across Safaricom. They will deliver the use-cases identified, while also building data science capacity within organization and business clusters they support. The ideal candidate will be well versed with building AI systems especially GenAI. Responsibilities Below are the key skills and competencies required to be successful in this role: Automated AI Modelling: Ability to creatively solve business problems by building AI systems. Ability to Constructively disrupt current business practices using Generative AI (GenAI). Designing and developing scaled (Gen)AI solutions. Show a propensity to collaboratively work with the larger team in the AI tribe to productionize AI algorithms. Being able & willing to stretch yourself to work on other multiple data science projects. Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization Quantify improvements in business areas resulting from the use of algorithms and modelling through A/B testing Statistical & ML Modelling: Demonstrate competency in utilizing advanced statistical and machine learning methods and technologies to deliver best-in-class models to support risk decision making. Developing code and automated processes to manipulate high volume, high dimensional data sources, including alternative data, to extract informative patterns, perform exploratory analyses and engineer useful features. Ability to develop machine learning & deployment of models and algorithms from large volumes of structured and/or unstructured data in a commercial /consumer environment in order solve real business problems, taking account of user needs and technology and operational landscape Identifying new analytics trends and opportunities to drive the innovation agenda across business functions Programming Languages and Big Data Technologies: Along with a strong knowledge of Big Data Technologies, the candidate should have: Practical skills in GIT version control. Strong hands-on programming skills in Python. Knowledge of SQL, Hadoop/Hive, Spark, and/or Scala. Proficient in AI libraries in Python (e.g. H2O, SciPy and NLTK, PyTorch etc.) Familiar with leading visualisation tools (e.g. Tableau, Qliksense, QuickSight) Cloud computing, especially AWS Behavioural Competencies: Ability to work cross functional teams to translate business issues into potential analytics solutions Excellent communication skills with the ability to document solutions effectively. An analytical mindset to identify patterns and insights from data and business processes. The ability to collaborate with cross-functional teams to assess business needs and develop AI solutions. A self-driven and creative mindset to apply AI methods to solve real issues A problem-solving aptitude.

Safaricom is the leading provider of converged communication solutions in Kenya. In addition to providing a broad range of first-class products and services for Telephony, Broadband Internet and Financial services, Safaricom seeks to uplift the welfare of Kenyans through value-added services and support for community projects.