Data Scientist, Gen AI, Job in Kenya

Job Title: Data Scientist, Gen AI Job Safaricom

Hiring Organization: Safaricom PLC
Location – Locality: Nairobi
Location – Region: Kenya
Industry: Telecommunication
Job Type: Full Time
Salary: KES
Date Posted: 05/29/2024

We are pleased to announce the Data Scientist, Gen AI vacancy in the AI tribe. In keeping with our current business needs, we are looking for a person who meets the criteria indicated below.

Brief Posting Description

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.


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.

Ability to provide effective leadership and guidance to junior data scientists

A problem-solving aptitude.

Experience & Education you should possess:

A degree in Statistics, Mathematics, Data Science, Computer Science, or a related field.

An MSc in a data science related discipline like Mathematics, Statistics, Computer Scientist or Engineering will be an added advantage.

5+ years of experience relevant to this role

Proven work experience in advanced Gen (AI) techniques, including prompt engineering, LLM implementation, and agent development, with a fundamental knowledge of inner workings.

Experience in cloud technologies, generative AI techniques, will be an added advantage.

Significant experience in machine learning & deployment of models and algorithms from large volumes of structured and/or unstructured data in a commercial /consumer environment

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