Summary
Date Posted: Thursday, July 11 2024, Base Salary: Not Disclosed

JOB DETAILS:
As one of the largest insurers and financial services companies in East Africa, we have decades of experience in helping discerning individuals protect and create their wealth. But that’s not all. We also keep an eye firmly on the future, using innovation to craft financial products and services that we know you need in today’s constantly changin...

Job Summary
Reporting to the Chief Accountant, the Data Analytics Officer is responsible for:-
• Assisting the department in analyzing data and metrics to identify trends that may be useful in decision making.
• Assisting in all phases of project work, including problem identification, formulation, model development, and deployment.

Roles and Responsibilities
• Analyze source data and data flows, working with structured and unstructured data to determine trends and assist in better decision-making.
• Support in the development and enhancements of Macros in configuring data sets to specified or standard reporting templates for aggregation from multi systems.
• Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends
• Apply AI and Machine Learning technology to solve complex, finance problems
• Analyze and visualize diverse sources of data, interpret results in a business context, and report results clearly and concisely
• Fulfill problem formulation and ML technique consulting requests in a timely manner
• Communicate and present analytical models to the department management
• Work collaboratively with different business partners and be able to present results in a clear and concise manner.
• Design, develop, and implement state-of-the-art AI techniques; reproduce and apply existing algorithms/methods/models for financial applications.
• Innovate and advance AI techniques; evaluate and improve AI algorithms/methods/models currently used.
• Assist with image data curation, processing, and analysis; create and maintain optimal data pipelines by conducting regular quality and reproducibility checks.
• Assist with developing and deploying AI educational workshops/seminar series for the finance staff to accelerate AI adoption.
• Communicate results/findings.

Requirements
Academic and Professional Qualifications and knowledge
• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics, Business or Physics
• Master’s degree and professional qualifications will be an added advantage.
• Exceptional skills in
• Machine Learning (ML)
• Artificial Intelligence (AI)
• Scalable Computing.

Experience
• 2+ years of experience in software development with Python/Scala/R/ C++/technical languages
• 1+ years working with Artificial Intelligence / Machine Learning tools and techniques
• 2+ years of experience with Machine Learning or Artificial Intelligence techniques in one or more of the following: advanced neural network architectures, regression, classification and clustering
• Demonstrated ability in the application of Machine Learning or AI in real-world settings with large scale data
• Experience with Deep Learning tools such as TensorFlow, PyTorch, or other frameworks on GPUs
• Experience with Agile software development
• Experience with parallel and distributed computing is a plus.

Core Technical competencies
• Experience building deep learning solutions for real-world applications, such as Computer Vision, Natural Language Processing, time-series analysis or anomaly detection
• Sound understanding of Financial Services/Insurance technologies.
• Excellent relationship management skills.
• Strong oral and written skills.

Work Hours: 8

Experience in Months: 24

Level of Education: Bachelor Degree

Job application procedure

Interested and qualified? Go to ICEA Lion Group on selfserviceuat.zohorecruit.com to apply



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