Search for jobs
Published
Published
Last 1 week
Last 30 days
Latest 24 hours
Industry
Seniority
Search for jobs
Published
Published
Profession
Profession
Industry
Seniority
Seniority
Information technology, software development, data Jobs for Mid-level in Africa
2 jobs found
Get personalised job alerts directly to your inbox!
Profession (Banking, microfinance, insurance, Mid-level)
Industry (Information technology, software development, data, Mid-level)
Agriculture, fishing, forestry,Automotive,Banking, microfinance, insurance,Computers, software development and services,Consulting, business support, auditing,Education, academic,Energy, utilities, environment,Engineering, architecture,Finance & FinTech,Financial Services,Manufacturing,Non-profit, social work,Retail, wholesale, FMCG,Telecommunications,Transportation, logistics, storage,
Seniority (Information technology, software development, data, Banking, microfinance, insurance)
© Fuzu Ltd
CIC Insurance Group
Banking + 2 more
Description
About Us
CIC Insurance Group is a leading insurance and financial services organisation with more than five decades of experience helping individuals, families, and organizations achieve financial security.
We have grown into a dynamic Group offering life, general, micro insurance, asset management, and investment solutions, with operations in Kenya, Uganda, South Sudan, and Malawi, and are listed on the Nairobi Securities Exchange.
Our tagline, “We Keep Our Word,” reflects our unwavering commitment to integrity, transparency, and delivering on our promises to our clients, partners, and communities.
CIC Group is passionate about innovation, digital transformation, and inclusive insurance solutions that meet the evolving needs of cooperatives, SMEs, corporates, and individuals. By joining us, you will be part of a team that is shaping the future of financial protection across Africa.
About the Role
Reporting to the Data & Analytics Manager, the Senior Data Scientist will be responsible for developing, deploying, and maintaining data analytics, data science, machine learning, and artificial intelligence solutions that support business decisions.
The role covers the full analytics lifecycle, from exploratory analysis and business intelligence reporting through to feature engineering, model building, deployment, and performance monitoring, with a working understanding of how the underlying data pipelines and warehouses are structured. The role will collaborate with colleagues across the Data & Analytics function and with other stakeholders to build data science and analytics solutions into products, services, customer propositions, and digital channels.
Key Responsibilities
- Perform exploratory data analysis to answer business questions, identify trends, and surface issues that need attention.
- Develop, validate, deploy, and maintain statistical, machine learning, and AI models across customer analytics, segmentation, retention, forecasting, risk, fraud, and optimisation use cases.
- Translate business and customer needs into analytical problems and data science solutions.
- Perform data exploration, feature engineering, model selection, validation, and performance monitoring.
- Build and maintain machine learning pipelines, and deploy solutions into business processes, products, and digital channels.
- Own end to end reporting work, from gathering requirements with business teams through to building dashboards, reports, and visualisations that support business decisions.
- Work with data engineering colleagues on data quality, pipeline structure, and warehouse design where it affects analytical or model work.
- Monitor model performance, data quality, and drift, and keep solutions documented, explainable, and aligned with governance requirements.
- Communicate findings and recommendations to technical and non-technical stakeholders.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative discipline from a recognised institution.
- Minimum of five (5) years of experience in Data Analytics, Business Intelligence, or Data Science.
- Comfortable working across the analytics stack, from data analysis and BI reporting to model building.
- Strong proficiency in R and/or Python, advanced SQL, and applied statistics, including inference, hypothesis testing, regression, and experimental design.
- Strong understanding of machine learning techniques and algorithms, including model selection, validation, and optimisation.
- Experience working with relational databases, data warehouses, and large datasets, including both structured and unstructured data.
- Experience building dashboards and reports using tools such as Power BI, Tableau, or equivalent.
- Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud is an added advantage.
- Strong analytical and problem solving skills.
Start hiring with Fuzu
Recruit better talent faster - on your own or with our support.
Explore recruitment platformJob search tips from Fuzu
Selected articles on cover letters, CV structure, and interview preparation.