FNB Namibia is recruiting an Analytics Manager, to be based in Windhoek, Namibia.
Description
- We are seeking an experienced Analytics Manager specializing in AI to lead the design, development, and deployment of AI solutions that enable the business to manage risk, optimize operations, and unlock new growth opportunities
- The ideal candidate will partner closely with stakeholders across the organization to identify opportunities where AI can deliver impact, shape the AI roadmap, and drive enterprise-wide adoption of AI-powered solutions. This role will also be pivotal in building and mentoring a team of data scientists while fostering a culture of innovation
Duties
- Partners closely with business stakeholders to translate strategic priorities into actionable AI use cases
- Can design, build, and operationalize analytical models end-to-end, with hands-on expertise in generative AI as an advantage
- Brings technical depth in machine learning, deep learning, and MLOps practices
- Has strong coding proficiency in SAS, SAS Viya, or Python
- Communicates complex AI concepts effectively to both technical and non-technical stakeholders
- Enjoys mentoring data scientists, guiding them through advanced AI techniques, and supporting their career growth
- Embeds responsible AI and data governance into all solutions delivered
- Has a growth mindset, thrives on innovation, and is motivated to continuously learn and improve
- Is self-driven, proactive, and comfortable owning outcomes in a fast-paced environment
- To design, build and govern the application and implementation of predictive models to enable the business to manage risk and generate revenue
- Analyse and optimise processes, inform strategic decisions, monitoring implementation of business decisions, recommend enhancements through statistical modelling and data analysis
Requisites
- Hold a Bachelor’s degree in Statistics, Data Science, Computer Science, Informatics, Actuarial Science (Master’s/PhD advantageous)
- Have 3–5 years of relevant advanced analytics experience, including at least 2 years in a senior data science or AI role
- Have hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and generative AI frameworks
- Are proficient in Python and SQL, with strong coding skills (experience with SAS/SAS Viya advantageous)
- Have experience with MLOps practices, including model versioning, deployment, monitoring, retraining, and scaling AI into production
- Demonstrate strong problem-solving skills and a track record of converting data into tangible solutions that drive business impact
- Possess excellent communication and teamwork abilities
- Excel at stakeholder management
- Bring a passion for innovation and continuous learning
Notes
- Only shortlisted applicants will be contacted