Actuarial Analyst or Data Scientist
Actuarial Analyst or Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Introduction
We are currently seeking an Actuarial Analyst/Data Scientist to join our reputable clients team.
Requirements:
- Minimum 2 years experience
- Bachelors degree in actuarial science Mathematical Statistics Data Science Computer Science or a related field
- Python Experience with machine learning libraries (ScikitLearn TensorFlow PyTorch XGBoost Hugging Face OpenCV).
- C# Strong understanding of ObjectOriented Programming (OOP) and clean coding principles.
- SQL Experience with data processing database management and query optimization.
- Git Version Control Experience in managing and collaborating on codebases.
- Power BI or similar visualization tools Experience in building realtime analytics dashboards
- LLMs and Computer Vision Models Working knowledge and experience developing and deploying large language models (ChatGPT Llama BERT) and imageprocessing models.
- Docker Experience with containerizing applications for scalable and efficient deployment
- Strong analytical and problemsolving skills with the ability to derive actionable insights from extremely large datasets.
- Solid grasp of OOP concepts software engineering principles and API development.
- Passion for applying AIdriven solutions including LLMs and computer vision applications in insurance.
- Selfmotivated and capable of working independently while collaborating effectively with crossfunctional teams.
- Strong communication skills with the ability to explain complex technical concepts to nontechnical stakeholders.
If you would like to apply for this position please send transcripts with applications.
Should you meet the requirements for this position please email your updated CV attached to alternatively contact Tumaini Consulting on or visit our website . Correspondence will only be conducted with short listed candidates. Should you not hear from us within 3 days please consider your application unsuccessful.
Required Experience:
IC
Employment Type
Full-Time
