Senior Data Scientist – Advanced Analytics
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Key skills for this role
About the Role
Fecundity Technologies is recruiting a Senior Data Scientist to design and deliver advanced analytics solutions across risk, prescriptive, and behavioral modeling. The role requires 5+ years of experience, blending technical depth with business acumen, and proficiency in machine learning.
Key Skills for This Role
Responsibilities
- Design and deliver end to end advanced analytics solutions across risk, prescriptive, and behavioral modeling domains
- Bridge the gap between business strategy and analytical execution, working closely with commercial stakeholders to frame problems and define success metrics
- Evolve rule based decision frameworks into intelligent, data driven systems that adapt and improve over time
- Develop customer intelligence capabilities including risk profiling, behavioral segmentation, and lifecycle modeling
- Incorporate diverse internal and external data signals to build a holistic view of customer and portfolio dynamics
- Champion model transparency and explainability, ensuring outputs drive confident decision making at all levels of the organization
- Support the build out of scalable analytics infrastructure and contribute to best practices in model governance and deployment
Requirements
- 5+ years of experience in advanced analytics or data science, ideally within a client facing, consulting, or enterprise environment
- A profile that blends technical depth with business acumen
- Demonstrated experience across the full analytics spectrum: descriptive, predictive, and prescriptive
- Strong ability to translate ambiguous business challenges into well structured analytical problems
- Proficiency in machine learning across supervised, unsupervised, and recommendation oriented problem types
- Experience working with heterogeneous, real world datasets
- Proven track record of stakeholder engagement and communicating analytical findings to senior, non technical audiences
- Familiarity with MLOps principles and production grade model delivery
Full Job Posting
About the Role
- We are recruiting a seasoned analytics professional who goes beyond conventional data science — someone who brings a strategic, consultative mindset alongside deep technical expertise.
Key Responsibilities
- Design and deliver end to end advanced analytics solutions across risk, prescriptive, and behavioral modeling domains.
- Bridge the gap between business strategy and analytical execution, working closely with commercial stakeholders to frame problems and define success metrics.
- Evolve rule based decision frameworks into intelligent, data driven systems that adapt and improve over time.
- Develop customer intelligence capabilities including risk profiling, behavioral segmentation, and lifecycle modeling.
- Incorporate diverse internal and external data signals to build a holistic view of customer and portfolio dynamics.
- Champion model transparency and explainability, ensuring outputs drive confident decision making at all levels of the organization.
- Support the build out of scalable analytics infrastructure and contribute to best practices in model governance and deployment.
What We're Looking For
- 5+ years of experience in advanced analytics or data science, ideally within a client facing, consulting, or enterprise environment.
- A profile that blends technical depth with business acumen — you are as comfortable in a boardroom as you are in a notebook.
- Demonstrated experience across the full analytics spectrum: descriptive, predictive, and prescriptive.
- Strong ability to translate ambiguous business challenges into well structured analytical problems.
- Proficiency in machine learning across supervised, unsupervised, and recommendation oriented problem types.
- Experience working with heterogeneous, real world datasets and navigating the complexity that comes with them.
- Proven track record of stakeholder engagement and communicating analytical findings to senior, non technical audiences.
- Familiarity with MLOps principles and production grade model delivery.
Nice to Have
- Prior exposure to asset management, real estate, or B2B portfolio environments.
- Experience with churn modeling, survival analysis, or customer lifetime value frameworks.
- Comfort working with external macroeconomic or market level data as analytical inputs.
- Advanced degree in a quantitative discipline.
Pay
- AED 17,000.00 AED 22,000.00 per month
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