Data Science Manager

The Family Office Company BSC (c); Manama; On-site; BHD 30,000 - 45,000; Full time

Job summary

A financial services company in Bahrain is seeking a Data Science Manager to lead the development of personalized client experiences across digital platforms. This role focuses on implementing machine learning models for investment recommendations and engaging with cross-functional teams. Candidates should have extensive experience in data science, strong leadership skills, and knowledge of relevant tools like Python and TensorFlow. A Master’s or PhD in a related field is required.

Qualifications

• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Experience with data platforms and real-time data systems.

Responsibilities

• Lead the development of intelligent, data-driven client experiences.
• Design and implement machine learning models for personalized investment recommendations.
• Collaborate cross-functionally to embed data-driven personalization across all client touchpoints.

Skills

Data Science

Machine Learning

Python

SQL

Leadership

Data Analysis

Education

Master’s or PhD in Data Science, Machine Learning, Computer Science or related field

Tools

TensorFlow

scikit-learn

Databricks

AWS/GCP/Azure

Kafka

Job description

Job Summary

We are seeking the Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.

This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.

Responsibilities

• Define the personalization and recommendation strategy aligned with business goals and client experience vision.
• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.

Data Science & Modeling

• Design, build, and deploy ML/AI models for:
• Personalized investment recommendations
• Smart content curation
• Behavioral and predictive analytics
• Funnel optimization and conversion predictions
• Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
• Ensure model explainability, fairness, and compliance with relevant data privacy regulations.

Personalization Infrastructure

• Architect and oversee the personalization engine powering mobile, web, and CRM systems.
• Implement real-time data processing pipelines for adaptive personalization.
• Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.

Client-Centric Data Insights

• Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
• Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.

Key Attributes & Competencies

• Strong product sense with a deep understanding of client behavior in digital financial services.
• A passion for using data to improve lives and decision-making for HNW individuals.
• Strategic and hands-on: able to drive vision and execute technical implementation.
• Collaborative leadership and stakeholder communication skills.
• Highly analytical with strong attention to detail and data integrity.

Qualifications

• Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
• Background in fintech, wealth management, or e-commerce personalization is a strong plus