Data Scientist AI and Machine Learning Dubai, UAE

Glow Beauty On Demand; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading fintech company in Dubai is seeking a Lead Fraud Data Scientist to develop credit risk scorecards and lead a team. The ideal candidate should have 9 to 10 years of experience, a Master's in Data Science, and strong proficiency in Python and SQL. This role focuses on utilizing advanced analytics and machine learning to enhance data practices and drive decision-making.

Qualifications

• 9 - 10 years of experience in data science.
• Strong knowledge of AI-driven solutions.
• Experience in fintech preferred.

Responsibilities

• Lead development and deployment of data science use cases.
• Collaborate with stakeholders to enhance organizational capabilities.
• Mentor junior data scientists.

Skills

Python

SQL

Machine Learning

Data Analysis

Predictive Modeling

Data Visualization

Education

Master's in Data Science

Bachelor's Degree in Engineering

Tools

Power BI

Cloud Technologies

Job description

Overview

Lead development and deployment of data science use cases, leveraging AI and cloud technologies, while coaching junior data scientists and ensuring scalable analytics practices. Lead data science initiatives, advocate data-driven decision making, develop scalable models, and collaborate with stakeholders to enhance organizational capabilities. Design and implement complex models, conduct advanced analysis, collaborate with teams, and develop data science courses using programming languages like Python and R. Design and maintain data pipelines, optimize platforms, ensure data quality, and develop machine learning models using Python and cloud technologies. Design and deploy machine learning and AI models, analyze data, mentor junior scientists, and improve data practices with strong technical skills. Prepare and clean data for AI/ML model training, integrate machine learning models, and collaborate with teams to optimize solutions and insights. Design and optimize AI-driven solutions, integrate machine learning models, ensure data quality, and collaborate with teams to deliver innovative software solutions. Drive AI transformation and build machine learning models to optimize user experience, requiring expertise in data mining, predictive modeling, and deep learning techniques. Build and deploy machine learning models for fintech, analyze large datasets, and require a Master\'s in Data Science with strong Python and SQL skills. The role involves designing data models, leading statistical analysis projects, mentoring junior scientists, and utilizing machine learning for data-driven insights. Develop predictive models, conduct risk analysis, and mentor data scientists while utilizing Python, SQL, and machine learning techniques in financial services. Analyze complex data sets, develop predictive models, and provide insights using machine learning and statistical analysis while collaborating with teams. Lead data science projects, analyze large datasets, develop machine learning models, and communicate insights effectively while mentoring junior data scientists. Drive AI transformation through data analysis, machine learning, and product leadership to enhance user engagement and optimize decision making. Transform raw data into insights, develop predictive models, mentor junior scientists, and communicate complex results to stakeholders using machine learning techniques. Analyze large datasets, develop machine learning models, and collaborate with teams to provide data-driven insights and solutions. The role involves developing data models, building BI dashboards, conducting statistical analysis, and delivering actionable insights to drive business impact. Analyze complex data sets, develop predictive models, and provide insights using advanced statistical analysis and machine learning in a collaborative environment. Support business problem identification, develop predictive models, manage data extraction, and ensure data quality using machine learning algorithms and advanced analytics. Responsible for data analysis, process improvement, and sustainability metrics tracking using tools like Power BI and SQL, requiring a bachelor\'s degree in Engineering. Design and implement machine learning and generative AI systems, own data lifecycle, collaborate with teams, and deliver insights through analysis. Responsible for data science projects, building predictive models, and collaborating with stakeholders using Power BI and advanced analytics techniques. Seeking a Data Scientist with Microsoft Office proficiency, strong presentation skills, industry knowledge, and leadership qualities for professional development opportunities. Design and maintain dashboards, analyze KPIs, automate data pipelines, ensure data quality, and collaborate across functions using SQL and Python. Data Scientists will collaborate on generative AI solutions, conduct research, and engage with customers to optimize business outcomes using advanced algorithms. Transform complex data into actionable insights using statistical analysis and machine learning, while collaborating with teams to develop predictive models and data-driven solutions. Analyze large datasets, design machine learning models, and communicate insights; requires proficiency in Python or R, statistical analysis, and data visualization. Seeking a detail-oriented Data Scientist to deliver actionable insights, build predictive models, and ensure data integrity using SQL and Python. Responsible for developing credit risk scorecards using advanced analytics and machine learning, while leading a team and ensuring model compliance.

Note: The original text contains multiple standalone items and some potentially duplicate lines. This refined version preserves the core responsibilities and qualifications while presenting them in a consistent, job-focused format.

Responsibilities

• Lead development and deployment of data science use cases, leveraging AI and cloud technologies, while coaching junior data scientists and ensuring scalable analytics practices.
• Lead data science initiatives, advocate data-driven decision making, develop scalable models, and collaborate with stakeholders to enhance organizational capabilities.
• Design and implement complex models, conduct advanced analysis, collaborate with teams, and develop data science courses using programming languages like Python and R.
• Design and maintain data pipelines, optimize platforms, ensure data quality, and develop machine learning models using Python and cloud technologies.
• Design and deploy machine learning and AI models, analyze data, mentor junior scientists, and improve data practices with strong technical skills.
• Prepare and clean data for AI/ML model training, integrate machine learning models, and collaborate with teams to optimize solutions and insights.
• Prepare and clean data for artificial intelligence model training, integrate machine learning models, and collaborate with teams to optimize solutions.
• Design and optimize AI-driven solutions, integrate machine learning models, ensure data quality, and collaborate with teams to deliver innovative software solutions.
• Drive AI transformation and build machine learning models to optimize user experience, requiring expertise in data mining, predictive modeling, and deep learning techniques.
• Build and deploy machine learning models for fintech, analyze large datasets, and require a Master\'s in Data Science with strong Python and SQL skills.
• The role involves designing data models, leading statistical analysis projects, mentoring junior scientists, and utilizing machine learning for data-driven insights.
• Develop predictive models, conduct risk analysis, and mentor data scientists while utilizing Python, SQL, and machine learning techniques in financial services.
• Analyze complex data sets, develop predictive models, and provide insights using machine learning and statistical analysis while collaborating with teams.
• Lead data science projects, analyze large datasets, develop machine learning models, and communicate insights effectively while mentoring junior data scientists.
• Drive AI transformation through data analysis, machine learning, and product leadership to enhance user engagement and optimize decision making.
• Transform raw data into insights, develop predictive models, mentor junior scientists, and communicate complex results to stakeholders using machine learning techniques.
• Analyze large datasets, develop machine learning models, and collaborate with teams to provide data-driven insights and solutions.
• The role involves developing data models, building BI dashboards, conducting statistical analysis, and delivering actionable insights to drive business impact.
• Analyze complex data sets, develop predictive models, and provide insights using advanced statistical analysis and machine learning in a collaborative environment.
• Support business problem identification, develop predictive models, manage data extraction, and ensure data quality using machine learning algorithms and advanced analytics.
• Responsible for data analysis, process improvement, and sustainability metrics tracking using tools like Power BI and SQL, requiring a bachelor\'s degree in Engineering.
• Design and implement machine learning and generative AI systems, own data lifecycle, collaborate with teams, and deliver insights through analysis.
• Responsible for data science projects, building predictive models, and collaborating with stakeholders using Power BI and advanced analytics techniques.
• Seeking a Data Scientist with Microsoft Office proficiency, strong presentation skills, industry knowledge, and leadership qualities for professional development opportunities.
• Design and maintain dashboards, analyze KPIs, automate data pipelines, ensure data quality, and collaborate across functions using SQL and Python.
• Data Scientists will collaborate on generative AI solutions, conduct research, and engage with customers to optimize business outcomes using advanced algorithms.
• Transform complex data into actionable insights using statistical analysis and machine learning, while collaborating with teams to develop predictive models and data-driven solutions.
• Analyze complex data, design machine learning models, and communicate insights; requires proficiency in Python or R, statistical analysis, and data visualization.
• Seeking a detail-oriented Data Scientist to deliver actionable insights, build predictive models, and ensure data integrity using SQL and Python.
• Responsible for developing credit risk scorecards using advanced analytics and machine learning, while leading a team and ensuring model compliance.

Lead Fraud Data Scientist

Network International

• 9 - 10 Years
• Dubai - United Arab Emirates

Responsible for developing credit risk scorecards using advanced analytics and machine learning, while leading a team and ensuring model compliance.

18 Sep

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