Senior Data Scientist - Banking

VAM Systems; Dubai; On-site; AED 80,000 - 120,000; Full time

Job summary

An established industry player is on the lookout for a Senior Data Scientist to join their dynamic team in the UAE. This role requires a blend of advanced statistical knowledge and programming skills, with a focus on solving complex business problems using data-driven insights. The ideal candidate will have extensive experience in mathematical modeling, a strong grasp of data science methodologies, and the ability to communicate findings effectively. If you're passionate about leveraging data to drive strategic decisions and have a knack for leadership, this opportunity is perfect for you.

Qualifications

• 8-10 years of hands-on experience in mathematical modeling.
• Strong knowledge in data science domains like NLP and deep learning.

Responsibilities

• Lead data science projects from start to finish.
• Analyze large datasets to identify trends and insights.

Skills

Statistical Techniques

Data Mining Techniques

Python

C

Java

Problem-Solving Skills

Leadership Skills

Communication Skills

Education

Bachelor's Degree in Quantitative Field

Advanced Degree

Tools

SQL

Job description

We are currently seeking a Senior Data Scientist for our UAE operations. Below are the required skills, experience, and terms & conditions:

Specialist Skills / Technical Knowledge:

1. Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)
2. Knowledge of additional programming languages (Python, C, Java) is a plus
3. Strong problem-solving and quantitative skills, with intellectual curiosity, including the ability to disaggregate issues, identify root causes, and recommend solutions
4. Proven leadership skills, with the ability to inspire others, build relationships, and create a followership; results-driven and achievement-oriented
5. Excellent communication skills, capable of conveying analytical and technical content clearly and understandably

Experience and Educational Requirements:

1. Bachelor's degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or a related field; an advanced degree is a strong plus
2. 8-10 years of hands-on experience in mathematical modeling within a business environment
3. Proven experience working with large datasets and relational databases (SQL)
4. Strong knowledge of one or more data science or decision science domains (e.g., supervised/unsupervised learning, explainable AI, econometrics, deep learning, NLP, time series forecasting, deployment, causal inference, uplift modeling, optimization)
5. Ability to articulate analytic processes from start to finish within your area of expertise

Additional Terms & Conditions:

• Joining timeframe: within 2 weeks, maximum 1 month
• Remote Work: No
• Employment Type: Full-time