Senior Data Scientist - Banking

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

Job summary

An established industry player is seeking a Senior Data Scientist to drive innovative data solutions in the banking and financial services sector. This role requires advanced knowledge of statistical techniques and programming languages, combined with strong leadership and problem-solving skills. You will collaborate with stakeholders to optimize product development and marketing strategies, utilizing predictive modeling to enhance customer experiences. If you are passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• 7-8 years of experience in mathematical modeling in a business environment.
• Strong knowledge of supervised/unsupervised learning and deep learning.

Responsibilities

• Collaborate with stakeholders to leverage data for business solutions.
• Develop custom data models and algorithms for datasets.

Skills

Statistical and Data Mining Techniques

Python

C++

Java

Problem-Solving Skills

Communication Skills

Leadership Skills

Education

Bachelor's Degree in Quantitative Field

MBA or Advanced Degree

Tools

SQL

Job description

Graduate; MBA / Management Post Graduates

Job Function

Banking / Financial Services
IT - Software

Skillset

Data scientist, Bank

Preferred Jobseekers

Jobseekers from any country

Nair Systems is currently looking for a Senior Data Scientist for our UAE operations with the following skill set and terms & conditions.

Specialist Skills / Technical Knowledge Required for this role:

• Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)
• Knowledge of additional programming languages is a plus (Python, C++, Java)
• Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions
• Proven leadership skills with the ability to inspire others, build strong relationships, and create a followership; result-driven achievers
• Effective communication skills to convey analytical and technical content in an understandable manner

Previous experience required (if any):

• Bachelor's degree in a quantitative field like Computer Science, Engineering, Statistics, Mathematics, or related; an advanced degree is a strong plus
• 7-8 years of hands-on experience in mathematical modeling within a business environment
• Proven experience working with large datasets and relational databases (SQL)
• Strong knowledge of data science or decision science domains such as supervised/unsupervised learning, explainable AI, econometrics, deep learning, NLP, time series forecasting, deployment, causal inference, uplift modeling, and optimization
• Ability to describe analytic processes comprehensively from start to finish

Key Accountabilities of the role:

1. Collaborate with stakeholders to identify opportunities for leveraging data to drive business solutions
2. Mine and analyze data to optimize product development, marketing, and business strategies
3. Assess new data sources and gathering techniques for effectiveness and accuracy
4. Develop custom data models and algorithms for datasets
5. Use predictive modeling to enhance customer experiences, revenue, and other outcomes
6. Develop A/B testing frameworks and evaluate model quality
7. Coordinate with teams to implement models and monitor results
8. Create processes and tools to monitor model performance and data accuracy

Joining timeframe: 2 weeks to 1 month

If interested, please send your latest resume.

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