Data Scientist

About Neostats Analytics

NeoStats is a new-age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.

About the Job

We are seeking a highly skilled Data Scientist with a strong background in the credit card domain to join our dynamic team in Dubai. This is an exciting opportunity to work onsite with a fast-paced and growing startup, where you will leverage your expertise in Python, SAS, and advanced analytics to drive impactful business decisions. You will play a pivotal role in analyzing large datasets, developing predictive models, and delivering actionable insights to stakeholders across product, risk, and marketing teams.

Responsibilities

• Develop and implement statistical models and machine learning algorithms using Python and SAS.
• Analyze large datasets related to credit card usage, fraud detection, customer behavior, and risk modeling.
• Work closely with cross-functional teams including product, risk, and marketing to deliver data-driven insights.
• Perform data extraction, cleaning, transformation, and visualization to prepare datasets for analysis.
• Design and evaluate A/B tests to support product and marketing decisions.
• Build and maintain dashboards, reports, and presentations to communicate findings effectively to stakeholders.
• Apply statistical modeling techniques such as regression, decision trees, and clustering to solve business problems.
• Utilize SAS (Base, Macro, Enterprise Miner) and Python libraries (Pandas, NumPy, scikit-learn) for advanced analytics.
• Conduct customer segmentation analysis to identify patterns and trends in credit card usage.
• Collaborate with risk teams to enhance credit risk analytics and collections strategies.
• Stay updated with the latest advancements in data science, machine learning, and analytics tools.

Requirements

• 5+ years of hands-on experience in Data Science or Advanced Analytics.
• Proficient in SAS (Base, Macro, Enterprise Miner) and Python (Pandas, NumPy, scikit-learn, etc.).
• Strong background in the credit card domain, including risk analytics, collections, and customer segmentation.
• Solid understanding of statistical modeling techniques (e.g., regression, decision trees, clustering).
• Experience working with large-scale structured and unstructured datasets.
• Familiarity with SQL for data querying and manipulation.
• Strong communication and stakeholder management skills.

Preferred qualifications

• Experience in financial services or banking analytics.
• Knowledge of cloud platforms (AWS/GCP/Azure) is a plus.
• Master’s/Bachelor’s degree in Statistics, Computer Science, Economics, or related field.

What we offer

• Competitive Salary and Benefits.
• Opportunity to be part of a fast-paced and growing startup. Grow your career with the company.
• Ownership - You will own your initiative and be given specific responsibilities.
• Continuous coaching & mentoring – You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.
• Dynamic and respectful work environment – we truly value you.
• Join NeoStats Analytics and be part of a team that’s shaping the future of data-driven decision-making!