Senior Data Science Consultant – Cards Marketing Analytics

Onepoint Consultants DWC- LLC; Qatar; On-site; QAR 325,000 - 374,000; Full time

Job summary

OnePoint Consultants DWC LLC in Qatar seeks a senior analytics consultant to lead predictive modelling, customer segmentation, and campaign analytics for a banking portfolio. You will work with marketing, risk and product teams to translate data insights into strategies that drive revenue growth and engage customers.

The role requires hands-on Python, SAS and SQL experience, plus strong stakeholder management. This is a 12-month onsite contract based in Qatar, with no remote work option.

Qualifications

• Bachelor's degree required in a related discipline.
• Master's degree preferred in Data Science or Analytics.
• Certifications in DS/ML or Python/SAS are advantageous.

Responsibilities

• Develop predictive models to identify customer targeting opportunities.
• Increase card spending and improve retention.
• Translate model outputs into actionable business recommendations.
• Identify high-value segments and optimize campaigns across channels.
• Monitor model performance and maintain quality dashboards.

Skills

Analytical thinking

Stakeholder management

Data storytelling

Problem solving

Education

Bachelor's degree in CS/Math/Statistics/Engineering/Finance/Economics

Master's in Data Science/Business Analytics/Statistics (preferred)

Certifications in DS/ML/Python/SAS (advantageous)

Tools

Python

SAS

SQL

Tableau

Power BI

Job description

Predictive Modelling Advanced Analytics

• Develop predictive models to identify customer targeting opportunities
• Increase card spending
• Improve retention and reduce customer churn
• Build and optimize propensity response churn cross-sell and upsell models
• Apply statistical modelling and machine learning techniques to identify customer behaviour and spending patterns
• Perform model validation performance monitoring and optimization
• Translate model outputs into actionable business recommendations

Customer Segmentation Portfolio Analytics

• Identify high-value low-engagement and high-potential customer segments
• Analyze customer spending behaviour transaction patterns and product usage
• Identify opportunities to improve card activation utilization spend growth and customer profitability
• Support customer lifecycle management strategies across acquisition activation engagement retention and attrition

Cards Marketing Campaign Analytics

• Analyze marketing campaign performance across customer segments products channels and transaction behaviour
• Develop data-driven customer targeting strategies for card marketing campaigns
• Measure campaign effectiveness conversion rates incremental spend and return on investment ROI
• Design test-and-learn frameworks including A B testing control groups and Champion Challenger strategies
• Provide recommendations to improve campaign effectiveness customer response and overall portfolio performance
• Support personalized marketing offer optimization and next-best-action strategies

Business Intelligence Data Analysis

• Analyze large banking datasets including customer profiles card transactions spending behaviour and campaign history
• Develop analytical dashboards reports and management presentations
• Identify business trends portfolio opportunities and potential revenue growth areas
• Monitor key performance indicators and provide insights to senior management
• Present complex analytical findings in a clear and commercially meaningful manner

Business Strategy Stakeholder Management

• Work closely with marketing product cards business risk and technology teams to understand business requirements
• Translate business objectives into analytical use cases and data science solutions
• Provide analytical recommendations to improve customer engagement card spending and portfolio profitability
• Collaborate with business stakeholders to implement data-driven marketing and portfolio strategiesEnsure analytical solutions are practical explainable and aligned with business objectives

Business Knowledge Mandatory

• Strong understanding of the credit and debit card business including card acquisition issuance activation usage spend growth retention and attrition
• Knowledge of card revenue drivers including interchange income interest income annual fees customer profitability and transaction economics
• Understanding of customer lifecycle management portfolio growth strategies cross-selling upselling and customer engagement
• Knowledge of card marketing campaigns customer targeting offer optimisation promotional strategies and campaign ROI
• Ability to identify business opportunities through customer behaviour spending patterns transaction trends and portfolio performance
• Understanding of card portfolio KPIs including active cards spend per card transaction volume activation rates utilisation attrition and customer lifetime value
• Knowledge of banking products customer segmentation credit risk portfolio profitability and risk-adjusted growth strategies
• Ability to translate business requirements into analytical solutions and actionable recommendations that drive revenue growth and improve customer engagement
• Minimum 7–8 years of experience in Data Science, Advanced Analytics or Analytics Consulting
• Strong banking experience, particularly in credit card and debit card analytics
• Hands‑on expertise in Python, SAS and SQL
• Strong experience in predictive modelling, statistical analysis and machine learning techniques
• Experience working with large banking datasets, including customer profiles, card transactions and campaign history
• Proficiency in customer segmentation, campaign analytics and portfolio analytics
• Understanding of model validation, performance tracking and optimization
• Experience with data visualization tools such as Tableau, Power BI or similar platforms
• Ability to develop analytical reports, dashboards and senior-level presentations
• Experience working with marketing, product, risk and data teams in a banking environment
• Strong analytical, problem-solving and stakeholder-management capabilities

Preferred Qualifications

• Experience in the Qatar or GCC banking market
• Current location in Qatar
• Experience in card lifecycle analytics, including acquisition, activation, usage, spend growth, retention and attrition
• Familiarity with campaign management platforms, CRM systems or marketing automation tools
• Experience with A/B testing, uplift modelling, next-best-action, offer optimisation or customer lifetime value models
• Knowledge of cloud-based data platforms and modern analytics environments
• Experience working directly with banking clients in a consulting or client-facing environment

Core Competencies

• Strong business acumen and understanding of card banking products
• Excellent analytical and structured problem-solving skills
• Ability to connect data insights with business objectives
• Strong communication and presentation skills
• Ability to engage with senior business stakeholders
• Ownership, accountability and timely delivery
• Ability to work independently in a client-facing consulting environment

Education & Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Finance, Economics or a related discipline
• Master's degree in Data Science, Business Analytics, Statistics or a related field is preferred
• Relevant certifications in Data Science, Machine Learning, Python, SAS or Analytics are advantageous

Budget – USD 8000

Notice Period – Max 30 -45 days

Start Date – January 2027

Location – Qatar

On contract for 12 months – onsite, no wfh or hybrid option