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Data Science Specialist
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**A Data Science Specialist** is meant to manage, analyze, and summarize the information innovatively, and we are looking for such an expert for our partner. The Data Since Specialist will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different models and analytical solutions.
**Responsibilities**:
**Policies, Processes & Procedures**
- Recommends improvements to departmental policy and directs the implementation of procedures and controls covering all areas of EBIA activity so that all relevant procedural/legislative requirements are fulfilled while delivering a quality, cost-effective service to customers
**Day-to-day operations**
- Perform the day-to-day activities of the Modelling & Data mining department and ensure that work processes are implemented as designed and comply with established policies, processes, and procedures
**Modelling & Data Science Management**
- Work with organizational stakeholders to identify opportunities for leveraging company data to drive business solutions.
- Work with stakeholders to define their Business and strategy requirements and translate them into analytical and technical requirements.
- Mine and analyze data from company databases to optimize product development, marketing techniques, and business strategies.
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
- Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop the bank A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Conduct adequate research, analysis, and studies to leverage support and assistance from different departments and users.
- Develop, implement, and maintain Data mining models.
- Support all Customer Strategies and initiatives by providing insights for (Customer Intelligence - Marketing Optimization, Segmentation, Profiling, Loyalty, Retention, Profitability, and Risk Management for Basel II requirements, Credit Scorecard, AML, and Fraud Prevention).
- Participate in the mission of improving the data quality and EDW adoption
- Perform detailed data analysis on complex business questions using different sources of information and provide written or verbal reports to internal users to drive business decision-making and assess strategy performance
- Help internal users to set up analytical reports and dashboards that will meet their business requirements
- Participate in enhancing the adoption of Data mining initiatives in the Bank
- Provide guidance and consultancy on using Analytical and Data mining tools
- Deliver or participate in presentations on new products/services, ongoing process improvement efforts, and/or operational initiatives
- Collaborate with the Business Data Management team to adapt and improve processes and capabilities to meet business objectives, including database development initiatives
- Assess and validate data
- Examine overall customer behavior and, through analysis, provide recommendations to improve the customer experience.
- Participate in various stages of insight deployment related to customer communications, promotions, assortment, and pricing.
- Provide advice on campaign design, particularly the use of control groups, and produce post-analysis
- Guide to contact management.
- Guide use of the Customer Insight database with business users through ongoing communication and training
- Participate in maintaining the metadata dictionary’s contents and add new contributions to it. Help to develop meaningful metrics and targets and measure actual Bank results
- Train stakeholders and other members of the team on how to effectively access and use the analytical reports
**Communication and Transfer of Knowledge**
- Collaborates with the business units to gather their Modelling & Data mining requirements, understands their business objectives, and develops a close working relationship with them
- Ensure that gained knowledge is distributed among Data Mining team members as well as other BIM members whenever required.
- Assess and help team members leverage their knowledge to higher levels utilizing expert knowledge and available BI tools.
**Continuous Improvement**
- Contributes to the identification of opportunities for continuous improvement of processes and practices taking into account ‘international best practice’, improvement of business processes, cost reduction, and productivity improvement
- Explore new technologies and methods and improve the bank’s implemented models accordingly
**Reporting**
- Help internal users set up analytical reports and dashboards to meet their business requirements
- Train stakeholders and other members of the team on how to effectivel
