We are representing 3 leading companies offering 3 exceptional positions within the Financial Services and Transportation sectors. Each role provides unique opportunities for professional growth and meaningful impact, spanning areas such as Azure Cloud implementation, Digital Data Enablement, and technical leadership. These positions are ideal for accomplished professionals looking to advance their careers in dynamic, innovative environments
Digital Data Analytics Specialist l Leading Retail and Commercial bank l Up to 35k
- Manage digital projects’ analytics requirements via requirement gathering & analysis
- Develop tagging & data layer specifications for IT to implement tagging in digital journeys for data collection of digital behavior and transactions
- Supervise the test team to complete UAT on front-end digital data enablement
- Develop analytics dashboards for digital product teams in analyzing customer behavior & digital performance against respective project KPIs
- Prior experience working in Financial Services
Data Engineer l Transport Operator l Up to 40k
- Implement a scalable cloud-based data platform to enable ingestion, transformation, and storage of enterprise data across multiple sources
- Improve data consistency, reliability, and controlled accessibility by automating ETL/ELT workflows
- 3+ years of professional experience related to a data platform, with experienced in Databricks and Power BI
- Understanding of data lifecycle and governance principles (e.g., data quality, lineage, security, and compliance)
Senior Data Scientist l Global Payments Technology Company
- Lead end-to-end client engagement, overseeing every stage from initial pitch and proposal development through project execution to final delivery and post-project follow-up
- Defining a detailed analytic scope and methodology, and creating an analytic plan
- Minimum of 8 years of analytical experience in applying statistical solutions to business problems
- Prior experience working in a FI or payment business/analytics department
- Hands-on experience with one or more data analytics/programming tools such as SQL/SAS/ /Python
- Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, etc., Evolutionary Algorithms (e.g., Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.