Data Science Manager
1 week ago
Role Overview:
Our client is entering a new phase where operational and commercial excellence are key to success. As part of their strategic vision, they are seeking a Data Science Manager to lead a team of data scientists and analysts in driving data-driven decision-making. This role involves developing machine learning models, managing data infrastructure, and transforming business objectives into actionable insights to build a successful fintech business.
What you will do:
- Responsible for driving the analytical, statistical, and programming interpretation of data to support decision making and drive business results.
- Support product teams with insights gained from analyzing company & customer data to provide business predictions, proposals, and recommendations to improve business outcomes.
- Leverage internal and, where applicable, external datasets to build and evolve, using "best practice" methodologies and statistical techniques.
- Accountable for the execution & building the next generation foundational BankTech data infrastructure and enable delivery of actionable insights to value generating outcomes.
What you need to have:
- Master's Degree in a Financial, Commerce, Statistical or related field.
- MBA or Masters.
- Understanding of emerging markets.
- Experience in ecommerce and electronic payment business.
- 8+ years of relevant work experience as a Data Engineer/ Data Scientist.
- Minimum of 2 years in a managerial/leadership role.
- At least 3 years' experience within a non-traditional FinTech, Banking or Financial Services Sector.
- Experience in Data Science and Data Analysis within banking, finance and/or telecommunications industry.
- Experience in Data Engineering within banking or financial services industry.
- Understanding of enterprise-scale systems and technologies used in data infrastructures.
- Experience of working in an Agile/DevOps environment.
- GitHub or GitLab experience for CI/CD.
- Consistent improvement CI/CD applications for collaborations and enhancement to drive develop once and deploy to many mindset through container repositories.
- Proficiency in working with Python and its relevant libraries SAS or R / Scala for data clean up and advanced data analytics.
- Working knowledge in Hadoop, Apache Spark and related Big Data technologies (MapReduce, PIG, HIVE).
- Demonstrated experience utilizing software tools to query and report data and being software agnostic.
- Highly proficient in database management systems like Postgres, Oracle, Mongo, MSSQL.
- Experience in data analysis and management, business performance management and/or reporting within the financial sector or banking industry.
- Experience working in a medium to large organization.
- Experience working across global locations/regions and have a grasp of political, social, infrastructure and integrity challenges.
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