Data Scientist

Key Skills

Big Data Technology, Apache Hadoop, Natural Language Processing (NLP), R Programming, Neural Networks, Mathematics, Name Entity Recognition-NET, BERT

Job Description

Fiserv is a global provider of financial services technology. Our clients include banks, credit unions, securities broker dealers, leasing and finance companies, and merchants. In Nenagh, we are building the next generation of commerce infrastructure, services and analytics to support continued growth of our business.

We are currently looking at expanding our technology centre and are seeking data scientists who want to work on core analytics products for deployment on a global scale. We want to talk with people who want to:

• Ask questions of the biggest datasets and processes.
• Design, build and deploy new high performance analytics services
• Use their deep knowledge of mathematics and statistics to find new knowledge in the data
• Apply the latest technologies in AI and machine learning
• Be passionate, impactful and Be first
• Join a team on a mission

Role Overview

The Data Scientist is a technical expert with deep statistics knowledge who will contribute to the design and implementation of high performance analytics solutions across our Big Data analytics landscape.

You will ensure that the powerful capabilities of analytics are available to the business and that the technical vision for analytics aligns with the business strategy in a way that will achieve the business objectives consistently and cost-effectively. You will provide statistical knowhow to a diverse team of data scientists, application developers and devops engineers. The approaches you develop and the analysis you carry out will help shape Fiserv’s next generation analytics capability. You will have the opportunity to work with one of the world’s largest financial datasets and use the most advanced analytics and machine learning approaches to deliver near real time predictions and recommendations. You will contribute to the technical vision and roadmap for analytics and will determine the capabilities required to deliver on our strategic priorities.

Primary Responsibilities

• Contribute to the design the next generation analytics platform and services that will support a range of future data driven products.
• Use advanced statistics to deliver accurate measures of the performance of AI in complex systems
• Collaborate with data scientists, developers and product teams to design, building and optimize innovative new products and services.
• Develop and optimize classifiers and recommenders using machine learning techniques, including feature engineering
• Conduct testing and evaluation of models and approaches, suggesting improvements and optimizations as well as exploring alternative approaches.
• Enrich local data with third party sources where available
• Apply best practice data governance, and ensure data is secured in all times and manners.
• Process, clean, and verify the integrity of data used for analysis
• Carry out ad-hoc analysis and presenting results in a clear manner
• Define ways of working so that complex algorithms developed by data science teams can be effectively productionised.
• Initiate and follow through on complex projects of both short and long term duration required
• Work directly with enterprise systems engineering and architects for integration and consolidation.
• Collaborate within the broader Fiserv organization on both a technology and business level.
• Support keeping teams current with technological developments within the industry
• Provide knowledge transfer associates across the organization
• Collaborate with others and work as part of a team
• Be a role model in terms of behaviours and actions that will proactively and positively support the culture that we are building.

Knowledge & Skills

The Data Scientist must a have strong understanding and previous hands-on working knowledge within a large enterprise environment with similar technology landscape as outlined below.

• Excellent oral, written, analytical, problem solving, governance and presentation skills
• At least 3 years’ experience working in a technology organisation
• At least 2 years’ experience with advanced statistics.
• Experience of working in high trust, high performing diverse technical teams with a people first mind-set and focus on a positive company culture
• Experience with processing and storage of large, complex data sets to satisfy functional and technical business requirements
• Experience of working with teams operating in an Agile environment
• Able to quickly assess new projects, propose high level solutions, understand project complexity & risks and map required capabilities.
• Strong knowledge of fintech and payments industry would be a distinct advantage
• Knowledge of software development processes and programming – Python and/or R
• Proficient in relational databases and SQL query development and data manipulation
• Experience with Python data science stack including sci-kit learn, pandas, numpy and tensorflow frameworks and libraries
• Experience with Business intelligence software platforms – Tableau, PowerBI, Qlik
• Experience with Integration of data science solutions into production systems, with appreciation for scalability and robustness of proposed approaches
• Experience with Big Data tools such as Hive, Impala, PySpark, Hadoop
• Appreciation of technical security as it applies to data

Education:

• Bachelor’s Degree in mathematics, engineering, computer science, physics or related discipline.
• Master’s or PhD in statistics or other mathematical discipline would be an advantage