Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As one of the original innovators in lending, credit, fraud, and spend analytics, Verisk Financial integrates one of the industry’s largest sets of data to help banks, financial regulators, retailers, and media companies grow their businesses. We combine data with predictive analytics to uncover new consumer and business insights and integrate this data with the most technologically advanced platforms.

Verisk Financial | Argus?is a leading provider of intelligence, decision support solutions, and advisory services to financial institutions across the global commerce ecosystem. Our clients include more than 50 top U.S., Canadian, and other international financial organizations, regulators, payment providers, merchants, and media. Argus is the leading source of segment-level portfolio management benchmarking data, analytics, models, and advisory services. We maximize value delivery to clients by combining proprietary data sets, cutting-edge software and analytic tools, domain expertise, and our unique results-oriented approach. Customers worldwide use our services for tailored data management solutions that include business intelligence platforms, profile views, mobile data solutions, enterprise database services, and fraud risk scoring algorithms for marketing, fraud, and risk mitigation. Our clients gain competitive advantage from our exclusive focus on leveraging global best-in-class analytics and methodologies to help achieve their business and regulatory objectives.?To learn more about Argus please visit us at:?www.argusinformation.com.?We are proud to be a part of the Verisk family of companies! 

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do.

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce. Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.

Job Description

What would your role involve?

• You would be applying analytic methodologies on a datasets that covers 95%+ of Credit Cards transactions in the US and UK to solve problems for our clients in the financial services industry.
• Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis
• Working with cutting-edge technology, and continuously developing new skills and capabilities
• Develop analytic solutions in support of increasing the efficiency of Verisk processes, enhancing Verisk’s current products, and developing new products.
• Lead projects and mentor junior analytic scientists
• Contribute to the development of the Verisk Analytic Community and be part of and contributing to a large, vibrant community.
• Incorporate technical innovations and new developments in relevant analytic fields
• Share important methodologies, advances, and best practices from your work among the whole analytics community

Specific Responsibilities

• The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.
• Design analytic solutions to identified problems
• Develop analytic solutions using machine learning techniques including Predictive Modelling, Text Mining.
• Ensure that solutions meet business requirements around accuracy, sophistication, and interpretability.
• Ensure that solution is delivered in a timely manner
• The incorporation of technical innovations and new developments in relevant analytic fields
• Keep abreast of technical innovations and new developments in relevant analytic fields
• Consider these innovations/new developments when designing analytic solutions

Success Criteria

• Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc
• Positive feedback on the support received from business partners
• Positive feedback from team members and leaders of the Verisk analytic community

Qualifications

• Bachelor’s in Engineering or Computer Science or Equivalent.
• Experience with relational databases & SQL.
• Experience with Python programming language preferred
• Experience with BI/visualization tools (ex: Tableau, Spotfire, Qlikview) is preferred
• Experience in AWS – S3, Redshift, Postgre SQL, Dynamo DB, EC2, Data Lake formation, AWS Glue, Step Functions, ECS, ECR,Lambda, Fargate, EMR, Cloud formation is nice to have
• Hadoop technology with Spark and Hive is nice to have
• Strong data management, analytical, communication and interpersonal skills.
• Demonstrated ability to work creatively and analytically.
• Ability to effectively communicate at different levels in and across the organization and to articulate to non-technical and technical audiences.