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Pramerica Limited

Principal Data Scientist [Director]

Pramerica Limited

  • Donegal
  • Not disclosed
  • Permanent full-time
  • Updated 13/10/2017
  • Brian Kelly
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Data Science Technical Leader


Personal skills
Pramerica, a subsidiary of Prudential Financial is looking for a seasoned technical Data Scientist to lead to join a growing team of Data Scientists. 
Pramerica is consistently rated among the best places to work in Ireland, and is also a proud winner of the Multinational Company of the year at DatSci Awards 2016.  
  • Are you good at math and statistics?
  • Do you love logical problem solving and intellectual challenges?
  • Do you like questioning people’s assumptions and have curiosity to know Why?
  • Are you passionate about data and the technology?
  • Do you think you have the focus and attention to detail but also the ability to see the big picture?
  • Are you excited by the environment of a start-up organization within the walls of a 140-year company? 
If so, we have a unique and exciting opportunity for you. As a data scientist, this is your chance to drive innovation, solve high impact business problems, promote data-driven decision-making and help prepare the company for the next 140 years.
The role requires a rare combination of deep and sophisticated analytical expertise; business acumen; strategic mind set; client, relationship, and project management; and a passion for building new capabilities, and teams. This is an exciting opportunity to be a part of a new strategic initiative that will evolve and grow over time. One of the primary responsibilities for this position includes building the framework for, as well as sourcing, leading and presenting forward-thinking, high-impact Data Analytics projects focused on supporting key strategic initiatives for Prudential's US businesses. This is a very hands-on role, with adequate opportunities to coach, mentor and develop junior team members.
• Work closely with Prudential businesses to identify and prioritize Data Analytics needs and plan and execute practical, high-impact projects and initiatives.
• Develop and maintain relationships with senior stakeholders and in-depth knowledge of the business success drivers, industry trends, regulatory issues, and the competitive marketplace.
• Translate business problems into detailed analytical solutions.
• Building best-in-class predictive models and decision tools to address business needs by leveraging state-of-the-art machine learning and statistical algorithms.
• Demonstrate and maintain in-depth knowledge of the business success drivers, industry trends, regulatory issues, and the competitive marketplace.
• Focus on arming business partners with fact-based decision making and enabling them to quickly and nimbly make changes, as appropriate, that may affect diverse business areas, from customer behavior to risk management, to pricing and other business strategies
• Communicate findings in to key stakeholders, leaders and team members from both technical and non-technical backgrounds.
• Keeping pace with developments in the analytics field and actively seeking out novel methodologies and technologies.
• Manage project plans, timelines, and client relationships to ensure projects are delivered with the highest quality, on time and within budget.
• Hire & develop a team of best-in-class analytics professionals; mentor junior staff; create learning & development opportunities.
Required Skills and Experience
• Expertise in statistical modeling techniques such as linear regression, logistic regression, generalized linear models, tree models (CART, MART), data visualization, cluster analysis, principal components and feature creation, validation.
• Programming experience with R/Python/SAS/SQL and/or other relevant languages (e.g. Java, Pig, Scala, C#).
• Ability to train, develop, and teach more junior data scientists.
• Well-developed written and oral communication skills, with ability to present and explain data to business managers, with fluency in Microsoft business applications (Word/PowerPoint/Excel).
• Project management experience.
• Some prior exposure to financial services or insurance industry desired.
• Highly motivated self-starter.
Desired Criteria
• Hands-on experience applying a wide variety of statistical machine learning techniques to real world problems spanning analysis, predictive modeling and optimization on structured and unstructured data.
• Experience with (near) real-time decision engines and big data platforms (e.g. Spark).
• Advanced degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline.
• A minimum of 5 years of relevant work experience in data analytics field including leading modeling projects and seeing them through to production.
• Financial services industry experience, with understanding of both retail and institutional businesses preferred.
• Demonstrated experience managing teams, budgets and schedules.

Ref: 921428
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Pramerica Limited

Pramerica Limited

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