Data Science Senior Manager – Financial Services Industry

Data Science Senior Manager – Financial Services Industry

  • Anywhere

Company Name:-
Accenture

Job Location:-
Boston, MA

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionWe are:
Applied Intelligence, the people who love using data to tell a story.

We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI.

A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry.

We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services.

Want to join our crew of sharp analytical minds Visit us here to find out more about Applied Intelligence.

You are:
A data-driven scientist who knows how financial services companies work.

And you’ve got the know-how to deliver tools that turn data into information clients can use to help their company do more.

The work:Help C-suite executives use data analysis to grow their companiesFind ways to turn goals into products that use specific analytic tools to help clientsStay current with changes in analytics, AI, and the intelligent enterprise ecosystem and marketplaceBuild solid relations with C-suite clientsLead teams developing proposalsConvince senior clients and Accenture managers why new approaches will workLead projects, define their goals, manage budgets and risk and get buy in from senior clientsEncourage creative and innovative thinking on large and diverse teamsShare lessons and best practices across Accenture Applied IntelligenceFind the best way to handle Enterprise Data & Analytics projects
Here’s what you need:At least 7 years working with data, advanced analytics, AI, and strategic consulting in Financial ServicesAt least 7 years’ experience with customer engagement or risk management models and analyticsAt least 7 years using performance models that guided planning and decision makingAt least 7 years applying machine learning and AI (and how to use them in business analysis)
Bonus points if:You have working knowledge of advanced analytics and machine learning technologies and languages (SAS, R, Hadoop, etc.

)You have working knowledge of enterprise data tools and technologies including cloud platformsYou have working knowledge

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