Data Scientist

IBM

Madrid, Spain

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As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

IBM Watson Financial Services Solutions help global top-tier Financial Services clients solve their most complex business and financial risk issues. As a Data Scientist in the Financial Crimes Insight Solutions you will play a key role within the exciting Financial Crimes Insight Solutions business. You will use your subject matter expertise and data science skills to design, develop and deploy data driven solutions from pre-sales to delivery.

As a member of the POC SWAT Team you will apply data science skills to ensure the successful delivery of various phases of POCs and solution implementations. Main responsibilities include: analysis of industrial-sized data sets to determine suitability for model building; identify opportunities for data augmentation; data staging and analysis; signal processing, pattern identification and feature extraction; variable creation and selection; experimentation with algorithms; performance analysis and presentation for communication with internal and external clients. The Data Scientist creates, tests and validates hypotheses for business problems. Able to work with experts in a business area; has some knowledge of business strategy/execution. Identifies approaches to improve the accuracy and effectiveness of analytics models. Understands and prepares data for analysis by applying knowledge of data sources and how they are gathered, stored and retrieved as well as manipulating large volumes of data. Able to effectively use key analytics tools to design, develop and apply appropriate statistical and mathematical techniques to solve business problems as well as to create repeatable, automated processes. Familiar with several data and big data tools. Creates visual presentations of analytics results and sometimes translates quantitative insights for a non-technical audience. Works with target users to deploy analytics solution.

In addition to broad and deep data and analytics skills, the data scientist has strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Incumbents also advise on and select the business problems that have the most value for the organization. Incumbents are typically not found within a functional area or tied to an individual project, but rather are experts who are able to address problems across the organization.

The role part of a combined technical and consulting team focused on pre-sales engineering and analytic deliverables. Travel required to client locations. Proficiency in Machine Learning, mathematics/statistics skill, in-depth understanding of predictive models, algorithms and use cases behind solutions, along with Financial crimes/ AML experience is desired. Technical familiarity with Python, R, Spark R, SPSS is required.

Required Professional and Technical Expertise

  • 8 years of experience in an Analytics, Consulting, or start-up environment
  • Analytic/scientific/Statisical programming skills (UNIX, Python, scripting, R, SAS, MATLAB, Spark, Py-Spark,Spark-NLP, SPSS)
  • Engineering instincts (tenacious attention to detail, systems, process, data and opportunities)
  • Analytics consulting or solution provider experience
  • Experience in Anomaly Detection, Clustering, Ensemble models, Deep Learning, Entity Resolution
  • Experience in AML, KYC, Fraud, Insurance, Financial Crimes
  • Knowledge and understanding of SQL, C++, JAVA, Scala, or Big Data infrastructure
  • Preferred Professional and Technical Expertise
  • Natural Language Processing(NLP), Natural Language Generation(NLG)
  • Graph Analytics - GraphX, JanusGraph
  • IBM Watson Studio/Data Science Experience
  • IBM Watson Explorer

About Business Unit

Digitization is accelerating the ongoing evolution of business, and clouds - public, private, and hybrid - enable companies to extend their existing infrastructure and integrate across systems. IBM Cloud provides the security, control, and visibility that our clients have come to expect. We are working to provide the right tools and environment to combine all of our client’s data, no matter where it resides, to respond to changing market dynamics.

Your Life @ IBM

What matters to you when you’re looking for your next career challenge?

Maybe you want to get involved in work that really changes the world. What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.

About IBM

IBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.

Being You @ IBM

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Preferred Education:

  • Master's Degree

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