An opportunity exists for a Data Scientist to join a growing team responsible for using hybrid machine-human systems to collect and enhance data about global security, political and economic risks and use that to power a range of innovative predictive applications. This is a technical role to help develop and optimize pipelines and processes for the efficient and accurate collection and enrichment of event data, and the exploitation of that data in predictive risk models.
As a Data Scientist, you will:
Work closely with our data engineering team to help specify, develop and maintain data pipelines to ingest and structure a range of structured and unstructured datasets.
Develop and maintain client-facing and internal dashboards built on top of those pipelines, primarily using PowerBI.
Develop innovative predictive models fusing data and structured expert judgement to quantify risks related to geopolitics, conflict, crime, economics, cyber risk etc.
Use NLP/ML extensively, primarily using the outputs from NLP as as an input to analytical models.
Connect the outputs from such risk models to customer assets, exposures, projects and investments globally.
Monitor, analyse and communicate the performance of machines and human teams to quantify and help optimize performance of our systems.
Develop an understanding and knowledge of;
The structure and value of our unique proprietary datasets on global political, security and economics, part of 1500+ datasets from across financials, energy, automotive, and maritime
Practical risk and intelligence problems and processes from clients in insurance, tech, natural resources, finance and government.
Working as part of a multidisciplinary global team of industry, country and technical experts.
As a Data Scientist, you will be expected to have:
Bachelor’s degree and relevant working experience, or a Master’s or higher degree, in a relevant field of study (Statistics, Mathematics, Economics, Computer Science, Data Science, Physics, Operations Research, Computational Biology etc.) with a strong quantitative component
At least two years of professional experience of the full modeling process – requirements, design, wrangle, train, test, deploy, communicate
Substantial experience with one or more programming/scripting languages (e.g. Python, R).
Substantial experience with relational databases and SQL
Demonstrated mastery of verbal and written English
Experience In The Following Is Also Helpful:
Cloud technologies; AWS or Azure.
Working with APIs / dealing with JSON
Geospatial data and messy unstructured / semi-structured data
Natural Language Processing and Machine Learning
Communicating findings of data analysis (e.g. with matplotlib, plotly, ggplot, Tableau, PowerBI)
Job position matched to your experience and expectations
Access to the latest information technologies
Participation in conferences and trainings
Three days for charity/volunteering
Chillout & fun room (table tennis, table football, Xbox, billiards)
Attractive benefits package (private health care, life insurance, MultiSport card)
Fruit days, coffee, tea, chocolate
Inclusion and diversity are critical to the success of IHS Markit, and we actively encourage applications from people of all backgrounds. We are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected category.
We are proud to provide reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or an accommodation to use our website or to apply for a position, please contact or call +1 212 849 0399. Determination on requests for reasonable accommodation are considered on a case-by-case basis. This contact information (email and phone) is intended for application assistance and accommodation requests only. We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process, and only qualified candidates will receive consideration and follow-up.
IHS Markit maintains a substance-free workplace; employees may be asked to submit to a drug test (where permitted by law). In addition, as a federal contractor in the United States, the company participates in the E-Verify Program to confirm eligibility to work.