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Data Science Summer Internship (3 months)

United Kingdom - London

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Expedia

Location: London

Start date: June 2019  

Duration: 3 months full time placement

Assessment Centre date: Week commencing 3rd December

Eligibility Criteria:

  • Working towards Masters or PhD degree in quantitative fields like Computer Science (Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Statistics, Operations Research, Electrical Engineering
  • Please ensure you apply with your CV in English

Are you ready to rock machine learning, advanced analytical and statistical techniques to drive millions of choices made on our websites and marketing decisions every single day?

Being a data scientist in travel is intellectually challenging and stimulating, working on very difficult problems with complex data. The data science team has a research and development mandate, pioneering the use of advanced, emergent techniques across the business to solve the hardest problems, taking discoveries and ideas and transforming them into products and actions in a fast moving, commercially driven and results focused environment.
 

What you’ll do:

  • Apply solid coding skills, strong analytical and innovative thinking, and Artificial Intelligence/Machine Learning expertise to quickly learn new domains and turn innovative ideas into working solutions
  • Use statistics, distributions and confidence intervals to make decisions based on data
  • Manipulate large data sets for business insights and drive solutions
  • Communicate complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external)

Who you are:
You’ll fit this role if you have:

  • Working towards Masters or PhD degree in quantitative fields like Computer Science (Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Statistics, Operations Research, Electrical Engineering
  • Solid theoretical understanding of supervised and unsupervised machine learning algorithms like Regression, Naïve Bayes, Decision Trees, Random Forests, Boosted Decision Trees, SVMs, Neural Networks, etc.
  • Experience with statistical computing environments such as R, scikitlearn, SparkML, Python (pandas), SAS etc.
  • Strong knowledge and experience in database technologies, including SQL and other relational databases, no-SQL, and Time Series databases
  • Understanding of distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc.

Why join us:

Expedia Group recognizes our success is dependent on the success of our people.  We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business.  Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.  

Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach.  We relentlessly strive for better, but not at the cost of the customer.  We act with humility and optimism, respecting ideas big and small.  We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple.  Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.

If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.

Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.

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Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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R-36182

Job Category
Administration Group

Job Function
Administration

Location
United Kingdom - London

Job Type
Full-Time Intern

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