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Data Scientist (Artificial Intelligence)

  • Job reference: GN0000618
  • Sector: Atkins
  • Location: Bangalore
This vacancy has now expired

Why not...

Key Deliverables/Responsibilities

 

·         Use data analysis techniques to deliver quick working prototypes to prove hypothesis by building statistical models using a range of tools including R, Python, and Spark

·         Understand data requirements for a product lifecycle by working closely with Product Managers and Solution Architects.

·         Use cutting edge visualisations to enable our business/Clients to better explore the patterns and trends hidden within our data.

·         Evaluate and apply machine learning algorithms on data to create models.

·         Work collaboratively with data engineers and software engineers to deliver product solutions and/or prototypes.

 

Experience Required

 

Essential

·   2-3 years of experience as Data Scientist 

   Strong grasp of numbers, statistics, mathematical concepts, and algorithms. Ideally with a degree at a Masters level.

·         Knowledge of data structures, relational data, and big data platforms.

·         Demonstrate experience and understanding of Machine Learning, e.g.: linear/logistics regression, random forest, SVM, neural networks, etc.

         Experience with computer vison use-case.

·         Proficiency with Python.

·         Proficiency with machine and deep learning frameworks such as TensorFlow,Keras.

·         Experience with techniques to retrieve actionable feature insight from deep neural networks.

·         Experience developing solutions for on cloud.

·          

Desirable

·         Oil and Gas, utility, Telecoms or construction sector experience.

·         Contribution to industry/open source communities.

·         Experience of working within a multi-cultural, global environment.

·         Experience of working in a fast moving and changing environment.

·         Experience with NLP and linguistic approaches for retrieval, interpretation, and pushing of insight from scientific literature

 

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