Senior Data Scientist


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

23rd November 2018

Location

City Of London

Salary/Rate

£550 - £650

Type

Contract

Start Date

ASAP

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Senior Data Scientist/£550-£650/London/12 months

We are searching for multiple Data Scientist's, to work on a large project for a trusted client, running for at least 12 months. Using the most cutting edge technologies, willing to start ASAP.

Data Scientist Job description:

Concrete tasks will include:

* Design and develop analytical approaches based on product concepts, going all the way from feasibility checks to proof-of-concepts to prototypes to implementation in end-to-end solutions

* Closely collaborate with machine learning engineers/ software engineers on creating data-driven end-to-end solutions for marketers

* Actively share Data Science knowledge within the companies Technology and Data network

We look for a profile with complementary skills, such as:

MUST HAVE

* Expert knowledge of Python programming, including pySpark

* Strong statistical modeling skills / knowledge on predictive analytics would be a plus

* Expert knowledge of optimization and / or machine learning algorithms and / or deep learning algorithms

* Solid skills with regard to working in Big Data environments (e.g., Cloudera Hadoop, Hortonworks Data Platform, AWS EMR, Map/Reduce, Hive)

NICE TO HAVE

* Advanced knowledge of the constantly evolving Data Science ecosystem and its frameworks (e.g., Hadoop, Spark MLlib, H2O, Tensorflow, Torch, Theano)

* Basic skills with regard to performance optimization and scalability (e.g., parallelization, code optimization, containerization, function as a service)

* Experience in working with relational and non-relational databases, including SQL

ASPIRED EDUCATIONAL BACKGROUND / PROFESSIONAL EXPERIENCE

* Master degree that reflects strong modeling, statistics and IT skills, PhD welcome but not required

* 2+ years of professional experience in quantitative data analysis/ data science or related areas

Please get in touch with Patrick Robinson by sending your CV to [email protected], calling 0203 878 8405 or getting in touch directly on LinkedIn.

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