Connecting to LinkedIn...

Connecting to LinkedIn...

W1siziisijiwmtqvmdkvmzavmtavndevmzevmzkxl3n0b2nrx3bob3rvx2pvynnfynv0dg9ux29ux2tlewjvyxjkxzgwmdu4mtgxlmpwzyjdlfsiccisinrodw1iiiwimtkymhgxmjuwiyjdxq

Senior Data Scientist

Job Title: Senior Data Scientist
Contract Type: Contract
Location: City of London, London
Industry:
Salary: £600 - £700 per day + Negotiable
Start Date: ASAP
Duration: 12 Months
REF: SDBO5444_1495197437
Contact Name: Sadiye Booker
Contact Email: sadiyeb@montash.com
Job Published: 5 months ago

Job Description

Senior Data Scientist - City of London - £600 - £700 Per Day - 12 Month Contract - ASAP

Montash are engaged with a large logistics company based in City of London who are looking for an experienced Senior Data Scientist from a Financial Services background.

In order to be considered, you will need to come from a Financial Services background and proven experience of risk scoring within this environment.

Description

Responsible for developing algorithms and experiments to test ideas leading to an improvement in the business products. Alongside developing new data products, you will be responsible for existing data assets and generate insight that shapes and informs key strategic and operational decisions. Furthermore, you will also be responsible for developing data-driven culture and robust challenge processes as well as inspiring stakeholders with algorithmic solutions.

Key Skills

  • At least 2 years experience as a Data Scientist.
  • Strong experience of Spark and Scala.
  • Extensive Financial Services background as well as proven experience of risk scoring within this environment.
  • Proven experience with at least 3 of the 4 languages: Machine Learning, AI, OR, Simulation.
  • Clear demonstration of data-based decision-making skills, ability to learn new areas quickly and strong presentation skills are required.
  • Ideally experience or basic understanding of Cloud technologies such as Microsoft Azure, Google Cloud etc (desirable).
  • Excellent communication skills and engaging with stakeholders across all levels, in particular experience of advising senior stakeholders on Data Science processes and the interpretation of outputs.
  • Detailed knowledge of technical specialism such as Machine Learning, Optimisation, Simulation etc.
  • Education - PhD or equivalent research experience and more than 4 years commercial experience, with at least 2 years experience as a Data Scientist.

The client is looking for someone to be based in City of London and you will be required onsite for 5 days per week with some minimal travel such as once a month. Please ensure this will work for you before submission.

Please contact me for more information on sadiyeb@montash.com or 0207 014 0231.

KEYWORDS: DATA SCIENTIST / DATA SCIENCE / MACHINE LEARNING / ARTIFICIAL INTELLIGENCE / SIMULATION / OPTIMISATION / PHD / COMPUTER SCIENCE / DATA / ANALYSIS / STATISTICAL / RESEARCHING / CLOUD / MICROSOFT AZURE / GOOGLE CLOUD / FINANCIAL SERVICES / RISK / UK / LONDON

Social Stream

Latest News

W1siziisijiwmtcvmdkvmjkvmdgvmtmvmjkvmjgyl1vudgl0bgvkigrlc2lnbiaomjuplmpwzyjdlfsiccisinrodw1iiiwimzgwedewmcmixv0

Are PSLs a Blocker or an Enabler?

2017-10-02 11:00:00 +0100

The use of a Preferred Supplier List (PSL) was intended to support and strengthen relationships and performance between organisations and their third party suppliers. As the technical landscape continues to evolve at rapid rate recruitment and demand for new skills becomes more intense. Are PSLs still the solution or an obstacle to sourcing the right talent? The traditional PSL A dedicated list of partners intended to guarantee quality and availability ...

W1siziisijiwmtcvmdkvmjevmdgvndmvmduvmtmxl1vudgl0bgvkigrlc2lnbiaomjmplmpwzyjdlfsiccisinrodw1iiiwimzgwedewmcmixv0

Why do we punish the victims of hacking?

2017-09-21 09:00:00 +0100

Hacks occur every 39 seconds, with 95% of them targeting governments, retailers and the tech industry. If the hackers are caught, they'll face prison time under the Computer Misuse Act. More often than not, the businesses who are victims of those attacks expose themselves to punishment of their own. The laws that determine the duty of protection owed to businesses and their customers is both vague and broad, making them question just how much protection...