Connecting to LinkedIn...

Connecting to LinkedIn...

W1siziisijiwmtqvmdkvmzavmtavndevmzevmzkxl3n0b2nrx3bob3rvx2pvynnfynv0dg9ux29ux2tlewjvyxjkxzgwmdu4mtgxlmpwzyjdlfsiccisinrodw1iiiwimtkymhgxmjuwiyjdxq

Data Scientist - up to £55,000 + bonus & benefits

Job Title: Data Scientist - up to £55,000 + bonus & benefits
Contract Type: Permanent
Location: London, England
Industry:
Salary: £47000 - £55000 per annum + bonus & benefits
Start Date: ASAP
REF: J8300_1501688858
Contact Name: Cristian Amanta
Contact Email: cristian@montash.com
Job Published: 3 months ago

Job Description

Data Scientist - up to £55,000 + bonus & benefits

Central London

I am currently working with an established Fintech Company that is experiencing tremendous growth, and are currently one of the most successful in Europe.

They are currently seeking a Data Scientist to join their team. The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will be adept at working directly with functional leaders to gather requirements, present results, and give recommendations. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a business or functional area. We are seeking someone that would be able to provide insights into their portfolio.

If you're accustomed to working in Data driven environments that are customer focused, and are looking for an environment where you can further your career, this is the role for you.

Success in this role means ability to understand business requirements, compiling analysis questions, define data and visualization requirements and crisp story telling of the insight.

You are naturally a curious problem solver with a passion for efficiency and execution excellence. In this role, you will coach and mentor junior employees in the data scientist team and raise the bar for the team.

About you:

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Assembles data sets from disparate sources and analyzes using appropriate quantitative methodologies, computational frameworks and systems.
  • Experience in developing insights on customer experience, customer journey and retention activity that ultimately drive growth
  • Good programming skills: Python, SQL, R, SAS
  • Experience with AWS tools are a big plus
  • Proficiency in using query languages such as Hive, Pig
  • Experience working with APIs
  • Focus in engineering, mathematics, computer science, statistics, physics, economics, operations research or related field; graduate or post-graduate degree a plus
  • Ability to rapidly prototype and iterate on vague and quickly changing requirements
  • Must be a team-player and be able to work closely with technical teams and business users
  • Ability to communicate effectively with Sr. Managers, Directors, VPs across the entire business enterprise.

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...