Machine Learning Specialist

​The Role:

  • You will be their first UK based Data Scientist, which will involve writing code using Go - if you don't have any existing knowledge of Go, they are more than happy to teach you this as it's very easy to pick up if you understand Java or C++

  • You will also be using Python Statistics packages like TensorFlow to build data models, as well as Java and C++

  • You will be putting your data models into production and maintaining them through the product life cycle

  • You will be a Machine Learning expert who can use your knowledge and communicate it in layman's terms to your colleagues

  • You will have a major impact on the development of the platform and will be a key part of getting Effective ready for their Go Live

The Company:

  • Pre-IPO Start-up , already valued at $20 Million

  • Founding team has over 30+ years of combined experience within Fraud, having worked for companies like Google and PayPal

  • Founding team have previous experience growing a and selling a Fraud Detection software company

  • Received strong funding from a leading investor

  • Already had great traction, with a deal already signed by a large US Bank

  • Plans to more than double in size by the end of 2021 to 15 people, then to double again by the end of 2022

  • Low code, plug and play automated solution which will save their customers valuable time and manpower

  • Solution based on AI and Machine learning, hiring only real experts that share their vision

  • Opportunity to grow a team around you in the future

The Ideal Candidate:

  • Machine Learning Expert

  • Ability to confidently programme in Java, C++ and Python

  • Experience building data models and putting them into production

  • Someone who can challenge internally

What You’ll Get:

  • £80,000 to £90,000 Base

  • 10% Bonus

  • Equity

Process:

  • 1st - Intro call

  • 2nd - Technical/Scenario Based

  • 3rd - Further Technical Test

  • 4th - Call with other Co-Founders

Job code: 14602

Location London, Greater London, England
Job Type Permanent
Salary £80000 - £90000
Reference 14602

​The Role:

  • You will be their first UK based Data Scientist, which will involve writing code using Go - if you don't have any existing knowledge of Go, they are more than happy to teach you this as it's very easy to pick up if you understand Java or C++

  • You will also be using Python Statistics packages like TensorFlow to build data models, as well as Java and C++

  • You will be putting your data models into production and maintaining them through the product life cycle

  • You will be a Machine Learning expert who can use your knowledge and communicate it in layman's terms to your colleagues

  • You will have a major impact on the development of the platform and will be a key part of getting Effective ready for their Go Live

The Company:

  • Pre-IPO Start-up , already valued at $20 Million

  • Founding team has over 30+ years of combined experience within Fraud, having worked for companies like Google and PayPal

  • Founding team have previous experience growing a and selling a Fraud Detection software company

  • Received strong funding from a leading investor

  • Already had great traction, with a deal already signed by a large US Bank

  • Plans to more than double in size by the end of 2021 to 15 people, then to double again by the end of 2022

  • Low code, plug and play automated solution which will save their customers valuable time and manpower

  • Solution based on AI and Machine learning, hiring only real experts that share their vision

  • Opportunity to grow a team around you in the future

The Ideal Candidate:

  • Machine Learning Expert

  • Ability to confidently programme in Java, C++ and Python

  • Experience building data models and putting them into production

  • Someone who can challenge internally

What You’ll Get:

  • £80,000 to £90,000 Base

  • 10% Bonus

  • Equity

Process:

  • 1st - Intro call

  • 2nd - Technical/Scenario Based

  • 3rd - Further Technical Test

  • 4th - Call with other Co-Founders

Job code: 14602