Data Scientist
About Us
At Red Sift, we are delivering the industry’s only integrated cloud email security and brand protection platform. As a result, we are helping to make the world a safer place, enabling organizations across all sectors, including many of the biggest brands, top law firms, financial services providers, technology innovators and government agencies defend against business email compromise (BEC) attacks, while streamlining how we protect against ransomware and phishing attacks.
Internally, we encourage an open, collaborative, customer-centric working environment. We are one of the fastest growing companies in our industry and we’re currently looking for talented, creative problem-solvers to help us build a safer future for everyone.
About the role
Fundamental to this role is designing and building out AI and ML techniques for workflows within our cybersecurity products.
Investigating the state-of-the-art methods in natural language processing (NLP) and computer vision (CV).
Applying supervised and semi-supervised machine learning approaches in classification of large scale datasets in the cybersecurity domain.
Applying NLP methods to extract insights from text such as email messages.
Building, deploying, monitoring and improving machine learning models.
Collaborating with other team members to integrate the models to our products.
Developing bespoke interactive visualisation tools to help improve understanding of underlying data
About you
We generally don’t have hard and fast requirements - everyone is different. Core attributes and skills we are hoping to see highlighted in your application are:
Your skillset…
Minimum 3 years of work or research experience in machine learning.
Experience working in real projects with natural language processing.
Experience in various parts of the life cycle of machine learning.
Solid understanding in how common machine learning and deep learning algorithms work.
Good hands-on experience in machine learning and data analysis libraries (sklearn, PyTorch, TensorFlow, pandas).
Proficient in Python.
(Desirable) Experience in computer vision.
(Desirable) Experience in the cybersecurity domain.
(Desirable) Experience in data visualisation development using D3.js and React.
Your background...
Experience working in a company in a stage of major growth.
Degree in machine learning, data science, AI or related field.
Food. Our error identifiers look like this - ‘strain_thin_tortellini’, ‘glaze_copious_currants’, ‘sprinkle_full_oregano’. It makes for a better user experience than random hex identifiers.
🌟 The opportunity to participate in every aspect of the startup journey in rapid scaling mode
✊🏽 The chance to participate in our mission to protect organisations and the people within them with cybersecurity software products that outsmart attackers at scale
💷 A competitive base salary based on experience in addition to a performance-based bonus, equity plan and pension scheme
🧰 Optionally remote work, as long as you can drop by the office every now and then
🏝 25 days of vacation in addition to public holidays per year
🧖♀️ A monthly budget for coaching and self-improvement such as courses, conferences and workshops
🏥 Health Insurance
👪 Maternity / Paternity leave
🏋️ Gym membership
🚴 Cycle to work scheme
🦸 One volunteer day per year
🕰 Flexible working hours, we trust you to work enough hours to do your job well, at times that suit you and your team