Roles
Ravelin
Data Scientist - Detection
Explore roles
This role has expired
Ravelin
Data Scientist - Detection
174-180 Old St, London EC1V 9BP
Remote
Description
We are currently looking for a Data Scientist to help train, deploy, debug and evaluate our fraud detection models. Our ideal candidate is pragmatic, approachable and filled with knowledge tempered by past failures.
Evaluating fraud models is hard; often times we do not even get labels for 3 months. You’ll need to use your judgement when investigating cases of ambiguous fraud and when you’re investigating the veracity of the model itself.
We have to build robust models that are capable of updating their beliefs when they encounter new methods of fraud: our clients expect us to be one step ahead of fraud, not behind. You will be given the equipment, space and guidance you need to build world class fraud detection models.
The work is not all green field research. The everyday work is about making safe incremental progress towards better models for our clients. The ideal candidate is willing to get involved in both aspects of the job – and understand why both are important.
Responsibilities
Build out our model evaluation and training infrastructure.
Develop and deploy new models to detect fraud whilst maintaining SLAs
Write new features in our production infrastructure
Research new techniques to disrupt fraudulent behaviour
Investigate model performance issues (using your experience of debugging models).
Requirements
Significant experience building and deploying ML models using the Python data stack (numpy, pandas, sklearn).
Understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering.
Strong analytical skills.
Being a strong collaborator with colleagues outside of your immediate team, for example with client support teams or engineering.
Being skilled at communicating complex technical ideas to a range of audiences.
The ability to prioritise and to manage your workload.
Being comfortable working with a hybrid team
Experience with Go, C++, Java or another systems language.
Nice to haves
Experience with Docker, Kubernetes and ML production infrastructure.
Tensorflow and deep learning experience.
Experience using dbt.
Benefits
Flexible working hours, hybrid working model, office in Old Street and a £500 home office budget
Share options
25 days holiday + bank holidays + extra day off per year of service (up to 5) + 1 extra day off for cultural reasons
Extra Monthly company-wide days off - the Wellbeing & Learning Days
£1000 annual wellbeing budget to spend through Heka
Mental health support through Spill
Comprehensive medical cover with AXA which includes pre-existing conditions
Pension Scheme with Aviva
Enhanced parental benefits
Company socials, team social and budget for microsocials that anyone can organise for any event
Ravelin Gives Back (RGB) - monthly charitable donations and regular volunteering opportunities
Fortnightly team lunches with a randomised group of people from across the company, virtually (via Deliveroo) or in-person
Access to BorrowMyDoggy
Tax efficient bicycle purchase through the Cycle-to-Work scheme
Weekly board game nights
Role tech stack
Ravelin
Data Scientist - Detection
174-180 Old St, London EC1V 9BP
This role has expired