Data Scientist, Ripjar
Core Analytics
£69.5-70k
+ Company Share Scheme
2-5 days a week in office
Real-time intelligence for countering a wide range of threats
Open for applications
Real-time intelligence for countering a wide range of threats
101-200 employees
Open for applications
£69.5-70k
+ Company Share Scheme
2-5 days a week in office
101-200 employees
Company mission
To help governments and organisations automate the detection, investigation and monitoring of threats from criminal activity.
Role
Who you are
- You will have a strong technical and theoretical background, and be proficient in at least one programming language, preferably Python
- You will have a good understanding of machine learning and large-scale data analysis, and will be comfortable working with complex data at scale
- A good understanding of machine learning and experience training and evaluating machine learning models
- Proficiency using Natural Language Processing techniques for solving problems, ideally making use Large Language Models
- Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch, scikit-learn, numpy and scipy
- Good communication and interpersonal skills
- Experience working with large-scale data processing systems such as Spark and Hadoop
- Experience in software development in agile environments and an understanding of the software development lifecycle
- Experience using or implementing ML Operations approaches would also be valuable but not required
- Working knowledge of statistics and statistical models
What the job involves
- The engineering team enables the delivery of high-quality software to a variety of environments through technical skills, process implementation and software management, anchored in a continuous innovation culture
- We're looking for an experienced, highly motivated Data Scientist to support the research and development of Ripjar's analytics and data products
- You will carry out data analysis tasks to develop Ripjar’s understanding of relevant data and will develop, train and evaluate machine learning models that can be integrated into Ripjar's software products and data processing pipelines
- You will be working with Language models, machine learning tools and large-scale distributed clusters
- Carry out data analysis tasks to develop Ripjar’s understanding of relevant data
- Make use of Ripar’s large-scale data processing and analysis infrastructure to analyse data sets in order to identify patterns and to produce statistical outputs to support the development of new analytics and models
- Develop and evaluate machine learning models to enhance Ripjar’s software and data products
- Help integrate these models into our software and consider the lifecycle and practical use of each model
- Work with Ripjar's Data Engineers and engineering teams to support the scaling up and integration of new analytics and models into Ripjar's products and data processing pipelines
- Produce statistical tests and summarise test outputs
- Document analytics, models and test methodologies
- Provide support to stakeholders in understanding analytics, models and test results
- Support and maintain your models in production
Salary benchmarks
Our take
Ripjar provides a data intelligence platform, Labyrinth, that uses Artificial Intelligence to protect organisations against financial crime threats like money laundering, fraud, and funding terrorism. Labyrinth enables human analysts to make better-informed decisions with speed and accuracy, saving their clients’ costs and time.
Previous investments signify confidence in Ripjar's data intelligence technology and its ability to protect companies and governments from criminal activities that jeopardise their assets and prosperity. And it's no surprise, as Ripjar claims Labyrinth is the most sophisticated and advanced cyber-security solution on the market.
As economic uncertainty rises globally, so does the incidence of financial crime, particularly with the increasing shift to online transactions. Both tech companies and the UK government are turning to Ripjar to address these challenges. With a global client base exceeding 20,0000 and recent innovations, the company is well set to see further growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Sep 2020
$35.4m
SERIES B
Mar 2017
$4.5m
EARLY VC
Total funding: $39.9m
Company benefits
- Pension: Our company pension scheme is a great way of building a pot of money for your retirement and as your employer we match your contributions up to 4%
- Private Family Health insurance: We provide private medical insurance through Vitality Health. As well as giving staff general advice about eating greens and moving about, Vitality Health gives personal, achievable goals to get healthier with Vitality partners helping along the way with discounts, cashback and reward
- 25 days holidays: We offer candidates 25 days annual leave plus bank holiday per year, increasing to 30 after 5 years' service
- EMI Share Options: We offer an employee share option scheme to recognise and reward staff members for their support, service and contribution to the business
- Flexible Working: Employees have the option to work from one of our offices located in Cheltenham, Bristol or London or to work fully remote
- Wellbeing Allowance: We provide employees with a £500 allowance, paid quarterly in the sum of £125 per quarter to support a flexible, holistic approach to employees’ well-being
- Free lunch and snacks: There is a well-stocked pantry with food, snacks and drinks. Lunch is also provided and ranges from a selection of hot and cold food
Company HQ
Cheltenham, UK
Articles
Leadership
Jeremy Annis
(Co-Founder & CEO)Served as the company's CTO until 2021, and has been CEO since November 2018. Jeremy is a former Intelligence Professional and Data Scientist with the British government’s signals intelligence agency, GCHQ
Tom Griffin
(Co-Founder & COO)Served as the company's CEO until Jan 2019. Tom has a PhD in Engineering Mathematics, and prior to Ripjar was the Technical Director of GCHQ’s Engineering Department responsible for creating and sustaining the solutions that protect the UK from threats including terrorism, cyber and serious organised crime
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