At Ripjar, we are making the world more secure using technology. Our platform enables organisations and governments to prevent financial crime and other illegal activities.

This is a great time to join a growing group of highly talented technologists and data scientists who are designing products that solve real world issues and are changing the way criminal activities are detected and prevented.

Team mission:

Our 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.

What you’ll be doing:

As an Operational Data Scientist, you will be responsible for working directly with our customers, in a consultative manner, to deploy and optimise Ripjar's analytical solutions and machine learning capabilities to solve their specific problems. You will become an expert in the inner workings of our analytics and be able to advise our customers on how the software can be used appropriately and effectively to meet their needs. Using your creativity and problem-solving skills you will work closely with our customers, supported by your colleagues across Ripjar, to provide solutions to their biggest challenges.

When you are not working directly with our customers you will be exploring and experimenting with new and interesting techniques, building capabilities that showcase our latest tech, supporting our partners, and improving our core products. You will be actively involved in understanding, sourcing, integrating, and deriving value from new and relevant data sources.

Ripjar is a company with analytics right at the heart of what it does. The technology you will be using on a daily basis to help our customers detect financial crime and other risks will include: Knowledge Graphs, Entity Resolution, Natural Language Processing (NLP) techniques, Neural Networks and Visual Analytics. You will therefore need to be able to pick up new ideas and concepts quickly and be adaptable as our technology stack evolves and improves.

Key tasks

• Research and select relevant technologies, approaches and implementations to solve a given business problem
• Implement machine learning techniques into engineered solutions that can be integrated into Ripjar’s core technology offering
• Optimise the performance of our data analytics to maximise their performance for our customer's operational deployments
• Communicate the design of our data science and machine learning capabilities and how they work to our customers, analysts and fellow engineers

The successful candidate should have these skills:

We recognise that demonstrable skills in all these technologies is not easy to find. Don’t let that stop you from applying! We can work in partnership to identify your strengths and provide you with the training necessary to fill any gaps

• Strong software engineering experience in at least one programming language (Python preferred)
• Working knowledge of machine learning and other algorithms
• Excellent communicator and able to confidently represent Ripjar to current and prospective customers
• Understand the nuances of dealing with structured and unstructured data
• Experience with Linux
• Experience with Spark (Pyspark), Hadoop or other Big data technologies would be beneficial

Why we think you’ll love it here

• Base Salary of up to £75,000 per year DOE
• 25 days annual leave, rising to 30 days after 5 years of service
• Fully remote working option for employees
• Company Share Scheme
• Private Family Healthcare
• Employee Assistance Programme
• Company contributions to your pension
• Enhanced maternity/paternity pay
• The latest tech including a top of the range MacBook Pro
• Offices in Cheltenham, London and Bristol
• For those working remotely, financial assistance will be available to help set up your home office
• There is a well-stocked pantry with food, snacks and drinks when in the office