We are looking for individuals with a proven track record in development in our core technologies (Scala and Spark) and who can demonstrate knowledge or interest in data science methods. Things you will work on include:

• create design patterns for complex pipelines which create features which our data scientists can follow and use
• improve our analytical tooling to help with tasks such as statistical analysis and reporting
• develop and improve on existing/new methodologies with a focus on ease of use and re-usability
• understand common pain points on client deliveries and work to resolve these
• produce components for advanced analytics, matching, and visualisation on big data
• mentor Quantexa staff in developed tools and methodologies both through in-house training sessions, and providing quality assurance on projects

Our office is located near London Waterloo, but some work occurs on our clients' sites - mainly in central London, but there may also be opportunities for travel.

Example pieces of work include:

• Working with core R&D on Quantexa's analytical framework, providing feedback as a (scala) user, helping create the best framework for our delivery teams and clients
• Exploring functionality in MLFlow, and how this can be used to support our client's modelling requirements, as well as how it can be deployed in Quantexa's analytical framework
• Creating a framework that, on an on-going basis, assesses customers against a risk model and determines whether previously investigated customers should be re-raised for investigation

You might be a fit for this role if you have:

• able to demonstrate good software development practices
• experience in requirements gathering
• experience in data science engineering, or a mixture of data science and data engineering
• enthusiasm to learn and develop in open source technologies; if you do have experience developing on open source projects, do send us a link
• deployed big data or analytical solutions to production environments
• excellent technical skills including expert knowledge in Scala/Spark
• effective communication skills

Knowledge of at least one or more of the following will be helpful:

• experience in data science methods and techniques
• experience in Python/PySpark
• experience using Zeppelin/Jupyter Notebook

We know that just having an excellent glass door rating isn't enough, so we've moved to a brand-new WeWork office and put together a competitive package as a way of saying "thank you" for all your hard work and dedication.

We offer:

• Competitive Salary
• Company Bonus
• 25 days holidays;
• Private healthcare, Life assurance, Group income protection;
• Cyclescheme and Techscheme
• Pension scheme with company contribution of 6% of salary.
• Huge opportunities due to scale of growth
• Unlimited access to technical library
• Exceptional training

• Regular social events