Machine Learning Engineer Data Enrichment

Why Money Dashboard?
We’re building the best personal finance app in the world

We first launched in 2010, with a small team in Edinburgh, passionate about making the often-confusing world of personal finance more open, transparent and accessible for everyone.

Today our mission remains the same: to help people from every walk of life be happier and more successful by mastering their money. We’re on a mission to change millions of lives, and have made a strong start. And the best is yet to come. 

Are you passionate about our mission? Do you want to be part of the next big fintech success story? 

That’s where the team comes in
We hire the best people and let them get on with it

A strong belief in what we do is what gets us out of bed in the morning. We believe less in job titles and more in organising ourselves with a common goal to get things done.

  • We collaborate and seek input from others to do our best work 
  • We are accountable for our own acts and omissions, celebrate our wins and look for ways to improve our work, our product and ourselves 
  • We disrupt and we learn fast
  • We focus on creating a culture that works for everyone and seek people who will help us challenge our own assumptions

Here’s what our Machine Learning Engineer for Data Enrichment looks like:
  • You are happy to work with large, complex datasets
  • You have an eye for detail, can seek out complementary datasets, that combined with Open Banking data can provide greater information and allow for enriched data insights and predictive capabilities
  • You take a hypothesis based approach in developing models, ensuring models are being improved methodically as you experiment. 
  • You have experience applying NLP techniques to business problems and are well-versed with different techniques and algorithms on structured and unstructured datasets.
  • You have experience in establishing machine learning and data science pipelines and believe in experimenting often and developing repeatable models.
  • You like to keep yourself abreast with the latest research, techniques and algorithms within machine learning and are not afraid to apply techniques across different domains.
  • You have demonstrable experience productionising machine learning models where you derived value from the models developed.

Sound like you? Here’s some of what you’ll be doing:
  • Understand the landscape of open banking transaction data and really get to know our 470m+ banking transactions for our 200k+ users across a rich history of 7 years of data; the largest transaction dataset in the UK.
  • Develop data science solutions, using machine learning techniques to analyse and uncover underlying trends and patterns to understand and improve the data we hold.
  • Work with Python based data science stack using Scikit-Learn ML libraries with the potential to implement deep learning models using frameworks such as Tensorflow, Keras and Fast.ai and be part in establishing future direction of data science within Money Dashboard.
  • Input into and contribute to the technology solutions we implement which could include python, spark, jupyter notebooks and requires your input.
  • Work within the cutting edge cloud-based Amazon Web Services environment and have the opportunity to explore options using Sagemaker or other cloud-based services.
  • Develop solid production ready solutions that could influence thousands of people’s financial lives and better their day to day living through your data solutions.

You’ll be in good company 

You will be part of a newly created team of high achievers running your own squad. This will be a great opportunity to learn. You will have a high impact and play a key role in taking Money Dashboard to the next level and putting your mark on the Open Banking movement. 

What we offer:
  • Competitive Salary 
  • Pension Contributions 
  • 33 days of holidays plus a hot day on the rare occasion it gets hotter than 22 degrees in Edinburgh!  
  • Fully flexible holidays (take the days whenever you want)
  • Perkbox - think cheap cinema tickets, free coffees and mobile phone insurance    
  • The opportunity to learn, grow and progress your career
  • Conferences and Events so you can learn from tech’s brightest minds 
  • Free food after 7pm for late workers 
  • Extra day of holidays for each year of service.
  • Staff lunch on Fridays 
  • Cycle to work scheme
  • Your choice of tech kit 

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