Data Scientist - London

Job Description: Data Scientist

Location: London/Hybrid – Office two days per week

About Clariti AI

Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional revenue.

This is an exciting time to join the company, with a small but growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable.

Data Scientist

We are looking for an exceptional Data Scientist to join us at this exciting time as we build on our growth. Our machine learning algorithms literally need to be outstanding for our clients to use us.

As an early joiner, the Data Scientist role is key, and provides multiple opportunities for the right person to grow significantly. There are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is improving the predictive power of algorithms, improving client insights available through the user interface, or streamlining and automating data refresh processes.

What you'll be working on

• Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation.
• Preparing presentations for clients based on data and market insights
• Interacting with clients on a regular basis and providing pricing guidance based on data insights
• R&D of new modelling algorithms, optimisation methodologies and process improvements
• Supporting business development activities including involvement in new client pitches

What we're looking for

• Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering)
• Experience working in a data science or consulting role
• In-depth experience of working with Python and Pandas
• An entrepreneurial spirit and drive to work in an early stage start-up
• A curious mindset to understand how we can improve things and better help our clients address commercial challenges
• Machine learning experience

Nice to haves

• Comfortable working with large datasets of over 10 million rows
• Data engineering experience to speed up pipeline running
• Experience of pricing analytics and/or optimisation
• Experience in producing PowerPoint presentations / reports and presenting to clients or colleagues
• Industry experience in the retail banking or wider financial services sector
• Additional technical experience in any of the following – PySpark, Microsoft Azure, VBA, HTML/CSS, JavaScript, JQuery, SQL, PHP, Power Automate, Power BI

What we offer

• A highly competitive salary
• A genuinely compelling profit share scheme, with the potential to own a significant stake in the business
• Equity options that deliver significant gains if the company is acquired
• Flexible working hours
• “Work anywhere” for up to two months a year
• A significant opportunity to grow quickly with regular performance-based promotions and pay increases
• 25 days per year holiday allowance, increasing by one day per year after two years’ service to 30 days

Other

• We cannot sponsor visas, so only applicants with the permanent right to work in the UK will be considered
• Successful applicants should be willing to work in London up to two days a week and should be willing to travel to clients