Senior Data Scientist


United Kingdom
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 02/08/2021
  • Website:
  • Company Address: 1 Southampton Street, London, WC2R 0LR, GB

About Greensill

Greensill is the market-leading provider of working capital finance for companies globally. We unlock capital so the world can put it to work. Founded in 2011 by Lex Greensill, the company is headquartered in London with offices in New York, Chicago, Miami, Frankfurt, Bremen, and Sydney, with more than 500 specialists worldwide. Greensill provides Supply Chain Finance to customers across Europe, North America, Latin America, Africa and Asia and works with a host of banks and institutional investors to provide solid funding streams to underpin the process. But we are about much more than Supply Chain Finance. Greensill uses the power of financial markets to unlock capital on terms that fit the precise requirements of our clients, from 20 days to 20 years and beyond.

Job Description

Research and deliver leading data science methodologies applied to financial use cases. Manage and deliver data science & optimisation capabilities.


  • Work with the existing data science team on projects and areas where the business will benefit from the use of data science approaches
  • Assist in the development of third party and internal data sources
  • Enhance the use of data science across Greensill and move the company closer to the leading edge of the field
  • Educate, support and develop general knowledge and understanding of data science, Machine Learning, AI and other advanced learning techniques in finance across the company
  • Support the stakeholders in new initiatives and innovation projects
  • Manage and deliver data science projects as required, for example development of financial prediction or origination use cases
  • Work with other business areas to understand business requirements and how they should be implemented within data science projects

Skills and Abilities:

  • Highly numerate with a background in Mathematics, Computer Science, Statistics, Data Science, Physics, Engineering, or similar fields
  • Must have experience with at least one of the following Greedy optimisation, Iterative optimisation, Evolutionary algorithms for multi-objective optimisation, Integer programming, Genetic algorithm or Python scipy optimize
  • Exposure to programming in any of the following:
    • Python: Pandas, Numpy, Scikit Learn, Pytorch, NLTK, Gensim, Tensorflow, Keras, SimPy, Matplotlib, Seaborn, Plotly / Plotly Dash
    • R: Tidyverse, ggplot2 series
    • Other: Scala, Julia, Java, C/C++, Javascript
  • Understand Tools and Resources: Linux, Git-Bash, Amazon Web Services (E3, Athena, Sage maker instances), Tableau
  • Data Science Methods, including: Cross validation and testing, Feature Analysis, Feature Selection, Feature Engineering
  • Desirable: exposure to both shallow and deep learning, including mathematical basis of deep neural networks (CNN, RNN, ANN, etc.)
  • o Acts with honesty and integrity
    o Curious and resourceful – seeks out difficult questions and finds solutions
    o Resilient, able to learn from mistakes and move forward
    o Flexible, adaptable and able to deal with ambiguity
    o Collaborative, thrives when working towards shared goals

Our culture is founded in a commitment to challenging the status quo.

To help make finance fairer for everyone, we’re changing the way Working Capital Finance works. Our diverse, global offices combine bright thinkers from different backgrounds working autonomously and creatively to find new ways to re-invent the industry.


We’re not afraid to fail, pivot and adapt when it comes to our products and believe that our people should be given the same opportunities to pave their own path. Our dynamic structure and agile organization means everyone, in every team can make an impact and find purpose and pride in their work.


We love trying new things, and most days you’ll find us ‘innovating on the fly’, pushing the limits of what’s possible to create new solutions to seemingly impossible challenges. We’re data-driven and tech-focused, but still centred around our customers. As active problem-solvers, we also firmly believe that just because that’s the way it’s always been, doesn’t mean that’s the way it should be.


We’re a tight-knit bunch, who are proud of our heritage, and like nothing better than welcoming new people to the team. In fact, working as a team is at the heart of everything we do – from our diverse and inclusive global family to a truly accessible, flat structure than encourages transparency and participation in all aspects of the company.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.