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Data Scientist

  • Location: London
  • Salary: Competitive
  • Contract hours: FullTime

Job provided by Breezy HR

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About the job

We're a team that loves engineering and science. We discuss the latest Physics and Math research over lunch, and decompress some evenings in the rock climbing wall. The scientific challenges that we are facing at Pace are immense, bringing modern multivariate parametric and non-parametric modeling techniques to commercial operations research. Our research covers a wide range of topics: from timeseries analysis to bayesian statistics and reinforcement learning.
We keep our entire codebase to Python (with React on the frontend) and are moving towards a real-time microservices infrastructure. Our data science stack is focused on end-to-end ownership of models and reproducibility. Model improvements are driven by demonstrability of their impact on our clients in our sophisticated validation framework.
A bit more about our tech and data science stack:
Kubernetes & Docker on Google CloudPython 3: Pandas, NumPy, SciPy, RabbitMQ, Celery, Flask, Dash, Plotly, MatplotlibJavascript, React, ReduxPostgreSQL, RedisPrometheus, Alert Manager, DataDog

We are looking for a Data Scientist to join our team and help us build and improve the best pricing algorithms in the industry. Data Scientists at Pace work on a variety of challenging issues, but first and foremost on using our client's and external data to understand in real time market forces that are affecting their demand and react optimally to those forces. You will also help understanding our clients interactions with the product and their satisfaction and use those insights to prioritize feature development for the product. Above all, you'll help drive under the guidance of our Chief Science Officer a fundamental technology-driven shift in the hospitality industry using insights from Operations Research and advanced statistical modeling techniques prevalent in a variety of fields, from finance to physics and computer science.
Contribute to building the modeling engine behind our productHelp in the development of our model validation pipeline, including Monte Carlo simulations and user feedbackKeep up-to-date with new developments in data science and use those to keep our edge in our modelsUse client and external data to drive the evolution of our models as well as the development of our feature setCommunicate data-driven insights and recommendations to key stakeholders
You have at least 4+ years of experience in a similar data scientist role (or an equivalent academic role) and a degree in science, statistics, mathematics, or a similar quantitative discipline. You have a deep understanding of modelling, and are pragmatic.You have the technical competence to perform advanced analytics and modeling and productionize analytics code:Coding experience (in Python, Java, or C++)Analytics tools experience (such as pandas, scipy and numpy)Experience performing analysis with large datasetsYou are capable of tackling loosely defined problems.You are communicative and value building strong relationships with colleagues and stakeholders and have the ability to explain complex topics to audiences with different technical abilities.
Competitive package to match experience consisting of salary and employee stock options, a fun start-up environment where you have ownership of your own work and a say in its evolution, a team with exceptional talent and experience and the possibility to grow quickly within the company.



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