Data Analyst

We’re looking for an intellectually curious, humble, ambitious and razor-sharp Data Scientists with varying levels of industry experience. You are someone who is passionate about technology and, even more so, about applying data science, machine learning and artificial intelligence technologies more broadly to real-world problems. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. The ideal candidate must be a master of their domain and should be skilled at taking ambiguous business or product requirements, translating them into hypotheses, finding the right solution, prototyping their ideas and productionise their work. This individual will be fundamentally motivated by wanting to drive significant business impact through the application of their knowledge and skills. Furthermore, the ideal candidate should be able to inspire and champion through influence when the need arises. We are looking for a rare mix of intelligence, integrity, domain knowledge, verbal agility, and diplomacy which allows you to rapidly earn the trust of technically astute engineers and product astute product management leaders.

Requirements

Essential skills

• An entrepreneurial and a can do attitude
• Proficient at programming in Python
• Real world data querying (SQL), data manipulation and feature engineering experience
• Experience using data science libraries Pandas, Numpy, Scipy, Seaborn
• Experience using Deep Learning libraries PyTorch, HuggingFace
• Experience using NLP toolkits like Spacy, NLTK, TextBlob
• Experience solving NLP problems like text classification, named entity recognition, search, recommendation
• Experience using Github and CI/CD pipeline for automated deployment
• Experience in MLOps - setting up model monitoring and optimisation.
• Knowledge of Web services (FastAPI, Flask) to host models and services and to integrate with existing services (REST).
• Excellent communication skills, ability to present with diverse stakeholders
• Ability to operate in interdisciplinary teams comprised of product, engineering, business and technology experts

Desired skills

• A PhD or an advanced Masters in a scientific discipline: Statistics, Computer Science, Operational Research, Mathematics, Physics
• Experience in one or more of the following areas: Supervised Learning, Deep Learning, Probabilistic Inference, Statistical Modelling, Bayesian Statistics, Unsupervised Learning, and Reinforcement Learning
• Passionate about software development and engineering as a field
• 2-4 years of industry experience but more importantly, demonstrable experience at taking concepts and models from conception to production and quantifying business impact
• Previous experience in a consumer, product or an eCommerce business would be beneficial
• Academic research experience would be beneficial. Ability to propose bespoke and novel solution to non-standard machine learning problems
• Knowledge of and experienced at working with Docker and Kubernetes technologies
• Knowledge of and experienced at working with cloud technologies (Azure, AWS)
• Track record of industry recognition which could be in the form of high impact academic research outputs, contribution to high impact open source projects or performance in open source competitions such as Kaggle

Benefits

• Performance-based bonuses and stock options
• Generous vacation and time off benefits including paid holidays
• Generally flexible working hours
• Working in a beautiful office space in London
• A collaborative culture where unconventional thinkers come together to solve interesting problems and having fun while doing it
• Mission-driven company that is making the world a better place