Data Science Data Science Senior Data Scientist

2 weeks ago

London, United Kingdom Builder Full time

We’re on a mission to make app building so easy everyone can do it – regardless of their background, tech knowledge or budget. We’ve already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal and Pepsi, as well as American organizations like Bobcat and Smart Path, achieve their software goals. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there’s never been a more exciting time to become a Builder.
Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take AI app building to new heights.
In return for your skills and commitment, we offer range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuild
Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. Our team is responsible for spearheading a wide range of existing use cases, driving Builder’s Code Generation effort, taking ownership of our proprietary knowledge graph and leveraging advanced data analysis to derive valuable insights and make data-driven decisions.
Utilizing generative AI for code generation and automating software assembly.
Advancing internal text-to-image generation capabilities tailored to customer-specific content.
Employing historical data to forecast software project price and timeline.
Analyzing dependency structures and identifying bottlenecks in the software development life cycle.
Automating quality assurance processes and cloud resource allocation in software development.

PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics.
Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning.
Proficiency in Python programming.
Expertise in GIT and the data science Python stack.
Experience with real-world data querying, manipulation, and feature engineering.
Passion for software development and engineering.
Strong academic research background with a proven track record of accomplishments.
Knowledge of graph databases and proficiency in Cypher query language.
Familiarity with vector databases and expertise in Retrieval Augmented Generation (RAG).
Ability to propose innovative and tailored solutions to non-standard machine learning problems.
Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle

~ Attractive quarterly OKR bonus plan or commission scheme dependant on your role
~ 24 days annual leave + bank holidays
~Generous Referral Bonus scheme
~ Pension contributions
~ Private Medical Insurance provided by AXA 
~ Private Dental Insurance provided by Bupa 
~

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