Data Scientist

About Builder.ai

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. And we’ve only just started!
Builder.ai was voted as one of 2023’s ‘Most Innovative Companies in AI’ by Fast Company, and won Europas 2022 ‘Scaleup of the Year’. 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.

Life at Builder.ai

At Builder.ai we encourage you to experiment! 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.

Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder’s HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let’s-get-stuff-done attitude.

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

Why we need this role

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. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. 

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.

Key problems include:

• Utilizing generative AI for code generation and automating software assembly.
• Harnessing our proprietary knowledge graph to optimize the customer journey.
• Advancing internal text-to-image generation capabilities tailored to customer-specific content.
• Employing historical data to forecast software project price and timeline.
• Optimizing developer workforce allocation to align with customer demand and business metrics.
• 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.
• Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning.
• Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact.
• Proficiency in Python programming.
• Expertise in GIT and the data science Python stack.
• Experience with real-world data querying, manipulation, and feature engineering.
• Familiarity with cloud technologies.
• Strong attention to detail and ability to work independently with given direction.
• Efficient time and task management skills.
• Entrepreneurial mindset and a can-do attitude.
• Passion for software development and engineering.
• Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts.

Desired skills

• Excellent communication skills with the ability to effectively engage with diverse stakeholders.
• Experience in a consumer-oriented, product-focused, or eCommerce business.
• 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).
• Hands-on experience in self-hosting and fine-tuning of open source Generative AI models.
• 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