Senior Data Scientist

2 days ago

London, Greater London, United Kingdom Builder Full time

About Builder

We're a pioneering software company on a mission to democratize app building, empowering entrepreneurs, small businesses, and global brands to achieve their software goals. With a strong track record of innovation, we've been recognized as one of the 'Most Innovative Companies in AI' by Fast Company and won the Europas 2022 'Scaleup of the Year' award. Our global team of over 800 talented individuals is diverse, collaborative, and exceptionally skilled, united by our shared belief in Builder's HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency.

Life at Builder

We foster a culture of experimentation, where every role has unlimited opportunities to learn, progress, and challenge the status quo. Our team is passionate about supporting our customers and taking AI app building to new heights. We offer a range of great perks, including hybrid working, a variable annual bonus, employee stock options, generous paid leave, and trips abroad.

Why We Need This Role

Our data scientists will be part of the Intelligent Systems team based in London, collaborating closely with global product and engineering teams. This 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.

Key Responsibilities

  • Utilize generative AI for code generation and automate software assembly.
  • Harness our proprietary knowledge graph to optimize the customer journey.
  • Advance internal text-to-image generation capabilities tailored to customer-specific content.
  • Employ historical data to forecast software project price and timeline.
  • Optimize developer workforce allocation to align with customer demand and business metrics.
  • Analyze dependency structures and identify bottlenecks in the software development life cycle.
  • Automate quality assurance processes and cloud resource allocation in software development.

Requirements

  • 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.

Benefits

  • Attractive quarterly OKR bonus plan or commission scheme dependant on your role.
  • Stock options in a $450 million funded Series D scale-up company.
  • 24 days annual leave + bank holidays.
  • 2 x Builder family days each year.
  • Time off between Christmas and New Year.
  • Generous Referral Bonus scheme.
  • Pension contributions.
  • Private Medical Insurance provided by AXA.
  • Private Dental Insurance provided by Bupa.
  • Access to our Perkbox.

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