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Senior Data Scientist

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Onsite

Senior Data Scientist

Canoe

Senior Data Scientist

Skills

SQL QueriesData EngineeringTableauData MiningPythonData ScienceData VisualizationPostgreSQLMySQLSnowflakeMachine LearningAIAWSPower BI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$160,000 – $180,000 / year

Location:

London, UK

Work mode:

Onsite

Published on:

13 August 2026

What they need


  • As a Data Scientist at Canoe, you will play a crucial role mining our large data corpus for new, unique, and compelling insights related to the $10 Trillion alternative investment market
  • Utilize advanced SQL skills and AI tools to extract, manipulate, and analyze data from various sources
  • Analyze and interpret complex data sets related to private markets and alternative investments
  • Develop and implement data models and algorithms to uncover insights and trends
  • Create compelling and easy-to-understand data visualizations to communicate findings to stakeholders
  • Collaborate with cross-functional teams to design and build data-driven products and solutions
  • Stay up-to-date with industry trends and best practices in data science, finance, and technology
  • Work with the Product and Machine Learning teams to develop new strategies for data extraction from unstructured text such as PDF’s

Benefits

  • Health Insurance: From medical dental, and vision to FSAs, HSAs, and more - we’ve got you covered
  • Benefits Stipend: Canoe offers a £6,000 stipend for employees to enroll in their own private benefits.
  • Flexible PTO: Recharge with flexible PTO and paid holidays!
  • In-Person Events: We host regular happy hours and company outings in NYC, London, and Jacksonville. Going to be remote? We also bring our teams together from around the world as we’re able.
  • Hybrid and Remote Work: Most roles at Canoe offer either a Hybrid or a Fully Remote schedule. Find the flexibility you are looking for here.
  • Remote Office Stipend: Need to level up your personal workspace? We offer $750 for any office equipment you purchase (monitors, desk, chair, etc.).
  • Professional Development: Continue to learn and grow, utilizing $1,000 in education reimbursement available annually to each employee. We also offer a robust Learning Management platform and host regular Lunch & Learns.
  • Parental Leave: We provide paid parental leave to all new parents following 6 months of employment.
  • Wellness/WiFi: We reimburse employees up to $100 per month to help cover gym memberships and internet.- We are seeking an experienced and highly skilled Data Scientist to join our team. The ideal candidate will have a deep understanding of private markets and alternative investments, coupled with a strong ability to visualize complex data and communicate insights effectively
  • Expertise in SQL and Python
  • Excellent writing skills, with the ability to create clear and concise reports and documentation
  • Proven experience as a Data Scientist, with a focus on private markets and alternative investments
  • Proficiency in Python
  • Strong executive presence, with the ability to instill confidence in senior stakeholders and represent the organization with credibility and polish
  • Strong skills in data visualization tools (e.g., Tableau, Power BI, D3.js) and techniques
  • Solid understanding of statistical analysis, machine learning, and predictive modeling
  • Experience working with large and complex datasets
  • Bachelor’s or Master’s degree in Data Science, Finance, Economics, Computer Science, or a related field
  • Strong problem-solving skills and attention to detail
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment
  • An understanding of performance measurement for private market investments including drawdown funds, hedge funds, private debt, direct investments in private companies, and other illiquid assets
  • Experience with AWS, Snowflake, Postgres, and MySQL
  • Familiarity with financial modeling and investment analysis
  • Experience working with Data Engineering teams to clean and productionize data pipelines
  • Experience building and launching B2B products
  • Experience building products with LLMs, and using AI agents to automate processes
  • An understanding of fund accounting and forecasting models
  • Experience working in family office, institutional investor or PE/VC environment

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