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Canoe Intelligence

Sr. Data Scientist

New York
$160k – $180k/yr
Posted 1 day ago
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COMPANY: Canoe Intelligence
WEBSITE: https://canoeintelligence.com/
TITLE: Sr. Data Scientist
LOCATION: New York City or London, UK
SALARY: $160,000 - $180,000 base + bonus (based on NYC, will be adjusted for geo)

The Role:

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. As a Data Scientist at Canoe, you will play a crucial role in mining our large data corpus for new, unique, and compelling insights related to the $10 Trillion alternative investment market.

What You’ll Do:

  • 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.

What We’re Looking For:

  • Proven experience as a Data Scientist, with a focus on private markets and alternative investments.
  • Strong executive presence, with the ability to instill confidence in senior stakeholders and represent the organization with credibility and polish.
  • Expertise in SQL and Python.
  • 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 working with large and complex datasets.
  • Strong skills in data visualization tools (e.g., Tableau, Power BI, D3.js) and techniques.
  • Excellent writing skills, with the ability to create clear and concise reports and documentation.
  • Proficiency in Python.
  • Solid understanding of statistical analysis, machine learning, and predictive modeling.
  • Strong problem-solving skills and attention to detail.
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment.
  • Bachelor’s or Master’s degree in Data Science, Finance, Economics, Computer Science, or a related field.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Preferred:

  • Experience with AWS, Snowflake, Postgres, and MySQL.
  • Familiarity with financial modeling and investment analysis.
  • Experience building and launching B2B products.
  • Experience building products with LLMs, and using AI agents to automate processes.
  • Experience working with Data Engineering teams to clean and productionize data pipelines.
  • An understanding of fund accounting and forecasting models.
  • Experience working in family office, institutional investor or PE/VC environment.

What You’ll Get:

  • Medical, dental, vision benefits
  • Flexible PTO
  • 401(k)
  • Flexible work from home policy
  • Home office stipend
  • Employee Assistance Program
  • Gym/Wifi reimbursement
  • Education assistance
  • Parental Leave

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Our Values:

  • Client First —> Listen, and deliver client-centric solutions
  • Be An Owner —> Take initiative, improve situations, drive positive outcomes
  • Excellence —> Always set the highest standard for yourself and others
  • Win Together —> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction, and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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Skills

SQL
Python
Data visualization
Machine learning
Statistical analysis
Predictive modeling
Private markets
Alternative investments
Tableau
Power BI
D3.js
Financial modeling
Investment analysis
Data engineering
LLMs
AI agents

Location

City of London, England, United Kingdom

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