Senior Data Scientist – AI Analyst

Job not on LinkedIn

🕒 July 29

🇺🇸 United States – Remote

💵 $135k - $170k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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Logo of Vantage

Vantage

201 - 500 employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Vantage is an international online trading group (branded Vantage Markets) that offers access to financial derivative products and investment services through its international entities. The provided text emphasises that the international website is distinct from the FCA-regulated UK entity (Vantage Global Prime LLP) and warns visitors that using the international site does not provide UK FCA protections (e. g. , negative balance protection, leverage limits, FSCS or FOS recourse). The site requires users to acknowledge jurisdictional and cookie notices and states that regulatory protections depend on the relevant local regulator for the specific international entity.

📋 Description

• Build sustainable solutions for our customers using data analysis, machine learning, and generative AI techniques. • Perform cost-benefit analyses to determine the value of a project and assist in estimating the return on investment of deployed analytical and AI solutions. • Identify new data sources—internal and external, structured and unstructured—and quantify their potential value as inputs to AI, ML, and analytical products. • Partner with data engineers to build analytical and model training datasets and with ML ops engineers to operationalize solutions. • Present solution results to the Data, Analytics, and Technology team, as well as business partners across the organization; translate technical work into business outcomes. • Monitor and maintain solutions once deployed; identify opportunities to increase the impact of deployed solutions. • Perform ad-hoc analyses as needed. • Remain current on industry trends, tools, and techniques. • Be a thought partner. Assist in driving or supporting the business problem solving process.

🎯 Requirements

• Bachelor’s degree in a relevant field required • 5+ years of experience in a Data Science, Applied AI, or Applied R&D role • Hands-on experience building solutions with large language models • Strong foundation in statistics, classical machine learning, and experimentation • Strong knowledge of Python and/or R • Strong knowledge of SQL • Hands-on experience with version control systems such as git is a plus but not required • Ability to partner with engineers to operationalize assets in production • Ability to build analytical and AI-powered web applications via e.g. Streamlit, R Shiny, and/or PowerBI, etc. • Insurance or financial services experience strongly preferred

🏖️ Benefits

• performance-based bonus potential • strong health & welfare benefits • retirement plans with company match • competitive time off plans • a highly flexible work environment

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