M Science Tech Stack

Alternative data research and analytics for financial institutions

Market Research New York, NY 51–200 employees Privately Held

M Science processes unstructured data at scale for financial and corporate clients, running a Python + PySpark + Databricks + Airflow stack optimized for near-real-time analytics. The hiring mix—3 data roles, 2 sales, 1 research—alongside active development of agentic workflows and automated alerting systems indicates a shift toward autonomous data pipelines and AI-driven insight generation, moving beyond manual research processes.

Tech Stack 16 technologies

Core StackSalesforce Python PySpark Apache Spark Databricks Apache Airflow AWS LangChain pandas Tableau SQL LangGraph Dask Polars Excel R

What M Science Is Building

◆Challenges

Vendor-related data issues
Pipeline generation
New sales opportunity identification
Data pipeline resilience
Standardizing tagging
Automating tagging processes
Scalable data ingestion

▲Active Projects

Alternative data panel pipelines
Agentic workflow development
Automated alerting system
Tagging taxonomy development
Automating tagging processes
Development and deployment of statistical models for estimation and prediction of corporate performance across various sectors
Scalable data ingestion pipelines
Agentic workflows for automated insight retrieval
Automated alerting and notification systems

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Data

Sales

Research

Seniority

Senior

Mid

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About M Science

M Science is a data-driven research firm serving financial institutions and major corporations with alternative data insights and analytics. Founded in 2016, the company combines unstructured data processing with financial domain expertise to deliver actionable intelligence for investment and strategic decisions. Operating from New York and Hong Kong with 51–200 employees, M Science structures work around three core areas: alternative data panel pipelines, statistical modeling for corporate performance prediction, and emerging agentic workflows for automated insight retrieval. The company is backed by Leucadia Investments, a division of Jefferies Financial Group.

HeadquartersNew York, NY

Company Size51–200 employees

Hiring MarketsCanada

Frequently Asked Questions

What tech stack does M Science use?

M Science uses Python, SQL, PySpark, Apache Spark, Databricks, and Apache Airflow for data processing, with Salesforce for CRM, Tableau for analytics, and is adopting LangChain and LangGraph for agentic workflows.

What is M Science working on?

Current focus areas include alternative data panel pipelines, agentic workflow development for automated insight retrieval, scalable data ingestion, and automated alerting systems—with tagging standardization and pipeline resilience as active pain points.