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Senior Data Scientist

Domyn

United States

On-site

USD 144,000 - 314,000

Full time

6 days ago
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Job summary

Domyn is seeking a Senior Data Scientist to guide AI model development for financial applications. In this role, you will research and implement cutting-edge machine learning technologies, collaborating with experts to elevate financial institutions' capabilities in trading and compliance while ensuring adherence to responsible AI principles.

Benefits

Competitive salary
Performance-based bonuses
Comprehensive benefits package

Qualifications

  • Advanced degree in a relevant field is required.
  • 7+ years experience in AI and machine learning, 3 in finance.
  • Excellent Python programming skills and experience with data science libraries.

Responsibilities

  • Develop and implement machine learning models for financial applications.
  • Collaborate with financial experts to ensure regulatory compliance.
  • Lead the design of scalable MLOps pipelines.

Skills

NLP
Predictive Analytics
AI Governance
Machine Learning
Python
TensorFlow
PyTorch

Education

Ph.D. or Master's in Computer Science, Finance, Mathematics

Job description

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We are seeking an experienced Senior Data Scientist to lead the development and deployment of AI models tailored for financial applications. This role will focus on building Agentic AI solutions to elevate the capabilities of financial institutions in trading, portfolio risk management, and compliance, ensuring the highest standards of responsible AI model transparency and reliability in AI.

Key Responsibilities:

  • Research, develop, and implement cutting-edge machine learning models, focusing on NLP, predictive analytics, and AI governance
  • Collaborate with Financial SMEs to ensure AI models align with industry practices and regulatory frameworks
  • Design scalable MLOps pipelines for real-time AI applications
  • Lead the research and deliver agentic AI Systems capable of delivering complex tasks such as optimizing portfolio construction and evolving trading strategies
  • Ensure adherence to Responsible AI principles, prioritizing transparency, fairness, and accountability
  • Mentor junior data scientists and provide technical guidance to cross-functional teams


Requirements


Required Skills & Qualifications:

  • Advanced degree (Ph.D. or Master's) in Computer Science, Finance, Mathematics, or a related field
  • 7+ years of experience in AI and machine learning, with at least 3 years in the financial sector
  • Good knowledge in at least one of the following applied machine learning fields: Recommender Systems, NLP, Information Retrieval, Causal Inference, Time Series, Knowledge Graph
  • Experience with Transformer/Attention architecture for text summarization, vectorization, entity extraction and reasoning
  • Superb Python programming skills and experience with data science libraries, e.g., NumPy, Pandas, Scikit-learn, writing efficient production-level code, which is well-written and explainable
  • Proficiency in TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP)
  • Strong understanding of financial workflows, including portfolio management and risk assessment
  • Excellent leadership, problem-solving, and communication skills and overall decency


Benefits


Compensation

iGenius offers a competitive compensation structure, including salary, performance-based bonuses, and additional components based on experience. All roles include comprehensive benefits as part of the total compensation package.

About IGenius

Founded in 2016, iGenius is an AI company specialized in AI products tailored for highly regulated sectors, including financial services, government, and heavy industry. iGenius' flagship product, Crystal, is an AI-powered Decision Intelligence tool for analyzing data in natural language. In addition, iGenius' offer includes two proprietary Large Language Models: Italia 9B, an open-source Italian Foundational Large Language Model, developed with Cineca, and Colosseum 355B, a state-of-the-art LLM powering Agentic AI for regulated industries, built with the latest NVIDIA technology. These two LLMs power a second iGenius product, Unicorn, which supports companies in adopting AI safely and effectively, with custom applications tailored to their needs. In December 2024, iGenius joined forces with NVIDIA to build Colosseum, one of the largest AI supercomputers in the world, powered by Grace Blackwell Superchips.

As one of the top AI unicorns in Europe, iGenius has attracted Fortune 500 companies, including Allianz and Intesa Sanpaolo. Moreover, Gartner has recognized iGenius as a "Cool Vendor" in the AI Core Technologies category and mentioned it in its Market Guide for Conversational AI.

About Domyn

Domyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry. It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture — including LLMs, AI agents, and one of the world's largest supercomputers.

At the core of Domyn's product offer is a chip-to-frontend architecture that allows organizations to control the entire AI stack — from hardware to application — ensuring isolation, security, and governance throughout the AI lifecycle.

Its foundational LLMs, Domyn Large and Domyn Small, are designed for advanced reasoning and optimized to understand each business's specific language, logic, and context. Provided under an open-enterprise license, these models can be fully transferred and owned by clients.

Once deployed, they enable customizable agents that operate on proprietary data to solve complex, domain-specific problems. All solutions are managed via a unified platform with native tools for access management, traceability, and security.

Powering it all, Colosseum — a supercomputer in development using NVIDIA Grace Blackwell Superchips — will train next-gen models exceeding 1T parameters.

Domyn partners with Microsoft, NVIDIA, and G42. Clients include Allianz, Intesa Sanpaolo, and Fincantieri.

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Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    IT Services and IT Consulting

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