Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Senior/Lead Data Scientist with strong expertise in advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, modelling and EDA experience solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Signal is a group of companies offering products and services in commercial shipping. We combine our deep knowledge of shipping with our passion for applied science, technology and modern management methods.

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. Insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Principal Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management, and leadership. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that supports our clients in improving performance and efficiency. Insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities our solutions leverage or can be directly embedded in our client’s system topologies.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We're looking for a Senior Full Stack Engineer with experience in React, someone who is curious, proactive, and passionate about building high-quality digital solutions. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Technology Stack

Senior Data Engineer - AI-First Fintech Platform

Location: Remote - Fully Remote - Across Europe

Compensation: $120K - $140K

We are a rapidly growing fintech and crypto platform undergoing an AI-first transformation. We are seeking a strategic, high-impact, and high-ownership Senior Data Engineer to build the foundational data infrastructure that powers our cutting-edge AI features.

You will report directly to the CTO and work closely with our Machine Learning (ML) team to consolidate and govern our data ecosystem (including PostgreSQL, Kafka, BigQuery, and GCS) into a clean, governed, and ML-ready platform. Your contributions will directly enable critical AI functionality across our product suite.

This role is responsible for the end-to-end design, implementation, and governance of our core data platform, ensuring high performance and readiness for ML applications.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

Senior Data Scientist – DeFi Economic Risk & Security

Location: Remote - Preference is in Europe to overlap 5hours with EST timezone

Compensation: $130K - $150K

Join a pioneering company that provides the first automated, on-chain economic security system for crypto protocols. Our platform is trusted by leading DeFi protocols, collectively securing and managing billions of dollars in assets, by utilizing world-class custom EVM simulations to optimize risk management and capital efficiency. This is a high-impact role at the intersection of quantitative finance, data science, and decentralized technology.

As a Senior Data Scientist, reporting directly to the Head of Economic Risk & Strategy, you will be a critical driver of our modeling capabilities and data insights across the decentralized finance ecosystem. You will lead innovative research to understand market actor behavior and model these dynamics within our advanced simulation platform.

Your Mission & Responsibilities:

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Requirements

About Signal Ocean

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that supports our clients in improving performance and efficiency. Insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities our solutions leverage or can be directly embedded in our client’s system topologies.

About the role

Shipping remains one of the world’s most complex and under-digitized sectors - a space where data and digitisation can make a profound difference. In an era defined by global disruptions, from sanctions to supply chain challenges, innovation in this field directly shapes how the world moves goods and commodities. At Signal, we look for people eager to explore this vast, often overlooked domain, and to help build technologies that bring clarity, efficiency, and intelligence to maritime commerce and global trade.

Domain Mastery via Rotation

We don't believe in keeping designers in silos. To design for shipping, you need to understand the whole lifecycle.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes. The ideal candidate will have strong capital markets domain expertise, hands-on data analysis skills, and the ability to bridge business requirements with technical delivery teams.

Key Responsibilities

Capital Markets & Trade Lifecycle:

• Analyze and document business processes across equities, fixed income, and derivatives products.
• Support end-to-end trade lifecycle analysis and process optimization.

Reference Data & Master Data Management (MDM):

• Contribute to golden-source reference data design and attribute hierarchies.
• Support data modeling, data lineage mapping, and corporate action workflows.

Data Quality & Controls: