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.

We are seeking a highly skilled and experienced Senior Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Responsibilities:

Tiger Analytics Inc. is a premier AI and advanced analytics consulting firm focused on delivering innovative and scalable data solutions to leading global enterprises. We empower organizations by leveraging cutting-edge technologies and data-driven strategies. We are looking for an experienced Data Engineering Lead to spearhead the development and deployment of complex data infrastructure, ensuring high-quality data availability for analytics and AI initiatives.

Requirements

• Claude AI Skills for SDLC: Proficiency in utilizing Claude AI throughout the Software Development Life Cycle (SDLC) is essential. This includes hands-on experience with Databricks and Spark/Scala to efficiently process and analyze large datasets. Additionally, expertise in implementing Claude AI solutions within the Azure cloud environment is required, ensuring seamless integration and deployment in cloud-based infrastructures. Candidates should demonstrate the ability to leverage these technologies to optimize development workflows, improve automation, and enhance overall project outcomes.

Benefits

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are looking for a AtScale Semantic Modeling Architect with 10+ years of experience in enterprise data architecture and financial services. The role will focus on designing, developing, and governing enterprise semantic models using AtScale and SML on Snowflake. The ideal candidate will have strong hands-on experience with AtScale Semantic Layer, SML, Snowflake architecture, semantic modeling, enterprise BI, and banking/financial data.

Responsibilities:

Location: Remote - Remote in France

Remote | Full-time

Compensation: $50K - $65K

We are hiring on behalf of our client, a high-growth, innovative financial technology organization is seeking a highly analytical and execution-driven Strategy & Operations Manager to serve as a core engine room of the business. Operating alongside the founding team and product leadership, the successful candidate will play a pivotal role in driving, evolving, and executing the enterprise’s long-term strategic vision. This position demands exceptional speed, operational efficiency, and an uncompromising eye for detail to ensure success across the entire product ecosystem.

The ideal candidate is a self-guided professional driven to resolve complex, ambiguous challenges that define and disrupt industry standards. This role represents an opportunity to contribute directly to a novel paradigm within the FinTech sector, collaborating with exceptional minds to build scalable, institutional-grade operations from the ground up.

Key Responsibilities

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, 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.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Key Responsibilities-

We are looking for an experienced and motivated Senior Site Reliability Engineer (SRE) to join our team. In this role, you will be responsible for the reliability, scalability, performance, and stability of our systems and applications. You will work closely with cross-functional teams to automate processes, improve infrastructure, and support continuous product delivery.

Requirements

- Minimum of 3 years of experience in a similar SRE role;

- Strong proficiency in monitoring, logging, alerting, cloud, platform, OS, CI/CD, repostorage, and management tools;

- Solid understanding of DevOps principles and practices;

- Bachelor's degree in Computer Science, Engineering, or a related field;

- Excellent problem-solving and troubleshooting skills;

- Strong communication and collaboration skills.

Responsibilities:

- Implement and maintain monitoring solutions using Prometheus, Victoria-Metrics, and Grafana to identify and address performance issues proactively;

- Manage logging infrastructure using Vector, ElasticSearch, and Kibana, ensuring efficient log collection, analysis, and visualization;

Location: New York, United States • Miami, United States • California, United States (Hybrid) - On site in NYC - main preference, will consider candidates from Miami and California. IF IN CALIFORNIA, THE EXPECTATION IS THAT CANDIDATES WILL RE-LOCATE TO NYC WITHIN 6 MONTH.

Hybrid/On-Site | Full-time

Compensation: $120K - $200K

We are hiring on behalf of our client who is a high-growth fintech organization building the onchain broker layer for global markets. Backed by over $27M in funding from premier venture capital firms like General Catalyst and Jump Crypto, the company has processed $50B+ in trading volume and generated significant revenue within the last year. Operating as a lean, high-velocity team, our client is currently scaling its operations to meet the demands of high-volume macro traders.

The organization is seeking a Talent Operator to serve as the first dedicated internal talent hire. This is not a traditional recruiting role; it is a strategic "internal engine" position designed for an individual who views talent acquisition as a complex operational puzzle. Working directly with the founding team, the Talent Operator will build the infrastructure necessary to scale the company toward 200 employees, with a clear trajectory for professional advancement.

Key Responsibilities

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. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

We have an urgent requirement for an International Commercial Data & Analytics SME/Lead role based out of the London (Paddington) office. This is a strategic business-facing role, not a pure engineering/reporting position.

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 looking for a Manager / Sr. Manager – Manufacturing Analytics to lead high-impact, client-facing analytics engagements. This role is centered on delivering ad hoc, insight-driven analysis across key business areas, including margin performance, sales and pipeline analytics, marketing effectiveness, market intelligence, and digital user journeys.

A significant portion of this role (70–80%) will involve building and presenting Weekly Business Review (WBR) decks for senior leadership, and conducting deep-dive analyses to uncover trends, risks, and opportunities. The remaining time will be dedicated to designing and developing scalable dashboards in Looker and other BI tools to drive business adoption and self-service analytics. This is a highly visible role requiring strong storytelling, stakeholder management, and the ability to translate complex, ambiguous data into clear business recommendations.

Key Responsibilities

Tiger Analytics is looking for experienced Data Scientists GenAI 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.

We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Responsibilities: