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 technologies, the platform provides tailored, exclusive insights that support our clients in achieving performance and efficiency.

About the role: At Signal, we are committed to finding people who are respectful, inclusive, and team players, embodying these values in every role.

What you will do in this role:

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.

If you are passionate about leveraging analytics consulting to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionising the healthcare landscape through advanced analytics.

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 has 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 data analytics background.

Responsibilities:

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 experienced Product Manager with release management, data analytics, and end-to-end delivery of mobile or web applications. The ideal candidate will have hands-on experience working in the Oil & Gas industry and a proven track record of managing complex, customer-facing initiatives. This role requires close collaboration with cross-functional teams and strong stakeholder management skills. The candidate must be able to work onsite in Houston, TX, five days a week.

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. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We seek someone with a good blend of business consulting skills and a data analytics background to add to our team.

Responsibilities:

• Apply advanced Data Science and MLOps techniques to solve key business problems.
• Collaborate with client stakeholders to translate business needs into high-level analytical solution designs.
• Present insights and solutions to business leaders, demonstrating impact and value.
• Manage analytics projects and coordinate with global client and Tiger teams.
• Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions.
• Build and maintain strong client relationships to support account growth.
• Partner with technical teams to select appropriate analytical methods and generate actionable insights.
• Communicate results to senior leadership and support the operationalization of analytics solutions.

Requirements

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 Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. 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

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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 looking for a dynamic and experienced NLP/NLU Data Scientist to join our innovative team. In this role, you’ll be at the forefront of enhancing our AI-driven platforms by analyzing customer interactions and providing actionable insights that directly impact product improvement. As a key member of our team, you’ll work closely with bot developers, product managers, and other stakeholders to improve the Natural Language Understanding (NLU) of our chatbots and voice bots. Your insights will guide the development of new product features, while also helping us identify customer pain points to enhance the overall customer experience. This is an exciting opportunity to leverage your expertise in data science, NLP technologies, and Generative AI to make a tangible impact on the evolution of our AI platforms.

Key Responsibilities

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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 looking for a dynamic and experienced NLP/NLU Data Scientist to join our innovative team. In this role, you’ll be at the forefront of enhancing our AI-driven platforms by analyzing customer interactions and providing actionable insights that directly impact product improvement. As a key member of our team, you’ll work closely with bot developers, product managers, and other stakeholders to improve the Natural Language Understanding (NLU) of our chatbots and voice bots. Your insights will guide the development of new product features, while also helping us identify customer pain points to enhance the overall customer experience. This is an exciting opportunity to leverage your expertise in data science, NLP technologies, and Generative AI to make a tangible impact on the evolution of our AI platforms.

Key Responsibilities

AI Agent Engineer (Remote)

A rapidly scaling leader in the telehealth and AI space is seeking an AI Agent Engineer to join their remote team. We are committed to leveraging technology to improve access to essential services and are looking for a hybrid problem-solver to drive our next phase of AI-driven workflow transformation.

This full-time, remote (US-based) role is critical for expanding agentic workflows that reduce manual effort and improve service accessibility. You will be instrumental in the end-to-end lifecycle of our AI agents, from initial discovery to operational management and continuous improvement.

We are looking for a unique combination of skills:

• The Investigator: Dive deep with stakeholders (end-users and executives) to map existing workflows, identify pain points, and translate messy processes into precise agent tasks, policies, and success metrics.
• The Sprinter: Rapidly develop and deploy agents using a low-code AI agent orchestration environment. You'll manage a roster of 15+ agents, driving their continual improvement and measurable impact.
• The Technician: Traverse internal APIs and self-serve to build and refine internal API action endpoints, safely integrating agents into our technical ecosystem.

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects.

The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making.

Responsibilities-

1. Work in a consulting engagements focused on leveraging Generative AI and Machine Learning to solve complex business problems in banking risk and compliance.

2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.

3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.

4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Requirements