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 are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate about working on unstructured business problems that can be solved using data and are excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

We are looking for a technical Client Partner for our Pharma & Life Sciences practice. An ideal person would have experience in business solutioning within the Pharma & Life Sciences space, encompassing not just DE, BI, or GenAI, but also one who can apply solutions from both a technical and business perspective. We see a proactive professional who is more interested in engaging in meaningful conversations with clients, resulting in increased business opportunities. You will have a dual responsibility of managing and growing existing accounts, as well as generating new leads/business in the Pharma & Life Sciences space. If you're passionate about technology and bringing it in to benefit clients, we would like to speak with you.

Key Responsibilities

As a Commercial Analytics Analyst, you will play a critical role in supporting and enhancing the Commercial team's strategic efforts by:

· Preparing financial models and conducting in-depth analysis to evaluate various high-stakes transactions, including:

o   Vessel sales and purchases

o   Equity raises

o   Profit-sharing agreements

o   Investment in new maritime technologies

o   Vessel financing and refinancing

· Managing and coordinating various commercial projects to ensure timely and efficient execution

· Preparing presentations for both corporate and project-related initiatives, tailored to different stakeholders

· Maintaining comprehensive records for market research and business intelligence purposes, ensuring access to up-to-date data for decision-making

· Facilitating communication between departments to ensure smooth project flow and alignment across teams

Key Skills & Attributes for Success

To excel in this role, you will need to demonstrate a high level of analytical ability, exceptional attention to detail, and a proactive mindset. Success in this role will depend on your ability to manage complex, high-pressure situations while remaining organized and effective.

Position Overview

AHOY is seeking a motivated and enthusiastic Marketing Intern to join our dynamic team. This internship provides an excellent opportunity for individuals interested in gaining hands-on experience in various aspects of marketing within a technology-focused environment. As a Marketing Intern, you will support our marketing team in executing campaigns, creating content, and analyzing performance metrics, all while learning about the digital marketing landscape.

Requirements

Responsibilities

• Assisting in the development and execution of marketing campaigns across various channels (social media, email, content marketing, etc.).
• Creating engaging content for social media, blog posts, and other marketing materials.
• Conducting market research to identify trends and opportunities.
• Supporting the team with administrative tasks, including scheduling, reporting, and organizing marketing materials.
• Monitoring and analyzing campaign performance through data tracking and reporting tools.
• Participating in brainstorming sessions for new marketing initiatives.
• Helping maintain the company’s social media presence and engage with our audience.

Qualifications

At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth. 

Quento Technologies, the ICT services arm of QUALCO Group, seeks a highly motivated and experienced Presales Senior Bid Manager to lead and deliver bids for the International Organisations market. The position is pivotal in ensuring the company’s competitive edge in responding to complex RFPs and crafting winning solutions for high-profile clients including the Institutions and Agencies of the European Union (EUIs), United Nations (UN), World Bank and NATO.

Tiger Analytics is looking for an experienced Principal Data Scientist 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. You will be responsible for:

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, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate about working on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Responsibilities

Tiger Analytics is looking for experienced Senior 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 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 a 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 several Fortune 100 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 analytics global consulting team in the world.

This role will be responsible for Databricks Architecture, Designing and implementing best data practices.

Requirements

• Strong Experience in Data Architecture, specifically with Databricks Architecture.
• Expert in Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow), AWS, Snowflake, and Apache Iceberg.
• Strong MLOps & CI/CD Expertise
• Proficient in Python/Scala (Spark) for data governance, security, and enterprise data platform design.
• Databricks certifications and GenAI architecture experience preferred.

Key Responsibilities:

Tiger Analytics is looking for experienced Machine Learning Engineers 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. You will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

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

Description

Tiger Analytics is a 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 several Fortune 100 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 analytics global consulting team in the world.

This role will be responsible for Architecture, Designing and implementing best data practices on the Azure platform.

Requirements