• Location: Fully Remote (UK)
• Salary: £55,000 - £60,000
• Reports to: Head of Product

The Opportunity

We're building a Content Intelligence (CI) pipeline - an AI-powered system that classifies articles, extracts entity references, and feeds a curated canonical database that our downstream products depend on.

The Data Curation Lead owns the quality and integrity of that database.

This is not an engineering role. You won't be building the pipeline. You'll be working with it - shaping the taxonomies and controlled vocabularies it classifies against, managing the curator workspace where extracted entities become managed records, and using AI tools to do that work better, faster, and at greater scale than any manual process could.

The pipeline produces raw material. You turn it into something clean, structured, and trustworthy.

You'll report to the Head of Product and work very closely with the CEO, who brings deep subject matter expertise in legal content intelligence and will be a hands-on collaborator on this work - particularly on taxonomy design, classification logic, and how the data ultimately serves clients.

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.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

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.

Job Summary

We are seeking a highly skilled Principal Data Architect to design and implement our next-generation data ecosystem. You will lead the technical strategy for end-to-end data management, data warehousing, and IoT ingestion pipelines. The ideal candidate brings mastery in cloud data platforms (Azure or AWS) and advanced data governance.

Key Responsibilities

Data Architecture: Design Databricks-driven enterprise data warehousing (EDW), lakehouse, and business intelligence (BI) systems.

IoT & Stream Ingestion: Build scalable pipelines using Azure Hub, Device SDK, DPS, and Stream Analytics.

Data Management: Implement information lifecycle management (ILM) from data ingestion to archiving.

Data Strategy: Define, build, and enforce global data governance and master data management practices.

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.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

We are looking for a results-driven Senior Analytics Consultant with a strong background in healthcare payer data and technical expertise in SQL, Python. In this role, you’ll work closely with stakeholders to uncover insights from complex datasets, develop impactful data solutions, and support strategic decision-making across healthcare payer organizations.

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, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets

Job Duties:

The Research Analyst will provide research and analytical support to the IT-Non-IT Workgroup (ITW) within the Veterans Health Administration (VHA). This role is critical in facilitating the IT and non-IT-related initiatives by offering comprehensive research, analysis, and report preparation for decision-making.

The Research Analyst will work closely with various stakeholders to ensure the accurate delivery of project goals by supporting funded and unfunded IT/non-IT initiatives within VHA. This individual will engage in frequent interaction with VHA IT governance bodies and play a pivotal role in ensuring the success of key projects.

Key Responsibilities:

About the Role

We are seeking an experienced Senior Databricks Data Quality Engineer to lead the design, implementation, and automation of enterprise-scale data quality frameworks within a Databricks environment. The successful candidate will play a key role in establishing data quality controls, profiling frameworks, remediation processes, and AI-assisted quality monitoring across a large-scale data platform consisting of 170+ datasets and over 1,300 Critical Data Elements (CDEs).

This role requires strong expertise in Databricks, PySpark, Delta Lake, MLflow, and modern data quality management practices.

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Job Overview

The Digital Marketing, CRM & Loyalty Lead will be responsible for driving app marketing initiatives, CRM and lifecycle marketing programs, loyalty operations, data analysis and reporting, and managing relationships with key vendors and stakeholders.

Gritter Francona is seeking an IT Asset Management Research & Data Analyst to support a federal Information Technology Asset Management (ITAM) program. This role will provide data analysis, reporting, dashboarding, and performance measurement support for an enterprise ITAM effort focused on improving asset accountability, lifecycle visibility, data quality, compliance, and operational decision-making.

The Research & Data Analyst will analyze ITAM-related data across hardware asset management and software asset management workstreams, develop reports and visualizations, identify trends and anomalies, and support data-driven recommendations for program leadership. The ideal candidate is a strong data analyst who can work with large or complex datasets, translate data into clear insights, and produce accurate, client-ready reporting products.

Responsibilities

Location: Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European regions will be expected to work EST hours with a 5 hour overlap.

Remote/Hybrid | Full-time

Compensation: $140K - $200K

We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI-focused engineering team. The client develops advanced intelligence and analytics solutions designed to help participants in digital asset markets make more informed decisions by combining financial data, automation, and modern AI technologies to transform complex information into actionable insights.

In this role, the successful candidate will work closely with product, research, and engineering leadership to develop next-generation, AI-powered financial applications. This is a highly collaborative position that requires strong ownership, technical depth, and the ability to move quickly from concept to production.

Key Responsibilities

Full-Stack Product Development