You’ll work across different industries, tackle challenging technical problems, and explore new technologies while turning complex requirements into effective solutions. Working closely with clients and key stakeholders, you’ll have the opportunity to broaden your expertise, influence project outcomes, and make a meaningful impact across a variety of exciting technical environments.

You will work on both ongoing operations and database initiatives while offering specialised technical support for Oracle, MySQL, and Exadata environments.

The data ingestion pipelines, web scraping engine, and AI-driven extraction workflows that feed straight into your models are owned by our data engineers, with whom you will collaborate closely. You will work together to develop solutions from proof of concept to production.

From inspiration and research to production deployment, you will be in charge of the entire process. You will work on difficult and significant issues like ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration as a member of one of many hiring teams (Mapping, Matching, Pricing, or Supply).

In your role as Data Science Manager, you will oversee a group of scientists who use thermal infrared and multispectral satellite data to estimate crop development, evapotranspiration, and plant-water interactions. You'll spearhead advancements in data fusion techniques, vegetation stress indices, and surface energy balance modelling. The company's scientific outputs will be reliable, scalable, and in line with business and mission goals thanks to your leadership.

You’ll dive into the complexities of financial markets, uncovering hidden trading patterns and developing powerful quantitative models to sharpen execution strategies and improve risk decisions. Blending advanced research with hands-on work across real-time market data and trading infrastructure, you’ll turn market insights into smarter, data-driven strategies, with a particular focus on MetaTrader 5.

In order to deliver an excellent customer experience, you will take part in internal trainings and learn everything there is to know about VAT. Additionally, you will use country-specific guidelines to generate indirect tax reports for our international clients by analysing complex VAT data.

To transform complicated contract data, vendor information, and negotiation history into trustworthy insights, you will collaborate with AI developers, product teams, and procurement specialists.

You will take ownership of the entire modelling lifecycle, including feature engineering, model selection, validation approach, uncertainty quantification, and production deployment. You will create multivariate commodity price prediction models from scratch for energy, metals, agricultural inputs, and industrial materials.

This organization is looking for a data analyst to assist them in analysing and gaining insights from their data, as well as to develop ways to strengthen their business procedures and increase operational efficiency.

In order to provide actionable insights that promote operational efficiency and business outcomes, the Data and AI Analyst will be in charge of obtaining, analysing, and interpreting complex datasets. The position supports the company's managed IT, cybersecurity, and cloud service operations and calls for practical knowledge in data analytics, AI/ML model creation, and data pipeline architecture. In order to build data-centric solutions that facilitate automation, efficiency,

You will create and manage the backend services that link our frontend, databases, identity systems, AI agent, and other data sources as a member of this team. In order to keep the Quant team's agent and evaluation systems dependable, scalable, and observable in production, you will construct and manage the data pipelines and infrastructure.

You will oversee the processing of client data (extracted from SAP, Oracle, Navision, or other ERP systems), modify data formats, set up auto-population of missing data, and use specialised software to convert and reconcile clients' tax data.

In order to deliver an excellent customer experience, you will take part in internal trainings and learn everything there is to know about VAT. In order to generate indirect tax reports for our international clients using country-specific guidelines, you will analyse complex VAT data.

Through data collection, analysis, and documentation, you will support ad hoc analysis requests and Continuous Improvement programs. Additionally, you will update and maintain databases, dashboards, reports, and Excel trackers.

You will develop account plans, choose the best entry points, manage multi-threaded outreach that demonstrates a true understanding of a business, and own strategic outbound into a handpicked list of high-value targets. This is the place to be if you want to enter the arena during one of the most thrilling times in AI.

You extract data on your own from BigQuery, GA4, Shopify, and Google Ads. You create the test, perform the statistical analysis, and provide a recommendation that is sufficiently clear for development, marketing, and UX to implement it within the same week. Program managers and general analysts who lack practical technical and experimental skills will not be a good fit.

The main technical point of contact between our internal engineering teams and outside finance partners is the Integration Analyst. You will be in charge of converting intricate PSP requirements into exact technical specifications, making sure that all integrations—from card processing to new payment methods—meet our exacting criteria for dependability and business value and are structurally sound.

You will work with actual customer quality standards and translate them into exact, verifiable instructions that LLMs can consistently score.

In order to provide actionable insights that promote operational efficiency and business outcomes, the Data and AI Analyst will be in charge of obtaining, analysing, and interpreting complex datasets. The position supports the company's managed IT, cybersecurity, and cloud service operations and calls for practical knowledge in data analytics, AI/ML model creation, and data pipeline architecture. In order to build data-centric solutions that facilitate automation, efficiency,

Leading international companies in a variety of sectors, including banking and finance, insurance, government, telco, media, and FMCG, will collaborate with you. Supporting the Practice Lead in capability growth and delivery quality, the function is divided into 20% leadership duties and 80% technical project delivery.

To take charge of our AutoQA product's evaluation and quality loop, we are seeking a bright, analytical data scientist. We have space and a clear path for you to advance, even if you're just starting out in your profession (recent graduates with solid LLM foundations are welcome).

You'll Develop and refine retrieval pipelines for large-scale production search systems, You will Work on candidate generation, query processing, matching, filtering, and retrieval methods, Finally, You will refine search relevancy, result coverage, and overall SERP quality.

For a new aviation weather center, the Chief Meteorologist will be the lead meteorologist and head of the forecasting team in addition to hiring, interviewing, and helping to choose the meteorology team. They will also be in charge of weather quality and operational performance. Additionally, they will start from scratch when creating the roster of aviation forecasters and shift supervisors.