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.

To enhance measurement, analysis, and decision-making in complex data contexts, we are looking for a data analytics specialist to join our Data & Marketing Tech Team. In order to deal with various data sources, explore business challenges, and support dependable, scalable analytical workflows, this position integrates data analysis, data research, and applied AI automation.

In addition to analysing market fundamentals including supply, demand, pricing behaviour, flows, and pertinent regulatory updates, you will assist traders in your assigned market team in creating and improving trading strategies.

Large datasets from market, fundamental, and operational sources will be gathered, cleaned, and organised by you. You will also create and verify predictive models (such as demand and wind generation) to support trading strategies.

Senior and mid-level ML engineers and data scientists are needed. You will be in charge of every step of the process, from research and ideation to production deployment. You'll 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 several hiring teams (Mapping, Matching, Pricing, or Supply).

We are seeking adaptable Data Scientists to join us at a critical juncture in our expansion. A "one-size-fits-all" data profile is not something we support. We appreciate a variety of technical perspectives, regardless of whether you

In order to spot fraudulent activities, such as fraudulent registrations, incentive misuse, traffic manipulation, and duplicate or fraudulent client acquisitions, you will keep an eye on CPA campaigns, affiliate activity, and client acquisition channels.

Ensuring data accuracy, interpreting trends, and offering practical insights to enhance organizational decision-making are among the primary responsibilities. By seeing chances to boost productivity, maximize performance, and promote company expansion, the analyst is required to go above and beyond regular reporting.

You will be instrumental in creating the first functional, habit-forming speech interface that can accommodate a billion users as an ML scientist. Our technical team members are in charge of developing infrastructure to manage <500ms LLM inference for millions of requests from all over the world, scaling the personalization of our speech models and LLMs, and experimenting and designing new features for our voice interface.

You will look into and evaluate incidents of suspected onboarding fraud, including the use of high-risk devices or anonymization techniques, account farming, multiple accounts, referral or bonus abuse, and synthetic identities.

Connecting business needs with data-driven insights is a crucial function of the BI Data Analyst. Gaining a thorough understanding of data flow across systems, from its source to its conversion into useful information, is essential for this role.

To assist with the creation and deployment of extensive modern data platforms, business intelligence (BI), and analytics solutions for our clients, our client is looking for a skilled data architect. This position is quite technical and necessitates a deep comprehension of data architecture and modeling principles. Strong analytical, problem-solving, and planning abilities are also required. Along with the drive to succeed in a fast-paced workplace, effective communication an

You will work with actual client quality standards and translate them into exact, verifiable guidelines that LLMs can consistently score. Additionally, you will do trials that move accuracy. Use LangSmith with BigQuery to create and carry out evaluation experiments on sizable, representative datasets, and monitor quality using our performance metrics.

We are seeking adaptable Data Scientists to join us at a critical juncture in our development. There is no "one-size-fits-all" data profile, in our opinion. You will work with a group that values "AI-First" design and development. If a problem needs to be thoroughly debugged more than once, it's time to automate it. We want people who enjoy doing this. While maintaining a focus on business results, we aim for high standards.

The code that drives our production environment will be designed, implemented, scaled, and maintained by you. With genuine creative freedom, you will mold the next generation of our data and backend platform, integrating pipelines, cloud infrastructure, APIs, and self-managed systems to produce quick, dependable, and powerful systems.

We are looking for a data analyst that is passionate about finding growth-promoting insights. This crucial position is for a highly analytical person who will employ in-depth user behavior analysis and sophisticated predictive modeling to directly impact our product, rewards, marketing, and user acquisition efforts.