Harnham

Harnham

Machine Learning Engineer - Founding Team

New York, NY | $185K - $200K

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Company information

Established in 2006, Harnham originally emerged as a specialized recruitment and talent organization catering to the Data, AI, and Analytics sectors. Over the years, our organization has undergone a significant transformation, solidifying our position as the premier global leader in providing data talent solutions. With a workforce of over 400 professionals spanning the United States, Europe, and the United Kingdom, we have established ourselves as the go-to provider for all your data talent requirements. Whether you aim to construct or enhance your data teams, we offer end-to-end solutions that cover every aspect. With our extensive expertise in talent acquisition, search methodologies, and deep understanding of the data field, we are the ideal partner to meet your specific needs. Our comprehensive range of services is designed to cater to businesses of all sizes. Our unique networking style has meant that we’ve established a client and candidate base built on trust, focus, and efficiency. As a result of this, our clients have given us a Net Promoter Score (NPS) of 83, whilst our candidates have given us 88, both far above industry averages. Above and beyond our recruiting services, our annual Salary and Diversity Guides are seen as the go-to resources in our field and are used to benchmark and drive progress by many industry leaders. Additionally, we are closely partnered with two organisations looking to help improve Diversity in the world of Data & Analytics: In2ScienceUK (in2scienceuk.org) and Women in Data (womenindata.org). At Harnham Group, our expertise is data.

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201-500 employees
Information Technology, Finance, Financial Services, Technology, Consulting, Artificial Intelligence, Data Science, Data Analytics, Information Technology and Services, Data Science and Analytics
Privately Held
Last round: Seed
Wimbledon, London
Company Specialties:
Data, Analytics, Marketing Analysis, SQL, Business Intelligence, Credit Risk, Data Management, Big Data, Customer Insight, Computer Vision, Data Science, Data Governance, Data Engineering, Python, Web Analytics, Programmatic, Fraud Analytics, Risk Analytics, Software Engineering, and Artificial Intelligence