You will operate at the intersection of data science, product management, and technical sales to deliver high-impact solutions for enterprise clients. By prototyping data products and utilizing Signal’s advanced SDKs and APIs, you will drive immediate client value while feeding critical usage intelligence back into the product roadmap to accelerate innovation.
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Forward Deployed Data Scientist/Engineer at Signal
Signal is looking for a Forward Deployed Data Scientist to bridge the gap between advanced AI and enterprise shipping clients. This isn't a typical backend role; you'll be on the front lines, prototyping bespoke data solutions and influencing product strategy for a global leader in maritime technology. If you have 5+ years of experience and love solving high-stakes problems with Python and SQL, this is your chance to drive real-world impact in a high-growth environment with structured career mentorship and a dedicated learning budget.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Signal
Role overview
The Signal Group is a diversified shipping services group established in 2014, with headquarters in Athens, Greece, and offices in London. The company leverages deep shipping expertise and advanced analytics technologies to innovate in shipping and commodities trading. Through its entities such as Signal Maritime, Signal Ocean, and Signal Ventures, The Signal Group combines traditional maritime practices with modern technologies, offering services that span ship management, data-driven analytics, and venture capital in maritime tech. Its platforms and APIs aim to enhance the efficiency and transparency of shipping markets by providing reliable datasets and advanced tools for industry professionals.
What you will do
- Design, prototype, and deliver custom data solutions that solve complex friction points for enterprise shipping and commodity trading clients.
- Act as a technical advisor to help clients integrate Signal’s unique data assets into their own stacks like Databricks, Snowflake, or PowerBI.
- Collaborate with internal engineering teams to triage product feedback and shape the long-term API and data product roadmap.
Who this is a fit for
- 5+ years of experience in data-heavy roles such as Data Engineering, Data Science, or API development in a commercial setting.
- High proficiency in Python, SQL, and API schemas with the ability to translate technical concepts for business stakeholders.
- Proven track record of operating in client-facing environments and a passion for solving high-value, real-world problems in complex industries.
Why this role is remarkable
- Rare hybrid position blending deep technical data science with strategic client-facing architecture at the center of the global shipping economy.
- Direct access to a world-class technology stack including Snowflake warehouses, Python/C# SDKs, and proprietary machine learning models.
- Exceptional structured growth with dedicated professional development discussions every four months and a generous annual personal learning budget.
How Jack & Jill work together
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Signal wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.