At a Glance
- Tasks: Design and deliver data solutions that create real value for clients using advanced technologies.
- Company: Join Signal Ocean, a tech leader in shipping and commodities insights.
- Benefits: Competitive salary, health insurance, and performance incentives.
- Other info: Collaborate with experts and grow your career in a fast-paced industry.
- Why this job: Be at the forefront of data science and client success in a dynamic environment.
- Qualifications: 5+ years in data roles with strong client-facing experience and technical skills.
The predicted salary is between 63000 - 77000 £ per year.
Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client's system topologies.
Summary: Signal is looking for a Forward Deployed Data Scientist to join our high-growth team. This is not your typical data role—you'll sit at the crossroads of data science, sales engineering/technical sales, client success and product management, working closely with enterprise clients to design, prototype, and deliver data solutions that quickly generate client value using Signal's technologies and data—while also accelerating adoption, driving revenue, and feeding insights back into the product for improvement.
What You'll Do:
- Client-Centric Data Solutions for fast time-to-value
- Collaborate with clients, sales, and client success teams to uncover pressing real-world data needs and/or friction points, early in the commercial process.
- Discover, prototype, validate, build, deliver and support working data solutions that materialize client value as quickly and as early as possible.
- Accumulate experience and knowledge to act as a trusted technical advisor, helping clients explore, understand, learn and find value in Signal's unique data assets.
- Forward Data Science, Engineering uncover what's working and what needs improvement.
- Reframe underused assets for higher impact and increased adoption.
- Feed real client metrics back into engineering and product roadmaps.
Requirements: What You Bring:
- 5+ years in data-heavy roles (e.g., Data Engineer, Data Analyst, Data Scientist, API developer, etc.)
- You have extensive experience working in client facing roles
- Strong command of Python, SQL, and API schemas—and the ability to explain them clearly.
- Deep experience building or deploying data products in commercial settings.
- Strong business acumen; you get how data is used, not just how it's built.
- Passion for working directly with clients and solving complex, high-value problems.
- Comfortable operating across both technical and commercial teams.
- Experience in cloud infrastructure, software engineering, or analytics frameworks a plus.
- A curious mind—especially if you're excited to learn about industries like shipping and commodities trading.
Benefits: What We Offer:
- Generous compensation with additional performance incentives.
- Coverage under the company's collective health insurance plan.
- Opportunity to work alongside experienced people with deep knowledge in software engineering, data science.
Hiring: Forward Deployed Data Scientist employer: Signal
Signal is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters collaboration and innovation. With a hybrid work model, generous compensation, and a strong emphasis on continuous learning, employees are empowered to grow their skills and advance their careers while contributing to cutting-edge AI-driven data services.
