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Forward Deployed Data Scientist
- London, England, United Kingdom
- London, England, United Kingdom
À propos
4 days ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
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.
About Signal Ocean:
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.
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.
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 & Product Innovation
- Quickly learn and use Signal's products and stack, including SDKs (Python, C#), APIs, (Snowflake) Data Warehouse or other assets
- Learn and become proficient in the client's diverse technical stacks, including anything from MS Excel, PowerBI, SQL, Snowflake, DataBricks, Python and more
- Work closely partnered with Signal's product and data science teams and represent them, their products, standards, processes, priorities, etc.
- Gather, triage and consolidate product feedback and ideas and contribute inputs and insights into the product management cycle
- Get involved and contribute in data design sprints, client metrics, early testing and other types of partnership with Signal's product and data science teams.
API/Data Enablement Assets & Documentation
- Shape how Signal's data services are marketed, discovered, learned (internally by Signalers and externally by clients), and utilized
- Develop sales and client success enablement assets so that repeatable processes, relevant common examples, etc are easy to deliver and digest by all
- Help create a fast and efficient API/data client onboarding playbook
- Maintain, improve and extend API/data technical documentation
- Help describe Signal's API/Data roadmap and vision to clients
Usage Intelligence & Feedback Loops
- Track client usage across APIs and data products; 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.
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.
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 & shipping business who are always eager to mentor.
- Signal's hybrid work policy currently includes 6 working days at premises per month
- 2-4 weeks of onboarding training to prepare you for your new role, having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world.
- Career growth opportunities and a structured development discussion every 4 months.
- Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority).
- Regular team bonding events and activities.
- Seniority level Mid-Senior level
- Employment type Full-time
- Industries Software Development
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