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- Tasks: Create innovative data solutions that deliver real value to clients using advanced technologies.
- Company: Join Signal Ocean, a tech leader in shipping and commodities insights.
- Benefits: Competitive salary, health coverage, hybrid work, and personal learning budget.
- Why this job: Be at the forefront of data science, driving impact in a dynamic industry.
- Qualifications: 5+ years in data roles, strong Python and SQL skills, client-facing experience.
- Other info: Enjoy career growth, mentorship, and regular team bonding activities.
The predicted salary is between 46800 - 78000 £ 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.
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 & 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.
Requirements:
- 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:
- 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.
Forward Deployed Data Scientist employer: Signal
Contact Detail:
Signal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Data Scientist
✨Tip Number 1
Get to know the company inside out! Research Signal Ocean's products and how they help clients in shipping and commodities. This will not only impress during interviews but also help you tailor your discussions to show how you can add value.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and even lead to referrals, which can double your chances of landing that interview.
✨Tip Number 3
Showcase your problem-solving skills! Prepare examples of how you've tackled complex data challenges in the past. Be ready to discuss how you can apply those skills to help Signal Ocean's clients achieve their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Signal Ocean team.
We think you need these skills to ace Forward Deployed Data Scientist
Some tips for your application 🫡
Show Your Data Passion: When you're writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've used data to solve real-world problems, especially in client-facing roles. We love seeing candidates who are genuinely excited about using data to drive value.
Tailor Your Application: Make sure to customise your application for the Forward Deployed Data Scientist role. Highlight your experience with Python, SQL, and APIs, and explain how these skills can help us deliver client-centric data solutions. A tailored application shows us you’re serious about joining our team!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your experiences and achievements. We appreciate candidates who can communicate complex ideas simply, as this is key when working with clients and technical teams.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Signal Ocean and what we do before you hit 'send'!
How to prepare for a job interview at Signal
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Python, SQL, and APIs. Brush up on your skills and be ready to discuss how you've used these technologies in real-world scenarios.
✨Understand Client Needs
Since this role is client-facing, think about how you can demonstrate your ability to uncover and address client needs. Prepare examples of past experiences where you successfully identified a problem and delivered a data solution that added value.
✨Showcase Your Business Acumen
This position requires a strong understanding of how data drives business decisions. Be prepared to discuss how you've applied your data skills to solve complex business problems and how you can translate technical insights into actionable strategies for clients.
✨Engage with the Company’s Vision
Familiarise yourself with Signal Ocean's products and their impact on the shipping industry. During the interview, express your enthusiasm for their mission and how you see yourself contributing to their goals, especially in terms of innovation and client success.