At a Glance
- Tasks: Collaborate with clients to design and deliver impactful data solutions.
- Company: Join Signal Ocean, a tech leader in shipping and commodities insights.
- Benefits: Generous pay, health coverage, hybrid work, and personal learning budget.
- Other info: Dynamic team culture with excellent mentorship and career growth opportunities.
- Why this job: Make a real difference by solving complex problems with cutting-edge data technology.
- Qualifications: 5+ years in data roles, strong Python and SQL skills, client-facing experience.
The predicted salary is between 36000 - 60000 £ per year.
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. 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
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.
Contact Details:
Signal Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Forward Deployed Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those that highlight your experience with Python, SQL, and APIs. This will give you an edge when discussing your capabilities with potential employers.
✨Tip Number 3
Prepare for interviews by understanding Signal Ocean's products and how they solve real-world problems. Be ready to discuss how you can add value to their team and help clients navigate complex data needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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
Data Science
Client-Facing Experience
Python
SQL
API Development
Data Product Deployment
Business Acumen
Cloud Infrastructure
Software Engineering
Analytics Frameworks
Technical Documentation
Communication Skills
Problem-Solving Skills
Collaboration Skills
Adaptability
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data-heavy roles and client-facing positions. We want to see how your skills align with what we do at Signal Ocean!
Showcase Your Technical Skills:Don’t hold back on showcasing your proficiency in Python, SQL, and API schemas. We’re looking for someone who can explain these clearly, so give us examples of how you’ve used them in real-world scenarios.
Demonstrate Your Client-Centric Approach:Since this role is all about working closely with clients, share specific instances where you’ve solved complex problems or delivered value to clients. We love seeing how you’ve made an impact!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Signal
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and technologies mentioned in the job description, like Python, SQL, and APIs. Brush up on your knowledge of Snowflake and DataBricks too, as being able to discuss these confidently will show that you're ready to hit the ground running.
✨Understand Client Needs
Since this role is client-facing, it’s crucial to demonstrate your ability to understand and address client needs. Prepare examples of how you've previously collaborated with clients to solve complex problems or deliver data solutions that provided real value.
✨Showcase Your Business Acumen
This isn’t just about data; it’s about how data drives business decisions. Be ready to discuss how you’ve used data to influence business outcomes in past roles. Highlight your understanding of the shipping and commodities industry if possible, as it’ll set you apart.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and your ability to explain complex concepts clearly. Practice articulating your thought process when tackling data challenges, as this will showcase your analytical skills and communication abilities.
