Forward Deployed Data Scientist

Signal
London
1 month ago
Create job alert

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 & 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

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 & 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

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • IndustriesSoftware Development

Referrals increase your chances of interviewing at Signal by 2x

Get notified about new Data Scientist jobs in London, England, United Kingdom.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 3 days ago

Greater London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

Data Scientist – Data Science Analytics and Enablement (DSAE)

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 3 days ago

London, England, United Kingdom 2 days ago

Greater London, England, United Kingdom 1 week ago

Woking, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 5 days ago

Data Scientist – Experimentation & Measurement

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom £65,000.00-£75,000.00 1 month ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Forward-Deployed Data Scientist - AI for Real-World Impact

Forward-Deployed Data Scientist for AI-Powered Impact

Forward-Deployed Data Scientist II

Remote Forward-Deployed Data Scientist

Senior Manager, Forward-Deployed Data Science

Applied AI Data Scientist I

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.