Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist (London)

Faststream Recruitment Group
City of London
5 days ago
Create job alert

Job Description


A fantastic opportunity for a Data Scientist, proficient in Python and C++ to join the market leaders in clean marine technology.


Reporting to :

Head of Innovation, Research & Development.


Working closely with the Digital team.


Location :

London HQ Office (Marylebone) OR Southampton (Chandlers Ford) Office.


As a Data Scientist you will be responsible for a portfolio of cross-functional research and product development initiatives relating to the continuous improvement and optimisation of the Silverstream® System through the exploitation of operational data.


Qualifications, skills and experience :

  • Higher Degree in engineering, mathematics, statistics or equivalent subject is essential.(PhD level is highly desirable).
  • Extensive experience as a data scientist in an industrial setting, with technical responsibility for leading and implementing projects.
  • Experience solving challenging engineering problems using advanced data analysis techniques.
  • Strong proficiency in Python for data analysis, modelling, and pipeline development.
  • Good knowledge of C++ or equivalent, for systems integration, performance‑critical applications, or legacy system interfacing.
  • Experience in software development best practices: version control (Git), testing, code review, CI / CD, etc.
  • Familiarity with data engineering workflows, including data collection from sensors, databases, or industrial control systems.
  • Experience deploying machine learning models in production environments desirable.
  • Track record of coming up with new ideas, as demonstrated by projects or first‑author publications / conferences.
  • Ability to lead on works independently in a fast‑moving company environment.
  • Ability to communicate clearly at all levels in the organisation is essential.
  • Previous experience in managing external stakeholders and industry partners is desirable.
  • Work effectively in a team, understanding the strengths and weaknesses of others to help teamwork development. Excellent written and verbal communication skills.

Benefits :

  • Flexi-time with your working hours
  • Annual Bonus
  • Workplace Pension Scheme
  • Life Assurance Cover
  • Private Medical Insurance
  • 24 / 7 GP Access and Mental Health Support
  • Eyecare Vouchers
  • 25 days Annual Leave + Public Holidays
  • Company Sick Pay
  • Discounted Gym Membership
  • Onsite Parking (Southampton)

Office Attendance :

The role will be contracted to either the London or Southampton office, with the opportunity for some remote working flexibility. The expectation of office attendance is likely to be 16 days per month.


Interview Process :

Successful candidates will be taken through a 2 stage interview process with Silverstream :



  • 1st Stage Interview - Via Teams.
  • 2nd Stage Interview - In Person - Southampton / London office.

Please note, prior to offer the CEO / Founder will be offered the opportunity to meet with the preferred candidate. This would take place in person in London.


How To Apply :

If this is the role for you, please submit your CV by clicking the "Apply for this Job".


Please note if you are applying from outside the UK, you must be willing to relocate within a commutable distance to the office and have the rights to live and work in the UK.


(All candidates will be contacted by Faststream prior to being shared with Silverstream).


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 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.