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

Apply Now

Data Scientist

Sonar
City of London
6 days ago
Create job alert
Why should I Apply :

At Sonar were a group of brilliant motivated and driven professionals working hard to help organizations build responsible secure high-quality code quickly and systematically. We build solutions that dont just solve symptoms of problems we fix problems at the source source code to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA Switzerland the UK Singapore and Germany. We believe team members should have the opportunity to come to work every day work on a product they are proud of love what they do and feel energized by their peers. With our roots deep in the open source community were all about the mission : provide solutions that deliver Clean Code.

The Impact You Will Have :

As a member of the Product Data team you will support our Product-led Growth (PLG) team and use data to understand how people use our products. You will work closely with the Product-led Growth team on insights coming from our cloud and on-premises product formulate metrics and find ways to improve the user experience. Your analysis will directly help us make the product better get more users and keep them engaged.

What You Will Do Daily :
  • Put in place PLG recurrent analytics including defining the key metrics related to customer success and developing the corresponding tools (e.g. dashboards) for regular monitoring.
  • Analyze user behavior to understand how they sign up use features and why they stay or leave.
  • Identify main areas of opportunity (e.g. points of new user drop-off)
  • Use SQL and Python to work with datasets from our product.
  • Build and manage dashboards in Tableau to track important metrics for the team.
  • Use product analytics tools to find opportunities to improve the product.
  • Share what you learn from data with the team to help them make better decisions.
The Experience You Will Need :
  • 5 years of experience as a Data Scientist
  • Previous experience in PLG preferred
  • Strong SQL and Python skills for data analysis (including libraries like Pandas and NumPy).
  • Experience with product analytics methods like funnel and cohort analysis.
  • Familiarity with product analytics tools (e.g. Amplitude Mixpanel Heap).
  • Experience building dashboards in Tableau or a similar visualization tool.
  • Good communication skills and the ability to explain data clearly to different audiences.
  • Curiosity and an interest in how data can help a product succeed.
Why you will love it here :

Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.

We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550 SonarSourcers from 33 different nationalities can relate!

We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday / Tuesday / Thursday).

We have a growth mindset. We love to learn and believe that continuous education is critical to our an ever-changing industry new skills are a must and were happy to help our team acquire them.

We prioritize Diversity Equity and Inclusion :

At Sonar we are a global workforce and recognize the value of different backgrounds and global cultures.

We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race colour religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.

All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.

Please note that applications submitted through agencies or third-party recruiters will not be considered.

Key Skills

Laboratory Experience, Immunoassays, Machine Learning, Biochemistry, Assays, Research Experience, Spectroscopy, Research & Development, cGMP, Cell Culture, Molecular Biology, Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - Customer Data

Data Scientist / Software Engineer

Data Scientist - Outside of IR35

Data Scientist - 12 month contract

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.