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  • London
  • fulltime

Who are Opensignal?

Opensignal, a mobile analytics company, is the global standard for measuring real-world mobile network experience. Using billions of measurements collected 24/7 from tens of millions of smartphones, we analyse real-world mobile network experience at the largest scale and frequency in the wireless industry. We believe measuring how the network performs directly through users’ eyes is key to building better wireless networks. Our insights are used across the industry by mobile operators, telecoms regulators, equipment manufacturers and analysts. We have done business across six continents and have driven press headlines in 80 countries, in an industry impacting the lives of billions around the world.

Founded in 2010, Opensignal is a high-growth global company harnessing the power of mobile technologies and big data analytics to redefine how the mobile industry measures network performance. We’re part of the Global Telecoms ‘Power 100’TechCity Future Fifty, and backed by an impressive portfolio of investors.

We're headquartered in London, UK, where you’ll find most of our employees, who we like to call 'Opensignalers', but the teams you'll work with are global. A truly international team, we work across four continents, and represent over 25 nationalities.

Find out more by visiting our website


Purpose of the role

Opensignal’s business is built on data. As a key member of our Data Science team, you will be consistently creating new metrics and analysing, interpreting and reporting them to quantify the quality of mobile network operators around the globe.

The Data Science team are architects of numerous data-gathering and interpretation initiatives. For example, in the last year alone we released a voice experience metric, a video experience metric - a first in the industry - and we continue to design new measurements that are key to analysing the experience of mobile customers.

You will model scenarios for producing new metrics as suggested by our Product teams or business stakeholders. You will need to think carefully and laterally, examining possible solutions but always questioning if there is a better way of doing things. It's a process of iteration to get to the solution, supported by the wider technology teams.

Apart from designing new metrics, there is the work associated with collecting billions of data points every day, from our Apps and third-party Apps. A critical aspect of the team is to ascertain the quality of incoming data, understand likely causes of anomalies, build rules that sanitise the data, perform statistical analysis for our Marketing and Sales teams or external clients, and build tools that automate our Data Science analyses.

You will also get exposure many other parts of the business, working and collaborating closely with our Data Engineers, Android & iOS Engineers, QA Engineers and our Product and Program Management functions.


As a Data Science Analyst, you will be responsible for

  • Creating big-data analyses that become new metrics and dashboard analytics for our mobile network clients
  • Designing and implementing internal dashboards and analytics that explain our metrics development and provide actionable insights for customers
  • Creating ad-hoc or automated analyses and developing effective models to evaluate the quality and integrity of raw data and client deliverables
  • Designing and suggesting product analytics, and recommendations and influence the direction of the product development within cross-functional groups
  • Working cross-functionally with Mobile, Engineering & Product members to create improvements in the tools and techniques to help scale your data science analyses and teams


What we need from you

  • Degree (or equivalent) in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics
  • A passion for data and analytics
  • Proficient using Python and/or R and SQL for the download, cleansing and analysis of data
  • Competence in coding and creating insightful analysis and following Data Science reproducibility best practices
  • Ideally experience in the full Data Science pipeline and continuous integration
  • Knowledgeable on quantitative analysis techniques, e.g., descriptive and inferential statistics, parametric and non-parametric statistics, regression, clustering and pattern recognition
  • Comfortable collaborating within multidisciplinary teams, contributing to problem-solving sessions and actively seeking feedback
  • Ideally experience of working within an Agile environment, familiar with Agile methodology, working practices and ceremonies
  • Self-motivated, able to learn new techniques independently, make suggestions and research
  • Curiosity and a desire to learn is a pre-requisite for the Data Science team
  • You will need to be able to describe the rationale behind your work. We’re interested in the ‘why’ that sits behind the data product design, or analytical approach


What will you get in return?

  • Competitive salary and stock options to share our growth
  • Matched-contribution based pension scheme, company-wide bonus, private healthcare (including wellbeing subscriptions and discounted gym membership), cycle to work scheme
  • Constant exposure to learning opportunities in your role and the ability to make an impact from day one
  • £1000 learning budget with access to a learning platform providing access to thousands of opportunities to spend it on – from conferences to courses and training, and regular 'Opensessions' (internal learning talks)
  • Our 'Opensignalers' - an ambitious, focused and friendly team backed by some of Europe's top investors
  • 25 days holiday per year and generous flexible working culture
  • Regular all-company events – from team lunches, to monthly HQ town halls and bi-annual away days)
  • HQ in Angel, central London, filled with fresh fruit, coffee and an abundance of snacks and drinks, set in an area buzzing with coffee shops, eateries, a local market and bars.

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