Data Scientist

Location: Dublin

*** Mention DataYoshi when applying ***

Ding is the world’s leading universal top-up service. Founded in 2006, Ding was born from seeing something that wasn’t there. 6 billion of the world’s mobile phones are prepaid and a quarter of those are out of top-up. We believe mobile phones can change lives and we want to improve people’s lives by helping those with less gain access to more. Our mission is to build and run the safest, simplest most effective and convenient top-up technology, in partnership with the best operators and platforms. We’ll continue to spread joy across the globe helping people everywhere to send little bytes of happiness to their loved ones, keeping our customers connected to their families and friends. Now more than ever we realise the importance of keeping in touch and here at Ding we believe a little goes a long way.

We are seeking a knowledgeable and experienced Data Scientist to join our company at an exciting time as we migrate to a new cloud-based data environment. As a Data Scientist, you will run, develop, and use analysis tools for company integration. You will conduct analytical experiments and evaluate theoretical alternate models. You will also analyze processes and systems to extract insights from structured and unstructured data, and specifically help us get the most out of our migration to cloud-based infrastructure. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.. This is an exciting and important role where you will get the opportunity to work with an amazing team, creating real impact and results which drive growth.

Day to day responsibilities include:

  • Work with stakeholders to identify opportunities for leveraging company data to drive business value.
  • Prototyping and building of classification models, both supervised and unsupervised to enable our various stakeholders better understand our customers and optimize customer experiences, revenue generation and other business outcomes.
  • Work with our Data Engineering team where necessary to ensure we have the appropriate data in our data warehouse and assist the engineering team with building of pipelines to load the data as required.
  • Prototyping and building of Machine Learning models to aid predictions incl Fraud, Customer lifetime value, Churn etc.,
  • Work with our Data Engineering teams to build real-time integrated decision-making systems powered by machine learning and classification engines.
  • Implement processes that improve and lead to greater data quality.
  • Identify data patterns and trends.
  • Document all processes and research.

Key Attributes we’re looking for:

  • Masters/PhD in Statistics, Mathematics, Computer Science, or another quantitative field.
  • Expert in statistical modelling and data mining.
  • Able to analyze problems and strategize for better solutions.
  • Strong analytical/modelling skills with ability to convert raw data into actionable business insights.
  • Understanding of machine learning techniques and algorithms.
  • Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience with open source data science tools such as R and Python.
  • Strong communication skills – both verbal and written.
  • Experience working with the Google Cloud BI stack, including BigQuery, Dataflow, AI, PubSub etc. to build end-to-end data applications.
  • Comfortable in both a leadership and team-player role.
  • Creative problem solver who thrives when presented with a challenge.
  • Goal-oriented, organized team player.
  • Experience working on Lifetime Value Modelling is a plus.

About Ding

Ding was founded to change billions of lives by accelerating mobile access.

As the number one international mobile top-up platform in the world, Ding has been keeping people connected since 2006, when it launched this first-of-a-kind service. Today, Ding’s users have successfully sent over 400 million top-ups globally, via the app, online at, and in-store at over 600,000+ retail outlets worldwide. In fact, Ding delivers a top-up every second, via 500+ operators, across 140+ countries – helping families and friends around the world to stay connected.

Ding is headquartered in Dublin, Ireland, and also has offices in Barcelona, Bucharest, Dhaka, Dubai, New Jersey and Paris. Ding’s culturally diverse team of more than 200 people reflects our commitment to delivering cutting-edge, potentially life-changing technology to developed and emerging markets alike.

We're always on the lookout for talented people who embody our core values:

  • We are Customer Curious
  • We are Thinkers, Linkers & Doers
  • We Work Better Together
  • We Seek Out that Spark

Ding’s recruitment privacy notice is available at

*** Mention DataYoshi when applying ***

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