Predictive Data Predictive Data …

Planet Payment
in Redhill, England, United Kingdom
Permanent, Full time
Last application, 25 Jun 19
Planet Payment
in Redhill, England, United Kingdom
Permanent, Full time
Last application, 25 Jun 19
TITLE: Data Scientist/ Predictive Data Analyst LOCATION: Headquarters, Redhill, Surrey TYPE: Full-time, Permanent

We are currently recruiting for a Data Scientist/ Predictive Data Analyst to join the Business Intelligence Marketing Team.

As the team expands, we are looking for a candidate that can embed themselves in predictive analytic models across the full portfolio of the client's brands including transactional internal and external data.

  • You will already be an established data professional who will help drive innovation within our data & analytics portfolio. As our very first data scientist, you will play a leading role in shaping and growing data science functionality.
  • You will choose the optimum tools and technologies that will continue to help differentiate Planet as the industry's data partner and technology pioneer.
  • You are a champion when it comes to integrating disparate data sets and using deep analytics to uncover actionable insights.
  • You will drive innovation and prove hypotheses and use sophisticated predictive models to drive our products forward and fuel ground-breaking new ones.
  • You are a natural at showcasing analytical prowess to win new business and curating crucial feedback throughout the project lifecycle.
  • You are inquisitive, embrace collaboration and agile methodologies. You appreciate business values and are excited to be joining the customer insights and business intelligence arm of an industry leader in payment processing.


  • You will be a key team member within the business intelligence and customer insights squad. Your ability to succeed in your role will be supported by a dedicated and well qualified team.
  • Create scalable statistical and analytical models based on the combination of current and future data sets
  • Work with the product team and wider marketing team to understand user goals and requirements alongside stakeholders and customers
  • Work with the business teams to produce data visualisations and insight reports for both internal and external clients
  • Summarise and communicate conclusions and solutions to analytic and non-analytic stakeholders
  • Identify new data and analysis opportunities and recommend acquisition of appropriate datasets

Technical skills:

  • Wide experience with data analytics, data correlation, statistical algorithms, databases, data regression, and scripting languages
  • Experience in machine learning, data visualization, and data manipulation tools
  • Knowledge of managing, manipulating and transforming data from a variety of sources, both structured and unstructured data
  • Experience in one or more data extraction and querying tools such as SQL, Spark, Hadoop or similar
  • Excellent at one or more standard programming/analytics languages, such as R, Python, ECL, Julia, Matlab or similar
  • Knowledge of sentiment and text analysis
  • Experience of statistical and machine learning methods applied to predictive data analysis; both supervised and unsupervised learning

Interpersonal skills:

  • An excellent communicator, open to receiving feedback
  • Good client facing, communication and presentation skills
  • Confident in data story telling
  • Aspiration to manage and mentor new members of the team in the future
  • Motivated by solving problems based on customer feedback
  • Enthusiasm to learn and develop emerging technologies and techniques

Experience and academic achievements:

  • Experience of working in a corporate data and analytics environment or proven track record of academic research involving relevant data science, data analysis, and statistical tools and methodologies
  • A strong background in a quantitative/analytical discipline, with a relevant degree preferred

1st year goals

  • Understand the range of internal and external datasets, schemas and structures so they can be integrated and applied to client problems
  • Test hypothesis for several product concepts that have been pre-identified to solve customer problems
  • Help shape and influence the success of the data and analytics product development team

All career opportunities at Planet reflect our Values , We go beyond expectations, We celebrate differences , We search for better , We grow together.