Senior Data Scientist

About Us

On the Beach sends over 1.5 million people on their perfect beach holiday every year, and whilst the COVID-19 pandemic has caused disruption for the travel industry, we have not paused our ambition to become Europe"s leading online retailer of beach holidays. 

We are on the lookout for a passionate, innovative Senior Data Scientist to join our highly regarded Marketing Analytics team based at our Digital HQ in Manchester. We are looking for someone who is able to challenge convention, work in a highly agile environment and can collaborate effectively with both technical and commercial colleagues.


About the Opportunity

In this role you will have a unique opportunity to leverage your experience and technical expertise to help shape decision making throughout Marketing and the wider business. You will work closely with the Head of Analytics to build models to predict customer behaviour, optimise budgets and measure media effectiveness. If you are excited about working with cloud technologies and TPUs, love owning your own Data Science projects, and are keen to have an immediate positive impact on the business then this is the role for you. 

We are looking for someone who is passionate about using data to solve provlems and is able to cut through the noise and identify opportunities that will drive the most value within Marketing. Travel is an extremely dynamic and fast-paced industry so you will get the opportunity to work on many varied projects involving data. 

Essential Skills & Experience

  •       Masters in Maths, Statistics, Data Science, Machine Learning, or other numeric subject

  •       Highly experienced in applying machine learning techniques (Regression, Random Forest, Gradient Boosting, and Neural Networks) to model customer behaviour

  •       Strong knowledge of statistics as applied to Data Science. You can explain OLS regression and confidence intervals to someone who has never heard of either

  •       You can programme in either Python or R as well as SQL, and you keep up to date with developments in your language

  •       You have prior experience of working within a Marketing department

  •       You understand marketing concepts and have experience of customer segmentation, lifetime value modelling, churn prediction and econometrics

  •       You are able to effectively communicate findings to others, including at a senior level

Desirable Skills & Experience

  • Experience solving digital marketing or customer growth problem
  • Experience of working with cloud technologies such as GCP or AWS, as well as versioning tools such as Git and Docker
  • Attribution modelling and Propensity experience
  • Experience with Iterable and TV Squared is desirable but not essential
  • TV spot analysis and regional advertising impacts 


We believe in maintaining a positive work/life balance, so to help out, we offer flexible working, discounts on local amenities (including gym membership and restaurants) a subsidised coffee shop and a free bar - stocked with an enviable selection provided by some of Manchester’s finest breweries. To help you find the time to really relax (as well as helping you become a genuine beach expert) we offer generous staff discounts for your family and friends on our fantastic beach holidays. On top of this we offer Cycle to Work Scheme, Simplyhealth Optimise Health Plan, discounted train and tram tickets, Share Incentive Plan, workplace pension, training and development, conferences, social events, enhanced maternity/paternity pay...the list goes on.


As an equal opportunities employer we value diversity and welcome applicants from all sections of the community regardless of gender, ethnicity, disability, and sexual orientation. 

You will be kindly asked to provide your equality information as part of your application process to On the Beach. Any personal equality information given to On the Beach will be handled with the utmost confidentiality and will only be used for monitoring and identifying improvement areas. All the information disclosed by applicants is stored on our ATS, in line with the General Data Protection Regulation (GDPR) and can only be accessed by selected Human Resources team members.