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The job in a nutshell

Travelodge is looking for a Data Scientist to join its Digital Team. You will be responsible for working with big data sets to deliver advanced and actionable customer insights to increase the efficiency of our customer proposition, drive customer lifetime value, and improve the customer experience.

The successful individual will be able to work with minimal instruction and oversight, conduct multiple tasks and projects simultaneously, maintain relationships with the senior leaders, and own deliverables end to end. Critical to the success of this role is your ability to work with big data, develop insightful analysis that drives action, and communicate findings and impact of actions in a clear and compelling way. The successful candidate will have a commercial outlook - ensuring that outputs have a positive revenue impact.


What you’ll be doing:

Responsibilities:

• Develop machine learning models and cutting edge algorithms for Digital initiatives and revenue optimisation
• Undertake A/B testing evaluations.
• Work closely with the Digital eCRM team to deliver innovative processes and personalised emails.
• Maintain and develop our cloud-based Data Science environment.
• Respond to ad-hoc requests from around the business for insight.
• Package your findings and outputs into easy-to-understand presentations for non-technical audiences.
• Be an authority on the use of data, statistical methods, and question shaping.
• Processing, cleansing, and verifying integrity of data used for analysis
• Researching and staying current on recent developments in the data world.

What we’ll expect from you

Skills:

• Demonstrated experience of using Python, R, or similar tools for data analysis, structuring, transforming and visualising big data
• Strong SQL skills are a must
• Clear presentation of findings and guiding next steps at various points
• Ability to build statistical models, including time-series forecasting
• Ability to build customer segmentations
• Excellent understanding of statistical methods for campaign evaluation
• Experience with cloud-based systems and LINUX is a plus.
• Willing to learn new frameworks and programming languages required for the task
• Focus and ability to find solutions and work towards goals when setbacks/ hurdles occur
• Able to work with minimal supervision

Work Experience and Education Guidelines:

• Minimum of a Bachelor’s degree in Statistics, Mathematics, Economics, Data Science or similar and 3+ years working in an advanced analytics role OR a Master’s degree in one of these subjects and at least a year of work experience
• Past experience in a role focused on customer insight, statistical modelling, data science or similar
• Solid understanding of online marketing, preferably in a past or current role