Data Scientist - #1800625
hackajob
Date: 1 day ago
City: Leeds
Contract type: Full time
Work schedule: Full day

hackajob is collaborating with Jet2.com to connect them with exceptional tech professionals for this role.
As our new Data Scientist, you’ll be implementing the data science strategy and bringing together multiple large data sources for effective use across the business. You’ll query and gain deep insights from the data giving the wider business the ability to act upon these.
As our Data Scientist, you’ll have access to a wide range of benefits including:
What You’ll Be Doing
As our new Data Scientist, you’ll be implementing the data science strategy and bringing together multiple large data sources for effective use across the business. You’ll query and gain deep insights from the data giving the wider business the ability to act upon these.
As our Data Scientist, you’ll have access to a wide range of benefits including:
- Hybrid working (we’re in the office 2 days per week)
- Access to a generous discretionary profit share scheme
- Many retail discounts on - travel and leisure, health, and wellbeing, eating out, shopping and lifestyle
What You’ll Be Doing
- You’ll use machine learning and statistical modelling tools to generate customer, marketing, and commercial Insight, which in turn will inform marketing strategy, pricing & product development for the business.
- You’ll identify efficiencies in the use of data across its lifecycle, reducing data redundancy, structuring data to ensure efficient use of time.
- You’ll create algorithms and models to understand how changes in metrics in one area of the business impact other areas.
- You’ll have experience in using R, Python or a similar statistical analysis package.
- You’ll have strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI.
- You’ll have developed and deployed predictive models using machine learning frameworks and worked with big data technologies.
- You’ll have experience in cleansing and enriching of data, you’ll be able to interpret business requirements in terms of data architecture, database technology and data model design.
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