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Data Scientist

loveholidays · London · Posted 23d ago

hybridFull-timemid5-8 yrs🇬🇧 United Kingdom
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About the role

Develop and enhance data science products, focusing on pricing and recommendations. Collaborate with teams to deploy models and monitor their performance.

Full job description (as posted) ↓

📋 Description Build and improve data science products across pricing, recommendations and other business domains Turn ambiguous business problems into practical data science solutions, from exploration and Partner with engineers, analysts and product teams to deploy reliable models and embed Monitor model performance, investigate changes and continuously improve solutions as customer Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based 🎯 Requirements Strong experience developing and delivering practical machine learning solutions, balancing model Proficiency in Python and SQL, with experience working with large, complex datasets. A solid grounding in statistics, experimentation and machine learning, including model evaluation Experience collaborating with engineers to deploy, monitor and improve models in production. Strong communication skills, with the ability to explain technical concepts and influence product 🎁 Benefits Company pension contributions at 5% Individualised training budget for you to learn on the job and level yourself up Discounted holidays for you, your family and friends 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of Ability to buy and sell annual leave Access to our electric vehicle salary sacrifice scheme

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FAQ

Is the Data Scientist role at loveholidays remote?+

This Data Scientist position is listed as hybrid (London).

What seniority level is this Data Scientist role?+

This is a mid level position.

How do I apply for the Data Scientist role at loveholidays?+

Use the "Apply on Remotely" button to open the original posting on Remotely, where you can submit your application directly to loveholidays.