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Data Scientist

MBN Solutions
London
1 year ago
Applications closed

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Data Scientist

Data Scientist

London (Hybrid – 2 days per week onsite)

Up to £50,000 + benefits

Are you a Data Scientist with 2+ years of experience looking for your next role?

Do you thrive working within an environment with multiple exciting projects to get stuck into?

Do you want to join an organization that puts a genuine investment into your career growth & has a culture of promoting from within?

MBN Solutions are proud to be working with a long-standing Media Agency client of ours to support them in the search for a Data Scientist to join the team. Due to continued success and an upcoming stream of new clients & projects, our client are looking to expand their Marketing Effectiveness team.

The Role

As a Data Scientist or Senior Data Scientist, your main role will involve enhancing our fundamental analytical strategies and client-oriented tools and systems, ensuring they stay at the forefront of the market and integrate smoothly with larger group projects. Specifically, we are seeking someone who can:

Continuously improve and support our array of client-facing tools and solutions. Design and maintain cloud-based systems, focusing on optimizing speed, scalability, and security. Contribute to the innovation of our core analytical products, ensuring our marketing measurement solutions adopt cutting-edge techniques. Aid our analyst teams in automating their workflows and processes. Partner with senior leadership to translate strategic ideas into actionable development plans. Collaborate with development teams across our group to guarantee seamless integration of our solutions into their platforms and systems.

About You

We’re looking for:

2+ years of commercial experience within Data Scientist Prior experience of building solutions in Python (preferred) or R Knowledge of data science libraries e.g. Pandas, Seaborn, Sklearn, Statsmodels, Tidyverse Family, Plotly, Highcharter, Nloptr, R6, Testhat Knowledge of cloud computing (GCP preferred) Excellent stakeholder communication skills Experience with Dash/Flask or R Shiny is beneficial Prior experience or knowledge of Marketing Mix Modelling (MMM) would be highly desirable, though not essential

What’s in it for you?

Unlimited annual leave Pension contributions Regular social events Dedicated progression plans

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