Marketing Data Scientist

JR United Kingdom; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Marketing Data Scientist to leverage data science solutions for business challenges. In this pivotal role, you will analyze complex data sets, create predictive models, and provide actionable insights to clients. Your expertise in SQL and Python will be crucial as you collaborate with stakeholders to drive data-driven decision-making. This position offers an exciting opportunity to work on diverse projects, from clustering to regression, in a dynamic and innovative environment that prioritizes customer success.

Qualifications

• Strong technical experience in SQL and Python.
• Proven track record in data science methodologies and stakeholder management.

Responsibilities

• Understand business problems and create data science solutions.
• Deliver insights and recommendations based on data analysis.
• Build data visualisations and dashboards for clients.

Skills

SQL

Python

Propensity Modelling

Clustering

Regression

Forecasting

Stakeholder Management

Job description

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The business is a global leader in customer data science, empowering businesses to compete and thrive in the modern-data driven economy always putting the customer first. Enabling businesses to grow and diversify by utilising and understanding data and ensuring the customer is put first.

Joining the business as a Marketing Data Scientist, you'd be helping to scope out business problems, creating data science solutions for these problems and then delivering insights and recommendations of the back of it.

THE ROLE AND RESPONSIBILITIES:

• Understanding business problems, creating data science solutions and delivering insights and recommendations
• Working directly with clients and helping the team to give recommendations and answer questions
• Working on projects across clustering, propensity modelling, regression and more
• Building data visualisations and dashboards for clients

YOUR SKILLS AND EXPERIENCE:

• Strong technical experience in SQL and Python
• Proven track record working across propensity modelling, clustering, forecasting, regression and more
• Strong commercial and stakeholder management expertise