Marketing Data Scientist

1 month ago


London, United Kingdom Pontoon Solutions Full time

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
An exciting opportunity within financial services client is looking for Data Scientist based in London.

Role : Data Scientist
Location : London (2 days a week onsite)
This role is pivotal for our lead generation and prospecting efforts, using advanced analytics and machine learning to identify and engage potential clients in the payments sector.

The candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth and expand our market presence.

Experience in data science with a focus on lead generation and new business development in the finance or payments sector.
Strong proficiency in SQL and experience with data preparation, cleaning, and manipulation.
Expertise in building and deploying machine learning models, especially related to customer behavior, segmentation, and propensity analysis.
Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes.
Entrepreneurial mindset with the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines.

Utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry.
Analyze transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies.
Develop and maintain SQL-based data workflows for efficient data preparation, cleaning, and analysis to support lead generation activities.
Present data-driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives.
Continuously monitor the effectiveness of lead generation strategies and adjust models and approaches based on performance data and market feedback.


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