Job Description

About the Role We are seeking a Senior Manager, Sales and Marketing Data Scientist to lead data-driven initiatives that optimize sales and marketing performance. This role will apply advanced analytics, machine learning, and predictive modelling to generate insights that drive revenue growth and improve customer engagement. Responsibilities: Data Analysis & Insights Analyze sales and marketing data to identify trends, patterns, and opportunities for revenue growth. Develop predictive models and machine learning algorithms to enhance lead generation, customer segmentation, and sales forecasting. Predictive Modelling & Machine Learning Implement machine learning techniques to optimize targeting, segmentation, and marketing personalization. Forecast client behavior, conversion rates, and sales opportunities using predictive analytics. Campaign & Sales Optimization Measure and optimize the ROI of marketing campaigns through data-driven strategies. Analyze sales funnel performance, identifying areas to accelerate pipeline growth and improve conversion rates. Client & Market Insights Conduct customer segmentation analysis to understand behavior, lifetime value, and churn risks. Provide insights into market trends, competitive positioning, and customer needs to inform strategy. Data Strategy & Automation Develop and manage data pipelines, reporting tools, and automated workflows to improve efficiency. Ensure data accuracy, integrity, and accessibility across CRM, marketing automation, and BI platforms. Collaboration & Leadership Work cross-functionally with sales, marketing, finance, and IT teams to align data strategies with business objectives. Lead, mentor, and develop a team of analysts, providing guidance on best practices, technical skills, and strategic thinking to enhance data-driven decision-making across the organisation Qualifications & Experience: Master s or Phd in Data Science, Statistics, Business Analytics, Computer Science, or a related field. 8+ years of experience in data science, analytics, or a similar role, with a focus on sales and marketing data. Technology expertise in Python, R, or SQL for data analysis and modelling. Strong experience with machine learning frameworks and visualisation tools (Power BI). Proficiency in CRM and marketing automation platforms (e.g., Salesforce and Pardot). Strong business acumen with a deep understanding of sales and marketing metrics, including lead scoring, funnel analysis, and ROI measurement