Employer description & source details
Client Engagement and Requirement Gathering Collaborate with engagement managers, account delivery managers, and client stakeholders to understand business objectives, project requirements, and expected outcomes. Translate business requirements into well-defined analytical problems and data science project deliverables. Maintain effective communication with clients throughout the project lifecycle and ensure alignment on scope, milestones, and priorities. Lead client meetings, weekly business reviews, and project discussions to communicate progress, address challenges, and agree on next steps. Develop appropriate data science and machine learning approaches to address client business challenges. Apply advanced knowledge of probability and statistics to analyse data, validate assumptions, and generate meaningful insights. Design practical machine learning solutions while accounting for common pitfalls, model limitations, data quality issues, and potential sources of bias. Guide the selection of suitable analytical methodologies, modelling techniques, and evaluation metrics based on project objectives. Use SQL and Python to support data exploration, analysis, model development, and validation as required. Project Planning and Delivery Management Develop comprehensive project plans covering scope, objectives, resource allocation, milestones, timelines, and deliverables. Allocate tasks to team members based on their skills, experience, and project requirements. Lead project execution and monitor progress against agreed plans, identifying risks and implementing corrective actions where necessary. Track project milestones, manage dependencies, and ensure timely delivery without compromising quality. Apply appropriate project management methodologies and tools to improve deliv
Extracted skills: python, sql, machine learning, data analysis, excel, project management