Job Description

Join our team at Visionary Tech Services (VTS), a fast-growing AI Services & Consultancy company, that'ssolving critical business problems for top-tier clients in theregion's most important industries.


If you're passionate about applying data science, machinelearning, statistics, and real-world experimentation tosolve meaningful business problems, this role is for you.


The Lead Data Scientist will spearhead the design,development, and deployment of advanced AI andmachine learning solutions at VTS. You will lead a team ofdata scientists coordinate cross-functional efforts, andensure the technical excellence and business impact ofdata science projects. As a key technical advisor, you willinterface with clients and stakeholders to drive innovationand align solutions with strategic objectives.

Requirements

8+ years of extensive experience in data science, with atleast 3 years in leadership or senior roles. Prior experience in pre-sales: proposal writing, estimation, and risk registers. Significant background in AI consulting services, leading projects and teams for clients across industries like oil &gas, telecom, health, construction, finance, banking, technology, real estate, media, etc. Expertise in strategic project management, MLOps implementation, and mentoring junior data scientists inhigh-impact consulting engagements. Strong experience in Agile/Scrum environments and cross-functional coordination. Recognized contributions to open-source, research publications, conference talks, or leadership in analytics communities are highly valued. Lead end-to-end development and deployment of complex machine learning models and AI systems for client projects. Define model architecture, best practices, and maintain high code quality and MLOps governance in data science workflows. Manage cross-functional collaboration between data science, software engineering, product, and business teams to ensure seamless project execution. Mentor and coach junior and senior data scientists, providing guidance on methodologies, code reviews, and professional development. Identify new opportunities for applying data science within client engagements and advise on feasibility and impact. Serve as a technical advisor to clients and executive stakeholders, communicating complex concepts in a clear, business-oriented manner. * Ensure that all solutions are scalable, maintainable, and aligned with broader strategic business objectives.