The company Global Insights & Data is a market leader in data, platform, and analytics across various sectors, including financial services, consumer products, manufacturing, and life sciences. The role of Lead Data Scientist is pivotal in shaping the future of data-driven innovation, where you will drive the development of advanced analytics and AI solutions, providing technical leadership to a talented team and partnering with business leaders to tackle complex challenges.
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Your Role:
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Technical Leadership & Strategy:
- Lead and mentor a multidisciplinary team of data scientists, ML engineers, and analysts.
- Define and implement data science best practices, modeling standards, and technical roadmaps.
- Collaborate with business and technology leaders to identify and prioritize AI/ML opportunities.
- Review and validate modeling approaches, code quality, and solution architectures.
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Advanced Analytics & AI Development:
- Design and build scalable machine learning, deep learning, and statistical models.
- Lead projects in NLP, LLMs, computer vision, recommendation systems, and predictive analytics.
- Own the full model lifecycle: experimentation, feature engineering, model selection, tuning, deployment, and monitoring.
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Data Engineering & Deployment:
- Partner with data engineers to develop robust, scalable data pipelines.
- Ensure seamless deployment using CI/CD, MLOps, and automation frameworks.
- Monitor model performance and implement retraining workflows to maintain accuracy.
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Business Partnership & Solutioning:
- Translate business problems into actionable analytical solutions.
- Present insights and recommendations to both technical and non-technical stakeholders.
- Align AI/ML solutions with business KPIs and measurable outcomes.
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Governance, Quality & Innovation:
- Advocate for responsible AI practices, model governance, explainability, and compliance.
- Drive innovation by experimenting with new algorithms, tools, and frameworks.
- Contribute to knowledge sharing and reusable solution components.
Skills and Experience Required:
- Expertise in Python (Pandas, NumPy, Scikit-learn), deep learning frameworks (TensorFlow, PyTorch).
- Strong knowledge of ML algorithms, statistics, and experimental design.
- Experience with NLP, LLMs, computer vision, or advanced modeling.
- Proficiency in SQL and big data tools (Spark, Databricks, Hadoop).
- Familiarity with cloud platforms (AWS, Azure, GCP) and ML services.
- Relevant experience in data science, ML, or advanced analytics.
Preferred Qualifications:
- Master’s or PhD in Data Science, Computer Science, Statistics, or related fields.
- Experience with GenAI, LLM fine-tuning, and relevant certifications (Data Scientist, ML Engineer, Cloud).
- Domain expertise in banking, financial services, insurance (BFSI), healthcare, retail, manufacturing, or SaaS.
Additional Information:
Joining the company offers the opportunity to work in a diverse environment that fosters innovation and growth, allowing you to help clients leverage technology to innovate and enhance their business. You will be part of a collective that seeks to transform the world's leading businesses while striving for a sustainable and inclusive future.
