Data Scientist

About the Role

This role will play a critical role in helping to extract valuable insights from vast data sets and use those insights to make informed business decisions. Responsible for designing and implementing data mining algorithms, developing predictive models and machine-learning algorithms, and communicating findings to both technical and non-technical audiences. This role is also responsible for developing and deploying cutting-edge natural language processing and generative models to drive innovation and solve complex business challenges.

Your duties would include:

• Analyze large volumes of structured/unstructured data to uncover trends, patterns, and hidden insights to identify opportunities for business problem statements and use cases.

• Utilize advanced statistical and machine learning techniques to extract meaningful insights from complex data sets and help business leaders make informed decisions.

• Develop and apply algorithms and models to derive insights from large-scale datasets, perform data and error analysis to improve model performance, ensure data quality and model accuracy through cleansing and validation, and implement model explainability to support transparent and interpretable outcomes .

• Demonstrate a strong understanding of AI/ML governance frameworks, responsible AI principles, and MLOps pipelines across public cloud platforms such as Google Cloud Platform (GCP) and Microsoft Azure.

• Design and implement data mining, machine learning, and time-series forecasting models on cloud platforms, ensuring alignment with enterprise AI security, AI governance, and Data compliance frameworks.

• Evaluate model performance through appropriate metrics, error analysis, hyperparameter tuning, validation, and iterative improvements, incorporating business and user feedback to enhance model accuracy, robustness, and effectiveness.

• Apply ensemble learning techniques and advanced modelling approaches to improve predictive performance, generalization, and model reliability.

• Leverage Generative AI and Large Language Models (LLMs) to develop innovative business solutions, including the responsible generation and use of synthetic data where appropriate.

• Design, develop, and deploy advanced Natural Language Processing (NLP) and LLM-based solutions for large-scale unstructured data, supporting use cases such as text generation, summarization, translation, information extraction, and content generation through effective prompt engineering techniques.

• Collaborate closely with business stakeholders to understand business challenges, translate requirements into analytical problems, and identify high-value Machine Learning, Generative AI, and Artificial Intelligence use cases.

• Partner with Data Engineering teams to acquire, integrate, cleanse, validate, and prepare high-quality datasets required for advanced analytics and AI/ML solutions.

• Operationalize analytical and AI/ML models by collaborating with Software Engineers, Data Engineers, Machine Learning Engineers, and MLOps Engineers, ensuring scalable, secure, monitored, and reliable production deployment.

• Communicate complex technical concepts, analytical findings, model outcomes, limitations, and recommendations effectively to both technical and non-technical stakeholders.

• Collaborate with cross-functional teams to integrate Data Science, Machine Learning, and Generative AI solutions into enterprise applications and business processes.

• Maintain awareness of emerging advancements in AI, Generative AI, LLMs, Machine Learning, and MLOps, and assess their applicability in solving real-world business problems.

• Evaluate Data Science, AI/ML, and Generative AI solutions proposed by vendors, assessing solution architecture, modelling methodology, technical feasibility, scalability, security, governance, explainability, MLOps readiness, cloud compatibility, performance metrics, and alignment with business requirements.

• Provide technical recommendations during vendor evaluations, solution assessments, Proof of Concept (PoC) reviews, and architecture/design discussions, identifying potential risks, gaps, dependencies, and opportunities for improvement.

• Perform other departmental responsibilities relevant to the position, as assigned by the Head of the Department.

Be part of an extraordinary story

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make.You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future and build the life you want while being part of an international community.

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before.

Together, everything is possible.