Data Science & Sr Analytics Expert

Unique Job Role Role Name Data Science & Sr Analytics Expert

Job Details As a Data Science & AI Specialist at Titan Business, you will be responsible for designing and implementing advanced AI/ML capabilities over our vast datasets.

Your primary objective will be to extract meaningful insights, identify patterns, and develop predictive models to drive informed business decisions and optimize operational efficiency.

Key Responsibilities:

• Design and develop AI/ML algorithms and models to analyse complex datasets and extract actionable insights.

•Collaborate with cross-functional teams to identify business problems and opportunities where AI/ML solutions can provide value.

• Implement data preprocessing techniques, feature engineering, and model training/validation to ensure the accuracy and reliability of AI/ML models.

• Utilize statistical analysis and machine learning techniques to uncover trends, patterns, and correlations in data.

• Work closely with data engineers and IT professionals to ensure seamless integration of AI/ML solutions into existing systems and processes.

• Stay updated on the latest advancements in AI/ML technologies, methodologies and propose innovative solutions to enhance our data science capabilities.

• Communicate findings and recommendations to stakeholders through clear and concise reports, presentations, and data visualizations.

• Provide guidance and support to junior team members, fostering a collaborative and knowledge-sharing environment.

External Interfaces Internal Interfaces

• Consulting Organisations

• Retail stores and our associate partners

• Working with our internal Finance team

• Commercial teams in the divisions

• Working with our Regional Commercial teams

• Internal IT team Job Requirements Education

• BTech Graduate in Data Science & Machine Learning with relevant experience. Relevant Experience • 6 to 8 years Behavioural Skills

• Leadership abilities • Influencing skills • Self-starter

• Inquisitiveness Knowledge

• Analytical capability in bringing insights from data. • Business acumen and strategic capability

• SQL & Complex SQL, Microsoft applications

• Proficiency in programming languages such as Python, or Java, and familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).

• Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning) and their practical applications.

• Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (e.g., AWS, Azure, Google Cloud Platform) capabilities of integrating AI Model over cloud. • Excellent problem-solving skills and the ability to translate business requirements into technical solutions. • Visualisation skills like Tableau / Power BI