Responsibilities Include:

- Lead and manage a team of data scientists and analysts, overseeing project assignments, performance evaluations, and development plans.
- Mentor and upskill team members, fostering a culture of continuous learning and analytical excellence.
- Drive team collaboration, establishing best practices, and ensuring the team s technical and professional growth aligns with organizational goals.
- Partner with senior leadership to identify, prioritize, and execute high-impact analytics initiatives that align with business objectives.
- Develop and present data-driven insights and recommendations to executive leadership, clearly communicating complex analyses in an accessible manner.
- Design, develop, and deliver advanced analytics and ML solutions, including building sophisticated models and analytical tools that drive data-driven decision-making.
- Construct proof of concepts (POCs) to demonstrate the value and potential of ML applications within the finance domain, ensuring alignment with business needs.
- Leverage expertise in data science and advanced analytics to address complex business challenges with innovative solutions.
- Proactively identify areas where advanced analytics can provide significant value, initiating and overseeing projects that develop and implement new analytics solutions.
- Work closely with internal and external partners to evaluate and integrate new tools, techniques, and data sources that enhance the team s analytics capabilities.
- Foster strong cross-functional relationships,



working collaboratively to drive alignment and understanding of analytics initiatives.

Education, Experience, and Skills:

- A bachelor s or master s degree in a relevant field (e.g., data science, statistics, mathematics, finance) is preferred. Advanced certifications in analytics or data science are a plus.
- 10+ years of experience in advanced analytics, preferably in a finance or related domain, with proven success in delivering impactful business solutions.
- 3+ years of experience in leading and managing teams in a data science or analytics function, fostering a cooperative and high-performance team environment.
- Proven leadership experience, guiding and mentoring junior team members and fostering a collaborative and high-performance team environment.
- Extensive hands-on experience with machine learning techniques, including supervised/unsupervised learning, classification, clustering, and anomaly detection.
- Expertise in feature engineering, model selection, hyperparameter tuning, and model evaluation, ensuring robust and optimized model performance.
- Strong knowledge of time series analysis and forecasting for predicting trends and patterns in financial data.
- Proficiency with analytics tools and programming languages such as Python, SQL, Alteryx, and experience with big data technologies like Hadoop and Spark.
- A continuous learning mindset, keeping updated on advancements in data science, machine learning, and analytics methodologies.

📌 Manager - Advanced Analytics (Bengaluru)
🏢 Lowe's
📍 Bengaluru