Data Analyst (AI & ML Techniques for Large Data Sets) We are looking for a skilled Data Analyst with expertise in working with large data sets, leveraging AI (Artificial Intelligence) and ML (Machine Learning) techniques to extract insights, build predictive models, and deliver actionable business solutions. The ideal candidate will possess strong analytical skills, technical proficiency, and a passion for working with data to solve complex problems. Job Description (Primary Responsibilities) 1. Data Collection and Preparation: Collect, clean, and preprocess large volumes of structured and unstructured data from multiple sources. Develop and maintain data pipelines to ensure the accurate and efficient processing of data. Handle data inconsistencies, missing values, and outliers, ensuring high-quality, usable datasets for analysis. 2. Exploratory Data Analysis (EDA): Perform detailed exploratory data analysis (EDA) to understand data patterns, trends, and relationships. Visualize data using tools such as Tableau or Power BI to identify key insights and drive decision-making. 3. AI and Machine Learning Model Development: Apply AI and machine learning algorithms (e.g., classification, regression, clustering, deep learning) to build predictive and prescriptive models. Train, tune, and evaluate machine learning models to optimize their performance. Automate model deployment and update processes for continuous improvement in accuracy and efficiency. 4. Advanced Analytics: Use statistical methods and machine learning techniques to forecast trends, identify anomalies, and detect patterns in large data sets. Apply natural language processing (NLP) and computer vision techniques for text and image data analysis when needed. 5. Data Visualization and Reporting: Communicate findings clearly through visualizations and reports to stakeholders across the organization. Present complex data insights in an accessible and actionable format for both technical and non-technical audiences. 6. Collaboration and Communication: Work closely with cross-functional teams to understand business needs and objectives. Provide analytical support to business stakeholders by offering data-driven insights and recommendations. 7. Continuous Improvement: Stay updated on the latest trends in AI/ML technologies and data analytics. Continuously evaluate and implement new techniques to improve the quality and efficiency of analysis. Explore new ways to automate repetitive tasks and improve business operations through data-driven solutions. Desired Skills/Qualifications: Education: Engineer from tier 1 college(IITs/RECs/NSUT/DTU), Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. MBA or CFA a plus Experience: 2-5 years of experience in data analysis, data science, or machine learning roles, with hands-on experience in managing and analyzing large datasets. Skills: Proficiency in Python, R, or similar programming languages for data analysis and machine learning. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikitlearn. Familiarity with AI techniques, including deep learning, reinforcement learning, and NLP. Strong knowledge of SQL for querying large data sets. Expertise in data visualization tools (e.g., Tableau, Power BI). Experience with big data platforms and tools (e.g., Hadoop, Spark) is a plus. Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing. Soft Skills: Strong problem-solving and critical-thinking abilities. Excellent communication and presentation skills. Ability to work independently and as part of a team. Attention to detail and the ability to work with complex data sets. Preferred Qualifications: Experience with deploying machine learning models to production environments. Knowledge of advanced analytics techniques such as time series forecasting, anomaly detection, or reinforcement learning. Experience in a real estate industry is a plus. Amhersts core values: Culture & Conduct: Positive attitude with high integrity. Agile in adapting to a dynamic environment with emerging datapoints. We do the right thing the right way and are accountable for our actions. Client-Centricity & Business Acumen: Strong Team player, multiple internal/external stakeholders management, Communication & Connectivity: Strong written and verbal communication skills with clients and management. Collaboration We align, contribute, and win together. Execution & Delivery: Self-starter, Proactive, motivated, driven personality, Excellent organizational and time management skills. Agility We are nimble and responsive. Community We empower and support people to create a sense of belonging for all. Working Shift/ arrangement: US Shift (1:30 PM 10:30 PM IST), Flexible - Hybrid working model

Department / Role Overview: Amherst Residential Within the broader Amherst organization, the Merchant Banking business unit serves as the cornerstone of investment management activities. This division oversees critical financial operations including raising new debt and equity capital, forming new ventures, executing strategic acquisition and disposition of homes, and managing Amherst's extensive portfolio investments. As part of Amherst's fully integrated approach, the Merchant Banking business unit works in close coordination with other key divisions, including Development and Operations. This role is positioned within the Investment Strategy team, a critical component of the Merchant Banking division. In this position, you will directly contribute to the sophisticated data-driven processes that inform and power Amherst's investment decisions. The Investment Strategy (Research) team functions as the analytical engine behind Amherst's market success. This specialized group combines advanced modeling techniques, comprehensive market surveillance, and data-driven methodologies to develop insights that guide investment strategy across the entire portfolio. By applying rigorous quantitative analysis alongside deep industry expertise, the team effectively monitors both internal operational metrics and broader market movements to identify emerging opportunities, anticipate shifts, and generate actionable intelligence. As an integral part of Amherst's vertically integrated platform, the Investment Strategy team seamlessly translates analytical findings into strategic capital deployment recommendations. This collaborative approach allows the team to work effectively with other business units while maintaining Amherst's competitive advantage in making informed, data-backed investment decisions in the dynamic real estate marketplace. Primary Responsibilities: Model Maintenance: Maintain and regularly update existing investment models, ensuring data accuracy and timely refreshes. Data Support: Gather, validate, and organize data from multiple sources to support ongoing investment analysis. Reporting Assistance: Assist in preparing recurring investment reports and presentations for internal stakeholders. Performance Tracking: Monitor and update key portfolio metrics, comparing performance against established benchmarks and targets. Analysis Support: Conduct basic market research and data analysis to support the Investment Strategy teams decision-making process. Visualization Development: Create and update charts, graphs, and dashboards to communicate investment insights effectively. Documentation: Maintain comprehensive documentation of data sources, analytical methodologies, and model assumptions. Desired Skills & Qualifications: Bachelor's degree in Finance, Economics, Data Science, Statistics, or a related quantitative field. 2-6 years of experience in an analytical, research, or financial role; exposure to real estate investment analysis is a plus but not required. Strong proficiency in Microsoft Excel, including formulas, pivot tables, and data analysis; experience with macros and VBA is a plus. Familiarity with data analysis tools such as Python, R, or SQL, with the ability to independently run analyses and modify existing code. Experience with data visualization tools like Tableau or Power BI is a plus. Proficiency in Microsoft PowerPoint, with the ability to develop clear, data-driven presentations. Exceptional attention to detail and organizational skills. Strong communication skills and the ability to work collaboratively in a team environment. A proactive mindset with a strong desire to learn and grow analytical skills within an investment context. Working Shift/ arrangement : US Shift (1:30 PM - 10:30 PM - IST), Flexible - Hybrid working model.