We are building Saulikh, a platform transforming agri-trade with data science and AI. Our goal is to bring trust, transparency, and intelligence to commodity trading at scale. Role Overview We are seeking a Data Scientist to lead data-driven initiatives across trade, pricing, risk, and logistics. The role involves working with real-world datasets, building dashboards, applying ML models, and assisting in the development of prototypes for trust scoring, fraud detection, and forecasting. Key Responsibilities Collect, clean, and preprocess financial, transactional, and behavioral datasets from multiple sources. Design and implement trust/credit scoring algorithms that assess buyer/seller reliability and default risk. Engineer features from trade history, payment timeliness, disputes, cancellations, and external market data. Apply statistical models and machine learning techniques (logistic regression, random forests, gradient boosting, neural networks) to predict trustworthiness. Develop scoring frameworks normalized to a range (e.g., 0–1000), similar to CIBIL standards. Validate and back-test models against historical data to ensure accuracy, fairness, and stability. Build monitoring pipelines to track score performance, drift, and anomalies in real time. Work with business and product teams to ensure scores align with practical trade and risk management requirements. Document methodologies and communicate insights to technical and non-technical stakeholders. Requirements Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field. 2–5 years of experience as a Data Scientist, preferably in credit scoring, risk modeling, or fraud detection. Strong proficiency in Python (pandas, numpy, scikit-learn, statsmodels) or R. Experience with machine learning algorithms such as logistic regression, decision trees, random forests, gradient boosting (XGBoost/LightGBM), and neural networks. Strong SQL skills for handling large datasets; experience with data pipelines and API integrations. Domain knowledge of credit scoring principles, risk assessment, and regulatory considerations . Experience in model validation, back-testing, and ensuring fairness and interpretability. Excellent analytical and problem-solving skills with attention to detail. Strong communication skills for presenting findings to technical and business stakeholders. The interested candidates may apply here.
We are building Saulikh, a platform transforming agri-trade with data science and AI. Our goal is to bring trust, transparency, and intelligence to commodity trading at scale. Role Overview We are seeking a Data Scientist to lead data-driven initiatives across trade, pricing, risk, and logistics. The role involves working with real-world datasets, building dashboards, applying ML models, and assisting in the development of prototypes for trust scoring, fraud detection, and forecasting. Key Responsibilities Collect, clean, and preprocess financial, transactional, and behavioral datasets from multiple sources. Design and implement trust/credit scoring algorithms that assess buyer/seller reliability and default risk. Engineer features from trade history, payment timeliness, disputes, cancellations, and external market data. Apply statistical models and machine learning techniques (logistic regression, random forests, gradient boosting, neural networks) to predict trustworthiness. Develop scoring frameworks normalized to a range (e.g., 01000), similar to CIBIL standards. Validate and back-test models against historical data to ensure accuracy, fairness, and stability. Build monitoring pipelines to track score performance, drift, and anomalies in real time. Work with business and product teams to ensure scores align with practical trade and risk management requirements. Document methodologies and communicate insights to technical and non-technical stakeholders. Requirements Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Economics, or a related field. 25 years of experience as a Data Scientist, preferably in credit scoring, risk modeling, or fraud detection. Strong proficiency in Python (pandas, numpy, scikit-learn, statsmodels) or R. Experience with machine learning algorithms such as logistic regression, decision trees, random forests, gradient boosting (XGBoost/LightGBM), and neural networks. Strong SQL skills for handling large datasets; experience with data pipelines and API integrations. Domain knowledge of credit scoring principles, risk assessment, and regulatory considerations . Experience in model validation, back-testing, and ensuring fairness and interpretability. Excellent analytical and problem-solving skills with attention to detail. Strong communication skills for presenting findings to technical and business stakeholders. The interested candidates may apply here. Show more Show less
As the Head for Soya (Agri) export for International business at Dhirendra Group, located in Navi Mumbai, MH, you will be responsible for spearheading the export operations of the organization. Your role will be pivotal in formulating and executing the export strategy in alignment with the company's overarching business objectives. By driving the expansion of the international market presence, you will play a crucial part in optimizing export processes to enhance efficiency and profitability while ensuring adherence to global trade regulations. Your primary responsibilities will include developing and implementing the company's export strategy, managing the export team to facilitate seamless operations, and negotiating export contracts with international clients. Your expertise in monitoring international market trends, ensuring compliance with export regulations, and optimizing logistics processes will be instrumental in identifying opportunities and mitigating risks associated with export operations. Moreover, you will be expected to maintain strong relationships with international partners, oversee financial aspects of export operations, and lead the development of export sales forecasts and budgets. Your role will also involve representing the company at international trade shows, exhibitions, and industry events, providing guidance on export regulations and compliance, and resolving any escalated issues related to export operations. The ideal candidate for this role should have a proven track record of driving substantial growth in export sales, possess extensive knowledge of global trade regulations and customs procedures, and demonstrate exceptional leadership and people management skills. Strong negotiation and communication abilities, strategic thinking, proficiency in logistics and supply chain management, and sound financial acumen are essential qualifications for this position. Additionally, experience in representing companies at international trade events and exhibitions will be advantageous. If you are a visionary leader with a passion for international business and a solid background in export operations, compliance, and strategic planning, we invite you to join us at Dhirendra Group and contribute to our mission of expanding our Soya (Agri) export business on a global scale. For further details and to apply, please visit www.dhirendragroup.com. Regards, Manisha Koul Dhirendra Group,
About the Role We are creating a structured, efficient, and scalable system for agri-commodities and beyond. The role involves designing, documenting, and executing the end-to-end framework for trade processes —from procurement and logistics to compliance and payments. Key Responsibilities Map out the entire trade process lifecycle and identify gaps, bottlenecks, and opportunities. Design structured workflows, SOPs, and documentation systems for smooth execution. Collaborate with internal teams, external stakeholders, and regulators to ensure compliance. Research global best practices in trade facilitation and adapt them to the Indian and international context. Work on integrating technology (AI, platforms, automation) into the trade system to drive speed and transparency. Continuously monitor and improve efficiency, cost structures, and risk mitigation . Who Should Apply Strong background in supply chain, trade, logistics, or operation particularly in Agri Commodities trade. Analytical thinker with the ability to design systems and processes . Familiarity with documentation, compliance, and international trade regulations . Bonus if you have worked in consulting, startups, or trade platforms . A builder’s mindset – someone who wants to create order out of chaos . Interested candidates can apply at dharmanshu@dhirendragroup.com