Data Science Tools Pandas Jobs in Mumbai

Manager - Sales Force Effectiveness (SFE) Location: Mumbai Group Company: RPG Life Sciences About the Role The Sr. Manager - SFE is responsible for driving operational excellence through data-driven insights, automation, and digital tools. This business-critical role ensures real-time KPI analysis, aligns sales activities with corporate goals, and mentors the team to enhance productivity across the organization. Key Responsibilities Strategy, Analytics & Benchmarking Align sales efforts with business objectives, including segmentation, targeting, and call planning. Monitor KPIs to evaluate sales team effectiveness and provide recommendations for improvement. Create MIS reports and dashboards for senior leadership and the PMT to ensure real-time visibility. Prepare IPM audit reports with competitor analysis and ensure EI for all brands exceeds 100% monthly. Provide market reflection summaries and insights on new product introductions. Automation, CRM & Data Quality Manage and optimize CRM platforms to support sales processes and improve productivity. Automate workflows such as call logging, sample tracking, and reporting. Oversee the integration of SFA tools with ERP and BI systems while maintaining data integrity. Train field sales teams on CRM system adoption and lead the optimization of SFA tools. Collaborate with vendors for UI/UX improvements to enhance user experience. Operations & People Leadership Optimize Travel Allowance (TA) and Daily Allowance (DA) submissions to drive a "0-deduction" culture. Provide insights on Continuing Medical Education (CME) expenditures to improve process efficiency. Mentor the SFE team on advanced tools like Excel, Power BI, and Power Query. Work with marketing, IT, and commercial teams to ensure data-driven decision-making. Address operational challenges through hands-on support and team guidance. Skills & Competencies Advanced Analytics: Proficiency in Power BI, Excel (Advanced), and Power Query. SFA Expertise: Mastery of Sales Force Automation platforms and CRM data integration. Leadership: Proven ability to coach teams and drive digital transformation. Analytical Depth: Expertise in KPI tracking, market trend interpretation, and root cause analysis. Qualifications & Experience Education: Bachelor's or Master s degree in Business, Data Analytics, or a related field. Experience: Minimum 15 years in Sales Operations, SFE, or MIS, ideally in pharma or FMCG. Track Record: Proven experience in automation, dashboarding, and team leadership. Success Metrics Timely delivery of accurate dashboards with actionable leadership insights. Measured increase in sales productivity via automation and data visibility. Reduced travel-related expenses and optimized CME processes. Development of a high-performing, continuously learning SFE team. Qualification : Bachelor's or Masters degree in Business, Data Analytics, or a related field

Job Title: Junior Data Center Engineer Location: Mumbai Experience: 1-5 Years Job Summary: We are looking for two enthusiastic and technically adept Junior Data Center Engineers to support the day-to-day operations at our Mumbai data center. Under the guidance of a Senior System Administrator, the ideal candidates will assist in hardware installations, monitoring, troubleshooting, and maintaining both physical and virtual infrastructure. Key Responsibilities: Hardware Installation & Maintenance: Assist in the installation and maintenance of servers, network devices, and racks. Environment Monitoring: Monitor key data center environmental factors such as temperature, humidity, and power to ensure optimal conditions. Troubleshooting: Perform basic troubleshooting of hardware and network issues, escalating more complex problems as needed. Remote Hands Support: Provide support for remote hands requests and coordinate with internal teams for resolutions. Inventory Management: Maintain accurate inventory of IT assets and ensure proper documentation for all equipment. Patching & Cabling: Assist in the patching, cabling, and labeling of equipment for organization and efficiency. Incident Handling: Follow SOPs for incident handling, escalation, and reporting to ensure smooth operations. Security & Compliance: Ensure compliance with physical security and access protocols for the data center. Scheduled Maintenance & Upgrades: Participate in scheduled maintenance and upgrades of data center infrastructure. Technical Skills: Operating Systems: Basic understanding of Windows and Linux operating systems. Networking: Familiarity with networking concepts such as IP, DNS, DHCP. Virtualization: Exposure to virtualization platforms like VMware and Nutanix (preferred). Data Center Operations: Knowledge of data center hardware components and operations. Monitoring & Ticketing Tools: Experience working with monitoring tools and ticketing systems. Hardware Handling: Comfort with hardware handling, cabling, and labeling. Soft Skills: Communication: Good communication and interpersonal skills to effectively collaborate with internal teams and vendors. Willingness to Learn: Eagerness to learn and adapt to new technologies in the data center environment. Attention to Detail: Strong attention to detail with a focus on documentation and operational accuracy. Adaptability: Ability to work in shifts and handle pressure in a fast-paced environment. Team Player: Proactive and collaborative attitude to contribute effectively to team success. Preferred Qualifications: Education: Diploma or Bachelor s degree in Computer Science, IT, or a related field. Certifications: Certifications such as CCNA, CompTIA A+, or equivalent (preferred but not required). Dynamic Environment: Be part of a fast-paced and innovative data center team, supporting critical infrastructure operations. Learning Opportunities: Gain hands-on experience in both physical and virtual environments with exposure to cutting-edge technologies. Growth Potential: Opportunity to expand your skill set and grow within a rapidly evolving field. Qualification : Diploma or Bachelors degree in Computer Science, IT, or a related field

IT Support Engineer / System Administrator Location: Mumbai Reporting To: Lead IT Infrastructure About the Role We re looking for a proactive and technically sound IT Support Engineer / System Administrator to join our growing IT team. In this role, you'll manage day-to-day IT operations, support internal users, and maintain the stability, performance, and security of our IT infrastructure across systems and networks. You ll be responsible for ensuring seamless technology operations across platforms Windows, macOS, network devices, cloud tools, and security systems. Key Responsibilities System & Device Management Install, configure, and maintain desktops, laptops, servers, and peripherals across Windows and macOS environments. Deploy and manage software, drivers, and operating system updates across all user systems. Maintain IT asset inventory and track hardware, accessories, and mobile devices using asset management tools or spreadsheets. User & Access Management Manage users, groups, and permissions via Active Directory and Microsoft 365 Admin Console. Support onboarding and offboarding processes in collaboration with HR and Operations ensure timely device provisioning and deactivation. Network & Security Operations Set up and manage firewalls, routers, switches, VPNs, and wireless access points to ensure secure and reliable connectivity. Configure and manage VPN access for remote employees and secure inter-office communication. Implement and monitor endpoint protection, antivirus, and malware defense tools. Perform regular system audits to ensure compliance, performance, and data protection. MDM & Remote Device Management Configure and manage MDM solutions like Microsoft Intune and Jamf to enforce security policies and manage devices remotely. IT Support & Troubleshooting Provide L1/L2 support for user issues related to hardware, software, email, VPN, printers, and connectivity. Use IT ticketing systems for issue tracking, prioritization, and resolution. Offer critical IT support during live events, production peaks, or project deliveries. Documentation & Compliance Create and maintain documentation: system configurations, procedures, issue logs, and troubleshooting guides. Support internal and external IT audits with system logs, reports, and policy documentation. Help define and enforce IT usage, security, and access policies. Skills & Qualifications Bachelor s degree in Computer Science, IT, or a related field. 4+ years of hands-on experience in IT support or system administration roles. Strong knowledge of Windows OS, macOS, and core networking principles. Experience with Active Directory, Microsoft 365, and cloud collaboration tools. Working knowledge of MDM platforms (Microsoft Intune, Jamf) and endpoint security tools. Familiarity with configuring firewalls, VPNs, and enterprise networking equipment. Strong problem-solving skills and a user-first mindset. Ability to work independently, prioritize issues, and support users both on-site and remotely. You ll be part of a dynamic team that values innovation, reliability, and continuous learning. This is a hands-on role with direct impact keeping our people connected, productive, and secure every day. Qualification : Bachelors degree in Computer Science, IT, or a related field

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Position Title: Senior Manager Generative AI & Innovation Lead Location: Mumbai Department: Data Science, AI & Innovation Job Summary We are looking for a forward-thinking and execution-focused Generative AI & Innovation Lead to drive AI-led transformation in the lending industry. In this high-impact role, you will be responsible for identifying, prototyping, and scaling cutting-edge generative AI solutions that enhance efficiency, improve customer experiences, and streamline business processes across the organization. This position is ideal for a passionate innovator who understands the rapidly evolving AI landscape and can bridge the gap between advanced technologies and real-world business needs particularly in financial services. Key Responsibilities Strategic Innovation Leadership Lead AI innovation initiatives by identifying high-impact generative AI use cases across the lending value chain. Develop and own the roadmap for generative AI adoption aligned with key business objectives. Act as a catalyst for organization-wide transformation through AI-powered solutions. Technology & Ecosystem Awareness Stay on top of the latest advancements in LLMs, multimodal AI models, and agentic frameworks. Evaluate enterprise platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, and open-source alternatives. Build internal awareness of emerging technologies and their potential applications. Competitive & Market Intelligence Benchmark AI adoption in financial services and lending industries. Analyze competitor strategies and identify whitespace opportunities and unmet customer needs. Use Case Development & Experimentation Collaborate with business, data science, and tech teams to prioritize and validate high-impact use cases. Rapidly design and develop proof-of-concepts (POCs) with measurable success metrics. Scale validated solutions into production with focus on usability, scalability, and business ROI. Agile & Lean Execution Foster a fail-fast, learn-fast culture with cost-efficient experimentation. Promote lean innovation and lead internal evangelism for AI-driven transformation. Cross-functional Collaboration Partner with engineering, data science, product, compliance, and legal teams for ethical, scalable deployment. Ensure adherence to governance standards, including explainability, fairness, and regulatory compliance. Qualifications & Experience Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus. 2+ years of experience in AI/ML, with at least 1 year hands-on in Generative AI. Proven track record of leading innovation or AI-driven initiatives, preferably in lending or financial services. Deep understanding of the lending lifecycle, including underwriting, collections, risk models, and regulatory frameworks. Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA), embedding models, prompt engineering, and vector databases. Familiarity with cloud platforms (AWS, Azure, GCP) and orchestration tools like LangChain, Haystack. Excellent communication, leadership, and stakeholder management skills. Preferred Skills Experience with synthetic data generation, document AI, conversational AI, or autonomous agents. Understanding of ethical AI, privacy laws, and compliance standards in financial services. Exposure to startups or intrapreneurial roles in launching new AI products or platforms. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus

Job Title: Lead IT Infrastructure & Security Reports To: Head IT Location: Mumbai Experience: 8 12 Years Education: B.E. / B.Tech. in Information Systems, Computer Science, Information Security, or a related field Role Overview: We are seeking a self-driven and highly skilled IT Infrastructure & Security Lead to manage and secure our IT landscape across all pan-India locations for Matix Fertiliser and Chemicals Ltd. This role involves the implementation, optimization, and security of IT infrastructure, ensuring high system uptime, performance, and protection against modern cybersecurity threats. You will play a key role in aligning IT infrastructure and security strategies with organizational goals, driving best practices, and leading initiatives that reinforce reliability, resilience, and regulatory compliance. Key Responsibilities: IT Infrastructure Management: Ensure the efficient utilization, uptime, and performance of IT systems and infrastructure across the organization. Set measurable KPIs and performance benchmarks; continuously monitor and improve against them. Manage enterprise-wide connectivity, including MPLS, LAN, and WAN infrastructure across all office locations. Oversee design, installation, monitoring, and troubleshooting of enterprise networks and systems. Manage and maintain Active Directory (AD) environments. IT Security Oversight: Administer and monitor cybersecurity tools and platforms including: Microsoft 365 Defender CrowdStrike EDR FortiGate Firewalls Checkpoint Email Protection DLP, IDP/IPS systems, and Routers Collaborate with Head IT on implementing key cybersecurity initiatives in line with the IT roadmap. Conduct risk assessments, manage vulnerabilities, and ensure compliance with internal security standards and external regulations (ISO 27001, SOC2, DPDP, etc.). Lead efforts in business continuity planning (BCP) and disaster recovery (DR) for critical IT systems. Operational & Vendor Management: Handle the procurement and lifecycle management of IT assets (laptops, servers, storage devices, printers, networking products, etc.). Source, contract, and review IT vendors and service providers. Coordinate with ISP and MPLS providers for reliable network connectivity. Manage licensing and deployment of MS Outlook 365 suite and associated tools. Backup & Data Management: Implement and manage centralized and decentralized backup solutions, ensuring data integrity and recovery readiness. Required Skills & Competencies: Technical: Solid knowledge of enterprise IT networks, cybersecurity tools, and infrastructure architecture. Hands-on experience with Windows Server environments, AD, O365, and security operations tools. Experience in security incident management, IT audits, and implementing frameworks like ISO 27001 or SOC2. Certifications (Preferred): CCNA, CEH, CISA, CISSP, CISM Familiarity with the ITIL Framework is an added advantage. Behavioral: Strong leadership and project management skills. Excellent communication and interpersonal abilities to engage with cross-functional teams and external partners. Proven client management skills and ability to work under minimal supervision. High attention to detail and a proactive mindset. Qualification : B.E. / B.Tech. in Information Systems, Computer Science, Information Security, or a related field

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Position: Lead Data Engineer Location: Mumbai, India (Hybrid 4 days onsite) Division: Engineering | Full-Time About Blenheim Chalcot Blenheim Chalcot is one of the world s leading digital venture builders. For over 20 years, we've been building disruptive, GenAI-enabled companies across industries such as FinTech, EdTech, GovTech, Media, and Sport. Headquartered in London, we operate globally, with a rapidly growing team in India that supports innovation, growth, and technical excellence across our portfolio. Blenheim Chalcot India, launched in 2009, is a central force behind our success. Our team delivers core services across technology, marketing, HR, finance, legal, and more serving as a powerful launchpad for ventures shaping global trends. About Fospha Fospha is a rapidly growing marketing measurement platform for eCommerce brands. We re certified partners of Meta, TikTok, and Snap, and have earned a reputation for helping some of the world s most well-known D2C brands unlock measurable growth. With product-market fit secured and award-winning success behind us, we re expanding globally and looking for top engineering talent to power our next phase of scale. The Role: Lead Data Engineer We re hiring a Lead Data Engineer to oversee the design, implementation, and performance of scalable ELT pipelines and data infrastructure. This is a hands-on leadership role, ideal for an experienced engineer who excels at building systems, mentoring teams, and driving business value through clean, reliable data. You will lead technical delivery in partnership with analysts, ML engineers, and stakeholders, ensuring data remains a strategic asset across Fospha s product suite. Key Responsibilities Lead and mentor a team of Data Engineers, cultivating a collaborative and high-performance environment. Own the end-to-end delivery of data engineering projects architecture, execution, quality, and scalability. Design and implement robust ELT pipelines using modern tooling and cloud infrastructure. Maintain and enhance data models used by analysts, ML engineers, and product teams. Collaborate across engineering, product, and analytics to define data requirements and delivery roadmaps. Ensure data integrity, reliability, and governance across multiple sources and systems. Contribute to exploratory data analysis, schema evolution, and pipeline optimizations. Identify and implement continuous improvements to processes, tools, and team workflows. Stay abreast of industry trends and emerging tools in data engineering and architecture. About You Required Experience & Skills Proven experience leading data engineering teams with end-to-end technical ownership. Expert-level knowledge of SQL (especially PostgreSQL) and relational databases. Proficiency in Python for data manipulation and scripting. Strong understanding of data pipelines, architecture, and ELT/ETL design. Familiarity with agile software development practices. Preferred Experience Experience using dbt (Data Build Tool) in production environments. Familiarity with AWS data services (e.g., Redshift, S3, Glue, Athena). Exposure to data modeling, statistics, or data science-friendly data design. Education Bachelor's or Master s degree in Computer Science, Engineering, or a related technical discipline. Join the world s leading venture builder, working on GenAI-enabled, high-growth startups. Hybrid work setup: 4 days onsite in our modern Mumbai office. Learn from diverse, top-tier global talent across engineering, data, and product. Culture of continuous learning, mentorship, and rapid innovation. 24 days of annual leave, 6 floater days, and 4 public holidays. Private medical insurance for you and your immediate family. Inclusive parental leave policies and a family-first work culture. A fun and collaborative environment we also own the Rajasthan Royals IPL team! Our Commitment to Diversity At Blenheim Chalcot, inclusion and meritocracy are at the core of our culture. We believe diversity drives better outcomes, and we are committed to fostering a workplace where everyone can thrive and make the most of their skills and potential. Application Process Our streamlined hiring process starts with a 15-minute introductory call, followed by interviews with our engineering leadership. We respect your time and aim to provide prompt, clear communication throughout. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related technical discipline.

Data Scraping Specialist Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

Quantitative Data Analyst Location: Mumbai About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT s collaborative mindset which enables us to solve the most complex challenges. QRT s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Quantitative Developer / Analyst to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm s success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks priorities Becoming an expert on QRT s internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimize time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset Advanced programming experience in Python. C/C++, C# is a plus 3+ years of experience as a Data Engineer/Analyst/Scientist Prior experience working with commodities data is a must Post-Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics Capacity to work with autonomy within a global team (researchers and data engineers) Experience with Bloomberg/Reuters data ecosystems A keen interest in financial markets, data analysis, and programming Fast learner, intellectual curiosity, problem solver Ability to work in a high-performance, high-velocity environment Excellent communication skills, both written and verbal QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

Position Title: Senior Software Engineer Position Summary: We are seeking a highly skilled Senior Software Engineer with a strong background in Java or the MERN stack (MongoDB, Express.js, React.js, Node.js). The ideal candidate will have 4-6 years of hands-on experience in developing and maintaining applications, and will play a key role in designing, developing, and deploying software applications. The Senior Software Engineer will collaborate with cross-functional teams to create scalable and efficient software solutions. Key Responsibilities: Software Development: Design, develop, and maintain large-scale software applications using Java or the MERN stack. Collaboration: Work closely with cross-functional teams to define, design, and implement new features. Design Ownership: Take ownership of high-level and low-level designs for each software application. Code Reviews: Conduct code reviews and provide constructive feedback to team members to ensure code quality and best practices. Performance Optimization: Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentorship: Mentor and guide junior developers, helping them grow their skills and contributing to team knowledge. Stakeholder Collaboration: Work with product managers and other stakeholders to understand requirements and deliver optimal solutions. Continuous Learning: Stay up to date with new technologies and trends, acquiring certifications as needed to meet project demands. AI/ML Exposure: Any exposure or experience with AI, ML, or Data Science will be an additional advantage. Required Skills and Qualifications: Proficiency in Java/MERN Stack: Strong experience in designing, developing, and maintaining software applications using Java, Python, or Node.js. Front-End Development: Expertise in React.js (knowledge of Angular is an added advantage). Database Knowledge: Experience with RDMS (Oracle, SQL Server, Postgres) and NoSQL databases like MongoDB. Web Technologies: Proficiency in HTML, CSS, JavaScript, and front-end frameworks. Open-Source Technologies: Extensive experience working with open-source technologies. DevOps & Cloud Knowledge: Well-versed in DevOps practices, cloud deployment (AWS, Azure), and cloud PaaS. Database Management Tools: Knowledge of database management tools like Liquibase or Hibernate is preferable. Version Control: Familiarity with Git and containerization tools like Docker. Software Development Lifecycle: Strong understanding of software development lifecycle processes and methodologies. Communication Skills: Excellent written and verbal communication skills to collaborate effectively within teams and with stakeholders. Cross-Functional Teamwork: Ability to work effectively in a cross-functional environment. AI/ML Advantage: Exposure to AI/ML frameworks (e.g., Keras, Pytorch, Scikit-learn) is a plus. Statistical & Mathematical Modeling: Knowledge of statistical analysis and mathematical modeling concepts is a plus. Education and Experience: Bachelor s Degree in Computer Science, Information Technology, Electronics, Communication, or related fields. Candidates with a degree in other branches of engineering but with proven skills through past experience/projects are also encouraged to apply. Additional Information: Experience Level: 4-6 years of relevant experience in software development. Certifications: Willingness to acquire certifications in new technologies as required by projects. Qualification : Bachelors Degree in Computer Science, Information Technology, Electronics, Communication, or related fields.

Overview of Technology Roles At BlackRock, technology has always been at the core of what we do. Our technologists are continually shaping the future of the industry through innovative work. We are not only curious but also collaborative, eager to embrace experimentation to solve complex challenges. We foster an environment that promotes working across teams, businesses, regions, and specialties. BlackRock is committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders globally. Job Description About This Role: BlackRock Company Overview: BlackRock is a global leader in investment management, risk management, and advisory services for both institutional and retail clients. Our wide range of products including separate accounts, mutual funds, iShares (exchange-traded funds), and other pooled investment vehicles helps clients achieve their goals and overcome challenges. We also provide risk management, advisory, and enterprise investment system services to institutional investors through BlackRock Solutions . Headquartered in New York City, BlackRock manages approximately $11.5 trillion in assets (as of February 5, 2025) and has around 19,000 employees across 38 countries. Aladdin Data: When BlackRock was founded in 1988, the goal was to combine financial services with cutting-edge technology. Today, BlackRock is a leading FinTech platform for investment management globally. Data is central to our Aladdin platform, which sets us apart through our ability to consume, store, analyze, and extract insights from it. The Aladdin Data team maintains a pioneering data platform that provides high-quality data to a wide range of users including investors, operations staff, data scientists, and engineers. Our goal is to consistently deliver high-quality data while evolving our platform to support BlackRock's growth. We build high-performance data pipelines, enable data discovery and consumption, and continually enhance our data storage capabilities. Studio Self-Service Front-End Engineering: The Studio Self-Service Front-End Engineering team develops full-stack web applications for vendor data self-service, client data configuration, pipelines, and workflows. Our work supports over a thousand internal users and hundreds of clients. We manage a suite of tools, including client-facing data requests, modeling, configuration management, ETL tools, CRUD applications, customized workflows, and backend APIs. Our focus is to deliver exceptional client and user experiences through intuitive tools and an excellent user experience (UX). Job Responsibilities: Design, Build, and Maintain Applications: Develop both front-end and back-end platform components in collaboration with Product and Program Managers. Implement New Functionalities: Build new user interfaces and business functionalities to meet evolving business and customer needs, with clear documentation. Improve Application Performance: Analyze and optimize the performance of applications and workflows to improve efficiency and throughput. Diagnose and Resolve Issues: Research and resolve software defects, ensuring smooth application operations. Ensure Software Stability: Conduct documentation, code reviews, regression, unit, and user acceptance testing for smooth production operations. Lead Application Support: Lead all aspects of level 2 & 3 application support, ensuring smooth operations and addressing new business opportunities. Independent Work: Take initiative and work with minimal direction in a globally distributed team. Role Essentials: Passion for Engineering: Demonstrate a passion for engineering highly available, performant full-stack applications with a "Student of Markets and Technology" attitude. Educational Background: Bachelor s or Master s degree (or equivalent experience) in Computer Science, Engineering, or a related field with 8+ years of relevant experience. Team Experience: 3+ years of professional experience working in teams. VP-level candidates should have experience leading teams delivering critical applications. Technical Skills: Proficiency in Angular, React, JavaScript for user-facing application development. Experience with Java-based REST APIs (e.g., Spring Framework). Familiarity with Protractor, TestCafe, Jest for testing. Knowledge in relational databases and at least one NoSQL database (e.g., Apache Cassandra, MongoDB). Familiarity with software development methodologies (analysis, design, development, testing) and Agile/Scrum practices. Our Benefits: To help you stay energized, engaged, and inspired, we offer a comprehensive range of benefits, including: A strong retirement plan to ensure your financial future. Tuition reimbursement for continuous learning and development. Comprehensive healthcare to keep you and your family covered. Flexible Time Off (FTO) to relax, recharge, and spend time with loved ones. Our Hybrid Work Model: BlackRock s hybrid work model promotes collaboration and apprenticeship, enriching the experience of employees while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the flexibility to work 1 day from home. Some business groups may require more office presence based on role requirements. This model fosters impactful moments when working together in person, which aligns with our commitment to performance and innovation. About BlackRock: At BlackRock, we are united by one mission: to help more people experience financial well-being. Our clients ranging from individuals saving for retirement to businesses and governments investing in infrastructure are benefiting from the investments they make through BlackRock. These investments strengthen the global economy by supporting businesses, financing cities, and facilitating innovation. We believe our success depends on the talent and diversity of our employees. That's why we are committed to creating an enviro...

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Role: Principal - Growth Manager (HPE) Function/Department: HPE Experience: 8-12 Years Education: Graduation: B.Tech, BCA, BE, B.Sc Post-Graduation: M.Tech, MCA, MBA, M.Sc Job Purpose: We are looking for a Principal - Growth Manager to lead the end-to-end digital marketing strategy for Debt Management. This role will be responsible for driving revenue growth through data-driven digital campaigns, optimizing the debt recovery process, and ensuring maximum ROI from marketing investments. You will collaborate with multiple stakeholders to design and execute impactful marketing initiatives that align with business goals. Key Responsibilities: Growth Strategy & Digital Optimization: Design and implement growth strategies to enhance the debt management process via digital channels. Lead digital marketing objectives for debt management, working with Agile Campaign Teams to drive lead generation and maximize business outcomes. Optimize cross-channel customer journeys based on analytics, stakeholder inputs, and industry benchmarks. Define audience segmentation strategies to deliver personalized offers, content, and conversations. Revenue & Performance Management: Own revenue targets for debt management and drive measurable business growth. Develop, monitor, and refine campaign performance metrics to ensure continuous optimization. Provide regular performance reports to senior leadership and make data-driven decisions to enhance campaign success. Conduct market research to identify trends and improve digital marketing effectiveness. Leadership & Collaboration: Lead and mentor a team of growth managers to drive campaign execution and achieve targets. Work cross-functionally with internal teams and external partners to develop and execute marketing strategies. Ensure seamless execution of sales lead management and lead lifecycle optimization. Secondary Responsibilities: Strong problem-solving skills with a growth mindset. Ability to understand business targets and translate them into effective marketing strategies. Optimize customer journeys (CRO) on digital and assisted platforms. Utilize bureau data insights for digital marketing strategies. Knowledge of financial products and customer lifecycle management. Comfortable working in Agile environments with an incremental ROI approach. Basic proficiency in Data Analytics & Statistics for marketing insights. Preferred Skills & Tools: Proven track record in scaling business and driving growth through digital campaigns. Hands-on experience with leading MarTech tools such as CleverTap, Salesforce Marketing Cloud, Google Analytics, and automation platforms. Ability to independently lead, communicate, and collaborate with multiple business partners and global teams. Lead high-impact digital growth initiatives in a fast-paced, data-driven environment. Work with cutting-edge MarTech tools and drive innovation in debt management marketing. Collaborate with industry experts and contribute to business growth through digital transformation. If you're a strategic thinker with a passion for digital marketing, revenue growth, and performance optimization, we invite you to apply and be part of our dynamic team! Qualification : Graduation:Bachelor of Technology B.Tech, Bachelor of Computer Applications - BCA, Bachelor of Engineering - BE, Bachelor of Science - B.ScPost-graduation: Master of Technology M.Tech, Master of Computer Applications - MCA, Master of Business Administration - MBA, Master of Science - M.Sc

Business Process Specialist Location: Mumbai, India About Dow At Dow, we believe in putting people first and are committed to delivering integrity, respect, and safety for our employees, customers, and the planet. We are a diverse and innovative team of relentless problem solvers who work together to transform industries and shape a sustainable future. Our purpose is simple: to deliver a better world through science and collaboration. If you're looking for a challenging and meaningful role, you re in the right place. About the Role Dow's Integrated Supply Chain & Improve & Scale Digital Solutions Team delivers value by defining, enabling, and supporting processes and system capabilities needed by our businesses. As a Business Process Specialist, you will play a critical role in executing strategies, driving process enhancements, and collaborating with global and regional teams to optimize supply chain operations. You will collect and analyze work process and system requirements, ensuring alignment with design principles and business needs. You will act as a subject matter expert for key supply chain functions, supporting systems like SAP, Microsoft Dynamics, OM Partners, Oracle Transportation Management, and more. Additionally, you will be responsible for compliance, regulatory adherence, training, and continuous process improvement initiatives. This role operates under the functional guidance of Global Business Process Leaders and Experts, collaborating with business process teams across Integrated Supply Chain (ISC) and Information Systems (IS). Key Responsibilities Process & System Optimization Develop in-depth knowledge of work processes, systems, technologies, applications, data, and key metrics. Provide expert-level support on system functionality, process improvement, and issue resolution. Gather, evaluate, and document work process requirements for global initiatives and projects. Ensure process compliance with regulatory and internal standards. Collaboration & Stakeholder Engagement Act as a key liaison between business units, IT teams, and process improvement functions. Support peer organizations and cross-functional teams in corporate initiatives, system testing, data migration, and implementation. Develop and deliver training programs, knowledge transfer sessions, and coaching for support teams. Data & Performance Analysis Analyze process performance metrics to monitor consistency and alignment with business goals. Identify gaps in global capabilities, leveraging best practices and emerging technologies for continuous improvement. Qualifications & Experience Education Bachelor s degree (Required) Engineering or Science preferred. Experience Minimum 3 years of relevant experience in Supply Chain, Customer Service, or Process Improvement. Technical Skills Advanced skills in Microsoft Excel, Power BI, and PowerPoint. Strong experience in handling large data sets from multiple sources. Proficiency in Data Visualization tools & techniques. Preferred Skills Digital mindset with a strong focus on innovation and automation. Critical thinking and problem-solving skills. Project management and system/process improvement expertise. Training delivery experience. Excellent communication skills verbal and written. Additional Information Flexibility to support global operations and alternate time zones (North America, EMEAI, LAA, APAC) is required. Relocation assistance is NOT available for this role. Competitive Salary & Bonus Market-aligned compensation with performance-based incentives. Career Growth Opportunities for training, mentoring, and professional development. Comprehensive Benefits Medical, life insurance, and mental health support. Work-Life Balance Flexible workplace culture for personal and professional productivity. Parental & Family Support Paid leave for new parents and caregivers. Paid Time Off & Volunteering Vacation allowance, community engagement, and Employee Resource Groups (ERGs). Wellbeing & Perks Gym memberships, discounts, and transportation benefits (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science, providing innovative solutions across packaging, infrastructure, automotive, and consumer care. With 1,000+ employees, we are a Great Place to Work Certified company, committed to corporate social responsibility (CSR). We actively support women, children, and differently-abled individuals through technology and volunteerism. Join Our Team & Make an Impact! At Dow, we celebrate diversity, collaboration, and innovation. If you are passionate about business process improvement and digital transformation, we encourage you to apply! Apply now and be part of a global team transforming industries through science! Qualification : Bachelors degree (Required) Engineering or Science preferred.

International Trade Operations Senior Logistics Specialist Location: Mumbai, India About Dow At Dow, we put people first and are passionate about delivering integrity, respect, and safety for our employees, customers, and the planet. We are a diverse and innovative community of problem solvers who work together to transform industries and shape a sustainable future through science and collaboration. If you're looking for a challenging and meaningful role, you re in the right place. About the Role The International Trade Operations Senior Logistics Specialist plays a key role in managing containerized transport logistics for exports and imports to and from North America across all transport modes. This position works closely with Customer Service, Business Supply Chain, and Site Logistics teams to ensure seamless international trade operations. You will analyze and resolve logistics challenges using technical expertise, prescribed policies, and past experience while receiving moderate guidance and direction. Key Responsibilities Logistics & Shipment Management Manage the Leverage Team functional mailbox, monitoring delivery notes and shipment processes. Run daily Z2 Block Reports, addressing errors and coordinating with order owners. Resolve system errors related to shipment creation and auto-new offer by opening tickets with DSS. Update equipment types, ECC Equipment Table, and ECC Loadability Matrix as required. Communicate with Export Logistics Manager and Business Loadability Contact regarding loadability queries. Route & Data Management Handle the FNAROUT functional mailbox and manage route creation via OTM and ECC transportation connection points. Maintain Business Structure reports within ECC. Execute the Logistics Processing Tool process daily, ensuring accurate updates to Freight Forwarders. Qualifications & Experience Education Bachelor s Degree (Required) Preferred in Supply Chain Management, Business, Engineering, or other Sciences. Experience 3-6 years of experience in International Trade Logistics, Supply Chain, or a Manufacturing environment. Technical Skills Proficiency in SAP/ECC (Enterprise Core Component). Strong analytical and problem-solving skills. Advanced computer proficiency, including data analysis tools. Experience in project management and process improvement. Preferred Skills Strong interpersonal and communication skills. Ability to work independently and in a team-oriented environment. Fluency in English (written & verbal); proficiency in additional languages is a plus. Ability to work in U.S. Eastern Standard Time (Midland, MI hours). Additional Notes This role requires an understanding of key business drivers and best practices within the logistics function. You will analyze and resolve problems using technical knowledge, established processes, and sound judgment. Your performance will impact both individual and team success, making it essential to follow guidelines and policies while driving efficiency and innovation. Competitive Salary & Bonus Market-aligned compensation with performance-based incentives. Career Growth Opportunities for training, mentoring, and professional development. Comprehensive Benefits Medical, life insurance, and mental health support. Work-Life Balance Flexible workplace culture for personal and professional productivity. Parental & Family Support Paid leave for new parents and caregivers. Paid Time Off & Volunteering Vacation allowance, community engagement, and Employee Resource Groups (ERGs). Wellbeing & Perks Gym memberships, discounts, and transportation benefits (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science, providing innovative solutions across packaging, infrastructure, automotive, and consumer care. With 1,000+ employees, we are a Great Place to Work Certified company, committed to corporate social responsibility (CSR). We actively support women, children, and differently-abled individuals through technology and volunteerism. Join Our Team & Make an Impact! At Dow, we celebrate diversity, collaboration, and innovation. If you are passionate about international trade logistics and supply chain operations, we encourage you to apply! Apply now and be part of a global team transforming industries through science! Qualification : Bachelors Degree (Required) Preferred in Supply Chain Management, Business, Engineering, or other Sciences.

Position: Natural Language Processing (NLP) Engineer - Fundamental Fixed Income Team About the Role: BlackRock's active fixed income portfolio strategies span across a wide range of investment styles and segments, with a focus on alpha generation and risk management. The team uses a combination of top-down insights from lead portfolio managers and bottom-up expertise from sector specialists to deliver attractive returns in various market conditions. Join the Fundamental Fixed Income team and make a significant impact by using advanced data science techniques to solve complex problems in finance. Your Responsibilities: Work with advanced natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, with an understanding of implementing Vector Databases. Follow best programming practices such as unit tests, code organization, and basics of CI/CD to create well-maintainable and tested codebases. Develop prototypes for individual components of software or data science solutions, leveraging basic data structures and algorithms. Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to continue research on use cases developed within firm-wide initiatives. Education and Qualifications/Skills: 7-12 years of experience in a relevant field. Motivated team player with the ability to work independently and flexibly. Proficiency in Python, including experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. Knowledge of at least one domain such as generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis. A passion for solving real-world finance problems using data science and machine learning approaches. Strong analytical thinking skills and ability to creatively solve business problems. Experience with data exploration, analysis, and creating visualizations, and implementing algorithmic solutions in ML. Self-driven, results-oriented, and able to collaborate effectively across time zones and geographies. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. About BlackRock: At BlackRock, we are united by one mission: helping more people experience financial well-being. Our clients use their investments to save for retirement, pay for education, buy homes, and start businesses. These investments strengthen the global economy, supporting businesses large and small, financing infrastructure projects, and fueling innovations. Our mission would not be possible without our greatest investment our people. We re committed to fostering an environment where employees feel welcomed, valued, and supported with benefits, networks, and opportunities for growth.