Decision Intelligence Jobs in Mumbai

Product Marketing Manager Location: Mumbai Department: Business Development About the Role We re looking for a detail-oriented and strategic Product Marketing Manager to join our growing team in Mumbai. In this role, you ll shape how our product suite is perceived by customers, prospects, and partners. You will own the narrative from positioning and messaging to go-to-market (GTM) execution and sales enablement playing a key role in driving product adoption and market success. This is a high-impact opportunity to work cross-functionally with product, marketing, sales, and customer success teams to tell compelling stories, launch powerful campaigns, and enable growth in a fast-paced enterprise SaaS environment. What You ll Be Responsible For Positioning & Messaging Develop clear, differentiated, and compelling messaging that resonates with target personas and sets our products apart in the market. Feature Launches & Amplification Own the GTM strategy for new features and product launches, ensuring sustained visibility and customer engagement. Content & Collateral Creation Craft high-impact content for landing pages, ad campaigns, website, product brochures, and more translating product value into customer language. Cross-Functional Collaboration Work closely with product, marketing, sales, and customer success teams to align messaging and marketing initiatives with business objectives. Market & Customer Intelligence Stay ahead of industry trends, competitors, and customer needs. Translate insights into actionable intelligence and sales tools. Sales Enablement Equip the sales team with persona-based pitches, playbooks, sales decks, competitive battle cards, and product training that drive conversions. Thought Leadership & Evangelism Represent the company as a product evangelist, both internally and externally. Serve as a go-to spokesperson and thought leader in relevant forums. Campaign Execution Plan, execute, and optimize marketing programs that contribute to pipeline growth for both new and expansion business. What You Bring Education MBA or equivalent degree in Marketing. Experience 6 8 years in B2B marketing, ideally within enterprise SaaS. Proven experience in content development, GTM strategy, and sales enablement. Skills Exceptional written and verbal communication. Ability to simplify complex products into easily digestible messaging. Proficiency in CRM and marketing automation platforms (HubSpot, Zoho preferred). Strong analytical skills with a data-driven approach to marketing decisions. Ability to influence without authority in a matrixed organization. Comfortable engaging with senior stakeholders and cross-functional teams. We thought you d never ask! In addition to a competitive salary and flexible working hours, here s what makes Tanla a great place to grow: Challenging, High-Impact Work: Solve real-world problems in a fast-evolving telecom and CPaaS ecosystem you ll never have a boring day. Innovative Culture: Work in a product-first, action-oriented environment that values curiosity, ownership, and continuous learning. World-Class Team: Collaborate with smart, driven professionals who thrive on solving complex problems. We re an equal opportunity employer with a bias for action and a love for innovation. Qualification : MBA or equivalent degree in Marketing

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: Deputy Manager Business Planning Employment Type: Full-Time Department: Finance Team Location: Mumbai About TimesPro TimesPro, the award-winning Higher EdTech initiative from the Times of India Group, is committed to revolutionizing professional education in India. Established in 2013, we deliver Education 4.0 an approach that is learner-centric, industry-relevant, role-specific, and technology-enabled. We offer a broad range of programs: Early Career Programs in BFSI, e-commerce, and technology Executive Education in collaboration with top national and global institutions Enterprise Learning Solutions for organizational development Role Overview We are seeking a detail-oriented and analytical Deputy Manager Business Planning to join our Finance team. This role plays a critical part in financial planning, performance analysis, cost management, and supporting strategic decision-making. You will work closely with cross-functional teams to drive financial insight and business alignment. Key Responsibilities MIS Reporting Prepare and present monthly, quarterly, and annual MIS reports, dashboards, and KPIs Deliver actionable insights and financial commentary Ensure timely and accurate reporting to stakeholders Financial Modeling & Business Case Analysis Build robust financial models for new business lines and long-range planning Conduct feasibility studies, ROI evaluations, and scenario planning Partner with business teams to assess commercial viability Cost & Responsibility Accounting Implement and maintain cost tracking systems Analyze cost structures by product, service line, and function Drive responsibility accounting to evaluate departmental efficiency Variance Analysis Analyze monthly actuals vs. budget/forecast Investigate deviations and recommend corrective measures Cash Flow & Fund Flow Management Monitor daily cash positions and forecast fund requirements Coordinate with treasury to optimize working capital and liquidity Budgeting & Business Planning Lead annual budget preparation and quarterly forecasting Align planning with organizational goals and market conditions Drive long-term financial and strategic planning initiatives Competitive & Market Intelligence Analyze competitor P&Ls and benchmark financial performance Provide insights on market trends to support strategic decisions Benchmarking & Best Practices Compare internal performance against industry benchmarks Recommend improvements to financial planning and analysis processes Key Requirements Skills & Tools Strong analytical and problem-solving capabilities Advanced Excel and financial modeling skills Proficiency in data visualization tools (e.g., Power BI, Tableau) Knowledge of SAP and financial accounting standards Excellent communication and stakeholder engagement skills Qualifications CA / CMA / MBA (Finance) or equivalent 2 5 years of experience in FP&A, business planning, cost accounting, or related functions This role offers an excellent opportunity to contribute to the financial backbone of a fast-growing EdTech organization, with exposure to strategic planning and cross-functional collaboration. Qualification : CA / CMA / MBA (Finance) or equivalent

Job Title: Strategy Analyst Reports To: Joint President Supply Chain & Distribution (SCD) Location: Mumbai Experience Required: 6+ Years Qualification: Engineering + MBA (Finance) or CFA Preferred Background: Finance sector, Investment Banking, Project Analysis (especially in Industrial/Specialty Chemicals, Energy, Transportation), or Corporate Strategy roles with a focus on financial decision support Role Overview: Matix is seeking a dynamic and analytical Strategy Analyst to join our corporate team in Mumbai. This full-time, on-site role is critical to supporting strategic initiatives, financial analysis, market intelligence, and competitive benchmarking. The ideal candidate will bring a blend of financial acumen, sector knowledge, and data-driven insights to support the company s long-term growth in the chemicals, fertilizers, and agri-tech sectors. Key Responsibilities: Market & Industry Research Conduct in-depth independent research and analysis on assigned sectors (chemicals, fertilizers, agri-tech, energy, etc.). Stay updated with relevant financial news, sector trends, regulatory changes, and emerging risks or opportunities. Identify and recommend strategic opportunities aligned with the organization s vision and long-term goals. Business Intelligence & Analytics Develop sector trackers and dashboards using tools like Power BI, integrating real-time competitor insights and industry benchmarks. Analyze upstream and downstream industry developments, creating actionable management information systems (MIS) and trackers. Strategic and Financial Planning Support financial modeling, forecasting, and valuation analysis for new initiatives or investment proposals. Evaluate techno-commercial viability of strategic options, including M&A opportunities, partnerships, and diversification. Work with cross-functional teams to create strategy presentations and decision-making reports for senior leadership. Stakeholder Engagement Build a network with agri-tech startups, investors, and venture capital funds to explore collaboration and investment opportunities. Support leadership in preparing for board-level discussions, strategy reviews, and market positioning exercises. Required Competencies: Functional Skills: Strong analytical and financial modeling capabilities. Deep understanding of financial markets, capital structures, and sectoral regulations. Familiarity with project finance, corporate finance, and investment evaluation methodologies. Proficiency in Microsoft Excel, PowerPoint, and Power BI for dashboards and presentations. Behavioral Traits: Highly self-motivated, initiative-driven, and capable of working independently. Excellent communication and presentation skills. Collaborative team player with the ability to influence cross-functional stakeholders. Demonstrated attention to detail, critical thinking, and problem-solving mindset. Preferred Additions: Exposure to the agriculture, fertilizer, chemical, or energy sectors. Experience working in investment banking, private equity, corporate strategy, or consulting. Previous involvement in dashboard creation, competitive intelligence, or strategic project evaluation. Qualification : Engineering + MBA (Finance)

Sr. Manager Business Strategy Location: Mumbai Experience: 4 9 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications Tata Communications is at the forefront of redefining global connectivity. With innovation and intelligence at our core, we power digital transformation through Cloud, Mobility, IoT, Unified Collaboration, Security, Media, and Network Services. As a leader in the evolving tech landscape, we are building the New World of Communications. Role Overview As a Senior Manager Business Strategy, you will lead and drive the structured execution of strategic initiatives across business units, functions, and customer accounts. This role combines market analysis, competitive intelligence, strategic planning, and program governance to enable data-driven decision-making and ensure alignment with mid- to long-term business goals. You ll be at the center of shaping strategic priorities, building actionable frameworks, guiding cross-functional teams, and influencing key business decisions. Key Responsibilities Market & Competitor Intelligence: Analyze external market trends, industry reports, and competitor benchmarks (e.g., financial performance, customer segments, network investments). Strategic Planning & Execution: Design strategic frameworks, define growth levers, and evaluate new business opportunities (e.g., product/region entry, value proposition, GTM strategy). Business Analysis: Conduct scenario planning, business case development, performance reviews (e.g., product mix, sales ratios, revenue gaps), and identify operational areas requiring intervention. Roadmap & Alignment: Build strategic roadmaps with business teams and advise on implications of key initiatives. Ensure strategies are executable and measurable. Cross-Functional Collaboration: Coordinate with functional teams to translate strategy into detailed deployment plans with defined deliverables and success metrics. Program Governance: Lead project governance by tracking KPIs, budgets, and timelines. Take corrective action to address gaps in execution. M&A and Innovation Initiatives: Lead due diligence for M&A opportunities. Identify risks and new growth avenues. Partner with external firms and drive internal innovation projects. Minimum Qualifications & Experience 4 9 years of experience in strategy consulting, product or sales strategy, or business planning within technology or telecom services. Bachelor's degree required; MBA or equivalent preferred. Desired Skills & Competencies Strong business acumen with a solid grasp of technology trends. Proven ability to translate business challenges into data-backed insights and actionable strategies. Experience with go-to-market planning, financial modeling, and value proposition development. Excellent communication, stakeholder management, and collaboration skills. Deep understanding of the enterprise networking and telecom competitive landscape. Strong program and project management capabilities with a focus on execution excellence. Join a global leader at the forefront of digital transformation. Shape strategic direction in a high-impact, high-visibility role. Work with top-tier talent across innovation, product, and business teams. Be part of a dynamic organization that values foresight, agility, and collaboration. Qualification : Bachelor's degree required; MBA or equivalent preferred

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

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

Job Title: Director Business Development Location: Mumbai, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a trailblazing consumer technology company operating innovative digital platforms such as Glance, Roposo, and Nostra. Glance s smart lock screen inspires users by delivering relevant content instantly, without the need to search or download apps, and is featured on over 400 million smartphones globally. Roposo revolutionizes live experiences through immersive, creator-led content, while Nostra is the largest gaming platform across India and Southeast Asia. At Glance, we encourage you to dream big, innovate boldly, and make a tangible impact from day one. Collaborate with talented peers, enjoy autonomy with support, and leverage cutting-edge technology to redefine consumer experiences. Our benefits include daily meals, gym facilities, training programs, tech tools, and a pet-friendly office culture. Role Overview We are seeking a dynamic Director Business Development with entrepreneurial flair to lead our ecommerce and dropshipping product sourcing operations. This pivotal role involves driving strategic partnerships, expanding business operations, and spearheading revenue growth through innovative sourcing and market expansion strategies. Key Responsibilities Partnership Development: Identify, research, and onboard strategic partners, suppliers, and affiliates in the ecommerce and dropshipping sectors. Negotiate contracts and pricing to establish mutually beneficial relationships. Strategic Business Planning: Develop and implement sourcing and business development strategies aligned with company goals. Collaborate with senior leadership to set KPIs, define growth targets, and create actionable plans. Market Analysis & Innovation: Conduct comprehensive market research to uncover trends, competitive dynamics, and growth opportunities. Use insights to drive strategic initiatives and product portfolio expansion. Revenue Optimization: Drive revenue growth by introducing and scaling hero and new products within the ecommerce portfolio. Monitor sales and performance metrics, iterating on strategies to maximize profitability and conversion rates. Business Expansion: Explore and evaluate new market entry opportunities and scalable growth avenues for ecommerce/dropshipping. Assess risks and develop market penetration strategies accordingly. Cross-Functional Leadership: Work closely with marketing, operations, and product teams to ensure alignment and execution of business development strategies. Provide leadership and direction to cross-functional teams, fostering collaboration and goal achievement. Qualifications & Experience Master s degree in Business Administration, Marketing, or related field (preferred). Proven track record in business development, sourcing, sales, or partnership management within ecommerce or dropshipping. Strong knowledge of ecommerce trends, technologies, and industry best practices. Excellent negotiation, communication, and interpersonal skills. Strategic thinker with a results-oriented mindset able to thrive in fast-paced environments. Analytical with proficiency in data-driven decision making. Entrepreneurial spirit passionate about innovation and business growth. Qualification : Masters degree in Business Administration, Marketing, or related field (preferred).

BFSI Enterprise Director Location: Mumbai, India As part of our rapidly expanding Enterprise business, we are looking for a BFSI Leader to scale the business in the India region. You will lead a team of professionals and be responsible for multiplying consumption, new customer acquisition, and developing the ecosystem. You will inherit a team of seasoned campaigners, passionate about building a data ecosystem in the India region, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Head of Enterprise business, India Region. The Impact You Will Have: Scale a team of motivated Enterprise Account Executives to increase growth in the BFSI domain. Inspire a culture of teamwork, leading with value, and achieving desired customer outcomes. Develop trust-based relationships with customers and partners to ensure long-term success. Encourage learning and ongoing understanding of technical product details and our future product roadmap. Lead our BFSI Enterprise growth plans, ensure forecast accuracy, and drive a predictable, high-growth business. What We Look For: Desire to build a collaborative, inspired team culture. Alignment with our core values: customer obsession, teamwork, ownership, and data-driven decision making. 15+ years of experience building a high-growth sales team serving BFSI customers. Experience in the Big Data, Cloud, or SaaS Sales industry. A history of exceeding sales quotas in similar high-growth Enterprise software companies. Understanding of value selling and structured methodologies (e.g., MEDDPICC, Challenger, Command of Message). Knowledge of developing the partner ecosystem to help grow strategic enterprise territories. Success in implementing strategies for usage and booking-based sales revenue models. Enterprise BFSI experience coupled with Cloud Data & AI experience is highly desirable. About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Job Title: Financial Analyst Key Responsibilities: Prepare detailed reports and analysis, including management commentary Provide ad-hoc reporting support to the CFO and Management Team Assist in budgeting and forecasting processes Track Key Performance Indicators (KPIs), perform variance analysis, and conduct trend analysis Drive process improvements and automation initiatives Collaborate with cross-functional teams, including Operations, Strategy, and Practice Leaders, to gain insights into business drivers and provide actionable financial recommendations Support the decision-making process by delivering timely and relevant financial insights Required Skills and Qualifications: Proficiency in MS Excel is essential Experience with Business Intelligence (BI) tools is a plus Strong analytical and problem-solving abilities Excellent presentation skills Quick learner with a strong ability to adapt Strong communication skills and a collaborative team player

Demand Planner Main Purpose of the Role: The Demand Planner is responsible for owning, facilitating, and administrating the forecasting and S&OP process for categories and channels. The role involves creating demand plans, analyzing data, and driving cross-functional collaboration to ensure accurate and efficient forecasting. Main Accountabilities: Analyze Demand Patterns: Develop a demand construct at the SKU level based on historical data, trends, and inputs from key stakeholders. Unbiased Decision Making: Make decisions related to up-lifts/down-lifts based on insights from Brand and Customer Marketing Teams. Cross-Functional Collaboration: Liaise with teams such as Brand, Customer Marketing, Supply Planning, Customer Service, Category/Channel Finance, and others to drive the S&OP process for categories. Short-Term Forecasting: Partner with Branch teams to develop and refine short-term forecasts, aligning with current market realities. Channel and Category Management: Manage complexities related to channel behaviors, category ambition vs. channel reality, and seasonality. Stakeholder Communication: Ensure effective communication with all relevant stakeholders to achieve consensus on demand plans and ensure alignment across teams. Continuous Improvement: Periodically review the QGP/3TDP forecast, analyze forecast accuracy and bias, and implement improvements to enhance key forecasting metrics (KPI s). Event Planning: Coordinate and plan for events (e.g., Big Day, Public Holidays) to ensure demand is accurately forecasted and met. Market Intelligence: Identify demand drivers influenced by changing economic landscapes and adjust forecasting processes accordingly. Skills and Competencies: Effective Communication: Strong ability to communicate with internal teams, external partners, and stakeholders to ensure clarity and alignment. Analytical Skills: Excellent ability to analyze data, identify trends, and make data-driven decisions. Growth Mindset: A proactive, continuous learning attitude, with an openness to process improvements and new methodologies. Requirements: Qualification: MBA in Supply Chain or Operations. Experience: 3 8 years in Demand Planning and SAP-APO. Industry: Experience in FMCG & Pharma, Consumer Durables, or E-Commerce industries. Key Skills: Demand Planning & SAP-APO: Proven expertise in demand planning and proficiency in SAP-APO. Communication & Analytics: Strong communication and analytics skills, with the ability to form clear, data-backed viewpoints and drive action based on insights. Self-Starter: Ability to take ownership of tasks, proactively seek solutions, and make decisions based on data and information. This role offers the opportunity to work in a dynamic, cross-functional environment, where you will contribute directly to the demand forecasting process, influence strategic decisions, and ensure optimal alignment across multiple stakeholders. Qualification : MBA in Supply Chain or Operations.

About the Team: The team is responsible for creating and delivering high-quality financial content derived from sell-side research. By leveraging advanced data extraction technologies combined with deep domain expertise, the team ensures efficient and accurate data collection. Collaboration, attention to detail, and a focus on continuous process improvement are key pillars of the team s success in delivering impactful insights to clients. The Impact: In this role, you will play a vital part in delivering accurate and timely financial insights that empower clients to make informed investment decisions. By maintaining the highest standards of data accuracy and reliability, you will directly enhance the credibility and usability of our consensus data, contributing to client satisfaction, business success, and S&P Global s reputation in the financial markets. What s in it for You: Develop expertise in understanding and interpreting sell-side models, strengthening your analytical and financial acumen. Gain hands-on experience with data extraction tools and methodologies. Collaborate with a global team and grow professionally through structured learning, mentoring, and cross-functional exposure. Key Responsibilities: Extract and prepare high-quality financial content from sell-side research reports using advanced data extraction tools and sector-specific expertise. Analyze business models across various publicly listed companies and highlight key modeling approaches used by analysts. Conduct thorough quality checks to ensure data accuracy and reliability. Collaborate closely with team members to continuously optimize data collection processes and enhance overall efficiency. Effectively communicate key insights and findings with internal stakeholders, contributing to process enhancements and knowledge sharing. What We re Looking For: Education: Graduate in B.Com (Hons/Pass), BBA, BBE, BBS/BMS, or BFIA. Candidates who have cleared CFA Level 1 are preferred. Experience: 0 to 1 year of relevant experience in financial data collection, analysis, or related fields. Technical and Domain Skills: Understanding of basic financial concepts, including recurring income, financial statements, and ratio analysis. Proficiency in Microsoft Excel and other data management tools. Familiarity with financial modeling concepts (though this is not a modeling role). Soft Skills: Strong analytical mindset and attention to detail. Excellent problem-solving and troubleshooting abilities. Effective communication skills to collaborate with diverse teams and stakeholders. A proactive attitude with a willingness to learn and adapt. Work Shift: Primary shift: Day shift. Candidates must be willing to work in rotational shifts (including night shifts) for 2-3 weeks per quarter, as required. Shift timings: 5:00 AM to 2:00 PM 12:00 PM to 9:00 PM 8:00 PM to 5:00 AM Additional Note: This is not an Equity Research or Financial Modeling role. You will not write research reports or build sell-side financial models. However, the role offers unique exposure to various business models, financial statements, and modeling approaches used by top analysts across industries and geographies. This hands-on learning experience offers valuable insights into global financial markets. About S&P Global Market Intelligence: At S&P Global Market Intelligence, we recognize the power of accurate, comprehensive, and timely information. As part of S&P Global, we deliver essential intelligence, combining deep data, advanced technology, and expert insights to help our clients expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit: www.spglobal.com/marketintelligence Our Purpose: At S&P Global, we accelerate progress by transforming data into Essential Intelligence , helping companies, governments, and individuals identify risks and unlock new possibilities. In a complex and evolving world, we empower decision-makers to plan confidently for tomorrow, today. Our People: With over 35,000 employees across the globe, we combine local insights with a global perspective. Our culture thrives on curiosity, discovery, and partnership, driving innovation and enabling sustainable progress. From sustainability solutions to analytics platforms, we are redefining how data empowers action. Our Values: Integrity Acting with honesty, transparency, and fairness. Discovery Curiosity and continuous learning fuel our innovation. Partnership Collaboration drives better outcomes for our customers and each other. Benefits: We invest in your well-being and career growth through: Comprehensive health and wellness programs. Flexible time-off policies to support work-life balance. Continuous learning opportunities through training programs and educational support. Financial security through competitive pay, retirement plans, and student loan contribution programs. Family-friendly perks, including benefits for partners and dependents. Additional perks such as retail discounts, referral bonuses, and more. Qualification : Graduate in B.Com (Hons/Pass), BBA, BBE, BBS/BMS, or BFIA

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree

Company Overview Mondel z International is a leading global snacking company with iconic brands like Oreo, Cadbury, and Toblerone. The company s mission is to lead the future of snacking, creating delicious moments of joy for people around the world. As part of Mondel z's dynamic Digital Solutions team, this role will offer an exciting opportunity to drive innovation through AI, data, and analytics. Role Overview As a Data Scientist within the Mondelez Digital Solutions team, you will play a critical role in developing cutting-edge AI and GenAI solutions that will empower the US Sales & Planning teams. This role focuses on leveraging Analytical AI algorithms and Large Language Models (LLMs) to create actionable insights and transform commercial reporting processes. You'll work closely with multiple teams to implement these solutions and continuously improve the reporting and decision-making capabilities of the organization. How You Will Contribute 1. AI and GenAI Model Development Design, develop, and deploy Analytical AI models (e.g., linear regression, decision trees, boosted trees models) to gather insights related to customers, brands, categories, and products. Implement anomaly detection algorithms (e.g., isolation forest) to identify anomalies in commercial data and alert teams about significant changes. Utilize Large Language Models (LLMs) to summarize the current business state and explain trends in the data, supporting the commercial reporting team. 2. Data Preparation and Utilization Oversee the extraction, preparation, and utilization of large datasets for model training and validation, ensuring the data is clean, accurate, and relevant for AI model development. Continuously update and refine the AI/GenAI solution with new data sources and features to enhance business insights. 3. Collaboration and Implementation Work closely with cross-functional teams to ensure smooth deployment of AI and GenAI capabilities into the company s commercial reporting dashboards. Collaborate with stakeholders to ensure the tools meet business requirements and deliver high-quality insights. 4. Reporting and Documentation Regularly report on the achievements and challenges of the AI tools to senior management and relevant stakeholders. Maintain detailed documentation of AI models, GenAI solutions, logic, and performance metrics, ensuring the business can leverage insights effectively. 5. Continuous Improvement and Innovation Stay up to date with the latest trends in AI and GenAI and integrate new advancements into the reporting system to improve its efficiency and effectiveness. What You Will Bring 1. Required Skills & Experience Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or related fields. Strong analytical and critical thinking skills with the ability to translate complex data into actionable business strategies. Proficiency in handling large datasets using Python and SQL. Strong knowledge of data visualization tools such as Tableau and Power BI. Experience with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions. Experience with data preprocessing, cleaning, and ETL processes. Familiarity with Natural Language Processing (NLP) techniques. Knowledge of recent advancements and trends in GenAI and a passion for continuous learning in this field. 2. Additional Skills (Good to Have) Working knowledge of syndicated data (e.g., Nielsen/IRI or other retail sales data sources). Proficiency in using data containerization and orchestration tools for maintaining complex data workflows. Experience with programming languages like PySpark and R. Experience in leveraging Large Language Models (LLMs) to build GenAI solutions or proofs-of-concept. Experience with frameworks like Langchain for building language applications. Relocation and Support Within-country relocation support is available. For candidates voluntarily moving internationally, minimal support is offered through the Volunteer International Transfer Policy. Qualification : Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.

Role Overview We are looking for a Senior Manager to lead the Spare Parts Supply Chain team. This role involves driving exceptional customer service, leading spare parts delivery, and optimizing supply chain strategies for improved efficiency. The position demands leadership in managing cross-functional relationships, focusing on customer engagement, improving operational performance, and overseeing inventory management. The ideal candidate will have a strong background in supply chain management with a focus on process improvement and team leadership. Key Responsibilities 1. Leadership and Team Management Lead and mentor the Customer Service and Order Planning teams to ensure efficient spare parts delivery. Foster a culture of collaboration, inclusivity, and continuous learning within the supply chain team. 2. Customer Engagement and Experience Drive the Customer Connect Calls Program to enhance customer engagement with Focus Accounts, Direct Customers, and Government Customers. Improve the Mean Time Between Failures (MTBF) model to increase forecast accuracy and coverage, thus reducing customer wait times and improving order fulfillment (SO Completeness). 3. Process Improvement and Optimization Leverage Performance and Process Improvement (PPI) methodologies to continually improve operational efficiency. Cultivate a culture of Root Cause Corrective Management (RCCM) for problem-solving and enhancing process performance. 4. Revenue Growth and Cross-functional Collaboration Partner with various service businesses to drive India Service Organic revenue growth. Collaborate with cross-functional teams including Sales, Marketing, Operations, Supply Chain, and Finance to implement strategies and meet Annual Operating Plan (AOP) goals. 5. Supply and Capacity Planning Develop and review mid-to-long-range capacity and supply plans, ensuring alignment with the monthly Sales, Inventory, and Operations Planning (SIOP) process. Establish and maintain strong relationships with suppliers and vendors to ensure on-time delivery of materials and services. 6. Performance Reporting and Analysis Facilitate weekly performance reporting on key metrics such as forecast accuracy, Days of Supply (DOS), inventory value, capacity utilization, sourcing savings, and PPI savings. Use data-driven insights to communicate and influence decisions within the team and with other departments. 7. Industry Trends and Innovation Stay updated with the latest industry trends and innovative strategies to implement effective supply chain solutions. 8. Ethical Standards and Compliance Ensure strict adherence to ethical business practices and regulatory compliance within all supply chain operations. Qualifications Experience: At least 8 years of experience in supply chain management, with a strong emphasis on process improvement, decision-making, and team management. Proven track record in managing and developing teams to consistently achieve outstanding results. Skills: Strong analytical and problem-solving skills with a data-driven approach to decision-making. Exceptional leadership, communication, and interpersonal skills for managing cross-functional relationships. Ability to thrive in a fast-paced, dynamic environment while managing multiple priorities. Extensive experience in inventory modeling, forecasting, and supply chain planning. Hands-on experience with Business Intelligence (BI) platforms (e.g., Power BI) is preferred. Ethical and Compliance Understanding: Strong commitment to ethical business practices and compliance with all regulatory standards. Key Attributes for Success Strong drive and ability to lead teams in a fast-paced and continuously evolving environment. Expertise in supply chain analytics, forecasting, and performance optimization. A strategic thinker with the ability to drive long-term improvements and achieve operational objectives.

Analyst Energy Deals Desk Location: Mumbai Employment Type: Full-time Role Summary The Analyst Energy Deals Desk is responsible for monitoring, reporting, and analyzing trading positions, P&L, and volumetric exposures for physical and derivative energy markets. This role ensures accurate trade economics, supports hedging decisions, and provides high-level commentary for management and trading teams. Key Responsibilities Position & P&L Reporting: Produce daily trading positions, management P&L, and volumetric exposure reports. Trade Lifecycle Management: Enter inception P&L for new strategies and maintain economics throughout the lifecycle; validate and justify strategy economics independently. Market Valuation: Apply daily forward curves for physical and derivative markets and explain their impact on trading P&L. Management Commentary: Prepare daily reports for the Board of Directors and traders, explaining P&L fluctuations due to market shifts or trade estimates. Exposure Analysis: Analyze Mark-to-Market (M2M) P&L and ensure all market price risks are captured and hedged appropriately. Data Integrity: Maintain full responsibility for the integrity of trading system data used in all reporting and analysis. Strategy Support: Assess implications of future physical deliveries and create ad-hoc reports to support hedging strategies. Knowledge, Skills & Abilities Education: MBA in Finance; an Engineering degree is highly desirable. Experience: 1 5 years of relevant work experience, preferably in energy trading or risk management. Technical Skills: Strong analytical skills and high proficiency in MS Excel and multiple trading systems. Communication: Excellent English communication skills to deliver precise market commentary. Attributes: Ability to work meticulously under pressure in a fast-paced trading environment. Qualification : MBA in Finance an Engineering degree is highly desirable

Job Title: SOC Manager Location: Mumbai Education: Graduate / Post-Graduate Experience: 14 18 years in IT Security / Information Security Certifications Required: CISSP or CISM About the Role We are seeking an experienced and dynamic SOC Manager to lead our Security Operations Center (SOC) and drive our cybersecurity defense strategy. The ideal candidate will have deep expertise in IT security, excellent leadership capabilities, and a proven track record of managing 24/7 SOC operations. In this critical role, you will be responsible for monitoring, detecting, responding to, and preventing cybersecurity threats across the organization. Key Responsibilities Leadership & Team Management: Lead, mentor, and manage the SOC team to ensure high performance and continuous development. Foster a high-performance culture, emphasizing ownership, accountability, and collaboration. Act as the primary escalation point for high-priority security incidents. SOC Operations: Oversee 24/7 security monitoring and real-time threat detection across the organization s infrastructure. Ensure smooth operations of SOC processes and consistent coverage of security monitoring tasks. Incident Management: Direct and coordinate all aspects of the incident response lifecycle identification, containment, investigation, remediation, and recovery. Ensure timely escalation and communication with executive leadership during major incidents. Security Tools & Technologies: Manage and optimize security tools and platforms including SIEM, PAM, firewalls, proxies, endpoint protection, etc. Ensure tools are properly configured and tuned for optimal threat detection and minimal false positives. Threat Intelligence & Analysis: Utilize threat intelligence feeds and platforms to proactively monitor emerging threats. Correlate threat intelligence with internal data to assess risk and recommend defensive strategies. Process Improvement & Automation: Drive continuous improvement and automation of SOC processes using SOAR and related tools. Enhance response efficiency through playbooks, automation scripts, and workflow optimization. Cross-Team Collaboration: Collaborate with IT, Application, and Network teams to ensure unified security efforts and seamless incident resolution. Act as a bridge between technical teams and business stakeholders. Reporting & Metrics: Define and report on key SOC performance metrics (KPIs) such as mean time to detect (MTTD) and mean time to respond (MTTR). Provide executive-level reporting on security incidents, trends, and the overall threat landscape. Compliance & Risk Management: Ensure SOC operations adhere to internal policies and external standards (e.g., ISO 27001, NIST, SEBI regulations). Support audits and compliance initiatives by providing evidence, reports, and expert insights. Security Posture Enhancement: Evaluate and recommend new technologies and methodologies to enhance detection and response capabilities. Contribute to the development and refinement of the organization s cybersecurity strategy. Training & Development: Lead SOC training initiatives to ensure analysts stay updated on the latest threats, tools, and best practices. Foster a learning environment with a focus on upskilling and career development. Key Skills & Competencies Leadership: Proven experience leading SOC or security teams in a fast-paced, mission-critical environment. Communication: Excellent verbal and written communication skills; ability to present to senior leadership and external stakeholders. Analytical Thinking: Strong problem-solving abilities; capable of analyzing complex security incidents and identifying root causes. Time Management: Exceptional organizational and prioritization skills; able to respond rapidly to high-impact incidents. Attention to Detail: Meticulous in investigation, documentation, and reporting. Mandatory Requirements 14 18 years of relevant experience in IT Security or Information Security CISSP or CISM certification (mandatory) Strong background in incident management, SOC tools, and regulatory compliance Hands-on experience in security monitoring, SIEM, SOAR, and threat hunting Be at the forefront of protecting a critical enterprise from evolving cyber threats Lead a talented team and shape the future of cybersecurity operations Exposure to a wide range of advanced tools and technologies Work in a culture that values innovation, accountability, and continuous learning Qualification : Graduate / Post-Graduate

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.