32923 Forecasting Jobs - Page 12

Education : Engineering/ Diploma Experience Required : 3-10 years Keywords: SCADA, SAS, MCR, T&C, Control Panel • Responsible and accountable for overall management testing, pre-commissioning and commissioning of ground mounted solar projects being executed at various sites locations in India as per the targets and timelines set by the Organization. • Supervise the testing of inverters, HT Switchgear at ICR, IDT, Equipment at MCR, Equipment at Switchyard, SAS, SCADA, and other electrical equipment on site. • Supervising & Ensuring Strong knowledge of solar plant equipment & Substation up to 220 kV / 400 kV erection, Testing, Commissioning & Fault detection and reporting of the same to appropriate authority for the rectification. • Supervising of SAS, Relay and Communication Protocol scheme, ensuring strong Knowledge of Plant Earthing schemes. • Responsible for forecasting Resource requirements for the planned and assigned work and preparation of daily work schedule and assigning the jobs to all the subcontractors with function wise job distribution. • Work closely with other engineers, technicians, and contractors to ensure that the project is delivered to the required quality standards. • Responsible to Analyze and assess the risk factors involved during the execution of work and report the same to Site lead. • Responsible to Constantly Monitor and Report the work progress to the Site Lead. • Responsible for preparing a daily report on the work progress and plan for next day schedule. • Responsible for managing and supervising the work of other engineers, technicians, and contractors on site. • Field documentation by compiling all relevant data for equipment before commissioning and ensuring the correctness for charging the equipment. • Responsible to maintain the best safety practices at site with zero accident and safe man-hours as per organizational targets • Responsible for Quality of construction and workmanship from all the contractors as per organizational targets. • Managing Testing vendors & Group of assigned engineers at site level for quality work execution as per the project schedule.

Urgently hiring for Supply Chain Management for a leading pharmaceutical company based in Mumbai. Position : Supply Chain & Business Development Location : Mumbai (Sion) Experience : Minimum 3 years in International Supply Chain (Formulations Pharma) Qualification: MBA / PG / Masters in a relevant field Key Responsibilities : Coordinate with international clients/subsidiaries and internal manufacturing & purchase teams. Ensure timely execution of end-market requirements and launch orders. Handle 80% core supply chain and 20% business development activities. Manage end-to-end supply chain PAN India. Prepare and present MIS reports and Excel-based dashboards. Report to Head of Department. Preference will be given to candidates from a pharmaceutical background. For more info on salary, JD, company, Contact on 7738038748 Regards, Andrea HR

Job Summary: We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS. You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team. Key Responsibilities: Predictive Modeling & Machine Learning Develop and deploy machine learning models for forecasting, optimization, and predictive analytics. Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment. Perform model validation, tuning, and performance monitoring. Deliver actionable insights from complex datasets to support strategic decision-making. Data Engineering & Cloud Computing Design scalable and secure ETL pipelines using AWS Glue. Manage and optimize data infrastructure in the AWS environment. Ensure high data integrity and availability across the pipeline. Integrate AWS services to support the end-to-end machine learning lifecycle. Python Programming Write efficient, reusable Python code for data processing and model development. Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch. Maintain documentation and ensure best coding practices. Collaboration & Communication Work with engineering, analytics, and business teams to understand and solve business challenges. Present complex models and insights to both technical and non-technical stakeholders. Participate in sprint planning, stand-ups, and reviews in an Agile setup. Preferred Experience (Nice to Have): Experience with applications in the utility industry (e.g., demand forecasting, asset optimization). Exposure to Generative AI technologies. Familiarity with geospatial data and GIS tools for predictive analytics. Qualifications: Master’s in Computer Science, Statistics, Mathematics, or a related field. 5+ years of relevant experience in data science, predictive modeling, and machine learning. Experience working in cloud-based data science environments (AWS preferred).

Job Summary: We are a fast-growing e-commerce brand selling mobile accessories, primarily on Amazon, with over 1000 SKUs. We are looking for an experienced and detail-oriented Amazon Specialist who can manage advertising campaigns, plan inventory, and optimize listings to increase organic ranking and sales. This is a full-time, hands-on role that requires expertise in Amazon Seller Central, PPC campaigns, inventory forecasting, listing optimization, and Amazon AM coordination. Key Responsibilities: 1. Amazon Advertising (PPC) Management Manage and optimize Sponsored Products, Sponsored Brands campaigns. Handle many campaigns with 500+ ad groups efficiently. Analyze search term, placement, and campaign performance reports to improve ACOS and TACOS. Implement bid adjustments, keyword optimisation, and negative keywords to reduce wasted ad spend. Coordinate with the design team for engaging banner images and product videos for ad creatives. 2. Inventory Planning & Stock Management Monitor inventory health across 1000+ SKUs to avoid stockouts and excess inventory. Analyze sales trends and forecast demand to recommend purchase orders to the management. Coordinate inbound shipments to Amazon Fulfilment Centers (FBA) on time. Flag slow-moving inventory and suggest clearance or bundling strategies. Coordinate and plan inventory sending and shipment creation with Amazon Account Manager (AM). 3. Listing Creation & Optimizations Verify product listings on Amazon with complete and accurate details. Optimize titles, bullet points, descriptions, keywords, and backend search terms for higher organic ranking. Use keyword research tools for SEO optimization. Coordinate with the design team for high-quality images, A+ Content, product videos, and enhanced brand creatives. Continuously monitor competitor listings and implement improvements. 4. Amazon Account Manager Coordination Work with Amazon AM to plan and run monthly deals, especially for slow-moving SKUs. Discuss and execute promotional strategies for better sales performance. 5. Reporting & Analysis Prepare weekly and monthly performance reports for campaigns, inventory, and sales. Provide actionable insights to improve ad efficiency and inventory turnover. Maintain organized data tracking for SKUs, campaigns, and sales history. Required Skills & Qualifications: Experience: Minimum 2 years in Amazon PPC, inventory management, and listing optimization. Amazon Expertise: Strong knowledge of Seller Central, PPC campaign types, FBA processes, and listing creation. Inventory Skills: Ability to analyse Amazon restock reports, forecast demand, and track inbound shipments. SEO Knowledge: Expertise in keyword research and on-page optimisation to improve organic ranking. Creative Coordination: Experience working with design teams to create compelling ad creatives and product videos. Amazon AM Coordination: Ability to work directly with Amazon account managers to run deals and optimise sales. Analytical Skills: Strong Excel/Google Sheets skills (pivot tables, VLOOKUP, data filtering). Tools: Familiarity with Helium 10, Jungle Scout, SellerApp, or similar tools. Soft Skills: Detail-oriented with a proactive approach. Strong time management and organizational skills. Good communication skills to coordinate with Amazon AMs. Ability to work independently with minimal supervision. Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹40,000.00 per month Benefits: Flexible schedule Ability to commute/relocate: Nagarbhavi, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your Current Salary? Education: Diploma (Required) Work Location: In person

Core Technical Expertise 6+ years in Business Intelligence/Analytics, with 3–4 years hands-on SAC work. Deep experience in SAC Reporting, Dashboarding, Planning & Predictive Analytics. Strong SAC Data Modelling skills (live & import connections). Integration knowledge with SAP S/4HANA, BW/4HANA, SAP Datasphere, and possibly HANA DB. Proficiency in data wrangling, Advanced Formulas scripting, and story design best practices. Solid grasp of HANA modeling concepts and SQL (preferred but not mandatory). Functional & Business Skills Understanding of financial planning, budgeting, and forecasting processes. Ability to translate business requirements into effective SAC solutions. Knowledge of SAC predictive features & ML integration is a plus. Soft Skills Strong communication to work with both business & technical teams. Problem-solving skills in agile, fast-paced environments. Capable of training end-users and preparing documentation. Education & Certification Bachelor’s/Master’s in Computer Science, IT, or related field. SAP SAC certification preferred. Ideal Candidate Type Experienced SAP BI professional who has evolved into SAC expertise. Can independently design, develop, implement, and optimize SAC solutions. Has prior exposure to large-scale SAP landscapes and multi-system integrations. Skills: sap,analytics,cloud,data modeling,hana,scripting,,data wrangling,dashboard

We are looking for an experienced Scrum Master with a strong background in leading Agile teams within AI-driven projects , and deep domain knowledge in BFSI (Banking, Financial Services, and Insurance) —especially Wealth and Asset Management and broader Finance operations. Key Responsibilities: Lead and facilitate Scrum ceremonies : sprint planning, daily stand-ups, sprint reviews, retrospectives, and backlog grooming. Guide Agile teams working on AI/ML model development, data platform integration , and automation initiatives in finance. Act as a bridge between technical teams (engineers, architects, data scientists) and business stakeholders to maintain alignment. Track team performance and delivery timelines through JIRA, Azure DevOps , or similar tools. Identify and remove project impediments, resolve conflicts, and coach the team on Agile best practices. Collaborate with the Product Owner to ensure backlog items are well defined and prioritized based on value delivery. Facilitate PI planning, sprint metrics tracking , and delivery forecasting in a SAFe or hybrid Agile environment . Required Qualifications: 7+ years of total experience , including 5+ years as a Scrum Master in Agile/Scrum environments. Proven experience managing AI/ML-related projects involving model training, validation, and deployment. Strong domain knowledge of BFSI , especially Wealth and Asset Management , Retail Banking , or Investment Platforms . Hands-on experience working with cross-functional Agile teams , preferably in product-based or financial enterprise environments. Strong knowledge of Agile frameworks (Scrum, SAFe), Agile metrics, and Agile maturity assessments. Experience with tools like JIRA, Confluence, Azure DevOps , or similar. Solid technical understanding of AI workflows, data platforms, APIs , and cloud-based environments (AWS, GCP, or Azure) . Excellent communication and stakeholder management skills. Scrum Master Certification ( CSM, PSM I/II ) preferred. Prior experience in AI risk, governance, or model compliance is a strong plus. Preferred Skills: Experience supporting multiple agile squads across geographies. Strong familiarity with regulatory environments (e.g., SEC, FINRA, GDPR) as applied to AI/ML projects. Experience working with data teams , including MLOps or analytics teams in BFSI contexts.

Skill required: Record To Report - Balance Sheet Account Reconciliations Designation: Record to Report Ops Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions. Posting journal entries, preparing balance sheet reconciliations, reviewing entries and reconciliations, preparing cash forecasting statement, supporting month end closing, preparing reports and supports in audits. Involves balancing all balance sheet accounts against sub-ledger or other non-general ledger based source data to verify whether the balance sheet accounts are in balance with the source system feeding the general ledger. Differences which arise are addressed as reconciling items. What are we looking for? Confident and holds strong accounting knowledge Microsoft Excel Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts, Any Graduation

Skill required: Record To Report - Balance Sheet Account Reconciliations Designation: Record to Report Ops Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions. Posting journal entries, preparing balance sheet reconciliations, reviewing entries and reconciliations, preparing cash forecasting statement, supporting month end closing, preparing reports and supports in audits. Involves balancing all balance sheet accounts against sub-ledger or other non-general ledger based source data to verify whether the balance sheet accounts are in balance with the source system feeding the general ledger. Differences which arise are addressed as reconciling items. What are we looking for? Confident and holds strong accounting knowledge Microsoft Excel Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts, Any Graduation

Skill required: Record To Report - Balance Sheet Account Reconciliations Designation: Record to Report Ops Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions. Posting journal entries, preparing balance sheet reconciliations, reviewing entries and reconciliations, preparing cash forecasting statement, supporting month end closing, preparing reports and supports in audits. Involves balancing all balance sheet accounts against sub-ledger or other non-general ledger based source data to verify whether the balance sheet accounts are in balance with the source system feeding the general ledger. Differences which arise are addressed as reconciling items. What are we looking for? Confident and holds strong accounting knowledge Microsoft Excel Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts, Any Graduation

Job Description Key Deliverables Financial Planning and Budgeting: o Develop and design effective budget models for departments and the entire company. o Prepare and manage budgets, ensuring alignment with organizational goals. o Contribute to the financial planning and forecasting process of the unit. Financial Reporting: o Submit accurate Quarterly, Half-yearly, and Annual Financials, Annual Budget, and other pre-defined reports. o Present annual budgets to senior managers for review and approval. o Monitor and report on the financial performance of the unit. Financial Analysis: o Provide timely and accurate analysis of budgets and financial reports to senior management. o Report on internal financial controls for enhanced fraud risk management. Others: o Provide support in matters of audit and other adhoc requirements. Group Human Resources- RJ Corp Page 2 of 2 Role Requirements Qualification: CA/ MBA Finance/ CMA Experience: 2-6 years of overall experience in the accounting function (preferably in FMCG set up) With atleast 1 year in MIS preparation with manufacturing unit Budgeting, Budgetary control, Budget preparation, Management action and cost control, Master budget, Price and quantity variance, Responsibility centres, Zero-based budgeting. Experience on SAP is must. Knowledge on GAAP Fundamental or general understanding of concepts Desired Skills: Analytics and business reporting Financial acumen, towards understanding business performance and budgets Advanced proficiency in Microsoft Excel

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role Name And Description Tax Senior - To sum up, the Senior role provides a unique opportunity for tax professionals to pursue their career in leading, working and managing end-to-end process of tax lifecycle for large global corporate clients, which helps them to shape their career to be all round tax professional. The opportunity When you join EY GCR team, you will be at the heart of EYs critical mission to build a better working world by applying knowledge skills and experience in assisting clients in meeting their business Purpose Your Key Responsibilities Develop brief understanding of the client’s activities and compliances related to Canadian tax and tax accounting matters and make sure they are properly addressed. Global direct tax compliance – Assist in preparation of income tax returns such as T2, T1, T3 and T5013 along with other allied forms and workpapers for Canada jurisdictional income taxes with internal teams. Income Tax Provision – Prepare quarterly and annual tax provision for Canadian Compliance purposes. Work with EY country teams for sign-off and delivery to client. Forecasting – Prepare, review and manage taxes forecast and report to client and consult with EY country teams, where necessary. Tax Payments – Prepare and review estimated the tax payments and manage tax payment process. Tax account reconciliation – Prepare and review Tax account reconciliation, collect supporting documents and work with clients on reconciling items. Prepare and book rectification journal entries, where needed. Other Tax functions – Prepare and review other taxes entry package, return to provision entries, etc., and submit for review for client’s approval. Skills And Attributes For Success Ability to work and plan effectively with minimal direction in ambiguous situations Strong interpersonal skills with a focus on building high functioning teams Able to articulate/position complex/critical challenges, issues, etc. The ability to priorities when working on multiple complex projects Strong influencing skills, and the confidence to question existing processes Contributing to a positive team environment by demonstrating consistent commitment and optimism towards work challenges To qualify for the role, you must have Bachelor’s / Master’s degree in accounting / MBA Finance Three to five years of experience in Canadian tax compliance, good knowledge and experience in income tax accounting, including a mixture of Big 4 and industry experience. Strong accounting skills with an interest to learn Canada and Non-Canada direct tax compliance. Strong communication skills, Strong computer skills, including an intermediate knowledge of Excel, Word and PowerPoint Ideally, you’ll also have Awareness of other taxes in the Canada Ability to read, interpret and apply the tax legislation What We Look For We are looking for experienced tax professionals with genuine interest in providing outstanding services to some of the world’s most influential people. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Job Summary We are seeking an experienced Machine Learning Engineer to design, build, and deploy production-grade models for demand forecasting, customer churn prediction, and inventory optimization. You'll work with large-scale transactional data (e.g., orders, customer behavior) to create robust systems that predict rental demand, identify at-risk customers, and manage inventory efficiently, including handling returns and refurbishments. This role is ideal for someone passionate about e-commerce/retail analytics and proficient in Python-based ML workflows. Key Responsibilities Demand Prediction: Develop and implement time-series forecasting models (e.g., using Prophet, ARIMA, or LSTM) to predict rental demand by product (SKU), category, and city. Incorporate features like seasonality, holidays, promotions, and external factors (e.g., weather, economic indicators) to achieve high accuracy. Churn Prediction: Build classification models (e.g., XGBoost, Random Forests) to predict customer churn based on subscription history, order patterns, and behavioral features. Use outputs to inform retention strategies and integrate with inventory models (e.g., estimating returns from churned users). Inventory Management: Design optimization models (e.g., using PuLP or linear programming) to manage stock levels, reorder points, and refurbishment cycles, leveraging demand and churn forecasts to minimize stockouts and overstock costs. End-to-End ML Pipeline: Create data pipelines (ETL) for ingesting and preprocessing order data (e.g., from CSV sources with timestamps, SKUs, cities). Feature engineering: Generate 50-100+ features like lagged orders, customer tenure, day-of-week effects, and holiday flags. Model Deployment & Monitoring: Deploy models as APIs (e.g., using FastAPI, Docker, Kubernetes) for real-time predictions. Implement monitoring for model drift and retraining workflows. Conduct A/B testing and evaluate models using metrics like RMSE (for demand), AUC-ROC (for churn), and cost savings (for inventory). Scalability & Experimentation: Optimize models for large datasets (e.g., millions of orders) using cloud platforms (AWS/GCP). Experiment with advanced techniques like reinforcement learning for dynamic pricing tie-ins. Required Qualifications Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Experience: 3-5+ years as an ML Engineer or similar role, with hands-on experience in retail/e-commerce analytics (e.g., demand forecasting, churn, inventory). Technical Skills: Proficiency in Python (pandas, NumPy, scikit-learn) and ML libraries (Prophet, XGBoost, TensorFlow/PyTorch). Time-series forecasting (ARIMA, Prophet) and optimization tools (PuLP, SciPy). Data pipelines (Airflow, Spark) and deployment (Docker, Kubernetes, AWS SageMaker). SQL for data querying and cloud computing (AWS/GCP/Azure). Soft Skills: Strong problem-solving, ability to work in a small team, and experience with Agile/Scrum methodologies. Domain Knowledge: Familiarity with subscription/rental models (e.g., handling returns, refurbishments) in e-commerce. Preferred Qualifications Experience with reinforcement learning or advanced optimization for dynamic pricing. Knowledge of big data tools (e.g., Hadoop, Spark) for scaling models. Publications or projects in retail predictive analytics Familiarity with RentoMojo-like platforms or the Indian e-commerce market. Skills: data tools,python,demand forecasting,inventory optimization,model deployment,sql,data pipelines

Senior Financial Analyst – Finance Team About Us: Founded in 2014, Vedantu emerged as a visionary in the ed-tech space, pioneering the shift towards online education in India. Our name, derived from 'Veda' (knowledge) and 'Tantu' (network), reflects our mission: to create a vast network of knowledge accessible to all. We embarked on a journey to transform the educational landscape, leveraging technology to make quality education available, affordable, and personalized. 🌐 Our Online Legacy: Over the years, Vedantu has established itself as a leader in live online tutoring. We connect India's top teachers with students across the nation in a LIVE interactive e-classroom. Our platform, powered by innovative technology, includes features like a 2-way interactive whiteboard, live audio, and video feeds, ensuring a highly engaging and effective learning experience. We pride ourselves on offering personalized education, adapting to the unique needs and learning pace of each student. 🏫 Expanding to Offline Centers: With 18 years of experience of founders across Online and Offline, Vedantu has extended its educational prowess to offline learning by establishing centers in over 20 cities. These centers embody our commitment to making quality education accessible to every student combining the best of online and offline. Equipped with state-of-the-art technology and fostering the same caliber of interactive and personalized learning as our online platforms, these centers provide students with the best of both worlds. 🔍 Our Mission and Vision: Our vision at Vedantu is to inspire students globally to discover their true potential, creating #ImpactAtScale. Our mission is to provide transformative learning experiences that inspire every student, breaking down all barriers to education, ensuring accessibility anytime, anywhere. We are committed to #CreateVOW Experiences, fostering an environment where students feel loved, inspired, and cared for. Our focus is on delivering measurable and significant #Outcomes for each learner. Whether it's online or offline, our goal is to surpass conventional learning methods, offering top-notch education that empowers every child to achieve their fullest potential, regardless of their circumstances. Read more: vedantu.com/culture 📈 Looking Ahead: As we continue to grow and evolve, Vedantu remains dedicated to innovating and expanding our educational offerings. Our journey from an online pioneer in 2014 to a hybrid model with a strong offline presence marks just the beginning of our endeavor to redefine education in India and beyond. Senior Financial Analyst – Finance Team Location: HSR Layout, Bengaluru Working Days: 6 Days (Monday to Saturday) About the Role: We are looking for a Senior Financial Analyst who brings deep analytical skills, financial rigor, and business acumen to support strategic decision-making across Vedantu’s fast-evolving business (both online and offline). The role is integral in driving financial visibility, forecasting, planning, and performance tracking. Key Responsibilities 1. MIS & Dashboarding ● Build and automate detailed MIS reports for tracking financial and operational KPIs. ● Create interactive dashboards using Excel, Google Sheets, Power BI, or Tableau for real-time decision-making. 2. P&L Management & Variance Analysis ● Conduct in-depth variance analysis for actual vs. budget/forecast. ● Drive insights from monthly P&L reviews, identifying profitability drivers and cost trends. 3. Month-End Book Closures ● Support monthly closures, including journal entries, reconciliations, and accruals. ● Liaise with accounting for accurate financial reporting and compliance. 4. Financial Planning & Decision Support ● Partner with business functions to build budgets, forecasts, and strategic plans. ● Create models to support cost optimization, revenue growth, and new initiatives. 5. Cross-functional Collaboration ● Act as a Finance Business Partner to vertical heads, operations, and product teams. ● Drive alignment on key metrics, forecasts, and financial decisions across departments. Basic Qualifications : ● Bachelor's degree in Finance, Accounting, Commerce, or related field (CA Inter/MBA preferred). ● 4+ years of experience in financial analysis, FP&A, or management reporting. ● Advanced proficiency in MS Excel / Google Sheets; knowledge of BI tools (Power BI, Tableau) is a plus. ● Strong knowledge of accounting principles, P&L management, and month-end processes. ● Excellent analytical and communication skills with a strong attention to detail. ● Ability to work in a dynamic, fast-paced environment and manage multiple priorities

Location Name: Gwalior Job Purpose To ensure better controllership and DMScollection efficiency and driving the teams to meet the targets along with keeping the motivation high and controlling the attrition To ensure the processes and policies are adhered to in the field Duties And Responsibilities PRINCIPAL ACCOUNTABILITIES (Accountabilities associated with the job) Managing area level allocations, portfolio, resolutions, revenue & capacity matrix Tracks daily movement of numbers in accordance with DRR and meeting the area level target Monitors target vs achievement, reviews with the RO's regular intervals Conducts regular discussions with RO's on field affairs and guiding them for the priorities and using the collection tools as per the requirements Focus on revenue by driving the penal penetration and penal collection by monitoring the performance drivers periodically Training the DCAs - partner field force /FOS on product and field management to address the continuous volume management Appointing the partners and DCAs on the basis of agreed ACR and capacity metrics and cross verifying the field executive’s deployment and productivity Report data lead field feedback and market updates to risk. Sampling and scrutinizes suspicious customer activities – brokers or documentation for Identifying fraud, initiates legal action through RCU Coordinates with inter departments issues and get the solutions within TAT Plan, monitor and encourage the vendor performance by using motivational non-monetary tools Evaluate team’s weakness and strength and translates the performance to an aspirational level Conducts monthly reviews of collection performance; discusses with ACMs / RO's previous and current months numbers; Plans for final numbers Meets, assesses new agencies DCAs, SMAs, and recommends for hiring after taking in RO views; considers growth of business with existing agencies, DCAs, SMAs, recommends accordingly; recommends termination of contracts of existing agencies, DCAs, SMAs after discussing with RO's, and after providing them adequate opportunity to improve; coordinates with legal and other teams, and with RO's, to ensure agency-related changes are made smoothly Based on future volumes forecasting at the location level, pre-planning of agency business plan Bridging the gap between revenue and cost of collection to make collection unit will be profit center at regional level Shortlists candidates to consider for RO roles; Meets, assesses candidates for open RO positions, recommends for hiring Meets and listens to RO's to understand their challenges and issues - addresses them and escalates other issues as relevant, keeping manager informed of key developments; sets up communication channels to reduce inter-team grievances Builds and maintains relations with peers in Sales & other teams coordinated with; Stays aware of their challenges and conveys own to them Grooming team members to take over the future roles Ensuring engagements with team members at regular intervals and keeping the team highly motivated MAJOR CHALLENGES (Challenges faced on an on-going basis in carrying out the job) Manpower attrition (on roll & off roll) Required Qualifications And Experience SKILLS AND KNOWLEDGE (Minimum acceptable proficiency for this job which best indicates the education and/or experience requirements of this job and not the incumbent) Educational Qualifications Qualifications – Graduate / MBA Work Experience – 3 to 5 years

Location Name: Bhopal Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose.This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc.Culture Anchor:Work Hard - Consistently puts in effort. plans and tracks daily progress to achieve targetsExecute with Rigor - Takes responsibility for meeting targets with focus and effortOwn It - Maintains honesty and fairness in all interactions in line with organization’s policiesAct with Integrity Duties And Responsibilities Build Stress Testing Framework and execute the sameDevelop, validate, and execute Stress Testing Tools and Stress Testing EngineBuild, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businessesSupport any adhoc deep dive data analysis on portfolio metrices Support in Data analysis and segmentations.Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Required Qualifications And Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science)Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages: SAS, SQL, R, Python. Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Location Name: Pune Corporate Office - Fountainhead Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose.This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc.Culture Anchor:Think like an Entrepreneur - Encourages new ideas, helps teams improve, and supports them in taking up challengesPractice Emotional Intelligence - Listens to others, stays calm under pressure, and treats everyone with respect.Transform Continuously - Explores opportunities and encourages teams to improve processes and systems for better delivery.Own it - Ensures teams achieve targets, drives capability building and inculcates a sense of accountability in the team. Duties And Responsibilities Build Stress Testing Framework and execute the sameDevelop, validate, and execute Stress Testing Tools and Stress Testing EngineBuild, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businessesSupport any adhoc deep dive data analysis on portfolio metrices Support in Data analysis and segmentations.Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Required Qualifications And Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science)Work Experience 6-8 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages: SAS, SQL, R, Python. Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Location Name: Pune Corporate Office - HO Job Purpose “This position is open with Bajaj Finance ltd.”Culture Anchor:Have high ambitions - Inspires the team to aim for higher targets and supports in achieving themOwn It - Acknowledges uncertainty and makes changes in own decisions/ actions for better outcomes Duties And Responsibilities Productivity Analysis and management-Set Benchmarks for productivity-Measure productivity-Identify Lapses-Suggest and Implement productivity improvement measures?Training Management on process and product-Understand Training requirements of the sales team-Measure pre and post training scores-Communicate training effectiveness?Product development and Launch-Understand current product mix-Set benchmarks on ideal product mix-Launch products keeping market requirements in mind-Understand of customer profile across segments and manufacture right products for the right customer-Design and implement product-Study competition products, benchmarking and evaluate the effectiveness of products?Business planning-Break down business numbers channel wise and location wise-Understand business forecasting model and refine the same from time to time as per requirements.-Measure channel wise employee wise target achievements-Calculate and process incentives for the team?Contest Design and Launch-Identify need for contests-Design and launch channel wise contests on a regular basis-Understand impact of contest and other sales promotion activities on business numbers-Calculate eligibility, communicate results and distribute contest awards?Effectively engage with cross functional teams (Operations, Risk, HR, IT, BALIC etc) to understand and contribute to overall processes across locations?Database management-Understand Data requirements for Different channels-Manage data download & Measure data efficiency-Understand and make efficient use of CRM Required Qualifications And Experience Practice Emotional Intelligence - Develops the team, supporting them to do moreListens to others, stays calm under pressure, and treats everyone with respect.

Head of Sales - Human Insights AI Platform (Global & India Sales) About Entropik Entropik is a leading human insights AI company that enables organizations across the globe to measure, analyze, and optimize customer experience (CX), user experience (UX), and market research (MR) in real-time. We offer a suite of patented Emotion AI technologies integrated into our Unified Insights Platform, helping companies make faster, efficient, and bias-free decisions with real human insights. Our products serve Fortune 500 brands including Amazon, Disney, P&G, Walmart, KFC, and Intel, transforming how organizations understand consumer behavior through cutting-edge emotion AI, eye tracking, and behavioral analytics. Role Overview The Head of Sales will drive revenue growth and execute robust sales strategies across global and India markets, for our AI-powered research and insights products. You will lead a high-performing sales team, and establish Entropik as the preferred partner for research teams, insights professionals, and marketing organizations seeking to transform their consumer understanding capabilities. Key Responsibilities Define and implement comprehensive sales strategies for Entropik's product portfolio: Insights Hub (research repository + AI copilot), Decode (consumer insights platform), Qatalyst (user research platform), and Focus (predictive creative AI) Participate directly in strategic enterprise deals and complex negotiations Drive pipeline development through both outbound prospecting and inbound lead conversion, targeting key buyer personas including Chief Insights Officers, Research Operations Managers, Head of Consumer Insights, UX Research Leaders, and Brand Marketing Directors Own revenue targets and growth metrics across North America, APAC and India markets Lead and scale a sales team of 8-12 professionals across multiple geographies. Own pricing strategies for both platform subscriptions and professional services offerings Establish rigorous sales operations including pipeline reviews, deal coaching, forecasting and performance management. Build relationships with industry influencers, research associations, and key enterprise accounts Track and optimize key metrics: sales cycle duration, conversion rates, average deal size, customer acquisition cost and pipeline velocity. Work closely with Product, Marketing, Professional Services and Customer Success teams and provide market feedback to stay abreast of product positioning strategies. Requirements 10+ years of B2B enterprise sales experience with at least 5 years leading sales teams of 5+ people, preferably in SaaS or analytics technology. Proven success selling research, insights, or analytics solutions to North American and APAC markets, familiar with buyer personas like Chief Insights Officers and Research Ops Managers. Expertise in complex, multi-stakeholder sales cycles (6-18 months) with a track record of exceeding revenue targets in fast-growing tech companies. Strong understanding of research and insights industry workflows, methodologies, and technology platforms. Proficient with CRM tools (Zoho, Salesforce, HubSpot), sales forecasting, pipeline management, and subscription revenue optimization. Excellent communicator and leader, able to engage C-level executives and collaborate cross-functionally while building trusted client relationships. What We Offer Competitive compensation package including base salary, performance-based incentives, and equity participation International growth opportunity - lead Global and India sales across multiple high-growth markets Cutting-edge technology platform - sell innovative AI-powered insights solutions to leading global brands Success Metrics Revenue Growth: Achieve annual recurring revenue targets with consistent year-over-year growth Team Performance: Build and manage high-performing sales team with consistent quota attainment Market Expansion: Successfully penetrate target industries and establish Entropik as insights technology leader Customer Success: Maintain high customer satisfaction scores and strong renewal rates Operational Excellence: Implement scalable sales processes and accurate forecasting capabilities

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: Resource Management Team Job Summary: We are seeking a highly skilled and experienced individual to join our Resource Management Team at a Senior Associate position. As a key member of the team, you will play a critical role in optimizing resource utilization, ensuring efficient project staffing, and supporting resource planning initiatives. This position offers an excellent opportunity to contribute your expertise in resource management and make a significant impact within our organization. Responsibilities: Collaborate with stakeholders to gather project requirements, assess resource needs, and develop comprehensive resource plans. Analyze resource availability, skill sets, and capacity to support project demands, ensuring the appropriate allocation of resources. Assist in developing resource management strategies, including forecasting future resource requirements, identifying potential bottlenecks, and proposing mitigation plans. Monitor and track resource allocations, utilization, and availability using resource management tools and systems. Work closely with project managers and team leads to ensure timely and accurate project staffing, addressing any conflicts or constraints. Proactively identify and address resource allocation conflicts or gaps, collaborating with stakeholders to find suitable resolutions. Provide guidance and support to Level 1 team members, assisting them in resource allocation activities and fostering their professional development. Contribute to continuous improvement efforts by identifying process enhancements, implementing best practices, and streamlining resource management workflows. Prepare regular reports and dashboards to provide insights on resource utilization, capacity, and performance metrics to stakeholders and senior management. Stay updated on industry trends, emerging technologies, and resource management practices, sharing knowledge and insights with the team. Requirements: Bachelor's degree in Business Administration, Project Management, or a related field. Relevant certifications in resource management or project management are a plus. Proven experience in resource management or related roles, preferably within a complex organizational setting. Strong analytical and problem-solving skills, with the ability to assess complex resource requirements and make data-driven decisions. Excellent interpersonal and communication skills, with the ability to collaborate effectively with stakeholders at all levels. Proficient in using resource management tools and software to track and manage resource allocation and utilization. Advanced proficiency in Microsoft Excel, including the ability to analyze and present data in a clear and concise manner. Strong organizational and time management abilities, with the capacity to prioritize tasks and meet deadlines in a fast-paced environment. Leadership qualities with the ability to mentor and guide junior team members effectively. Proactive attitude, adaptability to change, and a continuous improvement mindset. Knowledge of project management methodologies and frameworks is desirable. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Location Name: Bilaspur Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose.This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc.Culture Anchor:Work Hard - Consistently puts in effort. plans and tracks daily progress to achieve targetsExecute with Rigor - Takes responsibility for meeting targets with focus and effortOwn It - Maintains honesty and fairness in all interactions in line with organization’s policiesAct with Integrity Duties And Responsibilities Build Stress Testing Framework and execute the sameDevelop, validate, and execute Stress Testing Tools and Stress Testing EngineBuild, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businessesSupport any adhoc deep dive data analysis on portfolio metrices Support in Data analysis and segmentations.Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Required Qualifications And Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science)Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages: SAS, SQL, R, Python. Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Overview The purpose of this role is to lead and coordinate the forecasting analyst team for a specific BU to generate a sound driver-based forecast as starting point for the Demand Planning process within IBP by ensuring the right data is available for the IBP forecasting engine (PFE), executing the models that generate the forecast. The forecasting analyst roles will collaborate day to day with the Demand Planners to ensure the forecast is as per business needs and with the Data Scientists to continuously improve the forecasting engine and the data to improve the forecast accuracy. The forecasting analyst will work both on Mid-Term (monthly / 24 months) and Short-Term (weekly / 16-20 weeks) depending on the scope assigned within a BU Responsibilities Critical role in ownership, execution and improvement of the Driver Based Forecast Lead and coordinate the the team of forecasting analysts working for a specific BU while being directly responsible for part of the scope Be the main point of contact for BU Demand Planning Leads and Data Scientist working for that specific BU For Short-Term, Mid-Term and Demand Sensing Forecasting Models and all the required demand streams in the BU: Ensure all demand drivers are being captured in the driver-based forecast Reconcile data inputs to confirm that all volume driver data is complete and there are no gaps Ensure all the Master Data needed to activate, deactivate, substitute DFUs in the Demand Planning systems and all associated lifecycles management activities at the different levels of the hierarchy are consistently executed. Manage the overall/ massive master data management. Ensure history corrections, outliers corrections and realignments needed to run the models are executed properly and manage events that apply to all BU and history realignments Ensure models run correctly and the output is complete and consistent Perform small adjustments in the forecasting engine parameters / data inputs to capture demand trends or patterns that are not well reflected based on own findings or feedback from the Demand Planners Measure and Report Forecasting KPIs Drive overall Forecast Continuous Improvements and Root Cause Analysis with the Demand Planners and perform the analysis on the modelling. Identify improvement areas and recommended actions Collaborate with Demand Planners and Data Scientists to define an implement an improvement backlog on the models Support Data Science in the Experimentation, test and evaluation of the improvements and its validation with the Demand Planners before its implementation Drive segmentation calculations and review and validate with the demand planners for its implementation Leverage and share best practice which will impact on the wider PepsiCo ecosystem ensuring the best for PepsiCo and therefore enabling its Better, Stronger and Faster ambitions Qualifications Holder of both a Bachelor's and Master' degree (preferably with studies in Business Administration, Engineering, Supply Chain, Finance). Having an MBA is a plus. Experience in generating accurate demand statistical forecast and in advanced forecasting models including Machine Learning algorithms at fast moving consumer goods including a collaborative planning, demand sensing, promotions planning, new product introduction planning, demand shaping and demand scenarios management Proficiency in Data Analysis and Insights. Ability to navigate across large amounts of data, understand the gaps, identify exception and extract insights to form conclusions and inform decisions, with strong analytical skills. High level of understanding on commercial activities and how they driver demand in FMCG and strong understanding of the demand planning and forecasting processes Ability to process and resolve complex issues, establish priorities and action plans 8-10 over all years experience with 6+ years in Demand planning or forecasting Experience at a middle level in the FMCG industry is a plus Experience in managing and organizing teams Collaborative and team player Strong in both strategic and analytical thinking Strong in organizational skills and attention to detail Good business acumen with results orientation Ability to generate consensus via strong network & collaborations skills Fluent in English with Local Language (for Mus assigned - is a plus) Strong understanding of the IBP processes, demand planning and forecasting. Comfortable with process discipline and process adherence, but also able to identify and take opportunities to further develop and strengthen the process without compromising the end state

Oliver Wyman is seeking candidates for the following position based in the Pune/Mumbai/ Gurgaon office: We are seeking an experienced Data Scientist to collaborate with cross-functional stakeholders and translate strategic business goals into impactful data science solutions. The ideal candidate will analyze complex datasets, build scalable machine learning models, and develop automated data pipelines to drive data-driven decision-making across the organization. This role requires strong technical expertise, business acumen, and the ability to work within enterprise environments adhering to data governance, security, and compliance standards. Key Responsibilities: Partner with business groups and technology teams to understand strategic objectives and translate them into actionable data science projects aligned with enterprise goals. Analyze large volumes of structured and unstructured data to extract insights, assess data quality, and perform advanced data wrangling and feature engineering. Design, develop, and implement efficient, scalable, and maintainable code for data manipulation and machine learning model development using Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R. Develop and maintain automated ETL pipelines leveraging cloud-based platforms such as Databricks, AWS S3, Athena, Glue, or equivalent enterprise data platforms. Utilize GenAI and ChatGPT APIs to automate data ingestion and processing workflows; familiarity with large language models (LLM), retrieval-augmented generation (RAG), Power BI, and Tableau is a plus. Build and integrate RESTful APIs to enable seamless and secure data exchange between internal systems and external partners. Create and maintain automation scripts for data extraction, transformation, and reporting using Python and other scripting languages. Write optimized SQL queries and manage enterprise-grade database systems; experience with data warehousing solutions such as Redshift, Snowflake, or Azure Synapse is required. Demonstrate expertise in data modeling, transformation, storytelling, and visualization using Power BI, Tableau, or similar BI tools. Communicate complex technical insights and analyses clearly and concisely to both technical and non-technical stakeholders, supporting data-driven decision-making. Apply machine learning, statistical modeling, and time-series forecasting techniques (classification, regression, clustering, random forest, gradient boosting, etc.) to build, calibrate, and validate predictive models. Deliver end-to-end data pipelines and deploy machine learning models in production environments following enterprise best practices for scalability, monitoring, and governance. Ensure compliance with data privacy, security policies, and regulatory requirements (e.g., GDPR, HIPAA) during data handling and model deployment. Collaborate with data engineering, IT, and security teams to ensure robust data infrastructure and governance frameworks. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. 4+ years of hands-on experience with cloud-based data science and engineering technologies, including platforms like Databricks, AWS S3, Athena, Glue, or comparable enterprise cloud services. Strong programming skills in Python with expertise in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Proficient in SQL and experienced with enterprise database management and data warehousing technologies (e.g., Databricks, Redshift, Snowflake, Azure Synapse). Experience designing and developing automated data pipelines and workflows; familiarity with Git, CI/CD, and DevOps principles. Proven ability to design, implement, and deploy machine learning models and data workflows in production environments. Strong analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts for diverse audiences. Experience working in enterprise environments with strict data governance, security, and compliance requirements. Preferred Skills: Experience with GenAI, ChatGPT API integration, and working knowledge of large language models (LLM) and retrieval-augmented generation (RAG). Proficiency in data visualization tools such as Power BI, Tableau, or equivalent. Familiarity with REST API development and integration. Knowledge of time-series forecasting and advanced machine learning algorithms including ensemble methods and deep learning. Exposure to containerization (Docker), orchestration (Kubernetes), and cloud ML platforms (e.g., Azure ML, Databricks AI Platform). Experience in agile project delivery and collaborative team environments. About Oliver Wyman: Oliver Wyman is a global leader in management consulting. With offices in 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 7,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on X @OliverWyman. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Location Name: Jodhpur Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose.This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc.Culture Anchor:Work Hard - Consistently puts in effort. plans and tracks daily progress to achieve targetsExecute with Rigor - Takes responsibility for meeting targets with focus and effortOwn It - Maintains honesty and fairness in all interactions in line with organization’s policiesAct with Integrity Duties And Responsibilities Build Stress Testing Framework and execute the sameDevelop, validate, and execute Stress Testing Tools and Stress Testing EngineBuild, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businessesSupport any adhoc deep dive data analysis on portfolio metrices Support in Data analysis and segmentations.Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Required Qualifications And Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science)Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages: SAS, SQL, R, Python. Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Location Name: Jaipur Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose.This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc.Culture Anchor:Work Hard - Consistently puts in effort. plans and tracks daily progress to achieve targetsExecute with Rigor - Takes responsibility for meeting targets with focus and effortOwn It - Maintains honesty and fairness in all interactions in line with organization’s policiesAct with Integrity Duties And Responsibilities Build Stress Testing Framework and execute the sameDevelop, validate, and execute Stress Testing Tools and Stress Testing EngineBuild, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businessesSupport any adhoc deep dive data analysis on portfolio metrices Support in Data analysis and segmentations.Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Required Qualifications And Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science)Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages: SAS, SQL, R, Python. Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Location Name: Bikaner Job Purpose "This position is open with Bajaj finance limited" Plan, organize and control collections for PLCS Tier II Growth markets for Bucket 0 and Bucket 1 through efficient portfolio management and cost management; Develop forecasts for manpower and collections resolution planning Duties And Responsibilities PRINCIPAL ACCOUNTABILITIES (Accountabilities associated with the job) Collection planning – Monthly, six monthly and annual planning  Analyze the AOP targets and determine aspirational targets; Spread the target across the calendar months to gradually increase resolution as per the location wise nuances  Cascade the AOP and aspirational targets across the ZMs and RCM  Review performance (POS resolution and POS flow) both region and location wise to identify poor performing areas and provide course correction inputs to improve collection efficiency Forecasting Manpower  Prepare manpower planning forecasts for collections based on business volumes, location requirements, etc.  Engage with PLCS sales team and risk team to understand plans for new locations, sales contests and business volumes  Determine impact of business volumes on delinquency and incorporate into manpower planning forecasts Portfolio management  Analyze the Account Receivables (AR) to understand percentage of FEMI bounce and conduct trend analysis of average percentage movements to evaluate the portfolio  Identify gaps and determine areas of process lapse impacting higher percentage of FEMI; Highlight to Risk team for potential changes to the defined processes  Review the loss number to ensure adherence to budget target and AOP; Identify areas of deviations and guide team to determine principle outstanding (POS) resolution and in turn the count level resolution to ensure minimal variance Cost management  Monitor the collections cost such as per receipt costing, penalty collections, etc.; in case of deviations closely review higher payout and impact on collections  Review the collections agency metrics such as payout, penalty collections, penalty penetration, etc. to ensure alignment with company objectives  Determine markets with opportunities to introduce and drive touch free collections (lower cost) through tele-calling  Negotiate and finalize vendors providing tele-calling capability to drive the touch free collections  Monitor penalty collection percentage, penalty penetration, etc. and drive penalty collections to contain the collections costs by better leveraging tele-calling efforts for collecting bounce charges, improve penalty penetrations, etc.  Identify opportunities for introducing and deepening penetration of digital channel as waiver for online payment, charges for physical payment pick up, etc. Vendor management  Engage with the Hub Con (Regional level) and Telecalling (Pan India) vendors to develop relations and enhance alignment with company expectations  Review the monthly allocation for vendors, day wise resolution for early resolution and referrals for non-contactable to field teams  Conduct discussions with vendor representatives on payout and review performance  Visit collection agencies (small vendors, direct collection agencies, etc.) to discuss process lapse and gain|6. Team development  Implement reward and recognition mechanisms to motivate and engage the team to meet the objectives  Participate in recruitment process to identify the right talent at various positions within the team  Establish individual performance expectations and regularly review individual performance of the team  Identify development opportunities for team members to enhance their functional knowledge Team development  Implement reward and recognition mechanisms to motivate and engage the team to meet the objectives  Participate in recruitment process to identify the right talent at various positions within the team  Establish individual performance expectations and regularly review individual performance of the team Identify development opportunities for team members to enhance their functional knowledge Required Qualifications And Experience SKILLS AND KNOWLEDGE (Minimum acceptable proficiency for this job which best indicates the education and/or experience requirements of this job and not the incumbent) Educational Qualifications Qualifications  Post- graduation Work Experience  More than 10 years of experience  Strong experience and practical knowledge of Collections (including tele-calling and field collection)