Job Title: Analytical Manager Company: Thyrocare Job Category: Machine Learning Roles & Responsibilities: Job Summary We are looking for a seasoned analytics leader to drive data\-driven decision\-making across our organization. In this role, you will own the analytics agenda for one or more business verticals, acting as a strategic thought partner to senior business and product stakeholders while leading a high\-performing team of analysts and data scientists. The ideal candidate combines deep technical expertise in machine learning, statistical modelling, and Insights Frameworks with the ability to translate ambiguous business problems into structured, impactful solutions and the leadership presence to scale those solutions across the organization. Key Responsibilities Business Partnering * Serve as the primary analytics partner to senior business and product leaders, proactively identifying opportunities where data can drive measurable business outcomes. * Translate complex, ambiguous business problems into well\-scoped analytics roadmaps with clear milestones, success metrics, and ROI framing. * Influence strategic decisions by presenting data\-backed recommendations to senior stakeholders, including cross\-functional leadership. * Build strong, trust\-based relationships across functions (Growth, Product, Engineering) to embed analytics into core business workflows and planning cycles. * Drive a culture of experimentation and data literacy across business teams; design and interpret A/B tests and other causal inference frameworks to validate hypotheses. Team Management \& Leadership * Lead, mentor, and develop a team of 58 analysts and data scientists, fostering a high\-performance, collaborative culture. * Define team goals, manage performance, and provide structured career development pathways for team members. * Oversee project portfolio management — prioritize competing demands, allocate resources effectively, and ensure on\-time delivery against business commitments. * Champion best practices in analytics engineering, code review, documentation, and knowledge sharing within the team. * Recruit and onboard top analytics talent to grow team capability in line with business needs. * Architect and oversee end\-to\-end analytics solutions — from data ingestion and wrangling through modelling, validation, and production deployment. * Lead the development of advanced ML and statistical models (regression, classification, clustering, time series, causal inference, NLP, recommendation systems) to solve high\-stakes business problems. * Hands\-on proficiency in Python (pandas, scikit\-learn, XGBoost, PyTorch/TensorFlow) and SQL (complex joins, window functions, query optimization across large datasets). * Design scalable data models and pipelines; experience with cloud data platforms (e.g., BigQuery, Snowflake, Redshift) and orchestration tools (e.g., Airflow, dbt) is a strong plus. * Build and maintain executive\-grade dashboards and reporting frameworks using BI tools (Tableau, Power BI, Metabase) that serve as single sources of truth for business KPIs. * Ensure rigorous standards for data quality, validation, and model monitoring in production environments. * Evaluate and adopt emerging tools and methodologies (e.g., LLM\-powered analytics, AutoML, feature stores) to continuously raise the team's capability bar. Work Location: Navi Mumbai, India Availability: Full time
Job Title: Game Developer Company: Omre Enterprises Job Category: Machine Learning Roles & Responsibilities: Job Description: Senior Game Developer / Lead Game Engineer Experience: 5–8\+ Years Department: Game Development / Technology \& Engineering Employment Type: Full\-Time Industry: Gaming, Interactive Entertainment, Mobile Gaming, PC \& Console Gaming Work Mode: On\-site / Hybrid Seniority: Senior / Technical Lead 1\. About the Role We are looking for an exceptional, highly skilled Senior Game Developer / Lead Game Engineer with 5\+ years of professional experience in designing, developing, engineering, and delivering high\-quality interactive gaming experiences. The ideal candidate must possess strong expertise in modern game engines, gameplay programming, 2D/3D game development, graphics programming, multiplayer systems, physics simulations, artificial intelligence, and game optimization. The candidate will be responsible for the complete game development lifecycle, from concept development and technical architecture to gameplay engineering, prototyping, production, testing, deployment, and post\-launch optimization. We are looking for a technically strong and creatively driven developer who can build immersive, visually impressive, scalable, high\-performance games for mobile, PC, console, and web platforms. 2\. Key ResponsibilitiesA. Game Development \& Engineering * Design, develop, and implement high\-quality 2D and 3D games. * Build engaging gameplay mechanics, game systems, environments, and interactive experiences. * Develop core game architecture, frameworks, reusable components, and gameplay systems. * Implement character controllers, movement systems, combat mechanics, animations, and interactions. * Develop game logic, AI systems, physics simulations, and environmental interactions. * Build prototypes, proof\-of\-concepts, and production\-ready game features. * Optimize gameplay systems for performance, scalability, and stability. * Translate game design documents into functional gameplay experiences. * Ensure clean, maintainable, modular, and reusable code. B. Game Engines \& Development Frameworks * Strong professional experience with Unreal Engine 5\.x and/or Unity 6\.x. * Work with Unreal Engine Blueprints, C\+\+, Unity C\#, and engine\-specific scripting systems. * Develop custom gameplay systems and engine extensions. * Work with rendering pipelines, shaders, materials, lighting, and visual effects. * Implement animation systems, skeletal meshes, character rigs, and state machines. * Integrate third\-party SDKs, plugins, and development frameworks. * Evaluate emerging game engine technologies and development tools. * Familiarity with Godot and other emerging game development frameworks is an advantage. C. 3D Game Development \& Graphics Programming * Develop immersive 3D environments, characters, objects, and interactive worlds. * Work with 3D models, meshes, textures, materials, and lighting systems. * Implement real\-time rendering, shadows, reflections, and visual effects. * Work with PBR materials, physically based rendering, and advanced shaders. * Optimize draw calls, polygon counts, memory consumption, and GPU performance. * Implement LOD systems, occlusion culling, and asset streaming. * Work with advanced rendering technologies such as Lumen, Nanite, and modern rendering pipelines where appropriate. * Ensure consistent visual quality across different hardware configurations. D. 2D Game Development * Develop 2D casual, arcade, puzzle, strategy, simulation, and action games. * Implement sprite animations, tilemaps, collision systems, and physics. * Develop UI interactions, transitions, scoring systems, and game progression. * Optimize 2D rendering and gameplay performance. * Create reusable frameworks for rapid game development. E. Multiplayer \& Online Game Development * Design and implement real\-time multiplayer gaming systems. * Develop client\-server architecture and network communication. * Implement matchmaking, player sessions, lobbies, and multiplayer synchronization. * Work with authoritative servers, replication, prediction, and lag compensation. * Develop cross\-platform multiplayer and cross\-play functionality. * Implement leaderboards, ranking systems, tournaments, and competitive gameplay. * Integrate online services, player authentication, and cloud\-based game data. * Optimize network performance, latency, and server reliability. * Implement anti\-cheat systems and multiplayer security measures. * Implement intelligent NPCs and enemy behavior. * Develop pathfinding, navigation meshes, behavior trees, and decision\-making systems. * Work with machine learning and AI\-assisted game development tools. * Implement procedural content generation and dynamic game environments. * Develop adaptive difficulty and intelligent gameplay mechanics. * Explore AI\-driven NPC interactions, dialogue systems, and dynamic storytelling. * Integrate generative AI tools into appropriate development workflows while maintaining quality and performance. * Implement realistic physics simulations and collision detection. * Work with rigid bodies, soft bodies, ragdoll systems, and physics constraints. * Develop character animation systems and animation blending. * Implement inverse kinematics (IK), motion matching, and procedural animation where applicable. * Integrate motion capture and animation assets. * Optimize animation performance across target devices. H. Mobile, PC \& Cross\-Platform Development * Develop and optimize games for Android and iOS. * Build games for Windows, macOS, and supported console platforms. * Implement cross\-platform game architecture and input systems. * Optimize CPU, GPU, RAM, battery consumption, and loading times. * Handle different screen resolutions, aspect ratios, and device configurations. * Implement platform\-specific SDKs, integrations, and services. * Manage game builds, packaging, deployment, and release processes. * Ensure compatibility across different operating systems and hardware generations. * Integrate game backend services and REST APIs. * Develop player authentication, profiles, inventory, and progression systems. * Implement cloud saves, player statistics, and leaderboard services. * Work with databases, caching, and real\-time data synchronization. * Integrate multiplayer backend services and dedicated game servers. * Implement analytics, telemetry, and player behavior tracking. * Ensure secure communication between game clients and backend services. * Implement in\-app purchases and virtual currency systems. * Integrate rewarded advertisements, interstitial ads, and other monetization formats. * Develop battle passes, achievements, missions, rewards, and progression systems. * Implement daily challenges, seasonal events, and limited\-time content. * Develop live operations (LiveOps) features and content update systems. * Integrate analytics and monetization SDKs. * Optimize player retention, engagement, and lifetime value. * Support A/B testing and data\-driven gameplay improvements. * Conduct gameplay testing, debugging, profiling, and performance analysis. * Identify and resolve crashes, memory leaks, rendering issues, and gameplay defects. * Perform CPU, GPU, network, and memory profiling. * Optimize frame rates, loading times, and rendering performance. * Collaborate with QA teams on functional, compatibility, regression, and performance testing. * Ensure stable builds and production\-ready releases. * Monitor post\-launch bugs and implement timely fixes. L. Collaboration \& Technical Leadership * Collaborate with game designers, 3D artists, animators, UI/UX designers, sound designers, QA engineers, and backend developers. * Translate creative requirements into technical implementation plans. * Review code and maintain engineering standards. * Mentor junior developers and support technical problem\-solving. * Estimate development effort and identify technical dependencies. * Maintain technical documentation and development workflows. * Participate in technical architecture discussions and development planning. * Blender. * Autodesk Maya. * Substance 3D Painter. * Photoshop. * PBR workflows. * Shader development. * Real\-time rendering and lighting. * Niagara and VFX Graph. Development \& Collaboration Tools 4\. Advanced \& Emerging Game Development Technologies * AI\-assisted game development and coding workflows. * Generative AI integration for game content and development pipelines. * Procedural generation of environments, levels, and assets. * Intelligent NPCs and AI\-driven character interactions. * Advanced real\-time rendering and graphics optimization. * Virtual Reality (VR) and Augmented Reality (AR). * Extended Reality (XR). * Cloud gaming and distributed game infrastructure. * Cross\-platform multiplayer and shared gaming ecosystems. * Motion matching and procedural animation. * Real\-time physics and destruction systems. * Automated gameplay testing and AI\-assisted QA. * Advanced game analytics and player behavior intelligence. 7\. Key Performance Indicators (KPIs) * Development Delivery: Successful completion of assigned game development milestones. * Code Quality: Maintainable, optimized, and reusable code. * Performance Optimization: Stable FPS, reduced loading times, and efficient memory utilization. * Bug Resolution: Reduction in critical defects and recurring gameplay issues. * Gameplay Quality: Smooth, responsive, and engaging gameplay experiences. * Multiplayer Stability: Reliable synchronization, low latency, and server stability. * Cross\-Platform Compatibility: Consistent gameplay and performance across supported platforms. * Release Management: Successful builds, testing, and production deployments. * Development Efficiency: Effective use of engineering resources and development tools. * Player Experience: Improved retention, engagement, and gameplay satisfaction. * Technical Innovation: Adoption of relevant emerging technologies and improved development workflows. * Post\-Launch Support: Timely updates, performance improvements, and issue resolution. 8\. Leadership \& Professional Competencies * Strong technical ownership and accountability. * Excellent problem\-solving and debugging capabilities. * Creative thinking and game design understanding. * Ability to work independently and collaboratively. * Strong communication and technical documentation skills. * Ability to work under tight production deadlines. * Passion for gaming, interactive entertainment, and emerging technologies. * Ability to mentor developers and contribute to engineering excellence. * Strong focus on product quality, performance, and innovation. We are looking for a highly capable game development professional who can go beyond basic gameplay programming and contribute to building technically advanced, commercially viable, and engaging gaming products. * Project management: 5 years (Required) Work Location: In person Work Location: Mumbai, India Availability: Full time
Job Title: Enabling Areas - IT - DM - Junior AI Architect Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Your work profile Architecture Design: Design end\-to\-end architecture for AI solutions, including data ingestion, processing, modeling, deployment, and monitoring. Define architecture patterns, components, and interfaces to ensure scalability, performance, and reliability. Technology Evaluation: Evaluate and select appropriate AI technologies, frameworks, and tools to support the implementation of AI solutions. Stay abreast of emerging AI trends and advancements to inform technology decisions and architectural design. Model Development and Optimization: Collaborate with data scientists and machine learning engineers to develop and optimize machine learning and deep learning models. Ensure best practices in model development, training, evaluation, and deployment. Integration and Deployment: Integrate AI solutions into existing systems and infrastructure. Define deployment strategies and processes for deploying AI models in production environments, including cloud\-based and edge computing platforms. Performance Monitoring and Optimization: Establish monitoring and optimization mechanisms to track the performance, accuracy, and efficiency of AI systems in production. Implement feedback loops and continuous improvement processes to optimize AI models and algorithms over time. Governance and Compliance: Define governance policies and practices for AI development, deployment, and usage. Ensure compliance with regulatory requirements, ethical standards, and privacy considerations in AI initiatives. Collaboration and Leadership: Collaborate with cross\-functional teams, including data scientists, engineers, product managers, and business stakeholders, to drive AI projects from concept to delivery. Provide technical leadership and mentorship to team members. Work Location: Mumbai, India Availability: Full time
Job Title: Business Analyst Company: Thyrocare Job Category: Machine Learning Roles & Responsibilities: Responsibilities : Work Location: Navi Mumbai, Bengaluru, India Availability: Full time
Job Title: Data Scientist (Gen/Agentic AI solutions) Company: Holcim Job Category: Machine Learning Roles & Responsibilities: About Holcim As the world’s global leader in innovative and sustainable building materials, Holcim is reinventing the way the world builds. Supported by a 45,000\-strong global team spread across 44 countries and four industry segments (Cement, Aggregates, Ready\-Mix Concrete and Solutions \& Products), we are committed to shaping a greener, smarter and healthier world. It’s our ambition to lead the industry in reducing carbon emissions and accelerating the transition towards low\-carbon constructions globally. Experience: * 8\+ years of progressive experience in data science and machine learning, with a minimum of 3 years focused on Generative AI and LLM\-based systems. * Demonstrated track record of delivering AI solutions at enterprise scale * Hands\-on experience with full AI/ML lifecycle management: data engineering, feature stores, model training, evaluation, deployment, and monitoring. * Industry experience especially in Manufacturing Function in a Building Material Industry, Manufacturing, Process or Pharma is preferred. Key Responsibility: * Platform Prototyping: Design and implement core ML components, such as feature stores, model registries, and automated evaluation pipelines. * Standardization: Establish best practices for the ML lifecycle, from data labeling and experimentation to CI/CD for ML (MLOps). * Scalability: Optimize model inference and training workflows to handle high\-throughput, low\-latency requirements. * Internal Consulting: Act as a subject matter expert for product\-facing data science teams, helping them leverage platform tools to solve complex business problems. * Tooling \& Automation: Build internal libraries and SDKs that simplify the transition from a local research environment to a distributed production environment. * RAG Infrastructure: Design and optimize high\-performance retrieval systems using vector databases (e.g., Pinecone, Weaviate) and advanced semantic search techniques. * LLM Evaluation Frameworks: Build automated "vibe\-check" replacements. Develop rigorous evaluation pipelines using LLM\-as\-a\-judge, G\-Eval, or custom scoring rubrics to measure hallucination, faithfulness, and relevancy. * Agentic Orchestration: Develop and standardize the use of agentic frameworks (e.g., LangGraph, CrewAI) to allow product teams to build complex, multi\-step AI workflows. * Model Lifecycle Management: Manage the transition between model providers (OpenAI, Anthropic, Google) and open\-source alternatives (Llama 3\+, Mistral) through unified abstraction layers. * Cost \& Latency Optimization: Implement caching strategies (e.g., GPTCache), prompt compression, and token\-usage monitoring to ensure the platform remains economically viable. * Guardrails \& Safety: Integrate real\-time content filtering and PII masking to ensure all LLM outputs comply with corporate security and ethical standards. Work Location: Navi Mumbai, Maharashtra, India Availability: Full time
Job Title: Data Analytics Associate Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As a Financial Analytics Associate within our Asset and Wealth Management Transformation and Analytics Team, you will define, refine, and deliver strategic goals for our firm by translating complex financial and operational data into actionable insights, predictive models, and AI\-promoten solutions that enhance decision\-making and promote business performance. Job Responsibilities*:* * Scope, prioritize and co\-ordinate activities with product owners and finance stakeholders. Partner with Finance, Risk and Business teams to identify strategic analytical, data science and AI solutions. Perform in\-depth financial analysis including revenue, expense, margin, variance, profitability, product/client profitability and KPI analysis to support business decisions. * Design, develop and automate management reporting, dashboards and scorecards covering P\&L, balance sheet, cash flow, forecasts, budgets, headcount and performance metrics. Drive the annual budgeting, mid\-year re\-forecast, rolling forecast and multi\-year strategic planning cycles in partnership with Business Finance teams. * Implement exploratory data analysis (EDA) and statistical modelling to identify trends, patterns and drivers of financial performance. Identify key financial and operational data sources that can drive business impact; ensure data quality, reconciliation and audit trails across reporting outputs. * Design and develop data mining and reporting queries from large data sets (both structured and unstructured) and convert raw financial data into clear information. Build compelling visualizations and storytelling using BI tools (Tableau, Power BI, Alteryx) that translate financial results and model outputs into clear business narratives for senior leadership. * Employ scaling and automation to data preparation, consolidation and reporting workflows to improve efficiency and accuracy of recurring financial deliverables. Transform model outputs and analytical results into formats digestible to end users through visualizations, clear tables and thoughtful presentations; assist technical and non\-technical stakeholders in interpreting the analysis. * Leverage AI assistants and copilots (e.g., Microsoft 365 Copilot, GitHub Copilot, and in\-house Gen AI tooling) to accelerate analytics workflows — code generation, SQL/Python drafting, document summarization, and natural\-language querying of financial datasets — while applying firm\-approved controls on data confidentiality and model output review. * Self\-starter, attention to detail and results oriented, able to work under minimal guidance in a fast\-paced environment. * Uses pertinent financial data and facts to identify and solve a range of business problems within area of expertise. * Mandatory experience in financial analytics, FP\&A, management reporting, variance analysis and KPI/performance measurement. Strong understanding of accounting principles (US GAAP / IFRS), financial statements (P\&L, balance sheet, cash flow), journal entries, intercompany, allocations, accruals and month\-end close processes. * Working knowledge of profitability and performance metrics: unit economics, gross/operating margin, contribution margin, EBITDA, ROE/ROA, cost\-to\-income ratio, NIM, fee revenue and AUM\-based metrics. * Mandatory experience in Exploratory Data Analysis (EDA), regression and statistical/machine learning modelling applied to financial or business datasets. Hands\-on experience with pandas and PySpark/PySQL stack. Experience in building data extraction, transformation and modelling pipelines. * Strong proficiency in SQL (Snowflake, Databricks) and Python (Pandas, NumPy, Scikit\-learn, Keras, PySpark/PySQL) for data wrangling, modelling, AI pipelines and automation of financial workflows. Hands\-on experience using AI skills / copilots to support analytics work — e.g., Microsoft 365 Copilot (Excel, Power BI, Word, PowerPoint), GitHub Copilot, for SQL generation, data summarization and productivity gains in day\-to\-day financial analytics deliverables; awareness of responsible\-AI, data\-privacy and model\-risk guardrails. * Working proficiency in data visualization tools; strong experience with BI technologies including but not limited to Tableau, Power BI and Alteryx. Experience in end\-to\-end implementation of Business Intelligence (BI) reports and dashboards for finance, risk or business performance reporting. Should be good at mathematics, inferential statistics and quantitative analysis as applied to financial data and model building. * Provides explanations and information to others on topics within area of expertise; strong business partnering skills with Finance and Business stakeholders. * Experience Required: 5\+ years in data/analytics related projects with 2\+ years in financial analytics * Good communication and analytical skills, with the ability to present financial insights, model results and AI\-driven outputs clearly to senior stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: Mumbai, India Availability: Full time
Job Title: Machine Learning-Lead AI and Data Science Engineer II Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: * Implement large\-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud\-based platforms. * Leverage automation, cognitive and science\-based techniques to manage data, predict scenarios and prescribe actions. * Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As\-a\-Service offerings for continuous insights and improvements. Job Title: Manager Job Summary: We are looking for a Generative AI Team Lead with hands\-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: * Lead and deliver large\-scale AI/Gen AI projects across multiple industries and domains. * Liaison with on\-site and client teams to understand various business problem statements and project requirements. * Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data \& AI professionals to deliver projects from inception to implementation. * Brainstorm, build \& improve AI/Gen AI models developed by the team \& identify scope for model improvements \& best practices. * Assist and participate in pre\-sales, client pursuits and proposals. * Drive a human\-led culture of Inclusion \& Diversity by caring deeply for all team members. \#AI\&DATAROLESAUGUST29 \#AIE2027 Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Work Location: Mumbai, Maharashtra, India Availability: Full time
Job Title: Senior Test Engineer Company: QualityKiosk Job Category: Machine Learning Roles & Responsibilities: Senior Test Engineer ------------------------ Basic Section ----------------- No. Of Openings1 DesignationSenior Test Engineer Closing Date 29 Dec 2026 Organisational ------------------ MainBUQuality Engineering Sub BUMS \- Banking \& FS CountryIndia RegionIndia StateMaharashtra CityMumbai Working LocationMumbai Client LocationNA Skills ---------- #### Skill No data available #### Working Language No data available JOB DESCRIPTION ------------------- Work Location: Maharashtra, India Availability: Full time
Job Title: Data Analytics Associate Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As a Financial Analytics Associate within our Asset and Wealth Management Transformation and Analytics Team, you will define, refine, and deliver strategic goals for our firm by translating complex financial and operational data into actionable insights, predictive models, and AI\-promoten solutions that enhance decision\-making and promote business performance. Job Responsibilities*:* * Scope, prioritize and co\-ordinate activities with product owners and finance stakeholders. Partner with Finance, Risk and Business teams to identify strategic analytical, data science and AI solutions. Perform in\-depth financial analysis including revenue, expense, margin, variance, profitability, product/client profitability and KPI analysis to support business decisions. * Design, develop and automate management reporting, dashboards and scorecards covering P\&L, balance sheet, cash flow, forecasts, budgets, headcount and performance metrics. Drive the annual budgeting, mid\-year re\-forecast, rolling forecast and multi\-year strategic planning cycles in partnership with Business Finance teams. * Implement exploratory data analysis (EDA) and statistical modelling to identify trends, patterns and drivers of financial performance. Identify key financial and operational data sources that can drive business impact; ensure data quality, reconciliation and audit trails across reporting outputs. * Design and develop data mining and reporting queries from large data sets (both structured and unstructured) and convert raw financial data into clear information. Build compelling visualizations and storytelling using BI tools (Tableau, Power BI, Alteryx) that translate financial results and model outputs into clear business narratives for senior leadership. * Employ scaling and automation to data preparation, consolidation and reporting workflows to improve efficiency and accuracy of recurring financial deliverables. Transform model outputs and analytical results into formats digestible to end users through visualizations, clear tables and thoughtful presentations; assist technical and non\-technical stakeholders in interpreting the analysis. * Leverage AI assistants and copilots (e.g., Microsoft 365 Copilot, GitHub Copilot, and in\-house Gen AI tooling) to accelerate analytics workflows — code generation, SQL/Python drafting, document summarization, and natural\-language querying of financial datasets — while applying firm\-approved controls on data confidentiality and model output review. * Self\-starter, attention to detail and results oriented, able to work under minimal guidance in a fast\-paced environment. * Uses pertinent financial data and facts to identify and solve a range of business problems within area of expertise. * Mandatory experience in financial analytics, FP\&A, management reporting, variance analysis and KPI/performance measurement. Strong understanding of accounting principles (US GAAP / IFRS), financial statements (P\&L, balance sheet, cash flow), journal entries, intercompany, allocations, accruals and month\-end close processes. * Working knowledge of profitability and performance metrics: unit economics, gross/operating margin, contribution margin, EBITDA, ROE/ROA, cost\-to\-income ratio, NIM, fee revenue and AUM\-based metrics. * Mandatory experience in Exploratory Data Analysis (EDA), regression and statistical/machine learning modelling applied to financial or business datasets. Hands\-on experience with pandas and PySpark/PySQL stack. Experience in building data extraction, transformation and modelling pipelines. * Strong proficiency in SQL (Snowflake, Databricks) and Python (Pandas, NumPy, Scikit\-learn, Keras, PySpark/PySQL) for data wrangling, modelling, AI pipelines and automation of financial workflows. Hands\-on experience using AI skills / copilots to support analytics work — e.g., Microsoft 365 Copilot (Excel, Power BI, Word, PowerPoint), GitHub Copilot, for SQL generation, data summarization and productivity gains in day\-to\-day financial analytics deliverables; awareness of responsible\-AI, data\-privacy and model\-risk guardrails. * Working proficiency in data visualization tools; strong experience with BI technologies including but not limited to Tableau, Power BI and Alteryx. Experience in end\-to\-end implementation of Business Intelligence (BI) reports and dashboards for finance, risk or business performance reporting. Should be good at mathematics, inferential statistics and quantitative analysis as applied to financial data and model building. * Provides explanations and information to others on topics within area of expertise; strong business partnering skills with Finance and Business stakeholders. * Experience Required: 5\+ years in data/analytics related projects with 2\+ years in financial analytics * Good communication and analytical skills, with the ability to present financial insights, model results and AI\-driven outputs clearly to senior stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: Mumbai, India Availability: Full time
Job Title: Principal Consultant GIS Company: WSP Job Category: Machine Learning Roles & Responsibilities: WSP India is currently looking for a talented Principal Consultant – GIS to contribute \& involve assisting with data management and mapping activities related to WSP AU projects systems. The position will be for BANGLORE/MUMBAI/NOIDA location . This is a hands\-on technical and delivery\-focused role. This position provides opportunities to contribute to advanced GIS, automation, digital and strategic initiatives. A significant component will involve day\-to\-day project delivery, including routine GIS activities and supporting the operational requirements of Australian project teams. * Build and maintain strong relationships with Australian business stakeholders to ensure effective communication, alignment on priorities, and successful project delivery. * Collaborate with multiple stakeholders across Australia and global GCC teams to manage work pipelines and ensure timely delivery of geospatial services. * Act as a trusted advisor for GIS, spatial analytics, and digital transformation initiatives. * Manage and prioritise GIS work pipelines, balancing project requirements, resource capacity, deadlines and technical complexity. * Take ownership of GIS delivery for assigned projects, including scope, programme, quality, risks and technical outcomes * Facilitate collaboration across regions to promote consistency, innovation, best practices, and knowledge sharing. * Provide regular status updates, identify delivery risks, and implement mitigation strategies. * Support business development activities, proposals, estimates, and technical solution development. Technical Leadership \& Team Development * Provide leadership, mentoring, and technical guidance to GIS professionals and project teams. * Provide technical oversight and direction on complex or higher\-risk GIS tasks and projects * Drive continuous improvement of GIS delivery standards, processes, and technical capabilities. * Conduct technical reviews and ensure compliance with organizational quality standards. * Support capability development through technical training, coaching, and knowledge\-sharing initiatives. * Support the development of junior and intermediate GIS professionals through technical guidance and constructive review * Foster a culture of innovation, collaboration, and service excellence within the GCC\-AU Digital Services Team. * Design, develop, manage and maintain geospatial datasets, databases and GIS solutions appropriate to project requirements. * Perform spatial analysis, data validation, digitization, feature attribution, topological corrections, and data integration activities. * Capture and maintain infrastructure, utilities, environmental, land management, and operational datasets from imagery and multiple data sources. * Produce and oversee high\-quality maps, dashboards, web applications, reports, and spatial visualizations supporting business decision\-making. * Provide technical advice on spatial data structures, workflows, analysis methods and GIS solution design. * Ensure compliance with GIS standards, data governance policies, and quality management systems. * Develop and implement automated GIS workflows using Python, , Model Builder, FME, ArcGIS tools, and other digital or coding technologies would be a plus. * Identify opportunities for process optimization and service enhancement through automation. * Utilize advanced spatial analytics and location intelligence techniques to generate business insights. * Contribute to the adoption and implementation of GeoAI, machine learning, and AI\-driven geospatial solutions. * Evaluate emerging technologies and provide recommendations to improve business outcomes and operational efficiency. * Develop and implement automated GIS workflows using Python, , Model Builder, FME, ArcGIS tools, and other digital or coding technologies would be a plus. Infrastructure, Environment, Resources \& Asset Data Management * Support mining activities, asset management, infrastructure planning, environmental compliance, land access, disturbance footprint assessments, and operational GIS programs. * Perform geospatial assessments, asset register reviews, utility analysis, and data validation activities. * Deliver accurate spatial information products supporting operational and strategic decision\-making. * Ensure integrity, accuracy, and usability of geospatial information across the asset lifecycle. * Lead Quality Assurance and Quality Control (QA/QC) activities for GIS deliverables and spatial datasets. * Maintain compliance with organizational standards, governance frameworks, and quality management systems. * Develop and maintain technical documentation, workflows, standards, and procedures. * Promote continual improvement in geospatial service delivery and data quality. * Strong understanding of GIS data quality, governance, metadata and spatial data management principles. WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation \& Infrastructure, Property \& Buildings, Earth \& Environment, Power \& Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficiency. * WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Mumbai, India Availability: Full time
