80 Model Building Jobs

The role of a member in the New Analytics Team based in Hyderabad involves understanding business processes and data to model requirements for creating analytics solutions. You will be responsible for building predictive models and recommendation engines using cutting-edge machine learning techniques to enhance the efficiency and effectiveness of business processes. Your tasks will include churning and analyzing data to identify actionable insights and patterns for business use. Additionally, you will assist the Function Head in data preparation and modeling tasks as required. Collaboration with both business and IT teams is essential for understanding and collecting data. Your responsibilities will also include collecting, collating, cleaning, processing, and transforming large volumes of primarily tabular data comprising numerical, categorical, and some textual information. Applying data preparation techniques such as data filtering, joining, cleaning, missing value imputation, feature extraction, feature engineering, feature selection, dimensionality reduction, feature scaling, and variable transformation will be a part of your routine tasks. You will be expected to apply basic algorithms like linear regression, logistic regression, ANOVA, KNN, various clustering methods, SVM, Naive Bayes, decision trees, principal components, and association rule mining. Additionally, ensemble modeling algorithms like bagging (Random Forest), boosting (GBM, LGBM, XGBoost, CatBoost), time-series modeling, and other state-of-the-art algorithms will also be utilized as required. Your role will involve employing modeling concepts such as hyperparameter optimization, feature selection, stacking, blending, K-fold cross-validation, bias and variance, and combating overfitting. Building predictive models using state-of-the-art machine learning techniques for regression, classification, clustering, recommendation engines, etc., will be a key part of your responsibilities. Furthermore, you will analyze business data to uncover hidden patterns and insights, identify explanatory causes, and make strategic recommendations based on your findings. To excel in this role, you should hold a BE/B. Tech degree in any stream and possess strong expertise in Python libraries like Pandas and Scikit Learn. Proficiency in coding according to the outlined requirements is essential. Experience with Python editors such as PyCharm and/or Jupyter Notebooks is a must, along with the ability to organize code into modules, functions, and/or objects. Knowledge of using ChatGPT for machine learning will be advantageous, while familiarity with basic SQL for querying and Excel for data analysis is necessary. Understanding basics of statistics, including distributions, hypothesis testing, and sampling techniques, is a prerequisite. Experience with Kaggle and familiarity with R are desirable. Ideal candidates will have a minimum of 4 years of experience solving business problems through data analytics, data science, and modeling, with at least 2 years of full-time experience as a data scientist. They should have worked on at least 3 projects involving ML model building that were utilized in production by businesses or other clients. Your primary responsibilities will include spending 35% of your time on data preparation for modeling, 35% on building ML/AI models for various business requirements, 20% on performing custom analytics to provide actionable insights to the business, and 10% on assisting the Function Head in data preparation and modeling tasks as needed. Candidates without familiarity with deep learning algorithms, image processing and classification, and text modeling using NLP techniques will not be considered for selection. For applying to this position, please email your application to careers@isb.edu.,

Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do: As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our team's use cases include but are not limited to threat detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 4-7 years of industry experience in one or more machine/deep learning frameworks 4-7 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as MLFlow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field will be an added advantage 4-7 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement

Greetings from Technogen !!! We thank you for taking time about your competencies and skills, while allowing us an opportunity to explain about us and our Technogen, we understand that your experience and expertise are relevant the current open with our clients. About Technogen : TechnoGen Brief Overview:- TechnoGen, Inc. is an ISO 9001:2015, ISO 20000-1:2011, ISO 27001:2013, and CMMI Level 3 Global IT Services Company headquartered in Chantilly, Virginia. TechnoGen, Inc. (TGI) is a Minority & Women-Owned Small Business with over 20 years of experience providing end-to-end IT Services and Solutions to the Public and Private sectors. TGI provides highly skilled and certied professionals and has successfully executed more than 345 projects. TechnoGen is committed to helping our clients solve complex problems and achieve their goals, on time and under budget. LinkedIn: https://www.linkedin.com/company/technogeninc/about/ Job Title :Anaplan Model Builder Required Experience :5+ years Location : Hyderabad. JD summary: Key Responsibilities: Model Design & Development Design and build Anaplan models using best practices (DISCO, PLANS) for Planning processes, including statistical forecasting, consensus planning, replenishment, supply planning, allocation and inventory management. Collaborate with business and solution architects to define functional specifications and develop data flows and calculation logic. Develop modules, lists, dashboards, actions, and workflows tailored to user roles and business needs. Data Integration & Validation Support integration of Anaplan with upstream systems (ERP, CRM, BI tools) using ETL tools or APIs. Create and manage data import/export actions, processes, and error-handling routines supporting Anaplan models/apps efficiently. Perform data validation and reconciliation with source systems to ensure accuracy and completeness. Demonstrated experience working with Anaplan data integrations including understanding of Anaplan data integration processes with Google Big Query/Oracle DB/SQL DB. Good knowledge of Google Cloud Platform Tools like Big Query and Composer. Good knowledge on Anaplan integrations using Anaplan bulk and transactional APIs. Other API’s loke Audit, SCIM, Cloudworks would be an added advantage. Knowledge of data governance practices and data management tools would be an added advantage. Leadership & Collaboration Lead and mentor junior model builders and offshore resources in development and quality assurance. Partner with business users and analysts to support UAT, training, and go-live activities. Participate in Agile ceremonies and help maintain sprint planning and task tracking. Maintenance & Optimization Monitor and enhance model performance, scalability, and usability. Apply naming conventions, documentation standards, and version control best practices. Ensure ongoing support and change management for evolving planning needs. Contribute to production support and documenting processes and facilitating enablement sessions to empower stakeholders with the necessary skills and knowledge to utilize Anaplan solutions effectively. Qualifications: Education: Bachelor’s degree in Supply Chain, Engineering, Computer Science, Business, or related field. Experience: 5+ years of Anaplan experience, including hands-on model building in complex supply chain environments. Technical Skills: Proven experience in implementing Anaplan for Demand Planning or Supply Chain Planning use cases. Deep understanding of Anaplan formulas, functions, model optimization techniques, and user access controls. Should be Anaplan L3 certified/Solution architect. Master Anaplanner is highly preferred. Knowledge of Administration, Polaris, Workflow, Anaplan Data Orchestrator would be a significant advantage. Strong grasp of planning processes such as forecasting, demand shaping, and S&OP. Experience with data integration tools (e.g., MuleSoft, SnapLogic, Informatica) is a plus. Leadership Skills: Excellent communication and problem-solving skills. Problem-Solving: Strong analytical and problem-solving abilities, with a proactive approach to addressing challenges. Cultural Awareness: Ability to work effectively in a multicultural and highly dynamic environment and manage teams across different time zones. Must be multi-tasker and able to prioritize and deliver assignments with the highest quality under pressure with short deadline. Preferred Qualifications: Worked on projects using The Anaplan Way or other Agile methodologies. Background in industries like consumer goods, retail, manufacturing, or life sciences. Familiarity with forecasting algorithms and KPIs used in demand and supply planning and S&OP. Experience in Polaris would be a significant advantage Experience with other planning applications such as Blue Yonder/JDA Demand/Supply Planning Eand PL/SQL, Python, Unix, Control-M or batch scripting is highly desired. About Us: We are a leading organization committed to leveraging technology to drive business success. Our team is dedicated to innovation, collaboration, and delivering exceptional results. Join us and be a part of a dynamic and forward-thinking company. How to Apply: Interested candidates are invited to submit their resume and cover letter detailing their relevant experience and qualifications. Best Regards, Syam.M | Sr.IT Recruiter syambabu.m@technogenindia.com www.technogenindia.com | Follow us on LinkedIn

Job Title: Anaplan Solution Architect / Lead Developer Location: Pune / Mumbai / Noida / Gurugram (Hybrid Work Model) Shift Timings: 12:30 PM 9:30 PM Grade: D1 / D2 Industry: Professional Services Experience Required: 35 Years (minimum of 3 Anaplan implementations) Contact : 9045052073 Job Overview: We are seeking a skilled and experienced Anaplan Solution Architect / Lead Developer to join our team. The ideal candidate will be responsible for designing, developing, and implementing Anaplan-based solutions that support incentive compensation management, performance reporting, planning, and budgeting processes. Key Responsibilities: Collaborate with business stakeholders to gather and translate business requirements into scalable Anaplan solutions. Design and build Anaplan models and dashboards. Lead Anaplan architecture design to ensure integration and optimization across new and existing models. Maintain and enhance existing Anaplan models, improving automation and data/process integration. Troubleshoot Anaplan applications and provide ongoing technical/application support. Stay updated on the latest Anaplan features and identify opportunities for process improvements. Collaborate with cross-functional teams including Finance, IT, and Data teams to ensure Anaplan alignment with enterprise systems. Create and maintain technical documentation, including system configurations and development processes. Required Skills & Qualifications: 3–5 years of hands-on Anaplan experience , including a minimum of 3 full-cycle implementations (focus on incentive compensation and revenue models). Strong background in Anaplan architecture and model building. Experience in financial and enterprise performance management (EPM) processes such as incentive compensation, analytics, planning, budgeting, and forecasting. Ability to deliver end-to-end, integrated Anaplan solutions. Proven skills in stakeholder management and process optimization. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Ability to work independently and manage multiple priorities. Anaplan Certification is a plus.

Job Title: Lead Anaplan Model Builder Supply Chain & Demand Planning Location: Hyderabad, Telangana, India (Work from office 4 days/week | US EST Shift) Experience:8-10 Years Krishnanjali.m@technogenindia.com Job Summary: We are looking for an experienced Lead Anaplan Model Builder to design, develop, and implement scalable Anaplan models to support our global Demand and Supply Planning initiatives . This role involves working closely with business and technical teams to deliver forecasting, planning, and scenario analysis solutions. Candidates must be available to work onsite in Hyderabad during US EST hours . Key Responsibilities: Model Design & Development: Build Anaplan models using best practices (DISCO, PLANS methodology). Develop modules, dashboards, actions, and workflows for planning use cases. Translate business requirements into functional Anaplan solutions. Data Integration & Validation: Integrate Anaplan with ERP, CRM, BI tools using APIs or ETL tools. Work with Google BigQuery, Oracle/SQL databases for data validation and flows. Build and manage import/export actions and handle errors effectively. Leadership & Collaboration: Lead junior model builders and offshore teams. Collaborate with architects, analysts, and business users. Support UAT, training, documentation, and go-live activities. Optimization & Support: Monitor and optimize model performance and usability. Apply naming conventions, documentation standards, and version control. Contribute to ongoing support, enhancements, and user enablement. Required Qualifications: Bachelors degree in Supply Chain, Engineering, Computer Science, or Business. 5+ years of Anaplan experience in supply chain/demand planning projects. Anaplan Level 3 Certified / Solution Architect (Required) Proficiency in Anaplan formulas, access controls, optimization techniques. Experience with APIs (bulk, transactional, SCIM), Cloud Works, Big Query, and Composer. Strong understanding of demand forecasting, S&OP, inventory planning. Preferred Qualifications: Master Anaplanner certification is highly desirable. Experience in Polaris, Workflow, and Anaplan Data Orchestrator. Industry experience in consumer goods, manufacturing, life sciences, or retail. Familiarity with tools like Blue Yonder, PL/SQL, Python, Unix, Control-M. Agile methodology experience (The Anaplan Way preferred).

As an AI/ML professional with 4-8 years of experience, your role will involve developing and implementing AI models and pipelines utilizing LLMs to meet business requirements. You will be responsible for designing and deploying machine learning solutions on Azure, ensuring high performance, scalability, and reliability. Using Python for data preprocessing, model development, and experimentation will be a key part of your responsibilities. Moreover, you will play a crucial role in building and integrating REST APIs using Flask to facilitate seamless model access for various applications. Your expertise in containerizing models and applications with Docker will be vital in streamlining deployment processes and enhancing portability. Collaboration with cross-functional teams to comprehend project objectives and develop customized AI solutions will also be a significant aspect of your job. To excel in this role, you should stay abreast of the latest advancements in LLMs and cloud technologies. Optimizing models for accuracy, performance, and inference speed based on real-time data will be essential to drive continuous improvement and innovation. Qualifications for this position include 4-8 years of experience in data science, specifically working with LLMs models in domains such as CPG, Retail, and Supply Chain. Hands-on experience in deploying AI/ML models on Azure and utilizing cloud-based tools is essential. Proficiency in Python for data manipulation, model building, and evaluation is required. Additionally, experience with Dockerization for deploying and managing AI applications, knowledge of Flask for building lightweight APIs, and strong problem-solving skills to translate business challenges into AI solutions are necessary. Good communication skills are vital for effective collaboration with stakeholders and presenting technical results convincingly. A working knowledge of the finance domain is a must for this role.,

1–2 yrs of Anaplan model building experience, Strong in Excel/financial modeling. Ability to gather requirements, build models, and support change management. Understanding of data integration & architecture, Stakeholder Management. Required Candidate profile Anaplan L2 certification is required, Experience in valuations, finance, or software implementation preferred. Should be fluent in English.

Role & responsibilities The role of Auditor involves: Review and assess the model governance, development, validation, documentation, and implementation to evaluate the effectiveness of the scoring, economic capital, rating and other models using statistical, machine learning techniques. Automate audit testing by utilizing a variety of modeling, data analysis, and programming tools. Identifies anomalies, trends, and risks by analyzing large, complex data sets. Ability to evaluate models across multiple functional domains, such as wholesale, retail, fraud, etc. Proficiency with Python/R, SQL Server, SAS, Excel, JIRA, Bitbucket. Opportunity to contribute to one or more areas of audit covering risk function like audit of Credit Risk, Market Risk, Operational Risk, Pillar II, ICAAP, ERM, Fraud Risk as per RBI guidelines. Key Responsibilities Review and assess the model governance, development, validation, documentation, and implementation to evaluate the effectiveness of the scoring, economic capital, and rating models using statistical, machine learning techniques. Drafting of detailed audit reports with assessment details, preparation of supporting workpapers, clearly documenting the observations noted with implications and recommending corrective actions to auditee. Preferred candidate profile A master's degree in Statistics, Mathematics, or related fields. 7 - 12 years of experience in the financial services industry, preferably with model development, validation, model risk audit, data analytics. Understanding of Risk Management processes like Market, Credit , Operational, ALM, Capital adequacy, Fraud is good to have but not essential. Demonstrate good understanding of model risk function. Knowledge of various modelling techniques used in the banking industry. Experienced with various programming languages used in risk modelling. Drafting of detailed audit reports with assessment details, preparation of supporting workpapers, clearly documenting the observations noted with implications and recommending corrective actions to auditee. Coordinating and supporting the Banks compliance team during RBI Audits and other external audits. Good communication (both verbal & written) and inter-personal skills. Ability to work as a part of team and contribute towards team goals.

Educational Requirements MCA,Bachelor of Engineering,BCA Service Line Data & Analytics Unit Responsibilities Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Technical and Professional Requirements: Generative AI, AI/ML, Python, Databricks Preferred Skills: Technology-Machine Learning-Generative AI

Job Responsibilities: Data Collection and Preparation: Collaborate with cross-functional teams, including domain experts, to collect and preprocess relevant data from multiple sources (e.g., healthcare records, financial transactions). Conduct thorough data analysis, cleaning, and feature engineering to transform raw data into usable formats for model development. Ensure data privacy and security compliance when handling sensitive data. Machine Learning Model Development: Design, build, and implement machine learning models tailored to solve specific business challenges Select appropriate datasets and data representation methods for various projects (e.g., time-series data, structured/unstructured data). Experiment with and optimize algorithms (e.g., supervised learning, unsupervised learning, anomaly detection) to improve model accuracy and efficiency. Perform statistical analysis, test different hypotheses, and fine-tune models using test results. Model Optimization and Evaluation: Evaluate model performance using various metrics (accuracy, precision, recall, F1 score, etc.) and apply techniques such as cross-validation, hyperparameter tuning Continuously improve models based on feedback, new data, and evolving business requirements. Ensure models can scale effectively in production environments. Model Deployment and Monitoring: Deploy machine learning models into production using cloud services (AWS, GCP, Azure) or containerized environments (Docker, Kubernetes). Oversee and monitor the performance of models in real-time, ensuring they provide accurate and actionable insights. Implement model retraining and continuous learning processes to maintain performance over time. Research and Innovation: Stay current with the latest developments in machine learning, AI, and relevant technologies by actively researching and experimenting with new algorithms, models, and techniques. Propose and integrate novel approaches into existing workflows to improve model accuracy, efficiency, and scalability. Required Qualifications: Technical Skills: Programming Languages : Proficiency in Python, Java, or R, with strong expertise in Python for machine learning tasks. Machine Learning Frameworks : Familiarity with TensorFlow, PyTorch, Keras, and scikit-learn for developing and optimizing models. Mathematics & Statistics : Strong foundation in linear algebra, calculus, probability, and statistics to understand and apply machine learning algorithms effectively. Big Data Technologies : Experience working with tools like Hadoop, Apache Spark for handling large datasets. Cloud Computing : Hands-on experience with cloud platforms such as AWS, GCP, or Azure for deploying and maintaining machine learning models. Version Control & Deployment : Proficient with version control tools like Git and experience in CI/CD pipelines for model deployment. Domain-Specific Knowledge (Desired): Healthcare/Medical Data : Understanding of medical datasets (e.g., patient records, diagnostic imaging) and how to build models for healthcare applications (e.g., predicting neurological disorders). Financial Data/Fraud Detection : Experience with financial transaction data and building systems for detecting fraudulent activity and financial anomalies (e.g., Anti-Money Laundering models). Soft Skills: Problem-Solving : Strong analytical and problem-solving skills, with the ability to approach challenges in creative and innovative ways. Communication : Excellent written and verbal communication skills, with the ability to explain complex machine learning concepts to non-technical stakeholders. Team Collaboration : Ability to work collaboratively in an interdisciplinary team, sharing knowledge and working towards common goals.

You will need hands-on experience in converting SAS to Python, along with strong mathematics and statistics skills to excel in this role. Additionally, proficiency in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc., is essential. Your ability to comprehend business requirements and derive use cases and solutions from structured/unstructured data will be crucial. Your responsibilities will include converting SAS to Python code, acquiring the necessary skills for building and deploying machine learning models for production, and engaging in feature engineering, exploratory data analysis, pipeline creation, model training, and hyperparameter tuning. You will also be expected to develop and deploy cloud-based applications, such as LLM/GenAI, into production. Proficiency in programming languages like SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras, and expertise in exploratory data analysis, machine learning, deep learning algorithms, model building, hyperparameter tuning, and model performance metrics are required. Knowledge of MLOps, data pipelines, data engineering, statistics, time series modeling, forecasting, image/video analytics, and natural language processing (NLP) will also be advantageous. Experience with ML services from cloud platforms like AWS, GCP, Azure, and Databricks is preferred. Basic knowledge of Databricks and Big Data, including Spark and Hive, is considered an asset. If you are looking to join a dynamic team and work in locations such as Indore, Noida, Gurgaon, Bangalore, or Pune, please share your profiles with details on notice period and compensation.,

As a Data Science Instructor at our dynamic team, you will play a crucial role in preparing students for the evolving data science landscape. Your primary focus will be on delivering immersive and hands-on learning experiences to equip future data professionals with practical skills in SQL, Python, Machine Learning, and real-world project development. Your responsibilities will include developing and conducting engaging lessons and workshops covering core data science topics, with a notable emphasis on SQL and Python programming. You will guide students through foundational machine learning models such as linear regression, logistic regression, decision trees, and random forests, ensuring they comprehend both the theoretical concepts and practical applications. Moreover, you will be tasked with designing and facilitating hands-on projects to help students apply their knowledge effectively and build a robust portfolio of work. Your ability to explain complex technical concepts in a clear and concise manner will be pivotal in making the material accessible to a diverse group of learners. As a mentor, you will provide constructive feedback and guidance to support students in overcoming challenges and enhancing their understanding. Collaboration with our team to continuously enhance and refine our curriculum to ensure its relevance and cutting-edge nature will also be part of your role. To excel in this position, you must have proven experience as a Data Scientist, Machine Learning Engineer, or similar role, backed by a strong portfolio that demonstrates your expertise in Python and machine learning projects. Your proficiency in Python for data analysis, manipulation, and model building, along with practical experience in common machine learning models, is essential. Additionally, your exceptional ability to design and lead hands-on projects that foster practical skill development, coupled with strong communication and presentation skills, will be key in your success. Proficiency in SQL for data querying and management is also required. Preferred qualifications include familiarity with Python libraries like Streamlit, experience with Natural Language Processing (NLP) concepts, exposure to Large Language Models (LLMs) or chatbot development, and prior experience in teaching, mentoring, or training roles. If you are enthusiastic about empowering the next generation of data scientists and possess a proven track record in building and explaining data science projects, we encourage you to reach out to us at hr@ndmit.com. Join us in shaping the future of data science education!,

Job Title Data & AI Telecom Analytics Level 9 - S&C Global Network CMT Management Level:9 Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Data Science, Predictive Analytics, Model building, Model Production, Data Analysis, Data Visualization, Storytelling, Communication, Teamwork Good to have skills: Vertex AI, GEN AI, LLMs, RAGs Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. About Comms & Media practice within Strategy & Consulting: Comms & Media (C&M) is one of the Industry Practices within Accentures S&C Global Network team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the worlds leading wireline, wireless, cable and satellite communications and service providers Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & ResponsibilitiesA Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional & Technical Skills: Overall 5+ years of experience in Data Science & at least 3 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves About Our Company | Accenture Qualification Experience: Minimum 5+ year(s) of experience is required Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI APIs), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy APIs on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAGs and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Masters Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. 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.

Role & responsibilities Expertise in supervised, unsupervised, machine learning, deep learning, reinforcement learning, statistics techniques. Proficiency in Python, PyTorch, TensorFlow. Good to have knowledge of Bayesian inference, probability distribution, hypothesis testing, A/B testing, and time series forecasting. Hands-on experience with feature engineering and hyperparameter tuning. Experience with MLflow, Weights & Biases, DVC (Data Version Control). Ability to track model performance across multiple experiments and datasets. End-to-end ML lifecycle management from Data ingestion, preprocessing, feature engineering, model training, deployment, and monitoring. Expertise in CI/CD for ML, containerization (Docker, Kubernetes), and orchestration (Kubeflow). Good to have experience in automating data labelling and feature stores (Feast). Good to have data processing experience in Spark, Flink, Druid, Nifi. Good to have real-time data streaming in Kafka and other messaging systems Designing and optimizing data pipelines for structured data. Good to have hands-on experience with Pyspark. Strong SQL skills for data extraction, transformation, and query optimization. Atleast one database experience such as NOSQL database. Implementing parallel and distributed ML techniques for large-scale systems. Good to have knowledge of model explainability (SHAP, LIME), bias mitigation, and adversarial robustness. Experience in model drift monitoring. Good to have CUDA for GPU acceleration. Good to have choosing between CPU/GPU for different ML workloads (batch inference on CPU, training on GPU). Good to have scaling deep learning models on multi-GPU. Strong presentation skills, including data storytelling, visualization (Matplotlib, Seaborn, Superset), and report writing. Experience in mentoring data scientists, research associates, and data engineers. Contributions to research papers, patents, or open-source projects.

As a Partner Success Manager at Board, you will play a crucial role in enhancing the customer experience by supporting, developing, and expanding the skills and expertise of our partners. Your primary focus will be on ensuring that the work you do significantly enhances the lives of our partners and, ultimately, our clients. If you possess a systematic approach, align internal, external, and partner organizations seamlessly, and derive satisfaction from driving customer success, then this opportunity is for you. Your Impact: In this role, your responsibilities will include successful onboarding, enablement, and management of partner resources to deploy, drive customer adoption, and maintain the ongoing health of our customers and their Board solutions. You will serve as a key contact for partners, collaborating with Customer Success Managers and the Professional Services team to ensure that our partners have the necessary skills and competencies to support our customers throughout their lifecycle, thereby ensuring a high return on investment for Board. You will also be responsible for handling partner escalations and ensuring partner satisfaction. Strategic Objectives: - Manage a portfolio of partners to maximize their skills and competency on the Board platform. - Grow partners" Board platform and PRIME implementation competency. - Act as the primary contact for partners during the relationship. - Work collaboratively with account teams to execute the account strategy. - Identify sales opportunities and grow partner accounts. - Facilitate connections between partners and various departments within Board. Partner Adoption: - Monitor partner certifications, project experiences, and customer feedback. - Align with partners on their customer Board platform expansion plans. - Support partners in enabling customers to achieve business transformation with Board. - Promote engagement with Board through community usage, user groups, and events. - Educate partners on the Platform Roadmap. - Conduct regular partner check-ins and progress reviews. Implementation: - Ensure successful implementation and service quality in collaboration with partners, Customer Success Managers, and Professional Services teams. - Coach partners in creating a delivery model to support customers" Board journey. - Resolve technical/platform issues and escalations. - Advocate best practices and the use of the Board PRIME implementation methodology. Results: - Measure partner success metrics such as skilled partner resources, completed certifications, successful projects, and customer satisfaction scores. - Safeguard high customer satisfaction and Net Promoter Scores. - Improve partner and customer relationships. Essential Skills: - Partner-first and customer-first mentality. - Proactive attitude and ability to remain calm under pressure. - Strong project and program management experience. - Ability to multitask and prioritize effectively. - Strong communication and problem-solving skills. - Adaptability to change and flexibility. - Proficiency in technology and data handling. - Model building and forecasting experience. Join us at Board International, where we celebrate diversity, inclusion, and belonging. We value all individuals for their unique contributions and are committed to building a diverse and inclusive workforce. Your personal data will be handled in accordance with our Privacy Policy. Apply now to be a part of our innovative and collaborative team!,

Anaplan Senior Model Builder Senior Consultant Kearney - Cervello We are seeking an Anaplan Senior Model Builder to join our growing team. We are looking for someone with a background in consulting who has implemented full end-to-end projects and has hands on experience with Anaplan both functionally and technically. Required Skills 2-3 years experience of successfully implementing Anaplan solutions as a Senior Model Builder on 2 or more Anaplan implementation projects 3-5 years of business consulting/implementation prior experience with on premise systems such as SAP BPC, IBM Cognos TM1, Oracle Hyperion etc Strong expertise and deep understanding of multi-dimensional modeling Expert skills of Excel spreadsheet modeling, macros, pivot tables, formulas, charts, etc Ability to translate current customer spreadsheet models to effective and efficient Anaplan model designs. Design ability to translate complex excel models into scalable (low sparsity) multi-dimensional Anaplan models Strong client facing skills and a successful track record of engagement management Subject matter expertise in Financial Planning & Analysis FP&A / Enterprise Performance Management EPM, Sales Performance Management (Quota / Territory Planning, Incentive Compensation Management), or Sales & Operations Planning S&OP / Integrated Business Planning IBP domains Strong understanding of data/integration both inbound as well as outbound with customer source systems (ERP, CRM, APS, etc.). Experience with standard connectors like Mulesoft highly desired Anaplan Level 1, Level 2, and Level 3 certifications Deep knowledge in 2-3 verticals highly desirable (Energy, Finance, etc) Familiarity with Anaplan Agile methodology Experience leading user acceptance testing Other Skills We are looking for skills in one or more of the following areas: Working in cross-functional team involving technical and functional consultants and the end user Developing solution roadmaps, writing user stories, and articulating solutions to the stakeholders as this role involves discussion at various levels with business stakeholders Technical knowledge, to the extent of troubleshooting and analyzing data Requirements definition, business analysis, design, systems integration, interface design and implementation. Developing functional specifications as well as test plans and tested scenarios using OUM methodology. Team player Excellent communication skills Solid written skills Ability to dive into the details to convert business requirements to actionable items Ability to work efficiently Multi-tasking skills a must Equal Employment Opportunity and Nondiscrimination Cervello, a Kearney Company, prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a persons gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

Anaplan Looking for a world of opportunities and a fulfilling career? We are a creative digital consultancy. We combine leading digital and creative capabilities with the deep industry knowledge and experience Deloitte is known for. That means, our clients can bring us their biggest challenges, knowing we have what it takes to bring a business vision to life. Work youll do - Practitioners will integrate and learn from talented colleagues who have focused around core domains that we may not have had visibility into. - Our move towards integrated solutions demands that everyone adopt a growth mindset and invest in expanding their understanding of what we bring to the marketplace. - Practitioners will be able to develop skills in a Portfolio that represents the unification of the some of the most diverse, globally recognized brands and businesses in the organization—an exciting opportunity for their career development. - Understanding clients’ Sales Management Strategy and transforming them to multidimensional technologies - Articulate design and documentation of requirements to cover business processes - Translate these requirements to enterprise models with associated modules, lists / line items, and calculations as supported by multi-dimensional Anaplan platform - Deliver Planning Solutions which meets their Business requirements in a time efficient manner - Reviewing use cases to conceive and execute proof-of-concept models - Leverage the following hands-on experiences to deliver work - - Anaplan cloud tool - Overall planning knowledge would be an added advantage - Leverage good communication, presentation and articulation skills in both verbal and non-verbal communication - Communicate and collaborate with team members across locations to accomplish project goals - Lead routine conference calls and participate in client-facing meetings, detail action items and follow through on tasks - Leverage knowledge of data preparation activities such as extraction, cleansing, aggregation and data analysis - Generate, validate, publish and deliver reports as per the business requirement - Work on ad hoc reporting requests, maintain data quality of production and ad-hoc reports - Respond to incident and service requests as per the defined SLAs - Work on break-fixes and enhancement requests - Deliver assigned work successfully and on-time with high-quality - Develop documentation for delivered solution - Assist in all phases of testing - The candidate must have good troubleshooting skills and be able to think through issues and problems in a logical manner - Prior experience on client supporting roles and issues identification and debugging would be an added advantage Our Digital Customer team focuses on designing and implementing sales and service experiences, capabilities, and architectures to bring customer strategies to life. Our ambition is to be the best in the world at driving customer transformation through the development of clever commercial strategies, distinctive experiences, and the application of digital technologies. We help make the “creative digital consultancy” real and in doing so, make new markets. The Team The Customer & Marketing Offering Portfolio integrates our most differentiated, globally recognized customer and marketing businesses. It focuses on owning the commercial agenda through growth strategy, enhanced user experiences, and engagement through the entire customer lifecycle. From our core strengths in creative design, to strategy, platforms and solutions, as well as our continued growth through acquisitions, we are specifically positioned to bring fully integrated solutions to our clients. We are all consumers and personal marketers. This reality is what makes the Customer & Marketing Offering Portfolio so exciting. What we deliver in the market each and every day directly impacts who we are as customers. We are able to deliver on outcomes for the very products and services that we have the privilege of engaging with ourselves. Professionals will serve our clients through the following types of work: Sales Excellence & Service Excellence | delivers sales and service strategies and plans, operating model definition, incentive design and implementation, and operations support for digitally-enabled sales, channel, and customer service capabilities Digital Experience | creates engaging omni-channel digital experiences across web, mobile, AR/VR, voice, gesture, IoT, and video Flexible Consumption | the commercial strategy, operating model definition, and capability delivery of subscription/flexible consumption business models Digital Foundry | a flexible, end-to-end delivery model emphasizing innovation and disruption DigitalMix | an integrated set of platforms to enable business re-platforming Qualifications and Experience Required: - A minimum of 6 years of consulting and/or relevant industry experience - Proficiency in writing Anaplan logics and overall knowledge of database concepts - Ability to design and develop reports and dashboards as per business requirement - Experience with various data mining and business intelligence tools, such as Hyerion, SAP BPC, Cognos TM1, Tableau, Microsoft Access - Good understanding of the planning in Sales, Operations & Finance domain - Ability to translate from model-building in Excel to multi-dimensional technologies - Experience participating in AGILE, Waterfall scrum sessions - Understanding of relational database theory - Strong analytical and communication skills - Excellent interpersonal and collaboration skills - Ability to effectively prioritize and execute tasks in a high-pressure environment - Must possess critical thinking, problem solving, and decision-making skills - Professional Qualification- B.E/B.Tech/MCA/MSC/MS

You are a highly skilled and motivated Senior Machine Learning Engineer with over 5 years of experience in ML model development, MLOps pipelines, Python programming, and hands-on exposure to Generative AI technologies. In this role, you will play a key role in designing, developing, and deploying scalable machine learning models and production-grade AI solutions in a collaborative, fast-paced environment. Your responsibilities will include developing and implementing ML models across various domains such as predictive modeling, NLP, and computer vision. You will also be responsible for building and maintaining end-to-end MLOps pipelines for scalable model training, validation, deployment, and monitoring. Working with GenAI frameworks like LangChain, LlamaIndex, or Hugging Face Transformers for building advanced solutions will be a crucial part of your role. Collaboration with data scientists, data engineers, and DevOps teams to operationalize ML solutions is essential. You will need to write clean, efficient, and well-documented Python code for data preprocessing, feature engineering, and model building. Evaluating model performance, iterative improvements based on experimentation and business feedback, ensuring solutions meet performance, reliability, and scalability requirements, participating in code reviews, sprint planning, and design discussions are all key aspects of this role. To be successful in this position, you should have 5+ years of hands-on experience in Machine Learning and Model Development. Strong proficiency in Python and related ML libraries such as scikit-learn, PyTorch, TensorFlow, Pandas, NumPy is required. Experience with MLOps tools like MLflow, Airflow, Kubeflow, SageMaker, or similar is essential. You should have a solid understanding of Generative AI techniques and experience deploying ML models using containerization (Docker), cloud platforms (AWS/GCP/Azure), and CI/CD workflows. Familiarity with version control (Git), agile methodologies, and collaborative development environments is necessary. Excellent problem-solving, debugging, and analytical skills are crucial for this role. Strong communication and collaboration abilities, comfortable working in a hybrid and globally distributed team, are also required. Nice to have skills include experience with LLMOps and tools like Weights & Biases, VectorDBs (e.g., FAISS, Pinecone, Chroma), a background in software engineering or DevOps, exposure to front-end integration for AI applications (e.g., Streamlit, Gradio), and previous experience working in a late-shift or client-aligned shift model. The shift timings for this role are 2:00 PM to 11:00 PM IST (Hybrid Model 2-3 days onsite per week in Chennai office).,

6-10 years experience in data science and ML model development A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution. Solid understanding of regression, classification, and statistical methods Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using TensorBoard) Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud Composer (Apache Airflow) Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD pipelines (GitHub Actions, Cloud Build) Experience with monitoring and maintaining ML models in production, using Vertex AI Model Monitoring and related GCP tools Good to Have Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and Google Agent Development Kit (ADK) Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such as Discovery Engine SDK, Reasoning Engine SDK, and GKE

We’re looking for someone with 4+ years of experience in End-to-End Anaplan Implementation (FP & A), hands-on experience in Anaplan Model Building, and ideally Anaplan Level 3 or Solution Architect certified. Required Candidate profile Candidates who are genuinely interested in relocating to Mumbai can apply at - thak.priyanka@exponent.com.sg

About The Role Kotak Mahindra Bank looking to hire Team Member-Credit Risk LocationBKC, Mumbai "¢ Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS or Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams "¢ Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. "¢ Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. "¢ Ensure reliability, integrity and consistency of reported and underlying data "¢ Build and manage a team of like-minded data analysts and modellers "¢ Between 8 and 12 years of experience in the areas of risk and data analytics particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage. "¢ Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable "¢ Extensive experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. "¢ Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. "¢ Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage

Job description Designing in 3D softwares, preparing CAD Drawings and site management. Should be excellent in creative designing and think and develop out of the box designs Experience with commercial, Hospitality and residential projects Ability to work well with a team and meet deadlines Coordinate project updates using emails, messengers, voice chats & teleconferences. Excellent interpersonal communication skills Call / WhatsApp : 6290682356 Gender:- Male/Female # Experience :- 0-1years as an Architect with Strong knowledge in Architectural design principles, Construction methods, and Project Management practices, Conceptualization and Planning skills, local building codes, safety standards, Rules and regulations. Ability to manage multiple projects. Proficient in AutoCAD, Revit, 3D modelling or similar design software # Qualification :- Diploma /Degree in Architecture from a recognized institution # Job Location :- Currently in Kolkata # Salary :- 8K-10K in hand Duty : 8hrs (3 days in a week) Call / WhatsApp : 6290682356