80 Model Building Jobs - Page 2

Preferred candidate profile Bachelor's Degree or equivalent experience in relevant area 4+ years Anaplan build experience with Anaplan Model Building certification (Certified Model Builder Required; Solution Architect or Master Anaplan Certification Preferred) Experience defining and building out Revenue Forecasting or Sales Planning (Territory & Quota, Sales Capacity, Sales Performance, Commissions modeling etc.) preferred Highly analytical with a passion and curiosity for solving complex problems through data analysis Proven planning skills through previous job experience Have an understanding of project management execution, and have experience with Agile development Strong communication / presentation skills

About The Role - Kotak Mahindra Bank looking to hire Team Member-Credit Risk " 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

Company name: Tier 1 TOP GLOBAL MNC IT company. Location: Bangalore, Pune, ( Hybrid ) As a level in our Consultant/Senior Consultant/Manager youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - We are seeking skilled ML-Ops Manager / Senior Consultants to implement and manage ML-Ops frameworks for various industries. The ideal candidates will have a minimum of 8+ Years (Manager)/4-7 Years of experience (Senior Consultant) in Designing, Implementing, and leading ML-Ops frameworks. In this role, you will be responsible for the deployment, testing, and continuous integration of machine learning models while working with cross-functional teams. Following are the Key requirements: Collaborate with data scientists, developers, and infrastructure teams to ensure seamless integration of machine learning models into production environments. Develop and implement ML-Ops best practices to streamline the end-to-end machine learning lifecycle, from model training and testing to deployment and monitoring. Design, build, and maintain scalable and reliable machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, and deployment. Implement and manage continuous integration and continuous deployment (CI/CD) processes for machine learning models. Monitor the health and performance of deployed models, identifying and addressing issues related to data drift, model degradation, and performance bottlenecks. Automate model retraining and deployment processes to ensure models remain up to date with changing data and requirements. Collaborate with cross-functional teams to ensure data security, compliance, and privacy standards are met throughout the ML-Ops lifecycle. Drive improvements in the machine learning infrastructure by evaluating new tools, technologies, and processes. Participate in on-call rotations to address critical system issues as they arise. Additional Preferred Skills: Consulting/Strategy, Analytics and M&A(SAMA)/AI&Data |Consultant/Senior Consultant/Manager Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) for tracking model performance and system health. Knowledge of machine learning model monitoring and management platforms. Background in distributed computing and parallel processing. Domain expertise in Telecom, Retail / BFSI, Marketing, Life science, Manufacturing etc. Desired qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. Proven experience in deploying and managing machine learning models in production environments. Strong programming skills in languages such as Python, and experience with relevant libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with containerization technologies such as Docker and orchestration platforms like Kubernetes. Proficiency in designing and optimizing data pipelines for large-scale data processing and machine learning. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and services for ML model deployment and management. Experience with version control systems (e.g., Git) and CI/CD tools (e.g., Jenkins, GitLab CI/CD). Strong understanding of DevOps principles and practices, and the ability to collaborate effectively with cross-functional teams. Excellent problem-solving skills and the ability to diagnose and resolve complex technical issues. Strong communication skills, both written and verbal, to effectively convey technical information to non-technical stakeholders.

Description: We are seeking an experienced and highly analytical Anaplan Model Builder / Architect to design and develop scalable Anaplan solutions, particularly in Sales Planning and Sales Performance domains. The ideal candidate will have a solid understanding of end-to-end model building, strong analytical skills, and the ability to work cross-functionally to support finance and operations planning Requirements: Proven track record in Anaplan solution architecture or model building (3+ years preferred). Experience with Sales Forecasting (under Steff), FP&A, Navision ERP, and Blackline for Reconciliation is highly desirable. Numerically literate with a STEM undergraduate degree (Engineering, Mathematics, or related). Experience or exposure to Anaplan extensions like PlanIQ, Optimizer, Workflow, and Polaris is a plus Strong attention to detail, modeling best practices, and end-user experience orientation. Engineering mindset to develop configurable, fault-tolerant model designs. Job Responsibilities: Model Development: Design and build scalable, best-in-class Anaplan models across Finance, Sales, Supply Chain, and Workforce Planning. Stakeholder Collaboration: Work closely with product managers and business analysts to capture requirements and propose practical solutions. User-Centric Design: Deliver intuitive, user-friendly dashboards and workflows focused on adoption and usability. Testing & Documentation: Lead UAT processes, prepare release documentation, and ensure models meet performance and compliance standards. Cross-Team Enablement: Collaborate with go-to-market and professional services teams to enhance model effectiveness and drive platform value. Platform Innovation: Leverage advanced Anaplan capabilities to solve complex planning challenges. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Job Title: Senior Technical Expert OpenAI & Azure AI Solutions Location: India Experience Required: 8–10 years Level: Lead Job Description: We are seeking a highly skilled Senior Technical Expert with deep expertise in OpenAI and Azure AI technologies. The ideal candidate will bring strong experience in AI development, cloud-based solutions, and hands-on work with leading-edge AI tools. This role focuses on designing, implementing, and optimizing GPT-based and Azure integrated AI solutions to meet diverse business requirements. Key Responsibilities AI Solution Development o Develop and optimize AI-powered solutions using GPT models (Azure GPT, ChatGPT). Implement token cost optimization and model performance tuning. Azure AI & VectorDB Expertise o Design and manage AI solutions using Azure AI and VectorDB technologies (Either of these - Milvus, Chroma, Qdrant, Faiss, Pgvector, Pinecode, Azure Search). Leverage Azure services for secure, scalable deployments. Prompt Engineering & Summarization o Apply advanced prompt engineering techniques. Build summarization models for efficient data extraction. Programming & Automation o Build AI pipelines and automation tools using Python. Cross-Functional Collaboration o Partner with data engineers, front-end teams, and DevOps to build and deploy AI solutions end-to-end. Deployment & Integration o Should be aware of use of Kubernetes and Helm Charts for model deployment. Integrate AI models within existing cloud ecosystems. Mandatory Technical Skills: VectorDBs (Either of these - Milvus, Chroma, Qdrant, Faiss, Pgvector, Pinecode, Azure Search) GPT Models: Azure GPT, ChatGPT, Token optimization strategies Python for AI implementation and service integration Prompt engineering and model performance tuning Preferred Secondary Skills ReactJS for front-end integration NodeJS for back-end integration Azure Synapse, Azure Data Bricks for data engineering workflows Kubernetes & Helm for deployment automation Advanced ElasticSearch for optimized data retrieval. Required Soft Skills: Strong analytical and problem-solving mindset Clear communication and cross-team collaboration Proactive approach to deadlines and solution delivery Application Process If you're excited to work at the intersection of AI and cloud technologies and have the experience to deliver business impact through innovation, we encourage you to apply. Join us to be part of a team that’s transforming industries with intelligent, scalable, and forward-thinking AI solutions.

Solution and deliver analytics offerings for the bank to drive revenue or enable cost optimization. Build models, move them to production and maintain/ enhance on an ongoing basis in production. Become an analytics consultant and evangelist within the bank finding analytical solutions to business problems. Position Responsibilities Work closely with the data warehouse team/other business teams to obtain relevant data for implementation. Be comfortable working with structured / unstructured data sources and be conversant to perform secondary research to explore third party data sources to enrich existing data Support the overall digital acquisition strategy by focusing on segmenting/ predicting response rates for leads which are a pre-requisite for improving response rates Create/supervise building of models around channel migration ,cross sell , upsell and support the overall customer engagement strategy Support the implementation of various technology(recommendation engine, campaign management solution, CRM) /data enablers(Creation of data sets ,mart etc) for the analytics practice within the bank Implementation of specific use cases on big data platforms . Essential Graduate (B.E /B.Sc Stats/M.Sc Stats or equivalent) 3+ years in the analytics space Managed diverse stakeholders from various teams, in complex environments Grasp of basic Supervised/ Unsupervised ML algorithms and a demonstrated ability to learn quickly Thorough understanding of banking domain would be a plus point Experience in working with SQL & R/other similar statistical programming languages .Knowledge of other statistical programming languages like Python will be an added advantage Attribute Team player, detail oriented, self-motivated individual Candidate should have a strong understanding of analytical modeling techniques and statistical concepts that are relevant to the application and evaluation of models.

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

What You'll Do: Build and maintain cloud deployment of ML models and surrounding infrastructure Contribute to infrastructure and process improvements for data collection, labeling, model development and deployment Design and implement R&D data engineering solutions for delivery of ML model value from device to cloud, including message payload design, data ingest and database architecture Help prepare and automate builds for device model deployment Assist on projects led by other team members via data processing, programming, monitoring of production applications, etc. Other duties as assigned. What You'll Need: Bachelors degree in Computer Science or equivalent experience 4 to 6 years of experience with a Strong background in MLOps, Python, GNU/Linux CLI Versatile and adaptable engineer who can address evolving needs of team. Strong understanding of data engineering principles and architecture Knowledge of relational database modelling and integration. Experience with NoSQL is helpful. Ability to manage cloud resources and technologies within AWS, including Sage maker, EC2, S3 Experience with software automation tools, e.g., Airflow, Ansible, Terraform, Jenkins Experience with automated unit testing and regression testing methodologies Familiar with Linux software build toolchains and patterns. (e.g., Make, gcc) Experience with source control and tracking (git) Strong teammate who enjoys working in a collaborative, fast-paced team-focused environment

Axtria: -Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. Axtria enables life sciences organizations to transform the product commercialization journey and deliver much-improved healthcare outcomes for patients worldwide. We are acutely aware that our work impacts millions of people and are incredibly passionate about the improvement we can bring to patients lives. Our focus is on delivering solutions that help pharmaceutical, medical device, and diagnostics companies complete the journey from data to insights to action and get superior returns from their investments. As a participant of the United Nations Global Compact, Axtria is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption and taking actions that advance societal goals. Our people are our core strength, and they make us proud of our work; this has helped us grow exponentially and make tremendous strides toward developing great products. It is for the grit, thinking of an entrepreneur, and a family-like environment where each member is valued and treasured that we are growing rapidly. For more information, visit www.axtria.com. Job Title: - Associate Manager/Project Leader Model Building Requisition ID: Job Location: -Gurgaon/Bangalore/Pune/Hyderabad Job Summary: - Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities: - 1. Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib 2. Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) 3. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence 4. Good understanding of any of the cloud platform – AWS, Azure or GCP 5. Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus 6. Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. 7. Should be able to mentor and guide mid to large sized teams under him/her Job Requirements: - 1. Strong experience on Spark with Scala/Python/Java 2. Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment 3. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering 4. Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus Qualification: - - B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college with 3+ years of proven experience in the field of Advanced Analytics or Machine Learning OR - Master’s degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 3+ years of experience Must have Skills: - Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms Breadth of machine learning domain knowledge Experience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc.) Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc.) Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework) Skills that give you an edge: - Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility to relocate to any Axtria office for short and long-term projects Benefit package: -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote Axtria is an equal-opportunity employer that values diversity and inclusiveness in the workplace. Who we are Axtria 14 years journey Axtria, Great Place to Work Life at Axtria Axtria Diversity

NCR is seeking an enthusiastic developer to join Anaplan Team. Having any prior understanding of Sales, Supply Chain, finance and accounting, including budgeting and forecasting will be an add on. The candidate will work closely with corporate and Line of Business users to support business requirements. The candidate will be responsible for developing and maintaining Anaplan Models including putting an accurate reconciliation process at place. The candidate must possess effective communication skills and can track and complete multiple requests with conflicting priorities in a dynamic environment. This position will interface with end users, senior management and cross team interactions. Job Description: Key Areas of Responsibility: Identify broken business processes and problems. Ascertaining and explaining Anaplan's unique ability to solve them. Developing domain-specific solutions, demos, and messaging. Building POC models that are tailored to solve prospects pain-points. Navigating complex prospect environments to facilitate the adoption of the Anaplan solution. Cross-training teammates on solutions expertise. Job Qualifications: Minimum of 3+ yrs exp in Anaplan Aware of Agile Practices & have worked as a part of agile/scrum team. Quick learner & ready to adopt as per changing demands. Plans, designs, and analyzes user requirements for development Have some prior knowledge of developing, Testing, debugging etc. Possess & have experience in Problem Solving skills. Strong communication skills. Anaplan certified Preferred Qualifications Bachelors/Master’s degree in any Computers.

Required Education and Experience 5-8 years relevant work experience Bachelors or Masters in Computer Science Engineering or relevant. A minimum of 4 years working experience developing in Java Interest in working with graphs (n odes and edges) , 3D emulative models , complex software, in a challenging domain Experience in working with Git (B itbucket), SVN or other distributed source control systems Preferred Qualification (Any of the following additional experience are a plus) Software development within various industrial environments like baggage handling, Warehouse Control/Execution software or equivalent Familiarity with the logistic process industry Experienced in working with Atlassian tools (JIRA, Confluence, etc.) or other applications supporting Agile environment Working knowledge of multiple Java IDEs like IntelliJ Experience working with colleagues located in different parts of the world Solid experience with model building, requirements specification, able to turn abstract concepts into model requirements Knowledge-Skills-Abilities (Competencies) Strong analytical and problem-solving skills Strong communication skills (written and verbal) in English Very good interpersonal skills (team player, and enjoys helping the team grow) Able to handle own planning and align with project team and adapt to deadline-shifts with ease Be able to contribute to the onboarding process of additional team members Ability to work in a fast-paced operational environment with competing priorities and multiple stakeholders Strong analytical abilities, and able to put forward recommendations and solutions Fast learner with curiosity and strong inquiry skills Willing to travel occasionally

Greetings From Straive!!! We have an immediate opportunity for Data Scientist!!! !! Immediate to 15 days joiners preferrable!! JD: Role & responsibilities Design, develop, and deploy machine learning models to detect and prevent fraudulent activities, such as Merchant Fraud, transactional fraud, account takeover, and identity theft Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud). Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Preferred candidate profile Bachelor's degree in engineering, technology, computer science or related field. 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. Strong experience in SQL or Python Excellent communication and presentation skills with the ability to convey complex information clearly and concisely. Detail-oriented with a proactive mindset toward problem-solving and risk mitigation. Ability to work collaboratively in a cross-functional team environment. Thanks & Regards Human Resources Straive

Dear Candidates, We have an urgent openings for Anaplan Model Builder- Gurgaon Exp-4 to 8 yrs Location- Gurgaon (only) Np-90 days Shift- General Shift Working Mode-Hybrid J.D. 4-6 years of experience with EPM tools, including 3+ years in Anaplan model build and implementation; Proficiency in Anaplan modeling, including modules, lists, dashboards, and workflows; Experience with Anaplan connect, APIs, and system integrations; Strong understanding of business processes, preferably in financial services, and the ability to translate them into Anaplan solutions; and Excellent communication and collaboration skills, with Level 2/Level 3 Anaplan certification and experience in Scrum teams. Bachelor's degree in a relevant technical discipline.

Your Role and Responsibilities 3+ years of experience in a Data Science, machine learning or a related field. Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems. Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions. Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions. Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail. Required Technical and Professional Expertise Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA 3+ years of Data science experience Strong expertise and deep understanding of machine learning. Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus Exposure to Industry specific (CPG, Manufacturing) use cases is required Strong client-facing skills Must be organized and detail oriented. Excellent communication and interpersonal skills Preferred Technical and Professional Experience Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.). Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.). Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques. Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment. Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.

About the Role: We are looking for a talented Anaplan Modeler to join our team on a contract basis. You will be responsible for designing, developing, and maintaining Anaplan models to support business planning, forecasting, and other analytical processes. This role involves translating business requirements into efficient and scalable Anaplan solutions, collaborating with stakeholders, and ensuring the models meet performance and accuracy standards. Roles and Responsibilities: Must have Modelling experience in ANAPLAN projects, including implementations, upgrades, roll outs and/or support. Comfortable with creating Model, Modules, Lists, Line Items, Subsets, Line-Item Subsets, Usage of Calculation functions and dashboards using best practices. Been introduced or worked with Anaplan Optimizer, Integration methods and ALM within Anaplan. Ability to have direct discussions with clients to understand their needs and then design, develop, maintain and elaborate planning models. Anaplan Certified Model Builder Certification is a plus. Assist to Conduct, Document and Signoff Business Requirement with clients. Assign the User stories and assist in Sprint Planning. Hands on Modelling Experience in ANAPLAN Implementation focused on but not limited to Financial Forecasting, Supply Chain Planning and HR/Sales/Incentive Compensation Management or similar use cases. Strong background and experience in consulting roles focused on Sales Performance Planning / Supply chain / Financial Planning. Familiarity with SCRUM/Agile. Hands on in MS Excel using advanced formulae to develop Mock Ups for clients. Ability to effectively communicate with client team and in client facing roles. Qualifications: Any Bachelors degree in Finance, Accounting, Business, Computer Science, or a related field or MBA Finance. How will DataGrokr support you in your growth: You will be actively encouraged to attain certifications, lead technical workshops and conduct meetups to grow your own technology acumen and personal brand. You will work in a open culture that promotes commitment over compliance, individual responsibility over rules and bringing out the best in everyone

Required Education and Experience 5-8 years relevant work experience Bachelors or Masters in Computer Science Engineering or relevant. A minimum of 4 years working experience developing in Java Interest in working with graphs (nodes and edges), 3D emulative models, complex software, in a challenging domain Experience in working with Git (Bitbucket), SVN or other distributed source control systems Preferred Qualification (Any of the following additional experience are a plus) Software development within various industrial environments like baggage handling, Warehouse Control/Execution software or equivalent Familiarity with the logistic process industry Experienced in working with Atlassian tools (JIRA, Confluence, etc.) or other applications supporting Agile environment Working knowledge of multiple Java IDEs like IntelliJ Experience working with colleagues located in different parts of the world Solid experience with model building, requirements specification, able to turn abstract concepts into model requirements Knowledge-Skills-Abilities (Competencies) Strong analytical and problem-solving skills Strong communication skills (written and verbal) in English Very good interpersonal skills (team player, and enjoys helping the team grow) Able to handle own planning and align with project team and adapt to deadline-shifts with ease Be able to contribute to the onboarding process of additional team members Ability to work in a fast-paced operational environment with competing priorities and multiple stakeholders Strong analytical abilities, and able to put forward recommendations and solutions Fast learner with curiosity and strong inquiry skills Willing to travel occasionally

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary Responsible for designing, developing, and overseeing the implementation of artificial intelligence solutions within an organization. This role involves strategizing the use of AI to solve complex business challenges, ensuring the integration of AI systems with existing infrastructure, and leading initiatives to innovate and improve through AI technologies. Roles & Responsibilities:1. AI architects are responsible for designing data architectures that support the effective deployment of AI models. Involves everything from selecting appropriate data storage technologies, employing efficient data cleansing strategies, and designing data pipelines. 2. Deep understanding of AI and machine learning technologies such as deep learning frameworks, ML algorithms, cognitive computing and natural language processing (NLP) techniques 3. Ensure seamless integration of AI technologies with existing systems and databases, maintaining data integrity and system performance. 4. Continuously evaluate and refine AI systems, ensuring they deliver the desired outcomes and remain up to date with the latest technological advancements. Professional & Technical skills:1. Must have Skills: Knowledge of Agentic AI architecture frameworks including autonomous agents for Simulation in Manufacturing/Engineering. 2. Domain knowledge in areas of Manufacturing Operations - Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science etc., 3. Knowledge of Gen AI, VLM, LLM, Agentic AI, architecture framework including autonomous agents for Simulation in Manufacturing/Engineering. 4. Significant experience in AI, machine learning, and data science, with a proven track record of successful AI implementations. 5. Deep understanding of AI technologies, algorithms, and computational statistics. 6. Proficiency in programming languages commonly used in AI, such as Python, R, and Java. along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). 7. Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI is a must. 8. Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD. Additional Information:1. The candidate should have a minimum of 12-16 years of experience in AI/ML field. 2. A 15 years full-time education is required. 3. This position is based at Bengaluru location. 4. Must have good communications skills and ability to manage team members. Qualification 15 years full time education

Urgent Requirement for Anaplan. Experience:3+ Years Location:Pan India. Must have Anaplan Level 3 model builder certification Must have a Minimum of 3 years of experience as Anaplan model building (at least one completed Anaplan project implementation experience) Experience with direct interaction with clients in collecting business requirements and performing design validation Experience with creating test plans, test cases, and executing test cases Experience with FP&A process preferred Strong communication skills, including documentation, email communication, and creating presentations Strong understanding of the Revenue, Expense, Incentive and Compensation and Headcount planning/forecasting modeling expertise Experience in designing and building Anaplan models and modules to address business planning and forecasting requirements on financial planning and analysis (FP&A) Experience with developing complex calculations, data imports, exports, and integration workflows while adhering to Anaplan best practices.

Purpose: Translate stakeholder requirements into comprehensive Anaplan models, utilising best practice to ensure scalability and efficiency Document model schemas, logic and rules clearly for other model builders, as well as end user processes, instructions and definitions for stakeholders Ensure the ongoing maintenance and governance of Anaplan models, including data integrity and availability, user access, and quality assurance. Provide end user support and issue resolution in a timely and effective manner, working with colleagues with the Anaplan Centre of Excellence to prioritise and address critical bugs and requested enhancements. Key Accountabilities: Designing, implementing and maintaining/optimising Anaplan models in line with best practice (scalable, sustainable, efficient) Provide end user support through change requests, capability uplift to enable self-service, and training support Stay across new developments within the Anaplan platform, including new feature releases, and proactively use your expertise to share knowledge, improve model quality and uplift end user experience Advanced data analysis and modelling, converting analysis into insights and recommendations Develop appropriate materials to communicate and present opportunities for relevant stakeholders Identifying and actively pursuing opportunities to improve capacity planning solutions across the Enterprise Creating requirements, solution design, delivery and functional documentations Conducting discovery sessions, sprint planning, stakeholder engagement, risk management and delivery of outputs within timeframes Essential Requirements Experienced Anaplan model builder - certified Analytical mindset and problem-solving skills Excellent communication, collaborate effectively Continuous learning mindset Risk awareness and governance Ability to work independently and self-manage multiple deadlines Understanding of hybrid agile methodologies Knowledge of other coding languages would be advantageous e.g. Python, SQL Experience in building reporting solutions in Power BI

Role & responsibilities Machine Learning, Data Science, Model Customization [4+ Years] Exp with performing above on cloud services e.g AWS SageMaker and other tools AI/ Gen AI skills: [1 or 2 years] MCP, RAG pipelines, A2A, Agentic / AI Agents Framework Auto Gen, Lang graph, Lang chain, codeless workflow builders etc. Preferred candidate profile Build working POC and prototypes rapidly. Build / integrate AI driven solutions to solve the identified opportunities, challenges. Lead cross functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits. Proposals to executives and business leaders on broad range of technology, strategy and standard, governance for AI. Work on functional design, process design (flow mapping), prototyping, testing, defining support model in collaboration with Engineering and business leaders. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Relevant IT Experience: - 10+ years of relevant IT experience in given technology

What will your day look like? - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation

Responsibilities: * Design, develop, and maintain Anaplan models using best practices * Collaborate with stakeholders on model requirements and testing * Ensure data integrity through proper data management techniques

4+ years of Anaplan model building experience (Anaplan L3 or Solution Architect Certification) Strong technical background in consulting, finance, or software implementation. Expertise in building, troubleshooting complex multidimensional models. Required Candidate profile Exp in stakeholder management. Knowledge of data architecture, cross-platform integration. Exp in Anaplan FP&A Implementation. Strong Communication Skills Apply on - thak.priyanka@exponent.com.sg