52 Model Building Jobs

Jole: Anaplan Solution Architect Location: Office in Navi Mumbai (with frequent travels as required) Job Nature-Full Time Experience : 6+ years of experience in designing and implementing Anaplan solutions, with a focus on FP&A and Supply Chain Planning. . Skills and Qualifications: Certification : Anaplan Certified Solution Architect or Certified Master Anaplanner Degree Bachelor’s degree in Business, Technology or Finance, or a similar analytics related field Experience: Minimum of 5+ years of experience in designing and implementing Anaplan solutions, with a focus on FP&A and Supply Chain Planning. Technical Skills Proficiency in Anaplan model building, including complex multi-dimensional models, data integration using APIs, and model optimization. Strong understanding of financial planning and supply chain processes and the ability to translate them into Anaplan solutions. Experience with Anaplan’s Application Lifecycle Management (ALM) and UX is a plus. Analytical Skills: Great problem-solving abilities, with attention to detail and a passion for data-driven decision-making.

Role Summary: The Senior AIML Research and Development Engineer will lead complex AI/ML projects, mentor junior engineers, and work on cutting-edge research to enhance AI technologies. This role requires expertise in machine learning, algorithm design, and model deployment. You can apply directly using the link below: https://jobs.lever.co/welocalize/a888c55f-ec73-4d27-9174-f1c5fa11d2c7 Tasks and Responsibilities: Lead the development of AI/ML models and solutions for advanced applications. Drive research initiatives focused on optimizing algorithms and methodologies. Oversee the design and implementation of scalable AI systems. Perform advanced data analysis to extract valuable insights for model improvement. Mentor junior engineers and guide them in their technical development. Collaborate with other departments to ensure successful AI integration into products. Requirements: Bachelors degree in Computer Science, AI/ML, or related field (Masters/PhD preferred). 6+ years of experience in AI/ML research and development. Expertise in machine learning frameworks and algorithms. Advanced programming skills in Python, C++, and Java. Experience with deploying models in production environments. Leadership and mentorship experience, with excellent communication skills.

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

Job Description: We are seeking an experienced Data Scientist with expertise in advanced machine learning techniques to join our dynamic team. The ideal candidate will have hands-on experience developing and deploying models using ensemble methods and other cutting-edge ML algorithms, mostly in the US banking domain. Key Responsibilities: Develop and help deploy advanced machine learning models, including ensemble techniques, for customer lifecycle use cases (e.g., prescreen, acquisition, account management, collections, and fraud). Collaborate with cross-functional teams to define, develop, and improve predictive models that drive business decisions. Work with large datasets, utilizing tools like Python and SQL , to extract, clean, and transform data for modeling purposes. Ensure model robustness, interpretability, and scalability within banking environments. Strong problem-solving skills with the ability to handle complex datasets and turn them into actionable insights.

Data Scientist Chennai - Guindy, India Information Technology 17006 Overview Data Scientist job description typically involvescollecting, cleaning, analyzing, and interpreting large datasets to uncover insights and build predictive models.He should use data visualization tools to present findings, make recommendations, and communicate their work to stakeholders. Responsibilities Data Collection and Preparation: Gather data from various sources, clean and preprocess it, and transform it into a usable format for analysis. Data Analysis: Conduct exploratory data analysis (EDA), identify patterns and trends, and use statistical methods to extract meaningful insights. Model Building: Develop and implement machine learning algorithms and predictive models to solve business problems. Data Visualization: Create clear and informative visualizations to present findings and communicate insights to stakeholders. Communication: Clearly communicate findings, recommendations, and the implications of data-driven decisions to both technical and non-technical audiences. Problem Solving: Identify business problems, develop data-driven solutions, and evaluate the effectiveness of proposed solutions. Requirements Programming: Proficiency in languages like Python and R, as well as familiarity with data manipulation libraries (e.g., Pandas, NumPy). Statistics and Probability: A strong foundation in statistical concepts, probability distributions, and hypothesis testing. Machine Learning: Knowledge of various machine learning algorithms, model selection, and evaluation techniques.

Role & responsibilities Preferred candidate profile Bachelor's Degree in Statistics, Mathematics, Financial Engineering, Operations Research, Engineering or related discipline. • 3+ years of Model development and business process architecting using EPM tools • Strong expertise and deep understanding of multi-dimensional modeling • Basic to intermediate knowledge of SQL • Expert skills of Excel spreadsheet modeling, macros, pivot tables, formulas, charts etc. • Strong understanding of data integration • Self-motivated and ability to manage timelines across multiple projects. • Strong interest in structured finance preferred.

Skills: Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn, Sr AI/ML Developer Experience8-10 Years LocationThane / Vikhroli, Mumbai About The Role We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions. Key Responsibilities Model DevelopmentDesign, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance. Data ProcessingWork with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data. Model Analysis and OptimizationAnalyze model performance and fine-tune models to improve accuracy, scalability, and speed. CollaborationWork closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions. Version ControlUtilize Git for version control to ensure proper management and documentation of model code and workflows. Project ManagementParticipate in sprint planning, track progress, and report on key milestones using JIRA. Notebook WorkflowsUse Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results. TensorFlowImplement and deploy deep learning models using TensorFlow, optimizing them for real-world applications. Key Skills ProgrammingStrong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy. Big Data TechnologiesHands-on experience with PySpark, Hadoop, and Hive for managing large datasets. Model DevelopmentExpertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc. Deep LearningFamiliarity with TensorFlow for building and optimizing deep learning models. Version Control and CollaborationProficiency in Git for source control and JIRA for project tracking. Problem-SolvingStrong analytical skills to troubleshoot, debug, and optimize models and workflows. Experience And Qualifications Experience8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques. EducationBachelor's or Master's degree in Computer Science, Data Science, or a related field. KnowledgeDeep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation. Preferred Qualifications Hands-on experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Experience in deploying models into production environments. Show more Show less

Skills: Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn, Sr AI/ML Developer Experience8-10 Years LocationThane / Vikhroli, Mumbai About The Role We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions. Key Responsibilities Model DevelopmentDesign, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance. Data ProcessingWork with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data. Model Analysis and OptimizationAnalyze model performance and fine-tune models to improve accuracy, scalability, and speed. CollaborationWork closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions. Version ControlUtilize Git for version control to ensure proper management and documentation of model code and workflows. Project ManagementParticipate in sprint planning, track progress, and report on key milestones using JIRA. Notebook WorkflowsUse Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results. TensorFlowImplement and deploy deep learning models using TensorFlow, optimizing them for real-world applications. Key Skills ProgrammingStrong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy. Big Data TechnologiesHands-on experience with PySpark, Hadoop, and Hive for managing large datasets. Model DevelopmentExpertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc. Deep LearningFamiliarity with TensorFlow for building and optimizing deep learning models. Version Control and CollaborationProficiency in Git for source control and JIRA for project tracking. Problem-SolvingStrong analytical skills to troubleshoot, debug, and optimize models and workflows. Experience And Qualifications Experience8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques. EducationBachelor's or Master's degree in Computer Science, Data Science, or a related field. KnowledgeDeep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation. Preferred Qualifications Hands-on experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Experience in deploying models into production environments. Show more Show less

Role & responsibilities Anaplan Model Development: Design, develop, and maintain Anaplan models that align with evolving business requirements. Collaboration: Work closely with end users, consultants, and third-party vendors to ensure seamless support and performance of the Anaplan platform. Application Quality: Ensure the high-quality delivery of finance and corporate system applications, meeting performance and reliability standards. Model Optimization: Analyse current model performance and implement enhancements for improved scalability and efficiency. Solution Design: Translate complex business problems into clear, efficient, and scalable modelling solutions. Agile Teamwork: Collaborate with agile, cross-functional, and geographically dispersed teams to drive project success. Sprint Management: Manage and deliver user stories and requirements effectively within agile sprint timelines. Preferred candidate profile 4+ years of Anaplan experience, including 2+ years in Anaplan architecture. Level 3 Anaplan Model Builder certification (Solution Architect preferred) (Certification is mandatory) . 2+ years of experience with data visualization/dashboarding. Hands-on experience in data integration. Strong communication, problem-solving, and prioritization skills. Ability to work independently and collaboratively in a high-paced setting. Understanding of scripting and ETL concepts (preferred).

About the role: We are seeking an Anaplan model builder/Architect who specializes in designing, building, and supporting financial/Sales/Service planning models using the Anaplan platform. In this role, you will join a fast-paced, challenging environment and work on data that help manage sales and service performance. PLEASE NOTE- Candidates who are serving NP/ Immediate Joiner should only apply. This role is a contract base role with permanent WFH What you'll need: •Experience in Anaplan Experience with 2+ years of experience in architecting Anaplan models. •Must have at least Level 3 Anaplan Model Builder certification but preferred Anaplan Solution architect. • 2+ years' experience with data visualization/dashboarding. •Experience in data integration. •Excellent communication and prioritization skills. •Ability to work independently or within a team, proactively, in a fast-paced environment. •Strong desire to improve upon their skills in software development, frameworks, and technologies. •Familiarity with basic data integration scripting concepts and ETL technologies is preferred but not required.

Digital Advisory: GIS Consultant Job Location: Bengaluru/Noida About the Role As a GIS Consultant with WSP you will provide GIS support to multi-disciplinary projects as part of a team of professionals making up the Transformation & Digital Insights service line. Reporting to a Senior GIS Consultant, you will manage and perform analysis on digital data from a variety of sources. Day-to-day tasks could involve GIS data preparation, data management, analysis, and production of mapping in the form of web applications or hardcopy. You will assist in the delivery of project-related tasks to meet budget, deadline, and quality targets and regularly meet or exceed client expectations whilst promoting and marketing our services both internally and externally. Collaboration is key to everything we do as the Transformation & Digital Insights service line, and as such, you should possess strong teamwork and communication skills and be able to explain complex GIS processes and procedures to members of staff and clients with varying knowledge of the capabilities of digital data and software platforms. Innovation is highly desired within the digital space to ensure we stay abreast of the current technological trends and procedures that can add value to the service line. As such, we look for people with a desire to innovate and use their initiative to implement the best solution possible for the current use case. You should be an individual with a keen attention to detail and an appreciation of the importance of quality in everything we produce as the Digital Advisory service line, be this a hardcopy map or a web application served to an end user via ArcGIS Enterprise or Online. Responsibilities Support the Senior GIS Consultant and other members of the team Provide GIS support to all areas of the business as required Assist in developing efficient working practices to provide industry-leading, best-value services to our clients Undertake GIS mapping, analysis, data capture, data management, and geoprocessing Analyse and develop databases Prepare and coordinate work for GIS staff based in the UK and overseas Deliver GIS work on UK projects Liaise with internal and external clients Provide GIS technical mentoring to junior GIS staff Develop and maintain QA on datasets and figures Awareness of Open-Source software and data Work with the GIS team to deliver GIS deliverables to tight deadlines Contribute to the technical development of the GIS team through sharing ideas and innovations To be aware of WSP’s Health and Safety policy Undertake own continuous professional development. Occasional travel to other offices for business development and project meetings Essential Skills Core principles of GIS and GI data management and an ability to apply them, especially with regard to Enterprise Geodatabases ArcGIS Desktop & ArcGIS Pro Analysis Map production Automation ArcGIS Enterprise and ArcGIS Online Knowledge of the licensing structure and integration of the platforms Configuration of existing web applications such as Dashboards, Web Applications or Survey123 Understanding of relational databases and geodatabase design and the ability to deploy them Knowledge of UK GIS datasets both proprietary and open source Some previous experience of GIS project management Identifying innovative solutions to problems and driving the development of these Customer-focused approach to quality and service Self-motivated and to show initiative Proactive approach to developing new skills and keeping up to date with technology The ability to promote the team to clients Able to identify potential to add value by integrating GIS processes and procedures with those of other teams within the Digital Advisory service line, such as Data Analysts Desirable Skills Jira Python SQL Arcade Model Builder ESRI mobile applications An awareness of the architectural configurations that can exist behind ArcGIS Enterprise and Online platform frontends Qualifications A degree or equivalent in a relevant discipline Member of a relevant professional institution Demonstrable experience (3-6 years)

ML Engineers 3-10 yrs Hybrid/ Pune 2 days WFO Time: 2-11 or 10-7 Certifications: Big plus if they are certified ML Engineers. Skills: Python, SQl is a must and need strong exp. certified candidates scikit-learn, tensorflow, pytorch Scientific python libs : Numpy, pandas, pyspark, dask, matplotlib, transformers, plotly Generative AI , Cloud (Azure) - Cloud is for Senior roles Big Data is a huge Plus people who worked with larger sets, for ex: FMCG, retail, telecom, oil and gas upstream/ downstream.

Role Proficiency: Design and develop ML solutions that will enable intelligent experiences and provide value. Collaboratively work with business technology and product teams to understand the product objectives and formulate the ML problem under minimal guidance from Lead II Outcomes: Executes relevant data wrangling activities related to the problem Conduct ML experiments to understand feasibility; building baseline models to solve the business problem Fine tune the baseline model for optimum performance Test Models internally per acceptance criteria from the business Identify areas and techniques to optimize the model based on test results Document relevant artefacts for communicating with the business Work with data scientists to deploy the models. Work with product teams in planning and execution of new product releases. Set OKRs and success steps for self/ team and provide feedback of goals to team members Identify metrics for validating the models and communicate the same in business terms to the product teams. Keep track of the trends and do rapid prototyping to understand the feasibility of utilizing in existing solutions Measures of Outcomes: Selection of right algorithms for the business problems Successful deployment of the model with optimised accuracy for baseline model Number of time project schedule / timelines adhered to Personal and team achievement of quarterly/yearly objectives (OKR Assignments HIG Stretch goals) Number of internal testing observations published and models refined to achieve 100 % business objectives with mentoring from the Lead ML Engineer Number of business metric and corresponding model metrics identified independently or with assistance from product team / ML Specialist Number of areas identified for improving the model using new technologies for product / feature improvements Number of Rapid prototypes using state of the art methods Outputs Expected: Design to deliver Product Objectives: Design ML solutions which are aligned to and achieve product objectives Understand the business requirements; formulate into an ML problem Define data requirements for the model building and model monitoring; working with product managers to get necessary data Define the data requirement for the problem Define the AI scope and metrics from the product and business objectives with guidance from Lead II Identify technology components for Rapid prototype Alignment of Business metrics to Model Metrics Check the validity of the training data and test data requirements from the performance standpoint and take necessary actions Updated on state of art techniques in the area of AI / ML : Perform necessary research to use the latest state of the art techniques to design scalable approaches Explain the relevance of the technologies its pros and cons to the product team to enable appropriate design experiences Skill Examples: Technically strong with the ability to connect the dots Ability to communicate the relevance of technology to the stakeholders in a simple and relatable language Capability in selecting the appropriate techniques based on the data availability and set expectations on the overall functionality of the solutions Ability to understand the limitations of the current technology; defining the AI scope and metrics Curiosity to learn more about new business domains and Technology Innovation An empathetic listener who can give and receive honest thoughtful feedback Knowledge Examples: Expertise in machine learning model building lifecycle Clear understanding of various ML techniques and its appropriate use to business problems A strong background of Statistics and Mathematics Expertise in one of the domains - Computer Vision Language Understanding or structured data Experience in executing collaboratively with engineering design user research teams and business stakeholders Experience with data wrangling techniques preprocessing and post processing requirements for ML solutions Aware of the techniques of validating the quality of the data Experience in identifying the testing criteria to validate the quality of the model output Good knowledge python and deep learning frameworks like Tensorflow Pytorch Caffe Familiar with the machine learning model testing approaches A genuine eagerness to work and learn from a diverse and talented team Additional Comments: Job Description: We are seeking a visionary AI professional to lead the AIOps team within our Intelligent Automation division. The ideal candidate will bring a minimum of 10 years of experience in AI, with deep expertise in ML, Deep Learning, NLP, and Generative AI. The role requires strong technical leadership, R&D focus, and the ability to mentor and lead a team driving cutting-edge AIOps solutions for IT operations management. Responsibilities: - Lead AIOps Research: Drive research and development of AI solutions for AIOps, focusing on predictive maintenance, anomaly detection, incident correlation, and root cause analysis. - Project Leadership: Oversee end-to-end delivery of AIOps AI projects, aligning them with organizational goals and client requirements. - Technical Expertise: Provide expert-level guidance in ML, DL, NLP, and Generative AI technologies to ensure robust and scalable solutions. - Innovation in AIOps: Explore and implement advanced Generative AI, Large Language Models (LLMs), and agentic AI for intelligent automation and IT operations. - Team Leadership: Manage, mentor, and inspire a team of AI researchers, data scientists, and ML engineers, fostering a collaborative and innovative environment. - Collaboration: Partner with cross-functional teams, including product management, engineering, and business stakeholders, to deliver impactful AIOps solutions. - Strategic Vision: Contribute to the development of AIOps strategies and roadmaps, defining milestones and objectives that drive innovation and business value. Qualifications: - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. - At least 10 years of experience in AI, with a focus on ML, DL, NLP, and Generative AI applications. - Proven expertise in AIOps-specific use cases such as predictive maintenance, anomaly detection, and incident management. - Proficiency in ML frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn. - Strong experience with Generative AI and LLMs such as GPT, BERT, or similar transformer models. - Familiarity with MLOps tools, Databricks, and cloud-based AI services from Azure, AWS, and GCP. - Demonstrated team leadership experience, with the ability to manage, mentor, and grow technical teams. - Excellent problem-solving and analytical skills, with a results-oriented mindset. - Exceptional communication skills to effectively collaborate with diverse stakeholders. - Ability to operate in a fast-paced, dynamic environment while maintaining a focus on quality and innovation. Required Skills Artificial Intelligence,Project Leadership,Team leadership

Min exp 3 years in pd. lgd MODELS. IFRS9/ IRB model validation/ development/monitoring exp mandatory Package upto 55 lpa Depends on exp Required Candidate profile Bangalore/Noida location Please send cv's on supreetbakshi@imaginators.co or Call on 7042331616 Please send cv's on email only

Exciting opportunity for a Senior Data Scientist to join a dynamic organization working on advanced AI/ML solutions in the financial services space. The role focuses on model building, credit bureau analytics, and developing strategies using large-scale data. Location: Remote Your Future Employer : A fast-growing AI/ML-led company transforming financial analytics through innovation, technology, and domain expertise. Responsibilities : Building predictive models and machine learning solutions using credit bureau data (D&B, Experian, Equifax, LexisNexis) Handling credit risk and loan strategy analytics projects across the data lifecycle Collaborating with cross-functional teams for deploying scalable data science solutions Mentoring junior data scientists and supporting governance for analytical models Requirements : Masters degree in Computer Science, Statistics, Engineering, or related field 5+ years of experience in data science with focus on credit, lending, or financial analytics Must have hands-on experience working with US commercial or consumer credit bureau data (D&B, LexisNexis, Experian, Equifax) Strong programming skills in Python and SQL; experience with large datasets Proficiency in statistical modeling, data visualization tools (Power BI/Tableau), and cloud platforms (AWS/Azure/GCP) Whats in it for you : Competitive salary and benefits Exposure to high-impact projects in credit analytics and risk Flexible work arrangements and collaborative environment Opportunities for continuous learning and growth

Responsibilities and Expectations Proficient in designing, developing, testing, supporting and deploying of Anaplan Business Planning Models. Strong understanding of comprehensively capturing and documenting customer needs and business strategy and processes Experience in Agile Development Process Ability to comprehensively document user stories and create supporting visuals Proficient with all commonly used syntax and functionalities of Anaplan to build and support complex Anaplan models Understand and implement data model and hierarchies Ability to design UI, dashboards, actions, and workflow. Define and administer user roles and permissions in Anaplan. Designing and developing of testing and maintenance procedures and activities. Create and keep software documentation up to date. Ability to adapt to multiple use cases such as FP&A, S&OP, Workforce Planning, Sales & Quota Planning, ICM and Project Planning Must have successfully contributed in customer facing role for at least in 2 greenfield implementation Ability to perform Project Management role Ability to work under pressure and deliver within tight deadlines Preferred Requirements Motivated learners possessing a professional attitude. Certified Anaplan Model Builder with L1, L2, L3, TAW, and SA certificate. 2-8 years of Anaplan Experience. Successful completion of more than 3 end to end Anaplan implementations will be a plus Strong written and verbal communication skills Ability and desire to be proactive in initiatives and complete the assigned tasks Excellent project management capabilities and leadership skills Prior software implementation and consulting experience of at least 1 - 3 year will be a plus Knowledge of Jira & JQL (Jira Query Language), SQL, Python, BI, Integration, SAP BPC, IBM Cognos TM1, Oracle Hyperion will be added advantage Eligibility Certified Anaplan Model Builder L1, L2, L3, TAW, and SA certificate. B. Engg. / B.Tech / M. Sc. / MCA / Chartered Accountant MBA in Finance / MBA in Operations will be a plus Well versed with advanced MS Excel skills (deep knowledge of formulas, creating automated data frameworks using formulas, power query etc.) Foundational Knowledge on Financial, Supply Chain or Sales Planning Minimum 2 Years of Anaplan Experience Selection Process Interested candidates needs to apply with their detailed resume. Shortlisted candidates will be interviewed through Teams Meet or Call first and then at office in Jaipur / Mumbai / Indore or via Web call. Compensation Compensation to be commensurate with the skill and experience of the candidates. Benefits - Group Health & accidental Insurance for self and immediate dependents - 5 days working - Generous time off & Parental Leaves (Maternity & Paternity Leave) - Various Leaves & Holidays - Hampers & Prizes during various Employee engagement events - Professional Development Opportunities - Opportunity to go abroad (USA, UK, Malaysia, Singapore etc)

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 Experience in stakeholder management. Knowledge of data architecture and cross-platform integration. Mulesoft integration experience is a plus.

Job Purpose Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics. Job Responsibilities(JR) : 6 8 Areas Actionable (4-6) Scorecard Building and Modelling Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Bank’s strategies so as to gain maximum efficiencies. Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates. Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure Formulating data cuts and strategies to assess credit risk for new and existing customers of the Bank. Give feedback to stakeholders to improve the usage of the models Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies To work on various aspects related to automation of scorecards in Analytics domain. Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives Innovation Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money. Any other assignments depending on the needs of the organization Educational Qualifications Key Skills 1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred Excellent problem solving capabilities with strong fundamentals in computer science Strong technical & analytical skills Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms Strong written and verbal communication skills Excellent knowledge of current trends in the field of machine learning/analytics field Experience Required Experience of 2+ years in analytics/predictive modeling/machine learning Experience of 2+ years in Python/R in building as well as deploying scalable analytics based models Exposure to banking preferable Major Stakeholders (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties) Credit Policy Underwriting Process Fraud Control Product Credit Bureaus Third Party Analytics Service Providers IT Legal Information Security

Anaplan Consultant 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 you’ll 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 3 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

Duties and Responsibilities Deliver on collection analytics as a practice and capability - Work with large structured and transactional data to build a robust collection analytics framework across products and across collection life cycle from Current Bucket to write off stage Develop Well-Defined Strategies for Collections of Delinquent Loans - Segmentation, prioritization and effective channel strategy, Forecasting, simulations, building strategies to improve business performance Analyzing the historical data and provide suitable framework to guide the collection team. Analyze data to identify emerging customer trends - Strengthen relationships with existing analytics partners to continue to leverage capabilities Identifying areas of weaknesses, recommending solutions and supporting the collection team to achieve targets Scan environment and be up to date on emerging trends globally on collection analytics and build use cases Analyze current environment & collection trends and provide improvement solutions Collaborate with collection team to understand requirement and come up with solutions to their requirements Effective communication with stakeholders teams, Business partners, IT partners and Senior Management Formulate strategies and plan deliverables to deliver on the operational goals for the function and the team Required Qualifications and Experience Education qualification: MBA Finance/Stats graduates. Min 2 years of experience in medium to large size Bank/NBFCs. Analytics/ Statistics/ Model building experience Relevant, sizeable experience in analytics (using tools like SAS, SQL, R). Familiarity with small and large ticket business support will be a clear advantage. Presentation skills. Knowledge of High Ticket Finance operating environment will be an added advantage Effective verbal and written communication skills Ability to work independently and towards deadlines"

GenAI expertise: Prompt Engineering, Agent based architectures, RAG, Transformer architectures, Fine tuning LLMs, Model optimization techniques, Deployment Strategies for AI models on AWS infrastructure. LangChain or similar frameworks. AWS Bedrock - MANDATORY AND HIGH EXPERTISE API development on AWS: Able to expose APIs in AWS using API gateway, Lambdas, RDS, DynamoDB, Redis, Route 53 etc. AWS CDK or CFT Code Deploy, Code Build Comfortable with handling and processing data from spreadsheets, SQL (RDBMS), other APIs, S3 and data platforms In addition: Solid pedigree in AI/ML Even before the advent of GenAI. Regression, Classification, Clustering, Ensemble Methods, Dimensionality Reduction, Anomaly Detection, etc. Neural networks - ANNs, CNNs, RNNs, LSTM, GRUs,Transformers, GANs, VAEs Reinforcement Learning Solid Math foundation – Linear Algebra, Calculus, Statistics. Python and related ML frameworks like Scikit-learn, TensorFlow, Keras, PyTorch, MXNet, XGBoost, etc. Has implemented multiple real world enterprise AI projects for at least past 8 years. Will need to rapidly prototype proof of concepts Excellent communication and articulation skills – should be able to explain complex technical concepts to senior management. Willing to work late hours (to have a partial day overlap with US PST time zone) Immediate- Serving NP until month end

Qualifications Required: Anaplan Level 1 & Level 2 Certified 3-6 years of experience in Anaplan implementations Hands-on Anaplan experience of building lists, data loading, dashboards/new UX pages and creating complex calculations to cater custom planning Ability to translate Excel based solution to a multi-dimensional Anaplan model Experience interacting with Business Users to understand functional requirements and convert them to technical user stories Must have experience and expertise in Data modeling Data Integration Should have experience of conducting User Acceptance Test, and preparing deliverables such as design documents, test documentation, training materials and administration guides

Function: BCM Data & Advanced Analytics With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Manager/ Assistant Manager, Behavioral Modeler (Development/Validation) In this role, you will be responsible for Development or Validation of Behavioral Models (models in the area of Financial Crime like Fraud or AML, Marketing Campaigns, Adjudication models etc.) for banking and financial institutions. Responsibilities also include staying abreast on modeling policies, crafting whitepapers, and preparing artifacts for model development and validation. Responsibilities You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm as Behavioral Model Development/Validation and Researcher Specialist. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc. You will also be responsible for coordinating with auditors and model development or validation teams to ensure the Enterprise Modeling Governance standards are followed; Your activities will include, but will not be limited to the following: Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding policies and procedures. Assess the quality of the data for model development as well as inputs to the model, providing recommendations to improve the data quality at the source. Developing Machine Learning based models and/or statistical and mathematical models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation. Propose recommendations to improve monitoring systems and capabilities based on identified risk and control gaps. Conducting in-depth research on existing and emerging policies related to behavioral modeling and contributing to the creation of whitepapers. Researching and contributing to artifacts creation as required in a consulting role. Qualifications we seek in you! Minimum qualifications Experience in developing, validating models and risk management of behavioral models (preferably in financial crime like AML or Fraud models, additional expertise in marketing campaign models or adjudication models using machine learning techniques are preferred) Hands-on experience application of AI, ML, Deep Learning techniques (Neural Networks, RNN, CNN, LSTM, Decision Tree, Random Forest, SVM, Naive Bayes etc.) for development of predictive models Statistical modeling experience including regression, time series, Markov TPM, survival techniques etc. Detailed knowledge of data analysis / analytics / mining techniques Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets. Strong scripting and automation experience using SAS/Python/R etc. Master’s degree in a quantitative discipline (Statistics/Economics/Finance/Data Science etc.) Strong client management and communication/presentation skills – written & verbal. Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision. Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units. Strong project management orientation with ability to work under time-sensitive commitments. Lead projects and teams - provide thought leadership, technical guidance, training, and oversight. Preferred qualifications Strong networking, negotiation and influencing skills. Prior experience in financial crime, machine learning models

Job Description: We are seeking an experienced and motivated Anaplan Model Builder / Architect to join our team. The ideal candidate will have a strong background in Anaplan modelling and performance optimization with understanding of business processes, allowing them to design, build, and implement effective Anaplan solutions. Exp : 3yrs to 9 yrs Only immediate Joiner max upto 15 days Location : Hyderabad (Work from Office for all 5 days) Key Responsibilities: Development, and optimization of Anaplan models for Supply Chain and Financial business functions with a focus on efficiency and scalability. Identify performance bottlenecks and inefficient model structures and fine-tune how Anaplan processes data and runs calculations. Follow best practices for Anaplan model design, such as managing the use of sparsity, minimizing circular references, and optimizing the size of modules and lists. Build models for maximum performance using techniques like minimizing the use of lists with large numbers of items, optimizing module calculations, and reducing unnecessary dependencies between modules. Integrate data from various sources into Anaplan using bulk data imports efficiently and minimizing the impact of data loads on model performance Regularly review and optimize Anaplan models for performance and areas of improvement, ensuring efficient processing and quick data retrieval. Design intuitive, user-friendly dashboards and interfaces in Anaplan that meet the needs of end users and provide actionable insights. Perform rigorous testing to ensure the accuracy, reliability, and functionality of Anaplan models. Document model designs, business rules, and key processes for future reference. Required Skills & Qualifications: Engineering degree in computer science, data science, IT or a related field Working with Anaplan as a Model Builder, including hands-on experience in designing and building complex models. Expertise in Anaplan modelling, including developing complex formulas, business rules, and reports. Experience in Anaplan data integration (e.g., loading data using Anaplan Connect, REST APIs, etc.). Strong analytical skills with the ability to understand complex business requirements and translate them into actionable Anaplan models. Advanced Anaplan Model Builder certifications or participation in Anaplan's Advanced Model Performance Optimization Training is a plus Request you to share your details and cv to priyankat@dataflix.com or can connect on 9491621995 Current Company: Over all Exp: Rel Exp in Anaplan: Certification on Anaplan: Current CTC: Expected CTC: Notice Period: Any offer in hand:

Analyze companys Profit & Loss to improve financial performance Monitor and review the books of accounts maintain financial models to support budgeting and forecasting Assist in the preparation of monthly, quarterly, and annual financial reports Health insurance