1576 Predictive Modeling Jobs - Page 25

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Data Scientist Purpose This position will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. In Cotiviti, you will solve some of the most pressing Healthcare issues with access to an expansive library of data including claims, membership and demographics. You will work on building value-oriented, production level machine learning solutions in Healthcare Technology. This position will require applying your knowledge and experience to real world problems and seek to utilize Artificial Intelligence and Machine Learning to reduce healthcare costs and improve health quality and outcomes. Job Responsibilities 1. Engage with customers to identify opportunities to integrate data/insights into decision-making 2. Understand and translate business requirements from internal and external stakeholders into data product and features 3. Processing, cleansing, and verifying the integrity of data used for analysis 4. Conduct exploratory data analysis to verify the initial hypothesis associated with potential AI/ML use cases 5. Prepare your final trained model and develop a validation test set for QA 6. Work with production operations to deploy your model and monitoring model performance 7. Apply statistical methodology to solve business problems; appropriately interprets meaning from results 8. Contribute to data product discovery by developing business case analytics, user stories, conducting exploratory analyses, and prototyping ideas / analytics 9. Prepare project documentation, and conduct end user training 10. Conduct on-demand analyses to support key internal and client-facing deliverables 11. Cultivate and share best practices in structured problem solving and quantitative/qualitative analysis 12. Complete all responsibilities as outlined on annual Performance Plan Attributes And Behaviors 1. Develops and maintains positive working relationships with others 2. Shares ideas and information 3. Assists colleagues unprompted 4. Takes pride in the achievement of team objectives 5. Has credibility with team and senior managers 6. Self-motivated driven to achieve results 7. Works with a sense of urgency 8. High customer service ethic is passionate about meeting customer expectations 9. Keeps pace with change acquires knowledge/skills as the business evolves 10. Handles confidential information with sensitivity 11. Thinks for the benefit of the organization and team 12. Demonstrates independent thinking and comes up with approaches on different aspect of work 13. Is a role model for the team 14. Is a subject matter expert of the associated domain 15. Exhibits behaviors consistent with Cotiviti Values: a. Open b. Customer Driven c. Accountable d. Collaborative Relevant Experience & Educational Requirements 1. Bachelors or Masters degree in data/analytics, computer science, engineering, economics, mathematics or statistics 2. 4+ years’ experience building and deploying Machine learning models 3. 4+ years’ experience in working in Big Data environments 4. Experience in using machine learning tools to develop production strength models including, but not limited to, Python, TensorFlow, Keras, pandas, numpy, scikit-learn 5. Experience in healthcare analytics, consulting, technology/services, product development, or other relevant role will be an advantage 6. Deep understanding of supervised and unsupervised algorithms 7. Experience extracting and transforming source data using SQL, spark, scala, hive, impala 8. Ability to package insights in highly consumable and flexible formats for a variety of audiences 9. Ability to work well independently and with cross-functional, matrixed teams in an agile environment 10. Ability to handle multiple tasks, prioritize and meet deadlines

Key Responsibilities: Machine Learning (ML): Design, build, and deploy ML pipelines for structured and unstructured data. Conduct feature engineering, model selection, and hyperparameter tuning. Evaluate model performance using industry-standard metrics and improve accuracy. Collaborate with data engineering teams to ensure clean and accessible data for model training. Apply supervised, unsupervised, and reinforcement learning techniques as per use case. Natural Language Processing (NLP): Develop NLP pipelines for text classification, sentiment analysis, entity recognition, summarization, etc. Leverage libraries like spaCy, NLTK, Hugging Face Transformers, and Gensim. Preprocess and tokenize large corpora using advanced NLP methods. Implement solutions for multi-lingual, domain-specific text data challenges. Integrate NLP services with applications or workflows. Large Language Models (LLM): Fine-tune and deploy LLMs (e.g., GPT, LLaMA, BERT, Falcon, Mistral) on custom datasets. Use prompt engineering and retrieval augmented generation (RAG) to build intelligent systems. Optimize inference performance and latency for production-level deployment. Stay updated with the latest in GenAI, foundation models, and transformer architectures. Work on use cases like chatbots, question answering, summarization, content generation, and semantic search.

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!

Bumppy Media Pvt Ltd is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

We are looking for a Lead Decisioning Architect who will lead and oversee the design, development, and implementation of complex decisioning strategies using the Pega Decisioning platform (CDH). The Lead Decisioning Architect will enable transformation of business requirements into decisioning artifacts by collaborating with cross-functional teams, leveraging data analytics, and developing advanced adaptive/ predictive models to guide real-time decision-making processes. The Lead Decisioning Architect will also oversee creation of various actions, treatments, engagement and contact policies in Next-Best-Action Designer. The Lead Decisioning Architect is expected to take a leadership role and mentor other Decisioning Architects via regular code and design reviews. RESPONSIBILITIES Take a leadership role in Designing and architecting the Pega Decisioning solutions that align with business objectives, ensuring scalability, performance, and maintainability. 20% Leads the development and implementation of decisioning strategies that leverage machine learning, predictive analytics, and complex business rules to optimize customer interactions and business outcomes. 20% Leads the effort in defining, configuring, and optimizing complex business rules, decision logic, and decision tables within Pega Decisioning to align with business requirements and compliance standards. 20% Leads the development and management of adaptive and predictive models within the Pega Decisioning platform, continually improving accuracy and effectiveness. 15% Oversees the integration of data from various sources, including customer data, transactional data, and external data providers, to enable data-driven decision-making 10% Collaborates with business stakeholders, data scientists, developers, and other teams to ensure successful implementation and continuous optimization of decisioning solutions 5% Oversees the monitoring, analysis and fine-tuning of decisioning strategies to improve efficiency, responsiveness, and overall performance and ensures adherence to regulatory and compliance standards. 5% Creates and maintains comprehensive documentation related to advanced decisioning strategies, models, and configurations 5% MINIMUM REQUIREMENTS The basic requirements needed to be able to successfully perform the duties of the role. EDUCATION: Bachelors FIELD OF STUDY: Information Technology, Business Administration, or related field. EXPERIENCE: 7+ years as a Decisioning Architect or in a similar IT role with a record of successfully designing and implementing advanced decisioning solutions using Pega or a similar platform. KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES: Should resemble the unique requirements for the role. May include more than one of each type. Each requirement should have its own bullet point. Excellent interpersonal skills and the ability to communicate, partner, and collaborate. Dedication to achieving outstanding results. Driven and team-oriented with a demonstrated ability to lead by example. Able to pick up new concepts and technology rapidly; able to explain it to both business & IT stakeholders. Strong expertise in data analysis, machine learning, predictive modeling, and complex business rule development Exceptional problem-solving and analytical skills. Able to work in teams as well as independently. Advanced understanding and knowledge of SQL PREFERRED QUALIFICATIONS Education, experience, and/or skills that would help contribute to success in the role but are not considered required to perform the responsibilities of the job. Nice-to-have qualifications. EDUCATION: Masters or Advanced FIELD OF STUDY: Information Technology, Business Administration, or related field. EXPERIENCE: Experience as a decision architect, with a track record of successfully designing and implementing advanced decisioning solutions using Pega or similar platforms. CERTIFICATION(S): Pega Certified Decisioning Consultant, Pega Certified System Architect KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES: May include more than one of each type. Each preferred qualification should have its own bullet point. Pegas BPM and CRM tools What We Offer We understand the important balance between work and life, fun and professionalism, and corporation verse community. We strive to support your career aspirations and provide the benefits you need to live a more fulfilling life. Our compensation and benefits programs were created with an Employee-First Approach focused on supporting, developing, and recognizing YOU. We offer a wide array of wellness and mental health initiatives, support volunteerism, and environmental efforts, encourage employee education through leadership training, skill-building, and tuition reimbursements, and always strive to provide promotion opportunities from within. All these things are just a small way to show our employees that we recognize their value, we understand what is important to them, and we reward their contributions. About Us Headquartered in the United States, Encore Capital Group (Encore) is a publicly traded international specialty finance company operating in various countries around the globe. Through our businesses - such as Midland Credit Management and Cabot Credit Management - we help consumers to restore their financial health as we further our Mission of creating pathways to economic freedom. Our commitment to building a positive workplace culture and a best-in-class employee experience have earned us accolades including Great Place to Work certifications in many geographies where we operate. If you have a passion for helping others and thrive at a company that values innovation, inclusion and excellence, then Encore Capital Group is the right place for you. Encore Capital Group and all of its subsidiaries are proud to be an equal opportunity employer and are committed to fostering an inclusive and welcoming environment where everyone feels they belong. We encourage candidates from all backgrounds to apply. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status, or any other status protected under applicable law. If you wish to discuss potential accommodations related to applying for

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.

Key Responsibilities: Work closely with Data Engineers and ML Engineers to ensure data readiness and model deployment. Present findings and insights to stakeholders using visualizations and dashboards. Productionization & Monitoring: Assist in transitioning models from development to production. Monitor model drift and performance over time. Data Exploration & Querying: Use Databricks SQL for querying and analysing data. Document data lineage and ensure reproducibility Exploratory Data Analysis (EDA): Use Databricks Notebooks (Python, R) to explore structured and unstructured data. Perform hypothesis testing and statistical profiling. Feature Engineering : Create and manage features using Databricks Feature Store. Transform raw data into meaningful inputs for models. Model Development & Training: for fraud claims identification, loss prediction modelling . Build and train models using MLlib, scikit-learn, TensorFlow, or PyTorch. Utilize Databricks Runtime for ML for optimized performance. Experiment Tracking & Model Evaluation: Track experiments and model metrics using MLflow . Evaluate model performance using cross-validation and business KPIs. Collaboration & Communication: Required Skills : Strong programming in Python or R Proficiency in machine learning algorithms and statistical methods Experience with big data processing using Spark Familiarity with cloud platforms (AWS, Azure, GCP) Excellent communication and storytelling skills Tools & Technologies Used: Databricks Notebooks Apache Spark (via PySpark or SparkR) MLflow (Tracking, Registry, Deployment) Feature Store Delta Lake Databricks SQL Visualization Tools (e.g., matplotlib, seaborn, Power BI)

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back-end software system Fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management * Multitasking, Collaborative Skills Proven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technical Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

5-6 years of experience in record to report or similar area Must have team management experience CRITICAL QUALITIES: Relevant post qualification work-experience of 5 to 6 years mainly in offshore finance GCCs, Manufacturing companies finance teams (MNC companies) In-depth understanding of the Record to Report value stream with relevant experience in management of end to end Record to Report process right from understanding the underlying transaction to understanding its impact on financial statements Exposure to transitioning of accounting processes from overseas sites/locations Expert Knowledge of working on SAP a must. Candidates with SAP Hana experience would be preferred Excellent analytical skills in analysing numbers coming out of various report and understand correlation Prior experience in managing and delivering automation projects. Exposure to Power BI and some data analytics tool would be desirable Attention to detail, effective management and interpersonal skills, professionalism, positive attitude, and willingness to work in a team-oriented environment Excellent oral and written communication in English Leadership and Team building skills. Strong exposure in creating a high performance-driven culture, employee engagement & customer centricity Good understanding of functioning of a typical manufacturing organization and understanding of interlinkages of finance with various departments. Adept in process mapping & documentation. Experienced in redesigning optimal processes (with necessary controls built in) and handling projects. Experience working in a KPI-metrics environment and managing employees in this fashion Proficiency in Microsoft Office applications including Excel, Word and Power point KEY ROLES & RESPONSIBILITIES: Deliver Monthly P&L account analysis and Balance sheet account analysis for critical accounts as identified and mentioned in the Standard Operating Procedures Reply to Site finance queries on the clarifications and further analysis on items called for Deliver cash flow forecasts and compare actuals vs forecasts on a weekly basis Work with other GBSS internal teams to ensure that processes like Bank Reconciliations, Sub ledger reconciliations are delivered as per the Standard operating procedures Work with Site finance teams on preparation of Local Gaap Financial statements Manage the audit deliverables Both Internal and external for various which are in Scope Continually assess opportunities to improve the efficiency and effectiveness of the process with automation as the key driver of performing repetitive tasks Setup governance mechanism(frequency) and the metrics to be reported in consultation with site controllers Proactively identify opportunities which can be transitioned to shared services and setup the execution plan Motivate team members and help them in critical steps and assign stretch goals for enhancing performance Build and maintain strong relationships with business units/sites. Oversee the processing teams communications and interactions with business units/sites to ensure effective and appropriate communication occurs as required. Ensure that systems and procedures are in compliance with company policies and applicable regulations. Consistently review balance sheet accounts in SAP to ensure completeness and maintain cleanliness of the GL accounts by adopting best practices of SAP Ensure that the Standard operating procedures is upto date and all the process changes are updated immediately and signed off by the relevant stakeholders QUALIFICATION: CA/ICWA with ACCA or CIMA Certification preferred

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

Data ScientistWhat you will be doingUnderstand business problems and translate business requirements into technical requirements.Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.Gather requirements and communicate finding in the form of a meaningful story with the stakeholders.Build & implement data models using predictive modelling techniquesInteract with clients and provide support for queries and delivery adoption.Lead and mentor data analysts.What we are looking forApart from your love for data and ability to code even while sleeping you would needthe following.Minimum of 3 years of experience in designing and delivery of data science solutions.You should have successful projects of retail / BFSI / FMCG / Manufacturing / QSR in your kitty to show-off.Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etcDecision Tree, Linear regression, Statistical Modelling, Predictive modellingBachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics

The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazons growth, this role may be well-suited for you. We are seeking a passionate Business Intelligence Engineer I to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREFs cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer I at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Collaborate across a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organizations strategic business objectives Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organizations analytical capabilities Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership 2+ years of experience as a Business Intelligence Engineer or similar role Experience with data visualization using Tableau, Quicksight, or similar tools Understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Bachelors degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Experience in designing and implementing BI architectures and data models Experience collaborating with cross-functional teams to deliver successful BI initiatives

Role . Monitor Portfolio quality trends /Early Warning triggers for Retail Finance / Consumer lending products 2. Perform Portfolio deep-dive to identify emerging trends; contribute towards improving portfolio quality and reducing non-performing loans 3. Analysis and visualization of risk factors using database and analytics tool like Python/SAS, SQL, Power BI, Excel 4. Credit Loss Modelling for the Retail Finance products e.g. Personal Loans, Vehicle loans for ECL Provisioning 5. Maintain credit Models on Basel/IFRS 9 (PD, LGD, EAD) etc. for ECL (Expected Credit Loss) Calculations 6. PD Modelling with Flow rates and Linear Regression, and Vasicek method 7. Develop & maintain Stress Testing Framework - perform Stochastic Stress Testing using Regression, Vasicek, CIR models 8. Perform Stress Testing on material risks in line with RBI guidelines / Basel norms and Stress Testing Policy. 9. Design Guardrails for each product and monitor them for sensing & sending Early Warning Alerts 10. Query large data sets to draw insights from loan portfolio data to detect early warning indicators 11. Extensive data mining to monitor the changes in trends, outlook and review the portfolio quality and performance 12. Perform portfolio analytics Vintage, Water-fall, Through the door analysis etc. 13. Monitor Macro/Micro/High Frequency indicators; keep a close monitoring on movement of these indicators and perform impact assessment.onsibilities Preferred candidate profile Statistical Concepts, Data Science and Machine Learning algorithms, Basel norms/IFRS 9 (PD, LGD, EAD), IND, Regulatory, Financial Concepts

Description: Globallogic is looking for enthusiastic and self-motivated freshers to join our team on a contractual basis. This is an excellent opportunity to gain hands-on experience and build a strong foundation in a professional work environment. Requirements: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written Job Responsibilities: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written 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!

Research Assistant (CADS) Sri Sathya Sai Institute of Higher Learning (SSSIHL) Research Assistant (CADS) The Center of Excellence for Actuarial Data Science (CADS) Advertisement No: SSSIHL/24-25/CADS/ACA/059 13 July 2025 Project Tenure: 1 Year (renewed end of the year) Full-time (Men applicants) ESSENTIAL QUALIFICATIONS & EXPERIENCE Master s degree in M.Sc. / M.Tech. in Computer Science or Data Science or MCA/ M.Sc. in Actuarial Science or B.Sc. in Actuarial Science with a minimum of 2 actuarial exams passed Good academic performance in relevant fields from a recognized University/Institute Research-oriented mindset with a focus on academic excellence Ability to integrate modern learning tools and research methodologies Proficiency in English and ability to mentor students effectively Commitment to SSSIHL s code of conduct and values-based integral education system KEY RESPONSIBILITIES The candidate will be required to carry out the following tasks under the guidance and supervision of the Senior Professor Pallav Kumar Baruah and Adjunct Professor Satya Sai Mudigonda: Data Analysis and Modeling : Develop and implement statistical models to analyze large datasets for actuarial applications. Research and Development : Conduct cutting-edge research in actuarial data science, focusing on risk assessment, predictive modeling, and financial forecasting. Collaboration : Work closely with actuaries, data scientists, and other researchers to integrate data-driven insights into actuarial practices. Publication and Reporting : Publish research findings in reputable journals and present results at conferences and seminars. Mentorship and Guidance : Provide guidance to junior researchers and contribute to the academic growth of the research team. Industry Liaison : Engage with industry stakeholders to translate research outcomes into practical solutions for actuarial challenges. Selected Candidates will be encouraged to register for a Ph.D. in Actuarial Data Science as and when SSSIHL invites applications. HOW TO APPLY SSSIHL/24-25/CADS/ACA/059 STEP 2 Attach your detailed resume (must include details of Ph.D. qualification, NET/SLET/SET or other national level exams passed, teaching/professional experience, roles, and responsibilities in chronological order, list of research publications published in reputed UGC CARE journals and conference presentations & proceedings, list of research projects, significant achievements/recognitions, post-docs and research students guided, Areas of expertise and courses taught at UG/PG level, and at least two references (academic and/or professional) STEP 3 Scanned copies of all certificates/documents related to your educational qualifications and professional experience Applicants desiring to apply for more than one position should submit separate applications for each. SSSIHL reserves the right to reject application forms that are incomplete and not as per specified requirements. SSSIHL reserves the right to call only the requisite number of candidates for an in-person demo and/or interview after shortlisting based on the candidate s suitability for the vacant position. There will be no personal communication with candidates other than those shortlisted for the interview. All applicants are required to ensure that all the information submitted (Resume, Annexure form and documents) is accurate and correct for scrutiny If any application is found to contain information that is inaccurate or false either during the employment process or after the appointment of the candidate, SSSIHL reserves the right to reject the application at any stage or take stringent action on the employee as deemed suitable.

Leadership role in supporting EDAI-CTI-EMEA Ameriprise India team and responsible for leading the advanced data science related work. Work in a matrix organization with data scientists, data engineers and decision science managers, collaborate with cross-functional teams, recommend and implement analytical solutions to support CTI business. Actively participate in strategic planning, project management and hands-on involvement in complex data analysis. - Develop innovative analytical solutions, like segmentation, predictive modeling, simulation modeling, Machine learning, AI/GenAI and optimization - Develop presentation decks and communicate clearly to business leaders in EMEA, US and India - Work with data strategy to ensure data quality and curated data tables that feed in analytical models - Participate in Center of Excellence (CoE), provide guidance across Ameriprise businesses - Demonstrate thought leadership in solving complex business problems - Monitor execution of analytical solutions, offer course correction guidance as needed - Identify business needs and engage senior leaders in EMEA to provide analytical support for business problems. Build business relationships and create presence for EDAI in EMEA

Responsibilities: *Analyze large database using Python & SQL. * Design, Develop and evaluate machine learning modules. * Collaborate on project delivery within timelines. * Present findings through clear documentation. Food allowance

About Straive:- Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services : Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straives multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Designation: Data Scientist-Customer Analytics Job Location: Remote Qualifications: BE/ BTech/ ME/ MTech/ MSc Statistics Years of Experience: 5 to 8 years Role and Responsibilities: Marketing & Customer Analytics: Provide processes to measure, manage, and analyze marketing activities. Offer actionable insights and recommendations to optimize marketing ROI and performance efficiency. Use customer behavior data for market segmentation, predictive analytics, direct marketing, site selection, and customer relationship management. Data Science and Analysis: Apply scientific methods, processes, and systems to extract knowledge or insights from various forms of data (structured and unstructured). Employ multivariate statistical techniques such as regression, classification, and segmentation to analyze data. Machine Learning: Design, build, and deploy machine learning models focused on customer behavior, segmentation, churn prediction, recommendation systems, and lifetime value estimation. Collaborate with cross-functional teams (marketing, product, engineering) to identify business challenges and provide data-driven solutions. leverage machine learning techniques to extract insights from customer data, develop predictive models, and drive data-informed decision-making to improve customer engagement, retention, and lifetime value. Required Skills and Expertise: Proficiency in programming languages commonly used in data science such as SQL, Python R and Visualization tools like Power BI, Tableau etc. In-depth knowledge of multivariate statistical techniques, including regression, classification, and segmentation. Ability to analyze and interpret complex data sets. Expertise in handling structured and unstructured data. Skilled in SQL querying with data extraction, transformation, and loading (ETL) processes. Understanding of marketing metrics and the ability to analyze marketing activities. Experience in Consumer Analytics, Customer Analytics or Marketing Analytics working in CPG, FMCG industry would be an added advantage. Experience in providing insights for optimizing marketing strategies and operations. Ability to work effectively within a team, particularly in interdisciplinary settings. Experience in managing projects and delivering results within specified timelines. Strong analytical and problem-solving skills to address complex business and technical challenges. “Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.

Team Lead --> --> Location, Designation --> LocationGurugram DesignationTeam Lead Experience6 - 10 Years Exp Range6-8 years Key Responsibilities: Design, develop, and optimize WiFi solutions with a focus on WiFi 6 features and enhancements. Conduct in-depth tuning and optimization of RF parameters to ensure peak performance and reliability. Work on advanced networking protocols and configurations to support seamless connectivity. Collaborate with cross-functional teams to integrate WiFi features into larger systems. Analyze and resolve complex WiFi performance issues, including RF interference, coverage gaps, and capacity challenges. Contribute to the development of test frameworks and tools for WiFi validation. Required Skills and Experience: Proven expertise in WiFi technologies, including detailed knowledge of WiFi 6 (802.11ax) feature sets such as OFDMA, MU-MIMO, TWT, and BSS Coloring. Strong understanding of RF principles, parameter tuning, and optimization techniques. Solid experience in Linux-based development, including scripting, driver-level programming, and debugging. Strong background in networking protocols (e.g., TCP/IP, DHCP, DNS, routing, and switching). Familiarity with WiFi standards, certifications, and regulatory compliance. Familiarity with mesh networking and multi-AP coordination. Knowledge of network security protocols such as WPA3. Experience with performance tuning tools (e.g., iperf, Wireshark) and RF analysis tools (e.g., spectrum analyzers). Feel Free To Contact Us...!!! Submit

Overview Agnik, is a global connected car technology company ( www.agnik.com ) operating in 38 countries headquartered in USA with major consumer brands like Vyncs ( https://www.vyncs.com ) and several B2B products. Agnik is looking for several full-time members of its Technical Team for Distributed Data Science and Machine Learning. If you want to join a top notch technical team that develops novel algorithms/systems and very well familiar with statistics, machine learning, image analysis, and distributed systems then send a copy of your complete resume to jobs@agnik.com with a subject line Technical Team Member -- Distributed Data Science & Machine Learning . Responsibilities As an employee of Agnik s Distributed Data Science & Machine Learning Technical team Member, the primary focus of this position would be to design, develop, and implement novel data analysis and machine learning algorithms for connected car and mobility applications. Successful candidates must be knowledgeable and passionate about latest developments in field of machine learning and data science, should be a hands on developer. The position does not require extensive travel. Duties Include Develop real-time and off-line data analysis and machine learning algorithms/systems for embedded systems, mobile platforms, and cloud-based distributed environments. Dealing with big data management problems in real-time applications. Writing and reviewing code using Java/C#/C language for embedded and in-cloud environments for predictive modeling, control, and scene analysis. Developing geo-spatial data management and analysis software. Required Qualifications B.Tech/BS/M.Tech/MS/PhD. from a reputed University in Computer Science, Electrical/Electronic engineering (or other engineering/Science) with relevant experience. 1 5 years of experience in building data analysis, signal processing, and machine learning applications using Java/C/Python language, web-services in dot net environment, relational/non-relational databases, and developing distributed systems. Ability to communicate in fluent English. Effective communications skills and strong interpersonal skills, both orally and in written form. Distributed data management environments such as Hadoop and Spark. Ability to juggle multiple projects simultaneously. Attention to details, ability to prioritize and meet aggressive deadlines. Salary Commensurate with qualifications. Benefits, possible overseas trip.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role In this role you will play a key role in We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Your Profile Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objective Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Project Role : Decision Science Practitioner Project Role Description : Use domain and industry expertise to design and deliver AI-based decision-making frameworks and models for business outcomes. Must have skills : Value Engineering (VE) Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :You will play a strategic leadership role in helping us to continuously improve our products and customer experience with your strong problem-solving ability, communication, people management capabilities and your domain expertise. Roles & Responsibilities:Your success will be measured on 3 dimensions namely people, customer, business On customer front you will be responsible for Implementing methodologies to contextualize complex processes Abstract the problem statement with the objective function Be the key touch point and manage all customer presentations Define success metrics and scope the project clearly Manage technical delivery and mitigate risks on time Engage with customer continuously and ensure success On people front you will be responsible for Build a champion team and create a culture of excellence Empower the team and delegate with confidence Engage in open discussions and give constructive feedback Ensure employee retention On Business front you will be responsible for Maximize the gross margin of projects getting executed Mine existing accounts through change requests, new projects etc Identify replication possibilities to expand revenue base Develop partnership for GTM and Co-sell Professional & Technical Skills: - Minimum 10 years of total experience with recent & relevant experience of at least 3 years related to process data analysis - Should have strong analytical capability and understanding of operations data landscape. Solid understanding of Statistics, Process Control, optimization techniques and Artificial Intelligence algorithms. Hands On experience in solving real-world process optimization problems. Experience in any one Industry vertical like Oil & Gas, Process Chemical, Metal Processing, Food and Beverages, Pharma would be important. Experience with customer handling - Familiarity with agile methodology of project execution Desired Characteristics:- Strong oral and written communication skills - Strong interpersonal and leadership skills - Ability to influence others and lead small teams - Lead initiatives of moderate scope and impact - Ability to coordinate several projects simultaneously - Effective problem identification and solution skills - Proven analytical and organizational ability Additional Information:- The candidate should have a minimum of 14 years of experience in Value Engineering (VE).- The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions.- This position is based at our Bengaluru office. Qualification BE

Summary: We are seeking a highly skilled and experienced Data Analyst to join our Data Services department. The ideal candidate will have at least 7 years of experience in data analysis and a strong background in statistical analysis, data mining, and data visualization. The Data Analyst will be responsible for interpreting data, analyzing results, and providing insights to drive business decisions. Roles and Responsibilities: - Collect and analyze data from various sources to identify trends and patterns - Develop and implement data models and algorithms to optimize data processing - Create visualizations and reports to communicate findings to stakeholders - Collaborate with cross-functional teams to understand business needs and provide data-driven solutions - Identify opportunities for process improvement and automation - Stay current with industry trends and best practices in data analysis Qualifications: - Bachelor's degree in Computer Science, Statistics, Mathematics, or related field - Minimum of 7 years of experience in data analysis - Proficiency in SQL, Python, R, or other programming languages - Strong analytical and problem-solving skills - Excellent communication and presentation abilities - Experience with data visualization tools such as Tableau or Power BI - Knowledge of machine learning techniques is a plus

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : Accenture Delivery Methods (ADM)Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with teams, making team decisions, and providing solutions to problems for your immediate team and across multiple teams. You will engage with multiple teams and contribute to key decisions, ensuring the successful performance of the team. With your expertise in SAP Master Data Governance MDG Tool, you will play a crucial role in developing and implementing applications. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Design, build, and configure applications to meet business process and application requirements- Ensure the successful performance of the team- Develop and implement applications Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool- Good To Have Skills: Experience with Accenture Delivery Methods (ADM)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP Master Data Governance MDG Tool- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education