35 Predictive Models Jobs

You will be responsible for utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. You will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. **Key Responsibilities:** - Utilize your deep understanding of the retail industry to design AI solutions that address critical retail business needs. - Gather and clean data from various retail sources like sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms like classification, clustering, regression, and deep learning to enhance predictive models. - Use AI-driven techniques for personalization, demand forecasting, and fraud detection. - Utilize advanced statistical methods to optimize existing use cases and build new products. - Stay updated on the latest trends in data science and retail technology. - Collaborate with executives, product managers, and marketing teams to translate insights into business actions. **Qualifications Required:** - Strong analytical and statistical skills. - Expertise in machine learning and AI. - Experience with retail-specific datasets and KPIs. - Proficiency in data visualization and reporting tools. - Ability to work with large datasets and complex data structures. - Strong communication skills to interact with both technical and non-technical stakeholders. - A solid understanding of the retail business and consumer behavior. - Programming Languages: Python, R, SQL, Scala - Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras - Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn - Big Data Technologies: Hadoop, Spark, AWS, Google Cloud - Databases: SQL, NoSQL (MongoDB, Cassandra) You will need a minimum of 3 years of experience and a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field to qualify for this position.,

The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Key Responsibilities: - Utilize deep understanding of the retail industry to design AI solutions for critical business needs. - Gather and clean data from various retail sources like sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms for classification, clustering, regression, and deep learning to enhance predictive models. - Utilize AI-driven techniques for personalization, demand forecasting, and fraud detection. - Implement advanced statistical methods to optimize existing use cases and develop new products. - Stay informed about the latest trends in data science and retail technology. - Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional Skills: - Strong analytical and statistical skills. - Expertise in machine learning and AI. - Experience with retail-specific datasets and KPIs. - Proficiency in data visualization and reporting tools. - Ability to work with large datasets and complex data structures. - Strong communication skills for interaction with technical and non-technical stakeholders. - Solid understanding of the retail business and consumer behavior. Technical Skills: - Programming Languages: Python, R, SQL, Scala - Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras - Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn - Big Data Technologies: Hadoop, Spark, AWS, Google Cloud - Databases: SQL, NoSQL (MongoDB, Cassandra) Minimum Qualifications: - Experience: Minimum 3 years of relevant experience. - Educational Qualification: Bachelors or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. Location: Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must-Have Skills: - Solid understanding of retail industry dynamics and key performance indicators. - Ability to communicate complex data insights to non-technical stakeholders. - Meticulous in ensuring data quality and consistency. - Proficiency in Python for data manipulation, statistical analysis, and machine learning. - Experience with supervised and unsupervised learning algorithms. - Use advanced analytics to optimize pricing strategies based on market demand. Good-to-Have Skills: - Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms. - Experience with ETL processes and tools like Apache Airflow. - Familiarity with designing scalable and efficient data pipelines and architecture. - Experience with data visualization tools like Tableau, Power BI, Matplotlib, and Seaborn.,

KiE Square is a leading AIML Company that provides advanced Data Science/Data Engineering Solutions to its clients and drives their Business Intelligence Transformation. We invite you to join our Core Team of Data Scientists, Data Engineers, and AIML Developers who have a sharp analytical bent, have delivered multiple high-value projects while handling large datasets, and have built Predictive Models with a natural ability to take responsibility. In this role, you will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Collaborate with senior data scientists and business stakeholders to understand project requirements and define analytical objectives. Conduct exploratory data analysis to uncover hidden patterns and correlations. Develop and implement machine learning algorithms to solve complex business problems. Evaluate and interpret model results, and present findings to stakeholders in a clear and concise manner. Continuously monitor and refine models to ensure accuracy and effectiveness. Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence. Strong background in machine learning, statistics, and time series forecasting. Proficiency in programming languages such as Python and experience with machine learning frameworks. Ability to work cross-functionally and communicate complex technical concepts to non-technical stakeholders. Experience with large-scale data analysis and building scalable forecasting models. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Strong understanding of statistical concepts and data analysis techniques. Proficiency in programming languages such as Python or R. Experience with data manipulation and analysis using SQL and/or NoSQL databases. Familiarity with data visualization tools, such as Tableau or Power BI. Knowledge of machine learning algorithms and techniques. Ability to work both independently and collaboratively in a fast-paced environment. Strong communication skills to effectively present findings and insights to non-technical stakeholders. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of natural language processing (NLP) techniques. (ref:hirist.tech),

As a Data Operations Senior Associate, you will play a crucial role in decoding complex data patterns and creating impactful dashboards within our visionary team. Your responsibilities will include conducting independent analysis to uncover innovative insights, ensuring data integrity, defining requirements, and performing comprehensive analyses across multiple applications. Your technical expertise will be instrumental in supporting the design and development of metrics reporting and dashboards that align with the strategic objectives of Operations Management. Your primary job responsibilities will revolve around contributing valuable insights and solutions to inform business strategies, evaluating information for analysis and reporting purposes, optimizing solutions, and developing predictive models. You will also be tasked with structuring datasets, building graphical visualizations, and programming decision-support dashboards to enhance operational efficiency and risk mitigation. To excel in this role, you should possess at least 5 years of experience in data-driven problem-solving, along with a proven ability to analyze complex data and draw accurate conclusions. Proficiency in Microsoft Office suite, Tableau, and experience in developing predictive models are essential requirements. Additionally, having a Bachelor's degree, knowledge of query writing, and certifications in Data Technology or Agile would be advantageous. Join us in this exciting opportunity to leverage your skills and expertise in data operations to drive transformative insights and contribute to the success of our organization.,

As the Head of Data at our Bengaluru (Bellandur) location, you will be responsible for leading the design, development, and optimization of ETL/ELT pipelines to process structured and unstructured data. You will play a key role in maintaining a modern data warehouse/lakehouse architecture, implementing data partitioning, indexing, and performance tuning strategies, and ensuring robust cataloging, data quality rules, validation checks, and monitoring systems are in place. Additionally, you will define appropriate data privacy and security guidelines and take ownership of business metrics from extracting and exploring data to evaluating methods and results rigorously. Collaborating with stakeholders, you will define and implement key business metrics, establish real-time monitoring for critical KPIs, and build and maintain BI dashboards automation with consistency and accuracy in reporting. Your role will involve performing A/B testing, generating and validating business hypotheses, designing analytical frameworks for product funnels and biz ops, and empowering business teams with self-service reporting and data crunching. Furthermore, you will be responsible for building predictive models such as churn prediction, demand forecasting, route planning, and fraud detection. Developing Advanced ML solutions like recommendation systems, image processing, and Gen AI applications will be part of your responsibilities. You will deploy machine learning models into production, monitor models, update them, and ensure proper documentation. In collaboration with product managers, engineering, risk, marketing, and finance teams, you will align analytics with business goals. Building and mentoring a high-performing analytics team, defining the analytics vision and strategy, and translating it into actionable roadmaps and team initiatives will be crucial. Presenting actionable insights to senior executives and stakeholders, solving ambiguous problems through a structured framework, and executing high-impact work are key aspects of this role. To qualify for this position, you should have 10-12 years of experience with at least 6 years in delivering analytical solutions in B2C consumer internet companies. A Bachelor's Degree in a data-related field such as Industrial Engineering, Statistics, Economics, Math, Computer Science, or Business is required. Strong expertise in Python, R, TensorFlow, PyTorch, and Scikit-learn, as well as hands-on experience with AWS, GCP, or Azure for ML deployment, is essential. Proven experience in Power BI report development, ETL pipelines, data modeling, and distributed systems is also necessary. Expertise in supply chain processes and demand forecasting, along with skills in time series models and regression analysis, will be beneficial. Strong documentation skills and the ability to explain complex technical concepts to non-technical personnel are also required for this role.,

Job Description : ROLE PROFILE Job Title: Martech Solution Architecture - Analytics & AI Lead Location: INDIA or UK (London) Reports To: Head of Martech Solution Architecture & Enterprise Integration Department Marketing CDT Context/Scope: Diageo is the world's leading premium drinks company, a business built on the principles and foundations laid by the giants of our industry. Arthur Guinness, Alexander Walker, and many other dedicated people that followed in their footsteps, cared deeply about the people and businesses they fostered, and the communities in which they operated. Today we stand on the shoulders of these giants and act with the same entrepreneurial spirit. We are a spirited company born of an incredible entrepreneurial legacy. The success of Guinness, Smirnoff, Johnnie Walker, Tanqueray, Baileys and many more brands led to the formation of our company in 1997. And we only thrive today because of the talent of our people to grow our brands, old and new, and keep them strong. Our purpose, celebrating life, every day, everywhere means that our brands are part of celebrations big and small. We believe that living our purpose in full is to make the most of life - to be the best you can be at work, at home, with friends, in the community, and for the community. In CDT, our objective is to provide world-class consumer experiences that drive brand & business growth - whilst doing so in the most efficient and sustainable way. We have stood-up 5 engines, supported by a transversal MarTech Transformation Office, to scale these outcomes in repeatable way - consistent technology, capabilities and operating models across marketing disciplines. We strive to create global tools to support markets and brands to deliver their shape of A&P in a productive manner. Financial - Indirect management responsibility for optimising cost of Analytics & AI technologies used across CDT, while maximising long-term value delivery in line with Martech strategy. Market Complexity - Global span Leadership Responsibilities & capabilities Large matrix team leadership across domain Product Leads, Tech Leads and SMEs (10) 1-2 CDT senior stakeholders Engine Directors 3-5 D&T senior stakeholders Consumer & Customer EA, other EAs and domain specific stakeholders Purpose of Role The Martech Solution Architecture - Analytics & AI Lead ensures that Diageo's marketing and consumer analytics technologies are architected to be secure, scalable, and innovative, enabling actionable insights, decision intelligence, and performance optimisation. This role drives architecture excellence across analytics domains including Consumer Planning and Insights, Digital Pulse of Consumer, Marketing Effectiveness and Media Optimisation, Experiential, Consumer Engagement, Commerce Experience, Digital Monitoring and Performance. They will also lead the design and implementation of AI and GenAI solution architectures across all Martech domains, ensuring consistency, compliance, and forward-looking innovation. Top Accountabilities Technology Roadmaps, Architecture & Design Define and maintain domain-specific architecture roadmaps across analytics and AI, aligned with business priorities and enterprise standards. Lead the definition and documentation of architecture supporting advanced analytics, real-time dashboards, marketing KPIs, and predictive models. Translate business and marketing requirements into AI/analytics architecture patterns, technical solutions, and implementation blueprints. Develop architecture patterns and reference implementations for responsible, compliant and scalable AI and GenAI use cases across Martech. . System Integration & Data Flows Architect data pipelines and models across Martech domains and enterprise systems to enable real-time insights, experimentation and performance tracking. Collaborate with data engineering teams to deliver a connected view of the consumer and marketing activity across platforms. Tool Evaluation & Stack Rationalization Evaluate and recommend analytics platforms (BI, experimentation, customer intelligence) and AI solutions with fit-for-purpose capabilities. Maintain strategic relationships with key analytics/AI vendors, contributing to their product roadmaps. Identify opportunities to consolidate or sunset legacy tools and reduce stack complexity. Governance, Privacy & Compliance Implement AI ethics, data privacy, and responsible use frameworks across AI/analytics solutions. Partner with Legal, Security and Compliance to ensure adherence to data protection regulations (e.g., GDPR, CCPA). Cross-Functional Collaboration Partner with Product, Data Science, Media, Insights, and Martech Platform teams to align architecture with business outcomes. Work closely with Enterprise Architects to ensure analytics/AI solutions fit into the broader technology strategy Performance Optimization & Scalability Design for data scale, system performance and latency minimisation across analytical workflows. Monitor system health and implement continuous optimisation across AI and analytics pipelines. Documentation & Knowledge Sharing Produce and maintain architectural documentation, data flows, AI models architecture, and compliance controls. Share best practices across teams and coach domain architects in AI and analytics technologies. Qualifications and Experience Required 10+ years of experience in IT, data, or software engineering, including 5+ years in analytics and AI architecture roles. Strong background in consumer and marketing analytics technologies, data platforms, and experience with experimentation platforms. Hands-on experience with AI/ML, including GenAI architecture, LLMs, prompt engineering frameworks, and MLOps practices. Proven leadership in designing and scaling data-driven solutions across global, matrixed organisations. Strong stakeholder engagement skills, with the ability to translate complex technical concepts to non-technical audiences. Barriers to Success in Role Success is seen as: A scalable, secure, and performant analytics and AI architecture aligned with strategic goals. Increased marketing agility and decision making through robust insights and predictive intelligence. Consistent implementation of responsible AI and GenAI practices across domains. Consolidation of analytics tools and reduction of technical debt. Effective partnerships with Product, D&T, Data Science, and Insights functions to unlock business value from data. Diversity statement: Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this. We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more. Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world. Feel inspired Then this may be the opportunity for you. Worker Type : Regular Primary Location: Bangalore Karle Town SEZ Additional Locations : 1HQ Job Posting Start Date : 2025-06-24

Chargebee is seeking a visionary and hands-on Director of Data Analytics, Science & AI Enablement to lead the creation and growth of a data function that powers enterprise-wide AI initiatives. You will play a crucial role in designing, building, and leading a cross-functional team responsible for enterprise data analytics, data science, data governance, and structured data enablement to support advanced AI/ML use cases. As the Director of Data Analytics, Science & AI Enablement, you will lead the development and deployment of machine learning, generative AI, recommendation systems, and predictive models to enhance product intelligence and automation. You will be responsible for building and scaling AI capabilities across the platform, including personalization, NLP, anomaly detection, and customer segmentation, while ensuring that the models are interpretable, ethical, and aligned with business and customer trust standards. Driving insights into user behavior, product performance, churn prediction, and lifecycle value using customer and usage data will be a critical aspect of your role. You will develop dashboards, KPIs, and self-service analytics tools for marketing, product, sales, and support teams, as well as own the customer analytics roadmap to enhance onboarding, conversion, retention, and upsell opportunities. You will build and lead a high-performance team of data scientists, AI/ML engineers, analysts, and data product managers. Collaborating with various departments such as Product, Engineering, Marketing, Sales, Legal, Risk & Compliance, and Customer Success, you will align data strategy with business objectives and legal requirements. Your ability to communicate findings to senior leadership and influence roadmap decisions using data-backed recommendations will be crucial. Collaborating with Data Engineering, you will ensure scalable data architecture and high-quality data pipelines. Overseeing data quality, governance, and compliance across all analytical and operational systems, you will implement scalable data architecture and governance frameworks, ensuring compliance with data privacy regulations and internal standards. Additionally, you will establish and lead a high-performing global team of data analysts, data scientists, and data engineers. Driving data availability, quality, and governance across the organization to support AI and advanced analytics initiatives will be a key part of your role. You will partner with engineering, product, and business stakeholders to identify opportunities for AI/ML solutions and ensure they are supported by reliable, well-structured data. Serving as a thought leader for data science, analytics, and AI enablement best practices, you will lead the development of dashboards, metrics, and decision-support tools that empower business leaders. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Engineering, or related discipline. You should possess proven experience working in a SaaS or tech environment with subscription-based metrics, at least 10+ years of experience in data analytics, data science, or related fields, with 3-5 years in a leadership capacity. Strong knowledge of AI/ML concepts, data platforms, and BI tools, as well as deep understanding of data governance, data quality, and metadata management, are essential. Excellent communication and stakeholder management skills, along with prior experience with product instrumentation and event tracking platforms, will be beneficial for this role.,

You will be responsible for defining and owning the end-to-end decisioning architecture leveraging Pega Customer Decision Hub (CDH). This includes designing NBA strategies, engagement policies, and arbitration rules. You will also integrate adaptive and predictive models for real-time decisioning, enabling cross-channel orchestration and personalization at scale. Additionally, you will guide the enterprise data strategy for decisioning and ensure seamless data integration. Leading CDH governance, roadmap, and stakeholder alignment will also be part of your role. Ideal Background: With a minimum of 8 years of experience in Pega CDH and at least 3 years in Decisioning, you will work in the role of a Decisioning Architect and be CPDC certified. Your experience should include designing and developing using the NBAD framework, understanding and driving user experience and business expectations, and implementing applications end to end. You must also have a grasp of impacts on performance, reusability, and stability against high-volume applications. Experience in background processing, integrations design, application scalability, performance impact, debugging, and fixing environmental issues in Prod and non-Prod environments is essential. Must-Have Skills: As a Pega Certified Decisioning Architect (CPDC), you should be a highly skilled and innovative Pega Lead Decisioning Architect capable of executing advanced decisioning solutions. Your ability to improve Pega Decisioning AI performance through various methods, provide thought leadership, present decisioning concepts and benefits, influence stakeholders, and recommend decisioning algorithms is crucial. Consultation and training to Decisioning architects, experience with simulation, A/B testing, adaptive analytics, and performance analysis in Pega Customer Decision Hub are required. Nice to Have Skills: Having demonstrated knowledge of industry-standard project delivery frameworks such as Agile, Scrum, and waterfall is beneficial. Bringing creative and fresh perspectives to solve critical challenges, fostering a culture of innovation within the team, and having end-to-end experience in defining solutions, design, and implementation in Customer Marketing, contact strategy, segmentation, adaptive modeling, and campaign management are considered advantages.,

DESCRIPTION At Amazon.com, we strive to be Earth's most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. Key job responsibilities An ideal candidate for this role: - Use machine learning techniques to forecast AM Goals for improved long term and short term capacity planning. - Employ the appropriate algorithms to discover patterns of risks, redundancies and inefficiencies. - Design experiments, test hypotheses, and build actionable models to optimize AM operations. - Solve analytical problems, and effectively communicate methodologies and results. - Build predictive models to forecast risks for seller selction and operations and help predict workflow and capacity requirements for AM operations. - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies. - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. BASIC QUALIFICATIONS - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 5+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders PREFERRED QUALIFICATIONS - 3+ years of business analyst, data analyst or similar role experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Job Description The successful candidate is required to work within a multi-discipline team to design efficient and reliable 765 kV HVAC transmission transmission lattice towers and transmission lines. The engineer will coordinate their design activities to maintain project schedules and ensure successful project completion. The engineer will also assist the pursuits team in preparation of estimates and project proposals. This position is accountable to provide all design activities in accordance with all applicable codes and standards, including all of WSP&aposs policies and procedures, such as Safety, Environmental, Quality Assurance and Quality Control. Responsibilities Principal Engineer in the design of 765 kV HVAC lattice transmission towers. Develop lattice tower Design Critieria, inclusive of clearances, structural loading, maintainance, and unique weather studies. Develop structure framing configurations, design, and detailing. Recommend construction alternatives and assess overall tower contructability. Develop construction specifications inclusive of all required U.S. codes and standards. Perform transmission line optimization studies, considering optimal lattice tower family development, span length, and conductor selection. Work closely with Client Standards team to optimize the latttice tower designs, materials, constructability, and maintenance. Act as "Engineer of Record" to oversee design process. Delivery of accurate and thorough designs that will meet industry standards and specifications, and meet good engineering practice with excellent constructability. Review of internal and external designs for code compliance, good design practice and constructability. Resolving site queries during the construction phase of projects. Making and maintaining appropriate commitments to project teams and coordinating design activities with multi-disciplined project team members. Maintaining good working relationships with internal groups that support projects. Maintaining good working relationships with material suppliers, contractors, and any others that affect the quality, schedule and cost of projects. Mentoring and providing guidance to developing engineers within the department. Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSPs Code of Conduct and related policies and procedures. Manage a team of WSP engineers including direct reports and internal peers to support delivery of tasks identified above. Talent is the essence of meeting our client&aposs objectives, goals and challenges. If this sounds like a fit for you, we&aposd love to have that first discussion of you joining our team. Qualifications Bachelors Degree in Civil or Structural Engineering. 15-20 years of relevant post-education experience in transmission line design and lattice tower design, fabrication, and testing. Experience with steel transmission lattice tower design at 765 kV HVAC voltage-level. Expert working experience with the following U.S. Codes: ASCE 10, ASCE Manual 74, NESC. Highly proficient with engineering principles, practices, process, design/build, and the application to project work-related issues. Highly proficient with making technical computations and calculations involving the application of engineering principles, understanding plans and specifications, and making factual comparisons to the appropriate regulations. Experience with planning and conducting inspections and investigations on various aspects of the construction and design of substations, applying applicable regulations and policies. Works independently to provide guidance and leadership to mid-level to senior level team or project members, with strict adherence to QA/QC. Proficiency with technical writing, office automation, discipline-specific design software (i.e., MicroStation, AutoCAD, Civil 3D), technology, math principles, physics, predictive models, spreadsheets and other tools. Experienced with providing critical review for documents and preparing technical deliverables and plans with a high degree of complexity. Well-developed critical thinking and problem-solving skills required to apply technical knowledge to reach conclusions from testing results, data collation, computations, statistical analysis and arriving at the most effective, economical, and logical solution. Knowledge of US codes and standards such as IEEE and ANSI Effective interpersonal and communication skills when interacting with others, expressing ideas effectively and professionally to an engineering and non-engineering audience. Ability to work independently and provide guidance and leadership to junior team or project members, with strict adherence to QA/QC. Proven track record of upholding workplace safety and ability to abide by WSPs health, safety and drug/alcohol and harassment policies. Ability to work schedules conducive to project-specific requirements that may extend beyond the typical workweek. Show more Show less

We are looking for a Product Manager - MarTech & SEO at the PM2 or SPM level to lead high-impact initiatives across marketing automation and organic growth. You will define and drive product strategies to scale Nykaas MarTech stack, integrate AI/ML capabilities, and lead innovation in organic search visibility (SEO, SEO in GenAI world). Roles & Responsibilities - Own the roadmaps for Nykaas Martech Platform as well as SEO strategy and product enhancements to drive organic traffic as well optimize efficiencies for paid traffic Drive implementations and integrations across tech stack, spearheading agile sprints, user stories, and UAT. Own end-to-end delivery Collaborate with CRM, Performance Marketing, Design, Analytics and Engineering teams to build seamless campaign orchestration workflows and deliver high impact Martech solutions Tracking key performance metrics for Martech Platform Conduct A/B experiments, user research, and data-driven analysis to validate hypotheses and drive continuous improvement. Keep abreast of the latest SEO trends, Martech innovations, and evolving LLM ecosystem (e.g., OpenAI, Google Gemini) and explore agentic AI use cases for marketing automation and SEO Required Skills - 4-6 years of product management experience, with at least 2 years in Martech/ SEO Strong understanding of SEO technical architecture, schema, on-page SEO, and content optimization. Deep understanding of the marketing ecosystem and hands-on experience working with Martech tools (e.g.,Meta Ads, Google Ads, CRM, tracking platforms). Excellent analytics, communication and stakeholder management skills Demonstrated experience implementing AI/ML use-cases (e.g., predictive models, generative AI, user segmentation, content generation). Technical proficiency to write product specs, define APIs, query basic SQL, and discuss architecture with developers. Prior experience with eCommerce or high-scale B2C platforms is a plus. Show more Show less

Job Description The successful candidate is required to work within a multi-discipline team to design efficient and reliable 765 kV HVAC transmission transmission lattice towers and transmission lines. The engineer will coordinate their design activities to maintain project schedules and ensure successful project completion. The engineer will also assist the pursuits team in preparation of estimates and project proposals. This position is accountable to provide all design activities in accordance with all applicable codes and standards, including all of WSP&aposs policies and procedures, such as Safety, Environmental, Quality Assurance and Quality Control. Responsibilities Principal Engineer in the design of 765 kV HVAC lattice transmission towers. Develop lattice tower Design Critieria, inclusive of clearances, structural loading, maintainance, and unique weather studies. Develop structure framing configurations, design, and detailing. Recommend construction alternatives and assess overall tower contructability. Develop construction specifications inclusive of all required U.S. codes and standards. Perform transmission line optimization studies, considering optimal lattice tower family development, span length, and conductor selection. Work closely with Client Standards team to optimize the latttice tower designs, materials, constructability, and maintenance. Act as "Engineer of Record" to oversee design process. Delivery of accurate and thorough designs that will meet industry standards and specifications, and meet good engineering practice with excellent constructability. Review of internal and external designs for code compliance, good design practice and constructability. Resolving site queries during the construction phase of projects. Making and maintaining appropriate commitments to project teams and coordinating design activities with multi-disciplined project team members. Maintaining good working relationships with internal groups that support projects. Maintaining good working relationships with material suppliers, contractors, and any others that affect the quality, schedule and cost of projects. Mentoring and providing guidance to developing engineers within the department. Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSPs Code of Conduct and related policies and procedures. Manage a team of WSP engineers including direct reports and internal peers to support delivery of tasks identified above. Talent is the essence of meeting our client&aposs objectives, goals and challenges. If this sounds like a fit for you, we&aposd love to have that first discussion of you joining our team. Qualifications Bachelors Degree in Civil or Structural Engineering. 15-20 years of relevant post-education experience in transmission line design and lattice tower design, fabrication, and testing. Experience with steel transmission lattice tower design at 765 kV HVAC voltage-level. Expert working experience with the following U.S. Codes: ASCE 10, ASCE Manual 74, NESC. Highly proficient with engineering principles, practices, process, design/build, and the application to project work-related issues. Highly proficient with making technical computations and calculations involving the application of engineering principles, understanding plans and specifications, and making factual comparisons to the appropriate regulations. Experience with planning and conducting inspections and investigations on various aspects of the construction and design of substations, applying applicable regulations and policies. Works independently to provide guidance and leadership to mid-level to senior level team or project members, with strict adherence to QA/QC. Proficiency with technical writing, office automation, discipline-specific design software (i.e., MicroStation, AutoCAD, Civil 3D), technology, math principles, physics, predictive models, spreadsheets and other tools. Experienced with providing critical review for documents and preparing technical deliverables and plans with a high degree of complexity. Well-developed critical thinking and problem-solving skills required to apply technical knowledge to reach conclusions from testing results, data collation, computations, statistical analysis and arriving at the most effective, economical, and logical solution. Knowledge of US codes and standards such as IEEE and ANSI Effective interpersonal and communication skills when interacting with others, expressing ideas effectively and professionally to an engineering and non-engineering audience. Ability to work independently and provide guidance and leadership to junior team or project members, with strict adherence to QA/QC. Proven track record of upholding workplace safety and ability to abide by WSPs health, safety and drug/alcohol and harassment policies. Ability to work schedules conducive to project-specific requirements that may extend beyond the typical workweek. Show more Show less

The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. You must have a solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Your ability to communicate complex data insights to non-technical stakeholders is crucial, including senior management, marketing, and operational teams. You should be meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gathering and cleaning data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns is a key responsibility. Proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn) is a must. Expertise in supervised and unsupervised learning algorithms is also required. You will use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. It would be good to have familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL processes and tools like Apache Airflow to automate data workflows is advantageous. Familiarity with designing scalable and efficient data pipelines and architecture is beneficial. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly is a plus. The ideal candidate should have a strong analytical and statistical skills, expertise in machine learning and AI, experience with retail-specific datasets and KPIs, proficiency in data visualization and reporting tools, ability to work with large datasets and complex data structures, strong communication skills to interact with both technical and non-technical stakeholders, a solid understanding of the retail business and consumer behavior. Programming Languages: Python, R, SQL, Scala. Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras. Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn. Big Data Technologies: Hadoop, Spark, AWS, Google Cloud. Databases: SQL, NoSQL (MongoDB, Cassandra). In this role, you will collaborate with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. You will leverage your deep understanding of the retail industry to design AI solutions that address critical retail business needs. Applying machine learning algorithms to enhance predictive models and using AI-driven techniques for personalization, demand forecasting, and fraud detection are key responsibilities. Staying updated on the latest trends in data science and retail technology is essential. Collaborating with executives, product managers, and marketing teams to translate insights into business actions is also part of your role. About Our Company | Accenture,

As a leading AIML Company, KiE Square specializes in providing advanced Data Science and Data engineering solutions to clients, driving their Business Intelligence Transformation. We are currently seeking individuals to join our Core Team of Data Scientists, Data Engineers, and AIML Developers. We are looking for dedicated professionals who possess a sharp analytical mindset, have successfully delivered numerous high-value projects, are adept at handling large datasets, and have a proven track record of building Predictive Models with a strong sense of accountability. Key Role Areas: - Lead functional design and configuration for D365 F&O Finance implementations. - Gather and analyze business requirements to translate them into functional specifications. - Collaborate with technical teams to ensure seamless integration and customization. - Conduct workshops, training sessions, and User Acceptance Testing (UAT) with stakeholders. - Provide support for future cloud migration planning and readiness. Key Qualifications: - 5-8 years of experience in D365 F&O. - Minimum of 4-5 end-to-end implementations in the Finance domain. - Proficiency in API integrations and mobile app workflows. - Experience in UAT Execution management and familiarity with RSAT. - Excellent communication, documentation, and stakeholder management skills. If you are a dynamic professional with a passion for Data Science, Data engineering, and AIML, we encourage you to apply and become a valuable member of our team at KiE Square.,

Entity : - Accenture Strategy & Consulting Team : - Global Network - Data & AI Practice : - Banking & Financial Services Analytics Title : - Consultant Level 9 Job location : - Bengaluru, Gurugram, Mumbai About S&C - Global Network Data & AI : - Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling to outperform the competition. Role Overview : - As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands. And, in doing so, you&aposll improve the future of the global financial services industry. Accenture serves the world&aposs leading financial services organisations across three industry groups Central Banks: Monetary authorities, reserve banks across globe Banking : Retail and commercial banks and diversified financial institutions. Capital Markets : Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations. Whats In It For You Youll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilities Get to work with top financial clients globally Build new skills, grow existing skills, develop new areas of expertise within functional and technical areas of business Get access to resources that will allow you to leverage the latest technologies and bring innovation to life with the worlds most recognizable companies What You Would Do In This Role Work closely with clients to understand their business goals and challenges. Develop data strategies aligned with business objectives and industry best practices. Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights Identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights Develop and implement predictive models to assess and manage financial risks, leveraging advanced data science techniques. Build predictive models to assess and maximize Customer Lifetime Value, enabling targeted retention and acquisition strategies. Help in responding to RFPs and design POVs Working across client teams to develop and architect Generative AI solutions using ML and GenAI Implement data security measures to safeguard sensitive financial information and ensure adherence to industry standards. Show more Show less

The ideal candidate for the role of VP Data Science should have a strong background in data analytics, business intelligence, and management. As a visionary leader, you will drive the Data and Analytics, BI function to facilitate data-driven decision-making across the organization. Your responsibilities will include overseeing the development and implementation of machine learning predictive models, BI tools, and systems. It is crucial to ensure data accuracy and integrity while providing actionable insights to various departments. Effective communication, a strategic mindset, and the ability to collaborate with cross-functional teams are essential for success in this role, as you will play a critical part in helping the organization leverage data to achieve its business goals and objectives. Your key responsibilities will involve developing and implementing the overall Data and Analytics, BI strategy, as well as supervising the design, development, and maintenance of predictive models, BI tools, and systems. You will be accountable for ensuring data accuracy, integrity, and security, and providing actionable insights to support business decision-making. Collaboration with cross-functional teams to comprehend their data needs, managing and mentoring a team of data analytics professionals, setting performance goals, and conducting regular performance reviews are also part of your role. Staying updated with the latest trends and technologies, developing and maintaining data governance policies, and delivering presentations to senior management are critical responsibilities. Additionally, monitoring and reporting on key performance indicators (KPIs), identifying opportunities for process improvements, and ensuring compliance with data privacy regulations will be essential in this position. To qualify for this role, you should possess a Bachelor's degree in Computer Science, Information Systems, or a related field, with a Master's degree being preferred. Prior experience in business intelligence/data analytics and a leadership role is required. Proficiency in R/Python, Machine Learning, Databases, Dashboards, as well as a strong understanding of Data Science, Machine Learning, and Data Analytics, are necessary. Familiarity with BI tools and systems, excellent analytical and problem-solving skills, and strong communication and presentation abilities are also essential. Experience with data warehousing, ETL processes, SQL, and other database query languages is expected. The ability to work collaboratively with cross-functional teams, strong project management skills, and knowledge of data governance and data privacy regulations are crucial. Experience in Banking and Financial services, particularly in predictive modeling of regulatory and non-regulatory credit risk domain, would be advantageous. In conclusion, the VP Data Science role demands a dynamic individual who can effectively lead the Data and Analytics, BI function, drive strategic decision-making through data insights, and contribute significantly to the organization's success in achieving its business objectives.,

Working at AxionConnect offers you more than just a job - it's a chance to grow, learn, and thrive in a supportive and inspiring environment. We prioritize the well-being and development of our employees by providing a range of benefits and resources to enhance both their professional and personal lives. From training and mentorship programs to flexible work arrangements and employee engagement initiatives, we are dedicated to ensuring that you have the necessary tools and support to succeed. At AxionConnect, reputation and industry leadership are key. As a prominent ITES brand, we have built a strong reputation for delivering innovative solutions to our clients. With a proven track record of success, we have become a trusted partner in the industry, collaborating with leading organizations across various sectors. Our culture at AxionConnect is one of excellence. We encourage our employees to push boundaries, think creatively, and continuously strive for improvement. By investing in the latest technologies and providing a conducive work environment, we empower our team members to excel in their respective roles. We believe that collaboration and inclusivity drive innovation at AxionConnect. Open communication, teamwork, and knowledge sharing are encouraged, creating an environment where diverse perspectives are valued and embraced. Our inclusive culture enables our employees to thrive and achieve their full potential. Career growth opportunities are abundant at AxionConnect. We are committed to the professional growth and development of our employees by providing ongoing training, mentorship, and advancement opportunities. This allows individuals to expand their skill sets, take on new challenges, and progress in their careers within our organization. If you are passionate about innovation, collaboration, and making a difference, we invite you to join our community at AxionConnect. We are always seeking talented individuals who are driven to excel and thrive in a dynamic and fast-paced environment. Together, we can create meaningful solutions and shape the future of the ITES industry. Ready to take the next step in your career with us Explore the exciting opportunity below: Tech Job: Sr Data Scientist Are you a skilled Data Scientist with expertise in statistical modeling (SAS EG/EMiner, Python), particularly within banking/insurance Join us at AxionConnect to contribute to model development, deployment, and predictive frameworks, leveraging your proficiency in credit risk modeling and machine learning. Turn data into actionable insights in a dynamic, client-centric atmosphere. Key Requirements: - Experience with statistical modeling language - SAS EG/EMiner Python - Knowledge of Analytical applications in the banking/insurance industry - Model development and validation knowledge - Design, development, and deployment of Predictive models and frameworks - Experience with modeling techniques such as Credit Risk Modelling and classification techniques - Passion for data, structured or unstructured - Hands-on experience with Python - Sound experience in data mining, data analysis, and machine learning techniques - Excellent critical thinking, verbal, and written communication skills - Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment - Good presentation skills If you meet these requirements and are ready to take on new challenges, we encourage you to apply and be part of our exceptional team at AxionConnect.,

As a talented SQA Engineer at BMC, you will play a crucial role in the development and testing of complex and distributed software products. Collaborating with developers, architects, and other Quality Assurance team members, you will validate product functionality through the execution of manual and automated test cases. Your responsibilities will include identifying end user scenarios, documenting all discovered issues, and validating fixes provided by developers. Additionally, you will contribute to product and process improvements, refine QA practices, and showcase/demo products to customers and stakeholders as needed. To excel in this role and contribute to both BMC's success and your own, you will need to bring a skillset and experience that includes a Bachelor's degree in computer science, engineering, or a related field along with at least 6 years of experience as a Quality Test Engineer in a distributed/mainframe environment. You should have demonstrable experience in functional, regression, and/or load testing, proficiency in at least one server-side language such as Java or Python, and familiarity with AI/ML implementation, algorithms, and tools. Experience with testing web and client-server applications, hands-on expertise in automation/scripting tools like Selenium, Cucumber, Robot Framework, etc., and strong test automation skills are essential for this role. Furthermore, you should possess solid experience in REST APIs testing, knowledge of SaaS products and cloud technologies, and the ability to create test strategies, test cases, and test execution plans. Familiarity with agile software development methodologies, DevOps practices, and different operating systems flavors, as well as excellent communication, interpersonal, and analytical skills, will be beneficial in your role as an SQA Engineer at BMC. While these qualifications are crucial, BMC is also open to candidates with diverse backgrounds and experiences. If you are deeply excited about joining BMC and this team, we encourage you to apply even if you are unsure about meeting all the qualifications listed above. At BMC, we value our employees and strive to create a culture that celebrates diversity, authenticity, and individuality. With a global team of over 6000 brilliant minds, BMC offers a supportive and inclusive work environment where you can truly be yourself. Additionally, BMC is committed to fair and transparent compensation practices, offering a competitive salary along with other rewards and benefits tailored to specific countries. If you have taken a break in your career and are looking to re-enter the workforce, BMC welcomes candidates who are interested in this role to learn more about our Returnship program by visiting [https://bmcrecruit.avature.net/returnship](https://bmcrecruit.avature.net/returnship).,

Are you a tech-savvy individual with a passion for Artificial Intelligence and Machine Learning Dalnex is seeking a dynamic AI intern to join our innovative team! As an AI intern at Dalnex, you will have the opportunity to work on cutting-edge projects and gain hands-on experience in the field of AI. Your day-to-day responsibilities will include assisting in developing AI models and algorithms to improve business processes, collaborating with team members to analyze data and create predictive models, conducting research on the latest AI trends and technologies, implementing and testing AI solutions in real-world scenarios, participating in brainstorming sessions to ideate new AI-driven initiatives, assisting in optimizing existing AI systems for better performance, and presenting findings and recommendations to stakeholders. If you are a proactive and ambitious individual looking to kickstart your career in AI, apply now to join Dalnex as an AI intern! About Company: At Dalnex, we strive to improve efficiency & optimize lifestyle by driving the world's transition to smart institutions using IoT solutions and providing optimal functionality. LazyNest is a brand under Dalnex that delivers innovative solutions to make living, work, commercial, and community spaces smarter.,

As a Data Analytics Lead with 10 years of experience, you will be responsible for driving the organization-wide analytics strategy and fostering a data-driven decision-making culture. Your key responsibilities will include building dashboards, leading advanced data analysis, developing predictive models, and ensuring ethical data usage. To excel in this role, you should have a B.E./B.Tech in Computer Science or equivalent qualification. Industry preference is given to Manufacturing/Process/IT sectors. You should also possess expertise in tools such as Tableau, Power BI, and Looker, along with knowledge of machine learning and MLOps. Strong communication and leadership skills are essential for effectively executing your responsibilities. Join us in this dynamic role where you will have the opportunity to drive analytics initiatives, develop predictive models, and lead the organization towards data-driven decision-making.,

As a Data Scientist at Standard Chartered, you will leverage your domain expertise to identify opportunities where Artificial Intelligence (AI) can enhance operations, reduce costs, boost productivity, and personalize client experiences. We are seeking individuals with a strong foundation in AI, mathematics, engineering, sciences, or related disciplines, who are intellectually curious, analytical, and eager to learn. In collaboration with stakeholders such as the sales team, relationship managers, traders, and leadership, you will analyze business needs to define AI requirements with measurable success criteria. You will be responsible for extracting insights from extensive datasets, improving data collection methods, recommending AI solutions, and developing self-service dashboards for reporting purposes. Key Responsibilities: - Collaborate with various stakeholders to identify areas where AI can optimize business processes. - Define AI business requirements with clear success metrics. - Analyze large datasets to uncover trends and insights. - Improve data collection methods and recommend AI solutions. - Develop self-service dashboards for reporting. - Utilize data visualization tools to translate analytics into actionable insights. - Implement a framework for continuous monitoring of deployed AI models. Skills and Experience: - 2-5 years of experience in AI, Mathematics, Engineering, or related fields. - Proficiency in predictive models, machine learning algorithms, and data visualization tools. - Knowledge of Natural Language Processing (NLP) and Python programming. - Familiarity with financial mathematics, time series analysis, data governance, and AI regulatory compliance. - Experience with AI techniques including quantum machine learning. Competencies: - Action Oriented - Collaborates - Customer Focus - Gives Clarity & Guidance - Manages Ambiguity - Develops Talent - Drives Vision & Purpose - Nimble Learning - Decision Quality - Courage - Instills Trust - Strategic Mindset Join us at Standard Chartered, an international bank committed to driving commerce and prosperity through our unique diversity. We value inclusivity, innovation, and continuous learning, offering a supportive work environment with opportunities for growth and development. If you are passionate about making a positive impact and thrive on challenges, we invite you to explore a rewarding career with us. Visit our careers website to learn more about opportunities at Standard Chartered.,

As a Data Scientist at our company, you will play a crucial role in supporting the development and deployment of machine learning models and analytics solutions that enhance decision-making processes throughout the mortgage lifecycle, spanning from acquisition to servicing. Your responsibilities will involve building predictive models, customer segmentation tools, and automation workflows to drive operational efficiency and improve customer outcomes. Collaborating closely with senior data scientists and cross-functional teams, you will be tasked with translating business requirements into well-defined modeling tasks, with opportunities to leverage natural language processing (NLP), statistical modeling, and experimentation frameworks within a regulated financial setting. You will report to a senior leader in Data Science. Your key responsibilities will include: - Developing and maintaining machine learning models and statistical tools for various use cases such as risk scoring, churn prediction, segmentation, and document classification. - Working collaboratively with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. - Translating business inquiries into modeling tasks, contributing to experimental design, and defining success metrics. - Assisting in the creation and upkeep of data pipelines and model deployment workflows in collaboration with data engineering. - Applying techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data. - Supporting model monitoring, performance tracking, and documentation to ensure compliance and audit readiness. - Contributing to internal best practices, engaging in peer reviews, and participating in knowledge-sharing sessions. - Staying updated with advancements in machine learning and analytics pertinent to the mortgage and financial services sector. Qualifications: - Minimum education required: Masters or PhD in engineering, math, statistics, economics, or a related field. - Minimum years of experience required: 2 (or 1 post-PhD), preferably in mortgage, fintech, or financial services. - Required certifications: None Specific skills or abilities needed: - Experience working with structured and semi-structured data; exposure to NLP or document classification is advantageous. - Understanding of the model development lifecycle, encompassing training, validation, and deployment. - Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is desirable. - Strong communication skills and the ability to present findings to both technical and non-technical audiences. - Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.,

Join us as an Assistant Vice President- Credit Strategy at Barclays, where you will spearhead the development of Credit Strategies for some of the well-known co-brand credit cards. You will utilize industry-leading tools to enhance credit strategies. You may be assessed on key skills relevant for success in the role, such as experience with SAS/SQL, knowledge of Lending products especially Credit cards, understanding of the credit underwriting process, as well as job-specific skillsets. To be successful as an Assistant Vice President - Credit Strategy, you should have experience with: Basic/ Essential Qualifications: - College degree required; quantitative disciplines preferred; master's degree preferred - Analytical experience in the financial services industry; credit card experience preferred - Experience building underwriting and/or line assignment credit strategies - Experience with SAS/SQL or other relevant statistical tools Desirable skillsets/ good to have: - Strong analytical, technical, and statistical skills with a proven ability to process vast amounts of data into meaningful information - Strong knowledge of SQL, SAS, and Excel - Strong communication skills, with the ability to present information clearly, in both written and verbal form - Previous experience in the Financial Services Industry and Credit Risk Management Preferred - Ability to thrive in a dynamic and fast-paced environment Key Accountabilities: - Utilizing segment-level valuations, develop Credit Strategies (Underwriting, Line, and Pricing) for the US Partner Portfolio (50%) - Evaluate alternative data for underwriting and line assignment strategies using statistical analysis techniques such as CHAID Decision Trees, optimization procedures, loss forecasting, enhanced process monitoring, data quality analyses, and incorporate score implementations supporting launch (20%) - Develop and monitor customized manual underwriting process (10%) - Work with Segment / Strategic Analytics / Decision Science staff to ensure project completion within agreed time frames and end-client satisfaction (10%) - Analyze, validate, track, and monitor delivered projects (100%) Stakeholder Management and Leadership: The person in this role will interact with Customer Office, Credit Risk, Finance, Segment teams, Customer Delivery, and Technology teams to ensure the correct implementation of the targeting strategies. Decision-making and Problem Solving: Strong problem-solving skills are required. The person needs to be resourceful with a can-do attitude to independently push tasks forward while working with key stakeholders. Ability to make decisions on the fly when equipped with the right background information and business insights. Risk and Control Objective: Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework, and internal Barclays Policies and Policy Standards. This role will be based out of Noida, India. Purpose of the role: To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. Accountabilities: - Identification, collection, extraction of data from various sources, including internal and external sources - Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis - Development and maintenance of efficient data pipelines for automated data acquisition and processing - Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the data - Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities - Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations: To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

Urgent: SAP AI Consultant, near Pune Our client is leading Ice Cream Manufacturer of India , UAE & UK They are a professionally managed global conglomerate with traditional values of the 70-year-old family business. They directly employ over 2000 people across several regions of operations & includes the ownership & management of the boutique hotel in Mumbai, Banquets & Catering services, Indias largest ice-cream store chain , extremely delicious lower-calorie ice cream brand , the leading ice cream & food brand of the Middle East offering traditional Indian packaged foods such as paneer, frozen vegetables, rice & more a chain of modern Indian family dining restaurants in India & other sub-brands. Position Summary The SAP AI Consultant will be responsible for driving the implementation & optimization of artificial intelligence (AI) solutions within the SAP ecosystem. This includes advising clients on AI use cases, designing AI-driven business processes & integrating advanced AI technologies like machine learning, predictive analytics, & intelligent automation into SAP applications. The consultant will work closely with business & technical teams to deliver AI-powered solutions that improve business outcomes. Qualifications & Experience Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. Minimum 5+ years of relevant experience in implementing AI solutions, with a strong background in SAP technologies. Deep understanding of SAP AI/ML capabilities, including SAP AI Foundation, SAP Leonardo, & SAP Business Technology Platform (BTP). Expertise in machine learning algorithms, predictive analytics, & data science methodologies. Proven experience with integrating AI technologies such as predictive models, natural language processing (NLP), & intelligent automation within SAP environments. Familiarity with SAP S/4HANA & integration of AI with core business applications (e.g., finance, logistics, supply chain). Experience with SAP Analytics Cloud (SAC) & its AI-driven analytics capabilities. Hands-on experience with Python, R, SQL, & other AI-related programming languages & tools. Knowledge of cloud-based AI services, such as SAP Data Intelligence, Google Cloud AI, AWS AI/ML, or Microsoft Azure AI. Understanding of AI ethics, data governance, & regulatory compliance related to AI applications. Strong problem-solving skills & ability to work on complex, cross-functional AI projects. Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders. Ability to collaborate with both business & IT teams to design & deliver AI solutions. Experience with Agile methodology for delivering AI projects is an advantage. SAP certification in AI or related SAP technologies is a plus. Key Skills SAP AI Sap Cloud Platform S/4HANA SAP AI/ML SAP BTP SAP Analytics Cloud Sap Cloud Key Responsibilities Lead the design & implementation of AI & Machine Learning solutions integrated with SAP systems (S/4HANA, SAP Analytics Cloud, SAP Leonardo, etc.). Identify AI opportunities across various business functions (finance, procurement, sales, supply chain, etc.) & provide strategic recommendations for leveraging AI to drive operational efficiency & innovation. Work with SAPs AI capabilities, including SAP AI Foundation, SAP Business Technology Platform (BTP), & SAP Leonardo to create custom AI solutions. Design AI models, implement machine learning algorithms, & build intelligent automation processes to solve complex business problems. Collaborate with SAP functional consultants & business teams to define AI use cases & ensure AI-driven solutions are aligned with business objectives. Develop & deploy AI-powered applications, including predictive analytics, intelligent automation, & natural language processing (NLP), into the SAP environment. Integrate SAP AI technologies with other SAP modules (such as SAP S/4HANA, SAP BW, SAP SuccessFactors) to enhance data-driven decision-making & business performance. Lead data science initiatives by developing AI models, algorithms, & data pipelines to analyse large sets of structured & unstructured data. Advise clients on data requirements for AI models & machine learning, including the collection, cleaning, & processing of data for AI integration. Evaluate AI technologies, tools, & platforms, & recommend the best solutions for clients. Provide expertise in AI governance, ensuring ethical AI implementation & compliance with data privacy regulations. Deliver training & knowledge transfer to clients, enabling them to adopt AI technologies within their business processes. Conduct system testing, troubleshooting, & debugging to ensure successful deployment & execution of AI solutions. Stay up to date with emerging AI technologies, trends, & best practices, applying this knowledge to optimize SAP AI solutions. Preferred Skills Experience with AI-driven chatbots, virtual assistants, or AI-powered customer service solutions. Familiarity with SAP Intelligent Robotic Process Automation (RPA) & how AI integrates into business process automation. Knowledge of deep learning, computer vision, & speech recognition technologies. Experience working with large-scale data sets & leveraging big data platforms such as SAP Data Hub. Ability to design & implement AI models in cloud & on-premise environments. Experience in the automotive, manufacturing, or retail industries is a plus, as these sectors are increasingly adopting AI solutions. You are requested to Email updated resume with following details Current Location Please confirm you are ready to work Near Pune Do you have 5+ years of relevant experience Relevant experience in implementing AI solutions, with a strong background in SAP technologies , (In years) Relevant experience in SAP AI , Sap Cloud Platform , S/4HANA , SAP AI/ML , SAP BTP , SAP Analytics Cloud , Sap Cloud(In years) Relevant experience in designing AI use cases, AI-driven business processes & integrating advanced AI technologies(In years) Relevant experience in machine learning, predictive analytics, & intelligent automation into SAP applications. (In years) Relevant experience in design & implementation of AI & Machine Learning solutions integrated with SAP systems (S/4HANA, SAP Analytics Cloud, SAP Leonardo, etc.). Do you have Deep understanding of SAP AI/ML capabilities, including SAP AI Foundation, SAP Leonardo, & SAP Business Technology Platform (BTP)? Can you work with SAPs AI capabilities, including SAP AI Foundation, SAP Business Technology Platform (BTP) & SAP Leonardo to create custom AI solutions? Can you Develop & deploy AI-powered applications, including predictive analytics, intelligent automation, & natural language processing (NLP), into the SAP environment? Can you Integrate SAP AI technologies with other SAP modules (such as SAP S/4HANA, SAP BW, SAP SuccessFactors) to enhance data-driven decision-making & business performance? Can you Lead data science initiatives by developing AI models, algorithms, & data pipelines to analyse large sets of structured & unstructured data? Can you Advise clients on data requirements for AI models & machine learning, including the collection, cleaning, & processing of data for AI integration? Can you Evaluate AI technologies, tools, & platforms, & recommend the best solutions for clients? Team Size Managed ( Direct & Indirect) Current Salary (Fixed + Variable) Expected Salary Minimum period required for Joining Languages known Please self-rate : your English Communication skills on a scale of 1 to 10 (10 being highest) Contact Details, Residence & Mobile No What’s App No./ Skype ID In case you are not interested, we would appreciate, if you can refer us, suitable matching profiles from your rich contacts [[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[ Best Regards Pradeep Kumar / Mumbai Email: pradeep@intellectualcapital.co.in Cell: 8828181917 / 9323272361 [[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[

As an Assistant Manager, Credit Risk Modeler at Genpact, you will play a crucial role in overseeing the development, enhancement, and validation of credit risk models. Your responsibilities will include ensuring compliance with regulatory standards, driving innovation in risk management practices, and providing analytical support for recommending actions to mitigate risk. You will be working as a consultant for the centralized advanced analytics team of a banking or financial firm, interacting with various business units including risk, finance, and controllership stakeholders. Your role will involve designing, developing, and validating predictive models, conducting rigorous testing and validation methodologies, and assessing data quality for model development. To excel in this role, you must have experience in developing and validating credit risk models, knowledge of statistical techniques, and familiarity with regulatory and non-regulatory credit risk modeling. You should be proficient in end-to-end development or independent validation of credit risk and regulatory models, including PD, LGD, EAD, Stress Testing, CECL, Credit Scorecards, AML, and counter-fraud models. Additionally, you are expected to have hands-on expertise in SQL, ETL, SAS, Python, and R for working with large datasets. A master's degree in a quantitative discipline such as Statistics, Economics, Finance, or Data Science is required. Strong client management, communication, presentation, and project management skills are essential for this role. Preferred qualifications include strong networking, negotiation, and influencing skills, as well as understanding and experience with regulatory risk model development/validation guidelines such as SR 11-7, Basel IRB, CCAR, CECL, and IFRS9. Hands-on experience in machine learning modeling techniques would be an added advantage. If you are a self-driven individual with a proactive attitude, strong project management experience, and the ability to work effectively under ambiguity and minimal supervision, we invite you to apply for the role of Assistant Manager, Credit Risk Modeler at Genpact.,