1563 Predictive Modeling Jobs - Page 5

• Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. • Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. • Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. • Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. • Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. • Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. • Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. • Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. • Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. • Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. • Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment. QUALIFICATION Minimum education: Bachelors degree in any Engineering Stream Specialized training, certifications, and/or other special requirements: Nice to have Preferred education: Computer Science/Engineering. EXPERIENCE Minimum relevant experience - 4+ years in AI Engineering SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members Role & responsibilities Preferred candidate profile

Core Skills • Bachelor’s degree in computer science or a related field OR master’s degree in statistics, economics, business economics, econometrics, or operations research. • 5-10 years of experience in the Analytics/Data Science domain. • Experience with Generative AI techniques and tools. • Familiarity with ETL methods, data imputation, data cleaning, and outlier handling. • Familiarity with AWS cloud platform and AI/ML services. • Knowledge of databases and associated tools such as SQL. Technical Skills – Desirable: • Expertise in Deep learning, Segmentation, Classification and Ensemble techniques • Multi-agent frameworks, and Evaluation frameworks. • Proficiency in programming languages such as Python.

Job Characteristics: Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments where precedents may not exist. Demonstrates working knowledge and interconnectivity of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify, experiment and collaborate on novel approaches to data science solutions. Makes significant contributions to the exploration, refinement and deployment of data science solutions. Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 8-10 years related experience or MS and 5 years related experience or PhD and less than 2 years experience. Independence level/Reports to: Provides basic leadership and individually contributes to key data science projects/experiments of moderate scope and complexity with high impact on the business. Acts with considerable latitude in determining technical approach required to meet desired objectives. Normally reports to Director, Data Science Manager, or senior technical leader.

Overview Please refer JD Responsibilities Please refer JD Qualifications Please refer JD

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together . Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resource. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviors, particularly those that most impact business and marketing goals. Qualifications 3-5 years of hands-on experience in data science and analysis, demonstrating strong problem-solving capabilities and story telling capabilities Strong python skills and Data science experience are mandatory to have Market Mix Modelling is good to have Ability to create data-driven stories from large and complex datasets. Excellent written and verbal communication skills, with the ability to present data insights effectively. Proven ability to maintain positive client relationships, ensuring satisfaction and collaboration. Strong presentation skills, utilizing MS PowerPoint or other relevant platforms. Ability to work in a dynamic team environment and effectively handle multiple projects while meeting deadlines.

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, interpreting results, and providing insights that inform strategic decisions, all while fostering a collaborative environment that encourages innovation and problem-solving. 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.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Develop and implement best practices for data analysis and model development to ensure high-quality outputs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning algorithms and statistical modeling techniques.- Familiarity with data visualization tools to effectively communicate insights.- Proficient in programming languages such as Python or R for data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Sr Analyst Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 5 to 8 years Language - Ability: English(Domestic) - Advanced What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for? Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation2 CL8 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data wrangling, feature extraction, and data validationWorking with structured, unstructured, and streaming dataCollaborating with data engineers to ensure data quality and availability Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Python (Programming Language) Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will also explore the integration of generative AI models into your projects, while working on various aspects of deep learning, neural networks, chatbots, and image processing. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of software development best practices, including version control and testing methodologies. Additional Information:- The candidate should have minimum 3 years of experience in Python (Programming Language).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Salary : 45 to 60LPA Exp: 12 to 20 years Location : Remote Notice: Immediate to 30 days..!! Roles & responsibilities: 10+ 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.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple projects and meet deadlines in a fast-paced environment. Strong attention to detail and ability to interpret complex data sets. Experience working with IT Services & Consulting firms, focusing on business intelligence and analytics.

We are looking for a highly skilled and experienced Senior Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical and problem-solving skills. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Work closely with clients to understand their needs and provide tailored solutions. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficient in data analysis and reporting tools, such as Excel or SQL. Strong communication and interpersonal skills, with the ability to work effectively with clients and teams. Ability to work in a fast-paced environment and meet deadlines. Strong attention to detail and organizational skills, with the ability to prioritize tasks and manage multiple projects simultaneously.

We are looking for a highly skilled Data Scientist with 7 to 10 years of experience to join our team as a Senior Process Manager in eClerx Services Ltd., located in Mumbai. Roles and Responsibility Develop and implement data-driven solutions to enhance business processes. Collaborate with cross-functional teams to identify areas for improvement and optimize workflows. Design and maintain databases and data systems to support business intelligence initiatives. Analyze complex data sets to inform strategic decisions and drive business growth. Develop and maintain reports and dashboards to track key performance indicators. Ensure data quality and integrity by implementing data validation and testing procedures. Job Requirements Strong understanding of data analysis, machine learning, and statistical modeling techniques. Experience with data visualization tools such as Tableau or Power BI. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills to work effectively with stakeholders. Ability to design and implement process improvements to increase efficiency and productivity. Strong knowledge of data management principles and practices.

Job Summary: The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the companys overall strategic goals. Key Responsibilities: 1. Leadership and Team Management: Lead, mentor, and develop a team of data scientists. Foster a culture of innovation, collaboration, and continuous learning. Set clear goals and performance expectations for the team. 2. Strategy and Vision: Define and implement the data science strategy aligned with the companys objectives. Identify and prioritize data science projects that drive business value. Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science. 3. Technical Expertise: Oversee the development and deployment of machine learning models and algorithms. Ensure best practices in data modeling, coding, and experimental design. Provide technical guidance on complex data science projects. 4. Collaboration and Communication: Work closely with business leaders to understand their needs and translate them into data science initiatives. Communicate findings and recommendations to both technical and non-technical stakeholders. Collaborate with data engineering, IT, and other departments to ensure data availability and integrity. 5. Project Management: Manage multiple data science projects, ensuring timely and successful delivery. Allocate resources effectively and balance team workloads. Monitor project progress and make adjustments as needed. 6. Performance Measurement: Develop metrics to measure the impact and effectiveness of data science initiatives. Continuously evaluate and refine models and strategies based on performance data. Report on key performance indicators to senior management. Qualifications: Education: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Masters or Ph.D. preferred. Experience: 7+ years of experience in data science or a related field. 3+ years in a leadership or managerial role within a data science team. Proven track record of delivering impactful data science solutions in a business context. Technical Skills: Expertise in statistical analysis, machine learning, and predictive modeling. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Ability to translate complex technical concepts into actionable business insights. Strong organizational and project management skills. Preferred Qualifications: Experience in [specific industry or domain relevant to the company]. Knowledge of deep learning, NLP, or other advanced AI techniques. Experience with Agile methodologies and project management tools.

Job Summary: The ideal candidate will be responsible for leading and managing multiple audit engagements, ensuring compliance with regulatory standards, and mentoring junior staff. This is an excellent opportunity for a seasoned professional looking to take on a leadership role within a dynamic and growing organization. Key Responsibilities: Lead, plan, and execute audit engagements for clients in EBP, NFP, Yellow Book, Commercial and Single Audit sectors. Ensure compliance with GAAP, GAAS, GAGAS, ERISA, OMB Uniform Guidance, and other relevant auditing standards . Develop and maintain strong client relationships by providing high-quality service and strategic insights. Supervise, mentor, and train audit staff and senior associates to enhance their technical and professional skills. Review and finalize audit workpapers, reports, and financial statements to ensure accuracy and compliance. Identify and assess audit risks , develop audit strategies, and communicate findings and recommendations to clients. Coordinate with clients, regulators, and internal teams to facilitate audit processes and address issues proactively. Stay updated on industry trends, changes in regulations, and best practices to enhance audit efficiency and effectiveness. Assist in business development efforts , including proposal writing, client presentations, and networking to expand service offerings. Requirements 7+ years of audit experience , with a focus on at least two of the following: EBP, NFP, Yellow Book, Commercial and Single Audits. CA, CMA, Bachelors, or Masters degree in Accounting, Finance, or a related field. CPA certification required (or actively pursuing with significant progress). Extensive knowledge of US GAAP. Proven ability to lead and manage multiple audit engagements simultaneously. Strong analytical, problem-solving, and decision-making skills . Excellent verbal and written communication skills with the ability to present findings to clients and stakeholders. Proficiency in audit software, Microsoft Office Suite, and data analytics tools . Ability to mentor and develop junior audit professionals.

Overview Strategically design Test processes and lead development of Manufacturing Test solutions and applications involving electro mechanical Hardware and Software code development. Primary role is to design and develop solutions using latest tools and technologies to create most efficient and optimized manufacturing processes. This role requires innovative mindset to create new and different to influence and provide direction to leadership teams to adopt new manufacturing technologies positively impacting Zebra business. This position offers future advancements to the right candidate into leadership roles in Technical operations arm of Supply chain to lead, develop, automate, optimize and innovate Manufacturing Test strategies & solutions, for wide range of Zebra offered products and solutions. Responsibilities • Lead designing and architecting Test Strategies and solutions along with their execution with other team members. • Co-develop, strategize and lead projects in manufacturing space to create low cost, highly efficient and sustainable processes within Zebra adopted framework of Industrial standards. • Test software development along with hardware design of manufacturing test systems for calibration & functional testing of electronic devices and opto-mechanical electronic products. Such products include specialty printers, mobile computers, laser & imaging scanning products. • Document test solutions, drawings, schematics and specifications as per departmental practices. • Perform Measurement validation and acceptance criteria using Measurement System Analysis (MSA) tools to validate the designed test system (Cpk, GR&R). • Support product testing during the New Product Introduction (NPI) phase as well as sustaining support. • Lead in Benchmarking test solutions to latest technologies and trends in manufacturing environment with the goal to improve product quality, line efficiencies and throughput within LSS and I4.0 Framework • Makes changes to or upgrades existing systems. Enhances and improves existing technologies to apply to new solutions seeking new tools to analyze and solve problems. • Be able to echange ideas and articulate designs for test systems with peers and others in solution architectiure Qualifications • Minimum Education: o Bachelors Degree in Engineering(Electronics/Computer Sc./Physics) or Major in Physics • Minimum Work Experience (years): o 8 +Yrs. • Key Skills and Competencies: o Expert in (5+ yrs.) Python scripting, Labview, C++ o Minimum 2 yrs of experience in use of Data analytics tools and development – Power BI/Looker o Expert in Technical analysis with problem-solving capability associated with the manufacturing or functionality of electronic systems • Licenses/Certifications, special qualifications: o S/W development - training certifications • Equivalencies: o 5 yrs experience in S/w coding Position Specific Information: • Travel Requirements (as a % of time): 15-25% • Able to telework? Yes/no – if yes, % of time and expectations while teleworking: Yes. 30% - 40%Remote operation and provindig support.

As a Credit Risk Analyst at FISERV, your primary responsibility will be evaluating the creditworthiness of potential clients and assessing the overall risk associated with credit decisions. This crucial role involves analyzing financial data, monitoring credit trends, and developing risk assessment models to facilitate informed decision-making. The ideal candidate for this position will possess strong analytical skills, meticulous attention to detail, and a commitment to driving financial performance while upholding compliance with regulatory standards. Your key responsibilities will include analyzing financial statements, credit reports, and other pertinent data to evaluate the credit risk of potential clients. You will also be tasked with monitoring existing client accounts to proactively identify potential credit risks and trends. Additionally, you will be expected to prepare regular reports on credit risk exposure and present your findings to management. Collaboration with underwriting teams to provide insights and recommendations regarding credit decisions will be a crucial aspect of your role. Furthermore, you will work closely with compliance and legal teams to ensure adherence to regulatory requirements. In this role, you will also contribute to the development and validation of predictive models aimed at enhancing credit decision-making processes. Staying abreast of market trends, economic conditions, and regulatory changes that might influence credit risk will be essential. Your investigative duties will involve gathering data from diverse sources and systems, interpreting this data effectively to manage risks proficiently. The qualifications required for this position include strong analytical skills for interpreting complex financial data and a sound understanding of credit risk assessment frameworks and regulatory requirements. Additionally, excellent communication skills, both written and verbal, will be advantageous, enabling you to effectively present findings to stakeholders. Being detail-oriented, organized, and adept at managing multiple priorities will be beneficial for thriving in this role. Moreover, possessing an MBA in Finance or being a fresher CA would be desirable qualifications for potential candidates.,

In this role, you will be required to build and develop advanced analytics capabilities and assets/accelerators. You will be responsible for all aspects of end-to-end Workforce Management capability creation, including Operations (forecasting, capacity planning, staffing, scheduling, real-time monitoring, and operations management reporting and analysis), Software Configuration, as well as Insight generation. It will be your responsibility to build and update Standard Operating Procedures (SOPs) for Workforce Management with appropriate participation from multiple Operations and Analytics teams. You will need to develop a forecasting, capacity planning, and scheduling strategy and framework that will enable the company to meet service levels, revenue goals, and operating parameters. You will own the workforce management team as they balance schedule adjustments, exceptions, adherence, mentorship, feedback, and training schedules. Additionally, you will evaluate the accuracy of forecasts and schedules prepared by the WFM team and act as the primary point of contact for data engineers to manage data effectively. You are required to have a Bachelors or Masters degree in a quantitative discipline such as Commerce, Statistics, Actuarial Sciences, Mathematics, Quantitative Finance, or Economics. Strong analytical skills with a solid understanding of statistics and predictive modeling are essential. Excellent knowledge of Contact center Operations is a must, and proficiency in the use of Dialer, workforce management software, CMS reporting, call recording, and monitoring systems is required. Demonstrating knowledge of call center metrics and WFM policies and procedures is essential. Experience in predictive modeling techniques such as GLM, Linear Regression, Time Series, Segmentation/Cluster Analysis, Decision Trees, and Random Forests is a must. Advanced proficiency with Microsoft Excel, including VBA, is required, along with basic database skills including SQL and the ability to pull together disparate data sources. Knowledge of statistical tools like R, SAS, SPSS, etc., is preferred. Analytical skills to provide insights on data trends and patterns critical to the business are necessary. Project/Program Management knowledge, including working on Architecture/Design of BI/Analytics solutions, is beneficial. You should have the ability to establish priorities, handle multiple assignments concurrently with minimal direction in a fast-paced work environment, and work both independently and as part of a team. Being self-disciplined and results-oriented are key qualities for this role. Preferred qualifications/skills include working knowledge of data entry and extraction through Verint/Genesis/NICE, understanding of scheduling functionality and forecasting through Verint/Genesis/NICE, and knowledge of real-time analysis using Verint/Genesis/NICE.,

You will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients at PwC. Your role will involve transforming raw data into actionable insights to enable informed decision-making and drive business growth. Additionally, you will work on developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Your responsibilities will include organizing and maintaining proprietary datasets, transforming data into insights and visualizations to drive strategic decisions for clients and the firm. You will collaborate closely with industry leaders and cross-functional teams to develop high-impact insights for thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. As a critical member of the data science team, you will analyze large, complex datasets to uncover insights related to Industrial Products. You will also support the identification of new datasets to differentiate the firm and assist in building predictive models and data-led tools. Moreover, you will design and conduct experiments to measure the effectiveness of new approaches and partner with teams to translate analytical findings into actionable recommendations and compelling stories. It is essential to develop dashboards and reports using tools like Tableau, Power BI, or Looker for self-service analytics and decision-making. Staying updated on industry trends, customer behavior patterns, and emerging technologies is crucial in this role. Preferred skills include managing data science and commercial analytics teams, proficiency in SQL, Alteryx, Python, and/or R for data manipulation and modeling, applying machine learning or statistical techniques to business problems, explaining complex data concepts to non-technical stakeholders, working with industry-specific datasets and vendors, knowledge of geospatial or time-series analysis, and experience with commercial analytics and insights.,

You will be joining our team in Nagpur as a Senior Data Analyst, where you will utilize your strong analytical skills and passion for data storytelling to deliver impactful insights to our clients. Your role will involve leading data projects, mentoring junior analysts, and collaborating closely with clients to understand their needs and provide tailored solutions. Your key responsibilities will include designing, executing, and delivering analytics projects, conducting in-depth analyses to identify trends and patterns, developing dashboards and reports for decision-making, and translating business questions into analytical solutions. You will also ensure data quality and compliance, mentor junior analysts, and work with cross-functional teams to integrate analytics into business workflows. To qualify for this position, you should have a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field, along with at least 4 years of professional experience in data analytics, preferably in consulting or business intelligence. Proficiency in SQL and a programming language like Python or R is required, as well as experience with data visualization tools such as Power BI, Tableau, or Looker. A solid understanding of statistical analysis, hypothesis testing, and predictive modeling is essential, along with excellent communication and presentation skills. Preferred qualifications include experience in sports analytics or business analytics for enterprises, knowledge of cloud-based data platforms like Snowflake, BigQuery, or AWS Redshift, and familiarity with ETL processes and data pipeline development. In return, we offer a competitive salary, diverse project opportunities, a collaborative work culture, and professional growth and learning prospects. If you meet the requirements and are interested in this position, please send your resume and a brief cover letter to shreyas@gibbous.io with the subject line: Application Senior Data Analyst (Nagpur). This is a full-time position based in Nagpur, Maharashtra, and requires in-person work.,

As a Decision Analyst at Barclays, you will play a crucial role in driving innovation and excellence in the digital landscape. Your primary responsibility will be to leverage cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. The BUK Decision and Analytics team is dedicated to harnessing the power of data through advanced analytics and data science to drive the performance of the bank. This involves enabling smarter, faster, and more proactive decision-making processes while utilizing information to transform the lives of customers, colleagues, and communities. In this role, you will have the opportunity to work closely with business heads, influencing decision-making through advanced analytics and data science to solve complex business problems. Your success as a Decision Analyst will be dependent on your experience in data mining, building predictive and machine learning models, and understanding machine learning algorithms and their applications. Proficiency in the data science project lifecycle, including use case framing, data exploration, model building, and deployment, along with knowledge of Python and SQL, are essential skills required for this position. Furthermore, possessing strong communication and storytelling skills, as well as problem-solving capabilities, will be highly valued in this role. You will be assessed on essential skills relevant to succeeding in the position, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology expertise. The primary purpose of this role is to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Your key accountabilities will include designing analytics and modeling solutions for complex business problems, collaborating with technology to specify dependencies, developing high-performing solutions, and providing ongoing support to ensure the effectiveness of analytics and models. As an Analyst, you will be expected to perform activities in a timely manner and to a high standard, driving continuous improvement. Depending on the position, you may lead and supervise a team, guide professional development, allocate work requirements, and coordinate team resources. Individuals are also expected to demonstrate a clear set of leadership behaviors or develop technical expertise in their area of expertise. All colleagues are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their daily interactions and work responsibilities.,

You will be responsible for managing end-to-end delivery of data science projects, developing and validating predictive models using analytical tools, and collaborating with various teams to deploy analytical solutions. In addition, you will support internal teams in developing in-house products/analytical solutions and build models for descriptive and predictive analytics, including natural language understanding, conversational AI, forecasting, and automation. Your expertise will be crucial in data wrangling, exploratory data analysis, and feature engineering with large data sets. You will also play a key role in supporting the development of proofs of concept to demonstrate the application of analytical capabilities in solving customer problems, aligning the technology solution with business goals. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or other quantitative fields. Familiarity with Agile methodologies and software development project management is required. Excellent written and verbal communication skills are essential, along with the ability to present complex technical information to non-technical audiences. Demonstrated flexibility, creativity, and patience in adapting to new situations and changing needs are also important qualities. Your skills should include proven ability in translating analytics output into actionable recommendations for key stakeholders, as well as experience in extracting and aggregating data from large datasets. Proficiency in statistical software such as Python, R, SQL, PySpark, or others is necessary. Competence in Excel, PowerPoint, and BI tools like Tableau, PowerBI, etc., is also expected. You will be responsible for assessing the effectiveness and accuracy of new data sources and data gathering techniques, developing custom data models and algorithms, and using predictive modeling to optimize customer experiences, revenue generation, data insights, and other business outcomes. Monitoring and analyzing model performance and data accuracy, partnering with key stakeholders/clients, extracting and understanding data to provide relevant insights, and developing visualizations for a broad audience are among your key responsibilities. Your role will also involve leadership and stakeholder management, requiring a high attention to detail and quality, as well as adaptability to work within a complex environment.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. As a Manager - Data Scientist with 9-12 years of preferred experience, you should hold a Bachelors or Advanced degree (Masters or Ph.D.) in Mathematics, Computer Science, Engineering, or a related field with a strong foundation in data science and machine learning. Your responsibilities will include leading and executing end-to-end data science projects, collaborating with business stakeholders, implementing data engineering for ML projects, and analyzing complex data sets to uncover trends and insights. Preferred qualifications for this role include: - 9+ years of hands-on Data Science experience with a proven record of independently deploying complex projects to production - Expertise in predictive modeling, deep learning, advanced analytics, and the mathematical and statistical foundations of machine learning - Exceptional Python coding skills and proficiency in SQL and relational databases (e.g., MySQL, PostgreSQL) - Extensive experience in Big Data technologies, cloud platforms, and developing custom algorithmic solutions beyond off-the-shelf models - Understanding of AI ethics, governance, risk management, and compliance (GRC) standards - Strong leadership and communication skills, with the ability to engage with stakeholders at all levels and manage cross-functional relationships - Willingness to travel to the MENA region based on business needs Your role will involve formulating and executing the organization's AI strategy, developing AI governance frameworks, leading collaboration efforts with other team members and departments, and mentoring junior members of the team. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Join us in our mission to ask better questions and find new answers for the complex issues facing our world today.,

As a candidate from the field of Computer Science, Statistics, Mathematics, or related disciplines, your primary responsibility will be to build predictive models and machine learning algorithms using time series data. You will leverage your expertise in these areas to develop advanced algorithms that can analyze patterns, trends, and relationships within the data. Your work will play a crucial role in enhancing predictive capabilities and driving decision-making processes within the organization. Additionally, you will collaborate with cross-functional teams to ensure the successful implementation and deployment of these models. Your contributions will directly impact the organization's ability to make data-driven decisions and stay ahead in a competitive market.,

At PwC, we focus on leveraging advanced technologies and techniques to design and develop robust data solutions for our clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. As part of the data science and machine learning engineering team, you will extract insights from large datasets and drive data-driven decision making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Your role will involve organizing and maintaining proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for our clients and the firm. You will collaborate closely with industry leaders and cross-functional teams to develop high-impact insights for thought leadership, media engagement, client pursuits, and delivery enablement. Preferred Knowledge And Skills: - Manage efforts with identifying and addressing client needs, maintaining and analyzing large, complex datasets to uncover insights. - Identify new, cutting-edge datasets to differentiate the firm amongst competitors and clients. - Build predictive models, design and conduct experiments, and translate analytical findings into actionable recommendations. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics. - Stay updated on industry trends, customer behavior patterns, and emerging technologies. - Experience managing high-performing data science and commercial analytics teams. - Proficiency in SQL, Alteryx, Python, and/or R for data manipulation and modeling. - Apply machine learning and statistical techniques to real-world business problems. - Explain complex data concepts to non-technical stakeholders. - Work with industry-specific datasets and vendors, and knowledge of geospatial or time-series analysis. - Prior experience with commercial analytics and insights.,

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. As a leader in fleet safety solutions, we are experiencing rapid growth, exceeding 4x year over year. Our innovative solution is being recognized as a disruptive technology, and to continue facilitating our growth, we are looking for forward-thinking and competitive team members. We are currently seeking a skilled Data Analyst with proficiency in Tableau, PowerPoint, and data visualization. Candidates with experience in transportation, logistics, supply chain, or related industries will have an advantage. The ideal candidate should possess a strong background in refining, scaling, and automating business case and ROI modeling processes. This role plays a critical part in supporting data-driven decision-making by analyzing and presenting insights that steer business strategies. Key Responsibilities: - Develop, refine, and automate business case and ROI models to enhance efficiency and accuracy. - Create, maintain, and optimize Tableau dashboards for reporting and data visualization purposes. - Analyze transportation data to identify trends, performance metrics, and opportunities for process enhancement. - Collaborate with cross-functional teams to gather requirements and align analysis with business objectives. - Prepare impactful presentations using PowerPoint to communicate findings, trends, and actionable insights to stakeholders. - Identify data discrepancies, implement quality control measures, and suggest system or process improvements. - Support strategic initiatives by providing detailed data analysis and forecasting models. - Continuously assess and scale analytics solutions to meet changing business requirements. - Stay abreast of best practices in data analytics, visualization, and transportation operations. Qualifications: - Education: Bachelor's degree in Data Science, Business Analytics, Computer Science, Transportation Management, or a related field. - Experience: Minimum of 3 years in a data analyst or related role with demonstrated expertise in Tableau and PowerPoint. - Technical Skills: Proficiency in Excel (including VBA and macros), data modeling tools (SQL, etc.), strong knowledge of Tableau, and familiarity with automation tools and frameworks. - Soft Skills: Excellent analytical and problem-solving abilities, strong written and verbal communication skills, ability to manage multiple projects, attention to detail, and a commitment to data accuracy and quality. Preferred Qualifications: - Experience in cost analysis, logistics, or supply chain optimization. - Knowledge of advanced statistical methods and predictive modeling. - Familiarity with transportation planning or fleet management software.,