524 Predictive Analytics Jobs - Page 16

Overview This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, building Visualizations, and performing predictive and prescriptive analytics approaches to drive actionable insights for the North American market. Key responsibilities will be to build and manage data to be used for analytics, report creation, data Visualization projects, and designing automation processes Responsibilities Ownership of ongoing maintenance and creation of new dashboards Rigorous Excel experience, Multiple Data Systems - For Analytics like Bobj, R SI, Retail Lin,k etc. Good with Data Analytics & Analysis, CPG /Retail Experience must, Experience with Visualisation/Dashboard build like PBI, Tableau, etc, Worked with Senior Leaders in the Org, Good handle on KPI/Metrics reporting, Good Knowledge of Predictive Analytics, Analytical Tools - R/Python/SQL. Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Build analysis in Excel, PBI, and Python with accompanying documentation Ensure delivery of accurate and timely data by the agreed service level agreement Focus on speed of execution and quality of service delivery rather than the achievement of SLAs Recognize opportunities and take action to improve the delivery of work Implement continued improvements and simplifications of processes, standardization of reporting, and optimal use of technology Create an inclusive and collaborative environment Qualifications 5+ years of experience in Sales Reporting & Analytics, Minimum 2 years in Data Analytics, preferably CPG Analytics. Preferred experience from a strong top-tier consulting or prior Fast Moving Consumer Goods (FMCG) company Good analytical skills excellent competency in MS Excel is a must, as is experience of managing complex, incomplete & inconsistent datasets and defining strategic analytics (market sizing/growth forecasts, etc). e.g, Tools like Knime, Python ,R Deep grounding in analytical logic and ability to translate complex data into powerful insight Strong experience in data transformation, data visualization,and exploratory analysis Strong Change Management Skills: Follow Up, Follow Through, Accountability, Sense of Urgency, and superior stakeholder management Ability to provide new ways of approaching situations and developing new, efficient solutions Independent & motivated individual; ability to receive direction and convert into an action plan with coaching and feedback Best-in-class time management skills, ability to multitask, set priorities, and plan

Req ID: 323701 We are currently seeking a Gen AI Lead Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesExercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Apply statistical skills and advanced statistical techniques and concepts. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries. Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights. Work closely with customers to understand their requirements and deliver customized AI solutions. Interact at appropriate levels to ensure client satisfaction and project success. Communicate complex technical concepts clearly to non-technical audiences. Conduct training sessions to enhance overall data science skills within the organization Build solutions for Private AI and Smart Agentic Solutions Minimum Skills Required 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 8+ year(s) of experience participating in projects that focused on one or more of the following areas: o Predictive Analytics o Data Design o Generative AI o AI/ML o ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor"™s Degree required.

Req ID: 323767 We are currently seeking a Gen AI Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesExercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence Apply statistical skills and advanced statistical techniques and concepts. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks (Langchain and LlamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.). Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries. Contribute to the development of frameworks, capabilities, and features for NTT DATA"™s global GenAI platform and TechHub. Work on RAG models to enhance AI solutions by incorporating relevant information retrieval mechanisms. Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights. Collaborate with data science teams to build, tune, and iterate on machine learning models and prompts. Work closely with customers to understand their requirements and deliver customized AI solutions. Interact at appropriate levels to ensure client satisfaction and project success. Communicate complex technical concepts clearly to non-technical audiences. Preferred experience in Private AI and Smart Agent Solutions Minimum Skills Required 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 5+ year(s) of experience participating in projects that focused on one or more of the following areas: o Predictive Analytics o Data Design o Generative AI o AI/ML o ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor"™s Degree required.

VP - Data Analytics This role will be a leadership position in the data science group at Sigmoid. An ideal person will come from a services industry background with a good mix of experience in solving complex business intelligence and data analytics problems, team management, delivery management and customer handling. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. The role is part of the leadership team and includes accountability for a part of her/his team and customers. The person is expected to be someone who can contribute in developing the practice with relevant experience in the domain, nurturing the talent in the team and working with customers to grow accounts. Responsibilities Include Build trust with senior stakeholders through strategic insight and delivery credibility. Ability to translate ambiguous client business problems into BI solutions and ability to implement them Oversight of multi-client BI and analytics programs with competing priorities and timelines, while collaborating with Data Engineering and other functions on a common goal. Ensure scalable, high-quality deliverables aligned with business impact. Help recruiting and onboarding team members; directly manage 15 - 20 team members You would be required to own customer deliverables and ensure, along with project managers, that the project schedules are in line with the expectations set to the customers Experience and Qualifications 15+ years of overall experience with a minimum of 10+ years in data analytics execution. Strong organizational and multitasking skills with the ability to balance multiple priorities. Highly analytical with the ability to collate, analyze and present data and drive clear insights to lead decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, other departments and partners. Mastery of BI tools (Power BI, Tableau, Qlik), backend systems (SQL, ETL frameworks), and data modeling. Experience with cloud-native platforms (Snowflake, Databricks, Azure, AWS), data lakes Expertise in managing compliance, access controls, and data quality frameworks is a plus Experience working in CPG, Supply Chain, Manufacturing and Marketing domains are a plus Strong problem-solving skills and ability to prioritize conflicting requirements Excellent written and verbal communication skills and ability to succinctly summarize the key findings

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team ? Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % ? ? Mandatory Skills: Python for Data Science. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

BIZMETRIC INDIA PRIVATE LIMITED is looking for DS / ML / Time-Series Engineer to join our dynamic team and embark on a rewarding career journey Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends Prepare and clean datasets for analysis and model development Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models Collaborate with data scientists to identify relevant features for model training Model Development:Design and implement machine learning models to solve business problems Work on both traditional statistical models and modern machine learning algorithms Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data Utilize technologies like Apache Spark for large-scale data processing Model Deployment:Deploy machine learning models into production environments Collaborate with DevOps teams to integrate models into existing systems Performance Optimization:Optimize the performance of data pipelines and machine learning models Fine-tune models for accuracy, efficiency, and scalability Collaboration:Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders Communicate technical concepts and findings to non-technical audiences Continuous Learning:Stay current with advancements in data science and engineering Implement new technologies and methodologies to improve data engineering processes Learning Certification Opportunities: Enhance your professional growth. Comprehensive Medical Coverage and Life Insurance: For your we'll-being. Flexible Work Environment: Enjoy a 5-day work week. Collaborative Culture: Be part of a fun, innovative workplace. Job Description: Python, Data Science, Azure Databricks, Machine Learning

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Customer Insights Analytics Insights Market research Familiarity with tools like Kantar Track, Power BI Adaptable and flexible Agility for quick learning Commitment to quality Written and verbal communication Ability to work well in a team Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day-to-day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Qualification Any Graduation

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Customer Insights Analytics Insights Storytelling Insight generation and presentation Familiarity with BI Tools, Kantar Track Adaptable and flexible Agility for quick learning Commitment to quality Written and verbal communication Ability to work well in a team 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 Qualification Any Graduation

Skill required: Omnichannel - Customer Service Designation: Customer Contact Comms Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Customer Support vertical and help us in managing/ resolving customers query, handling escalations and complaints of the dissatisfied customers & giving best resolutions. You will also be responsible for closing the fault and complaints within SLA s.Candidate who is good in email and chat process, who is good in typing is what is preferred hereCustomer service refers to the assistance and support provided by a business or organization to its customers before, during, and after a purchase or use of a product or service. It involves addressing inquiries, resolving issues, and ensuring customer satisfaction to build and maintain positive relationships. What are we looking for Adaptable and flexibleAbility to perform under pressureDetail orientationAbility to establish strong client relationshipWritten and verbal communication 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

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Expertise in consumer insights and market research. Proficient with tools such as Kantar Track, Power BI, Adobe Analytics, Hootsuite, and Talkwalker Skilled in data storytelling and dashboarding for stakeholder consumption Adaptable and flexible Prioritization of workload Ability to handle disputes Ability to manage multiple stakeholders Problem-solving skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Roles and Responsibilities Develop and maintain credit risk models using statistical modeling techniques such as logistic regression, predictive modeling, scorecards, etc. Collaborate with stakeholders to identify business requirements and develop data-driven solutions for credit risk analysis. Design and implement operational analytics frameworks to support decision-making processes. Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations in large datasets. Provide insights on portfolio performance by analyzing historical data and making recommendations for improvement. Desired Candidate Profile 5-10 years of experience in Credit Risk Analysis & Modeling or related field. Strong background in statistics with expertise in financial analytics, collection analytics, HR analytics, marketing analytics. Proficiency in programming languages like SAS/SQL/Python; knowledge of statistical algorithms is essential.

Job Summary : Senior Specialist - HR Business Partners (HRBP) will oversee the International region and driving HR initiatives tailored to the Indian business operations. This position plays a crucial role in aligning HR strategies with the organizational goals and fostering a positive and inclusive workplace culture. Key Responsibilities : Employee Engagement: Develop and implement initiatives to enhance employee engagement and satisfaction. Conduct regular surveys and gather feedback to identify areas for improvement. Policies: Communicate educate HR policies and procedures. Support compliance team with labour laws and industry regulations. Performance Management System: Oversee the implementation and enhancement of a performance management system. Provide guidance to managers on setting performance expectations and conducting meaningful performance reviews. Rewards and Recognition: Manage comprehensive rewards and recognition programs to motivate and retain top talent. Recognition Management HRBPs are responsible for designing, implementing, and managing employee recognition programs. These programs are aimed at acknowledging and rewarding employees for their hard work, achievements, and contributions to the organization. Feedback Mechanisms: HRBPs facilitate the establishment of feedback mechanisms that allow employees to recognize their peers, creating a culture of continuous appreciation. Retention Strategies: Based on the analysis of attrition data, HRBPs develop and implement retention strategies. These may include competitive compensation packages, career growth opportunities, and work-life balance programs. Predictive Analytics: Using data analytics, HRBPs can predict potential attrition and take proactive measures to retain key talent. This might include interventions like career development opportunities, training, or addressing workplace concerns. Qualifications and Skills : Master s degree in human resources, Business Administration, or a related field 10 - 12 years of proven experience in HR Excellent communication, interpersonal, and negotiation skills

3 - 6 years of experience performing quantitative analysis in the financial services industry preferred but not required. Skilled "hands-on" user of SAS, R, MATLAB, SQL, and/or other statistically programming language required.

Key Responsibilities: Design and implement machine learning models to solve real-world business problems. Work closely with stakeholders to gather requirements, define KPIs, and deliver data-driven recommendations. Analyze large datasets using SQL , Python (Pandas, NumPy, Scikit-learn, etc.) , and derive insights. Create data visualizations and dashboards using tools like Power BI, Tableau , or Matplotlib/Seaborn . Perform A/B testing, statistical modeling, and predictive analytics. Present findings clearly to technical and non-technical stakeholders through visual storytelling. Required Skills: Strong programming experience in Python for data manipulation and modeling. Expertise in SQL for querying relational databases. Proficiency in machine learning techniques (classification, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Plotly. Solid understanding of statistics and data interpretation. Excellent communication and stakeholder management skills.

We are seeking AI/ML engineers to develop, deploy, and optimize advanced AI models. You'll work with cutting-edge tools like OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain to build scalable AI solutions. Job Description: Expertise in Large Language Models (LLMs) and experience with OpenAI API, Hugging Face Transformers, and other NLP frameworks. Proficiency in fine-tuning and deploying pre-trained models for various NLP tasks. Strong knowledge of LangChain for building and managing LLM pipelines. Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) for efficient data retrieval and AI-driven search. Proficiency in embedding techniques for search, recommendations, and semantic similarity tasks. Solid understanding of Prompt Engineering to optimize model performance. Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience deploying ML models using ONNX for scalable and efficient inference. Hands-on experience in developing, optimizing, and maintaining AI/ML models in production environments. Ability to collaborate with cross-functional teams, staying updated on AI advancements to enhance solutions. Job Details: CTC: Best in the industry Role: Software Engineer Functional Area: Development Industry: IT/Software Services

Role: Senior Analyst (Retail Analytics) Exp: 3-8 years Work location: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon Mandatory Skills: SQL + Python + Tableau or PowerBI or Datorama or Looker Studio + Advanced Excel + Statistical Modelling + Retail Analytics Good to have skills: R, SAS, Deep Learning, Artificial Intelligence Interested candidates can share their profiles with bindu@logicalhiring.com References are welcome! For other open roles, please visit - www.logicalhiring.com

Design, develop, and implement data solutions using Microsoft Fabric , including data pipelines, data warehouses, and data marts. Develop data pipelines, data transformations, and data workflows using Microsoft Fabric.

Actuarial - GI - Pricing - Deputy Manager - RNA Full-time Company Description About The Role RolePricing General Requirements: Knowledge of mathematics, probability, statistics and Commercial Insurance business. Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches) Mandatory Requirements: Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies. Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools. Should have built pricing tools/raters on Excel. Should have knowledge on Frequency, Severity modelling and Loss cost modelling. Additional good to have requirements: Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macros Knowledge of ST-8 General Insurance Pricing Actuarial science would be preferable Work experience on GLM modelling Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage. Screening parameters: Work experience in General Insurance Pricing Knowledge on Pricing Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves) Cleared or appeared for Actuarial Science exam- ST-8General Insurance Pricing Modelling (Frequency & Severity modelling) using Emblem/R/SAS/Python Qualifications Proficient in predictive analytics methodology and its use in the insurance industry. Experienced in use of R, Python, and other open-source languages. Familiarity with Willis Towers Watson modeling software preferred. Working knowledge of P&C insurance marketplace. Knowledge and understanding of best practices and the competitive landscape. Job Location Cookies Settings

Job ID: 199995 Required Travel :Minimal Managerial - Yes LocationIndia- Pune (Amdocs Site) In one sentence We are seeking a highly skilled and data-driven People Analytics Manager to lead our HR analytics initiatives. This role requires a unique blend of technical expertise, data insights, gap analysis, business acumen, and stakeholder management to deliver actionable insights that drive strategic workforce decisions. The ideal candidate will have a strong background in data science, business intelligence, and human capital analytics. All you need is... Key Responsibilities: Lead the design, development, and delivery of HR dashboards and reports using tools like Power BI and Tableau. Collaborate with HR leaders, IT, and business stakeholders to identify key workforce challenges and provide data-driven solutions. Combination of techno-functional skill sets in Business Intelligence tools, Advance & Predictive Analytics, Reporting, Operational Dashboards, deep knowledge of HR data and their terminologies, identify and solve for business problems Conduct descriptive, diagnostic, and predictive analytics to support talent management, employee engagement, retention, and workforce planning. Translate complex data into compelling storytelling and visualizations for executive-level presentations Ensure data quality, governance, and compliance with internal and external standards. Leadership capabilities in managing and closing key projects involving Design, Development, Implementation and Delivery of Technical Solutions of various enterprise application products including Release Management Required Skills & Qualifications: Bachelor s or master s degree in computer science, Data Science, Statistics, HR Analytics, or related field. 10+ years of experience in data analytics, with at least 3 years in People Analytics or HR Analytics. Skills BI Expert in Power BI & Tableau, Machine Learning, SQL, Advanced MS Excel, R Script, Python, Automation(VBA), Predictive analytics and Storytelling Strong understanding of HR data, metrics, and KPIs. Excellent communication and stakeholder management skills. Certifications in ITIL, Six Sigma, or Data Science are a plus. What will your job look like You will be responsible for Implementation Management - Setup and drive Product implementation lifecycle of a project You will lead the team to resolve technical challenges You will lead unit level initiatives to build the technical competency to meet the needs of the team or unit You will be accountable for software development and/or maintenance project planning, execution, monitoring, risk management, resolution of issues and achievement of the targets set for the project You will monitor the progress and predict risks (Quality, timeline and budget) as needed and take necessary mitigation activities Why you will love this job: Work with a passionate team at the intersection of HR and Data Science. Drive meaningful impact through data-informed decision-making Be part of a culture that values innovation, learning, and collaboration. Who are we Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

Gain a comprehensive understanding of the process and data flow. Acquire in-depth knowledge of the reports provided by GB Outsourcing. Create analytics and reports for insurers to enable strategic decision-making based on various facts, figures, and trends. Develop analytics for internal stakeholders and provide regular feedback. Work with the business to develop new products and evaluate their impact. Additionally, collaborate with stakeholders to understand their needs and provide data-driven insights to inform decision-making. Translate analytical insights into strategic recommendations and effectively communicate them to both technical and non-technical stakeholders. Adapt to a fast-changing environment, switching priorities as needed while producing high-quality and accurate reports. Innovate by proposing and implementing ideas for new reports and process simplification Qualifications Qualifications: Tech (coding) Graduate or Post-Graduate in Data Science Experience: 2-3 years of experience in analytics profile with working knowledge to predictive analytics preferably Technical Competencies: Experience in SQL, R, Python, with VBA optional Working knowledge on capabilities of Gen AI Background in Computer Science & Statistics preferred. Data Analysis and Interpretation Skills: Impactful written and verbal communication Strong team player Business acumen Problem-solving, quantitative, and analytical skills Logical thinking Highly self-driven in managing your own portfolio and assigned responsibilities with accuracy. Technical competency to do complex work independently. Ability to prioritize tasks and meet project deadlines

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Evaluate agreement price requests, execute DOA processes, and ensure commercial documentation (e.g., volume rebates, price guarantees, Long Term Pricing Agreement, Pricing Contract) is compliant. Drive agreement renewal and consolidation efforts to achieve 100% on-time renewals and eliminate redundant contracts, collaborating cross-functionally to align pricing with product/sales strategies and revenue recognition goals. Partners with Sales/Marketing, Business Development and Finance to correctly position product portfolio and establish pricing programs aligned with product/sales strategy and revenue recognition requirements. Forecast the impact of pricing changes, promotions, and rebate programs on revenue, providing actionable insights to sales, marketing, and finance teams. Process RFQs, and Special Price Requests in GPMS, prioritizing timely delivery and alignment with global pricing policies. Process agreement price and validity update via PROS. Utilize all TE pricing systems for daily work, including but not limited to PROS, GPMS, Tableau, SAP, TPEX, TED etc. What your background should look like: 3+ years of Pricing experience Experience in pricing products in different life cycle stages Experience in pricing new products and customer pricing analytics Self-motivated, ability to proactively drive business improvements Able to work with global cross-functional team efforts focused on process implementation & execution Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). Location

Senior Analyst, Field Analytics (Bengaluru) India, Bengaluru Get to know Okta Okta is The World s Identity Company. We free everyone to safely use any technology anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We re building a world where Identity belongs to you. As part of Okta s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the field organization. We oversee the analytics and strategic analysis that enable our leaders to make data-driven decisions. The Senior Analyst, Field Analytics role will be close to the company s most critical performance data and develop a keen understanding of how Okta acquires revenue. In this role, you ll transform complex datasets into structured analyses and turn insights into action by building tools and processes that help determine the trajectory of Okta s rocket ship. You ll partner with a diverse group of functional teams such as Field Operations, Customer First Operations, FP&A, and Data & Insights to ensure alignment with our go-to-market plan, data infrastructure, and strategic initiatives. Job Duties & Responsibilities: Help deliver analytic assets (reports, dashboards) as well as one-off analyses, and insights to business partners across the organization Monitor key business metrics, initiate and perform deep dives where required and alert business to challenges and opportunities Work cross-functionally to build a narrative around key business metrics and trends for senior leadership in support of our go-to-market strategy and initiatives Partner with the data team, sales operations, customer success and other teams to enable business units to make data driven decisions Become an expert on how our data is captured as well as how it ties to underlying business processes. Identify operational gaps or inefficiencies, and work with Data and Business Systems teams to capture requirements for solutions. Required Skills & Qualifications 4+ years working in an operational and analytical capacity, preferably in a SaaS company Experience with Tableau or other analysis/BI tools Strong SQL skills and experience using SQL to write queries and perform analysis Excellent quantitative and MS Excel skills (i.e. sumifs, index/match and vlookup, table formulas) Endless curiosity and a need to dive deeper for understanding. Excellent written and verbal communication skills. Self-motivation, with the desire and capacity to work both independently and collaboratively. Preferred Qualifications Proficiency with scripting (python) & data modelling (dbt) Experience in enterprise software, field operations and sales processes Understanding of or experience building statistical modelling and predictive analytics #LI-CS7 What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/ . Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. 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Job Information Job Opening ID ZR_2004_JOB Date Opened 18/07/2023 Industry Technology Job Type Work Experience 4-6 years Job Title Data Analyst City Chennai Province Tamil Nadu Country India Postal Code 600034 Number of Positions 2 3 - 6 years of experience performing quantitative analysis in the financial services industry preferred but not required. Skilled "hands-on" user of SAS, R, MATLAB, SQL, and/or other statistically programming language required. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Title: Senior Manager Business Analytics Location: Hybrid, India Company: Miko About Miko: Miko is an advanced consumer robotics company dedicated to transforming the way young learners engage with technology. Our AI-powered robots use playful, conversational learning to educate, entertain, and inspire kids aged 5 and above. With a presence in 140+ countries, including the US, UK, UAE, and India, Miko is shaping the future of interactive learning. To know more about Miko, log onto our website Role Overview: We are looking for a Senior Manager Business Analyst to drive data-driven decision-making across business and product functions. The ideal candidate will be responsible for defining key business metrics, developing reporting frameworks, identifying process inefficiencies, and providing strategic recommendations based on complex data analysis. This role demands strong analytical expertise, business acumen, and a problem-solving mindset to translate raw data into actionable insights that influence company strategy. Key Responsibilities: 1. Data Modeling & Dashboard Development Design and implement data models, reporting infrastructure, and dashboards to support business decision-making. Develop automated reports and visualizations using Power BI, Tableau, or Google Data Studio. Conduct deep-dive analysis on business performance, trends, and key drivers. 2. Business Process Optimization & Decision Support Identify inefficiencies in business processes and drive the adoption of data-driven solutions. Partner with product and business teams to provide insights that optimize operational performance and enhance user experience. Influence new business opportunities and strategies based on internal and external data analysis. 3. Advanced Analytics & Problem-Solving Execute quantitative analysis to identify trends, anomalies, and growth opportunities. Develop statistical models and predictive analytics to improve forecasting and strategic planning. Provide actionable insights that drive user engagement, revenue growth, and operational efficiency. 4. Stakeholder Collaboration & Data-Driven Culture Work closely with cross-functional teams to enable a data-driven approach in decision- making. Present analytical findings to senior leadership, translating complex data into clear business recommendations. Establish best practices for data accuracy, collection, and governance. What You Bring: Required Qualifications & Skills: 5+ years of experience in business analytics, data science, or a similar analytical role. Bachelors degree in Engineering, Computer Science, Mathematics, Statistics, or a related discipline. Expertise in SQL, Excel (Pivot tables, VLOOKUP, HLOOKUP, graphs), and data visualization tools (Power BI, Tableau, QlikView, Google Data Studio, etc.). Strong knowledge of analytics platforms like Mixpanel, Google Analytics, and Clevertap. Experience handling large, multi-dimensional datasets and executing complex data analysis. Ability to synthesize data, identify patterns, and present insights in a compelling manner. Strong critical thinking, problem-solving, and business process optimization skills. Ability to multitask in a fast-paced environment and work on diverse business requirements. Preferred Qualifications: Understanding of statistical tools and machine learning techniques. Prior experience in a consumer tech, robotics, or AI-driven company.