523 Predictive Analytics Jobs - Page 2

This role involves the development and application of engineering practice and knowledge in the following technologiesElectronic logic programs (FPGA, ASICs); Design layout and verification of integrated circuits (ICs),printed circuit boards(PCBs), and electronic systems; and developing and designing methods of using electrical power and electronic equipment; - Grade Specific Focus on Electrical, Electronics and Semiconductor. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

The Data Analytics and Insights Manager role within Piramal Pharma Solutions" Strategic Marketing department in Kurla, Mumbai involves driving data-driven decision-making through advanced analytics, artificial intelligence (AI), and machine learning techniques. The primary focus of this position is to leverage technology for automated data extraction, actionable insights generation, and predictive analytics to support business growth. The ideal candidate will be responsible for automating data integration from diverse sources, identifying key trends through data mining, and delivering strategic insights to optimize marketing and sales strategies. Key stakeholders for this role include internal senior sales leadership, marketing team, and commercial teams, as well as external data providers and market research agencies. The Data Analytics and Insights Manager will report to the Head of Strategic Marketing. The essential qualifications for this position include a Bachelor's degree in Data Science, Business Analytics, Marketing, or related fields, with additional certifications in AI, machine learning, or data analytics platforms being preferred. The ideal candidate should have a minimum of 2+ years of experience in data analytics, business intelligence, or related fields, along with proficiency in predictive analytics, machine learning, and data science techniques. Experience with Salesforce, CRM systems, and data extraction technologies is required, with familiarity with the Pharma domain and knowledge of Marketo being advantageous. Key responsibilities of the role encompass various aspects of data analytics, including data extraction and automation using advanced techniques, predictive analytics and insights generation through machine learning and AI-driven algorithms, competitor and market trend analysis, Salesforce data analytics, collaboration with sales and marketing teams, advanced reporting and visualization, and support for inside sales efforts. Key competencies expected from the Data Analytics and Insights Manager include advanced data analytics skills, technical proficiency in data extraction and automation tools, expertise in leveraging Salesforce data, automation and web scraping capabilities, business acumen, and insight generation skills to drive actionable business strategies. Piramal Pharma Solutions (PPS) is a Contract Development and Manufacturing Organization (CDMO) offering end-to-end development and manufacturing solutions across the drug life cycle. The organization serves customers globally through a network of facilities in North America, Europe, and Asia, providing services such as drug discovery solutions, process & pharmaceutical development services, clinical trial supplies, commercial supply of APIs, and finished dosage forms. PPS also specializes in highly potent APIs, antibody-drug conjugations, sterile fill/finish, peptide products & services, and potent solid oral drug products, as well as development and manufacturing services for biologics including vaccines, gene therapies, and monoclonal antibodies. Piramal Group, under which PPS operates, has pursued a twin strategy of organic and inorganic growth over three decades. The group is committed to inclusive growth and ethical practices, offering equal employment opportunities based on merit and considering qualifications, skills, and achievements. In summary, the Data Analytics and Insights Manager role at Piramal Pharma Solutions requires a skilled professional with a strong background in data analytics, machine learning, and AI, along with technical expertise in data extraction, automation tools, and Salesforce analytics to drive data-driven decision-making and support business growth.,

The Lead Product Manager - Conversational AI at IDFC First Bank plays a crucial role in developing and expanding AI-powered solutions to elevate customer experience, streamline processes, and drive decision-making efficiency within the realm of banking products. Working closely with a diverse team including data scientists, AI engineers, digital banking specialists, and compliance professionals, you will lead the charge in crafting AI-driven tools such as personalized services, conversational banking interfaces, and risk assessment mechanisms. Your responsibilities will include shaping the roadmap for Conversational AI in the digital banking sphere, with a focus on enhancing customer interaction, fortifying fraud prevention measures, and optimizing operational workflows. By collaborating with AI/ML experts, data analysts, and business units, you will oversee the implementation of AI-based innovations like chatbots, predictive analytics, and intelligent financial advisors. Furthermore, you will spearhead the development of AI-infused credit risk evaluation models to bolster loan underwriting processes, while also liaising with regulatory and compliance teams to ensure that these models adhere to banking standards and ethical AI guidelines. Defining key performance indicators (KPIs) for assessing AI adoption rates, accuracy levels, and customer-centric impacts will be a crucial aspect of your role, alongside managing multifaceted teams to seamlessly transition AI features from testing phases to full-fledged production environments. Staying abreast of the latest trends in AI within the fintech and banking sectors, you will leverage industry best practices to drive scalable AI deployment strategies that align with organizational goals and industry benchmarks. Education Qualifications: - Bachelor's degree in any relevant field - Post-graduation in any discipline Experience: - 7 to 10 years of relevant experience in the field,

As a seasoned fullstack developer, you will be responsible for leading the development of various products while leveraging your expertise in AI/ML and market & website analytics. Your role will be pivotal in the creation of intelligent platforms and driving data-informed decisions. You will lead the fullstack development of products, with a preference for utilizing technologies such as Node.js, React/Angular, and MongoDB/PostgreSQL. Additionally, your role will involve building and integrating AI-powered features like NLP, predictive analytics, and recommendation systems. Analyzing data from tools like Google Analytics, Mixpanel, and Amplitude will be crucial, along with developing dashboards and data visualizations to support marketing and product teams. Collaboration with designers, data engineers, and product managers will be essential to align technological developments with business strategies. You will take ownership of product performance and conversion metrics, conducting regular audits and implementing improvements based on evaluations of user behavior, funnels, and attribution data. To excel in this role, you must possess strong fullstack capabilities including JavaScript, Node.js, React/Angular, APIs, and databases. Practical experience in AI/ML frameworks such as Python, TensorFlow, and Hugging Face, along with proficiency in website analytics, user behavior tracking, and A/B testing, are required. Experience in building or integrating marketing analytics systems and the ability to generate meaningful insights from data for stakeholders are crucial aspects of this position. Knowledge of SEO, CRO, and performance optimization best practices will also be beneficial. In summary, this role offers an exciting opportunity for a skilled fullstack developer to contribute to the development of intelligent platforms, drive data-informed decisions, and collaborate with cross-functional teams to ensure alignment with business objectives.,

You are Goodyear's next Data Analyst for the Demand Planning team. In this role, you will be responsible for analyzing and forecasting demand patterns, optimizing inventory, and ensuring efficient supply chain operations. Your key focus will involve collaborating with various teams such as supply chain, sales, and marketing to drive demand planning processes based on accurate data insights and predictive analytics. Your primary duties and responsibilities will include: - Conducting demand forecasting by analyzing historical sales data, market trends, and other factors to develop precise demand forecasts for different products and regions. - Developing and maintaining statistical models and demand planning tools to predict future demand and identify trends. - Assisting in creating short-term and long-term demand forecasts aligned with company objectives and market conditions. - Collecting, cleaning, and analyzing large datasets to uncover insights related to demand patterns, seasonality, product performance, and market dynamics. - Generating regular reports on demand forecasts, inventory levels, and supply chain performance for key stakeholders. - Monitoring demand and supply variations to provide actionable insights for risk mitigation. - Working closely with cross-functional teams to align demand planning with business strategies, promotions, and seasonal fluctuations. - Supporting inventory management by analyzing stock levels and recommending adjustments based on demand trends and product lifecycle. - Continuously evaluating and improving demand planning tools, processes, and methodologies. - Tracking key performance metrics such as forecast accuracy, inventory turnover, demand variability, and order fulfillment rates. - Analyzing root causes of demand forecast errors and implementing best practices for continuous improvement. Goodyear, a global tire company with a workforce of 74,000 people and manufacturing facilities in 23 countries, is dedicated to developing cutting-edge products and services through its Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg. Join us in setting the technology and performance standard for the industry. For more information about Goodyear and its products, visit www.goodyear.com/corporate.,

The S&C Global Network - AI - T&O - Human Capital Analytics Analyst role based in Kolkata, KDC1A involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As part of the Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, the consultants provide analytically-informed, issue-based insights at scale to help clients improve outcomes and achieve high performance. The importance of sound analytical decision-making and the relationship of tasks to the overall project are key aspects of executing projects in the context of business performance improvement initiatives. In this pivotal role as a Data Science Consultant for an Advanced People Analytics practice, you will develop advanced statistical models to support HR Analytics offerings and solutions. Expertise in Python programming language, ML API integrations, SQL, Relational and Non-Relational Databases, and cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis are required. Proficiency in AWS/AZURE Cloud Services and architecting effective, scalable, and easy-to-understand dashboards and reporting solutions is crucial. The role also involves being a data storyteller, producing concise, story-driven reports and presentations to communicate analytic insights. Building product-ready dashboards using Power Bi and Tableau, developing new KPIs, metrics, and deriving strategic insights, as well as excellent communication skills to translate business problems into analytic problems are key responsibilities. Strong relationships with clients, managing project teams, engaging and collaborating with diverse teams, resolving complex issues creatively, and executing regular and ad-hoc reporting on key HR metrics are part of the role. The ideal candidate should have a Master's degree in Economics/Statistics/Mathematics/Engineering or related Analytics discipline from a premier institute, with over 5 years of experience in the Analytics domain and 2-3 years in people/Human analytics or a relevant domain. Strong problem-solving skills, communication skills, leadership experience, and experience with predictive analytics, machine learning, or statistical modeling are required. Knowledge of PySpark/PyTorch framework, Data Governance, Cloud Integrations, Change Management, Big Data Technologies, Html 5/js skills, and optimization theory is appreciated. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure.,

vConstruct , a Pune based Construction Technology company seeks a Senior Data Scientist for their Data Science and Analytics team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct.If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Location: Pune: Magarpatta or Baner Key Responsibilities: Think strategically & collaborate with cross-functional teams to identify business use cases and solutionize with scalable technical solutions. Analyze construction project data and develop predictive models using traditional data science methods and Generative AI. Apply machine learning algorithms to improve key processes such as project execution, safety, and risk assessment. Design, Lead & Own scalable end-to-end development of predictive, ML models, from hypothesis generation to deployment and monitoring. Build, validate, and optimize machine learning and statistical models using best-in-class techniques. & QC models developed by Jr. Data Scientists and ML Engg. Work closely with Engineering & business team to understand the data, business terms, processes to create, suggest and implement solutions accordingly. Stay current with advancements in data science and machine learning to help leveraging Companys data. Use statistical techniques to detect anomalies and optimize operational workflows, ensuring projects are delivered on time and within budget Collaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools. Qualification: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 5-8 years of professional experience with atleast 3 years of experience in data science, machine learning, and analytics, with a proven track recordof delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Expertise in programming languages such as Python, R, or Scala. Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong experience in statistical modeling, predictive analytics, clustering, classification, regression & multi-variate techniques. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Strong understanding of SQL and working with relational databases. Good to have knowledge of NLP(Natural Language Processing) and Computer Vision.

Experience Minimum of 2 years of experience in AI/ML/Data Science Summary: The Associate AI/ML/Data Science will be responsible for assisting with the development and deployment of AI/ML models and solutions. They will work with cross-functional teams to collect and analyze data, build models, and implement solutions to help the organization make data-driven decisions. Key Skills: Strong understanding of machine learning algorithms and techniques Proficiency in programming languages such as Python, R, or SQL Ability to collect, clean, and manipulate data Knowledge of data visualization techniques Excellent problem-solving and analytical skills Requirements: Bachelor's or Master's degree in Computer Science, Mathematics, or related field 2+ years of experience in AI/ML/Data Science Strong understanding of machine learning algorithms and techniques Proficiency in programming languages such as Python, R, or SQL Ability to work in a fast-paced and agile environment Responsibilities: Assist with the development and deployment of AI/ML models and solutions Collect and analyze data to inform model development Build and test AI/ML models Implement solutions and integrate with existing systems Collaborate with cross-functional teams to ensure solutions meet business needs Continuously monitor and improve model performance Stay up-to-date with the latest AI/ML technologies and techniques. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law .

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Design and execute real-world evidence studies using diverse data sources such as claims, EHR, and patient surveys to evaluate the value of medical interventions Conduct advanced statistical and econometric analyses to support health outcomes research and inform healthcare decision-making Collaborate with cross-functional teams and clients to develop research protocols, manage project timelines, and ensure high-quality deliverables Contribute to scientific dissemination through manuscripts, abstracts, and conference presentations, supporting the generation of peer-reviewed publications Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience Technical Skills: Proficiency in statistical software such as SAS, R, STATA, or SQL; experience with real-world data sources like claims, EHR, and registries Research ExpertiseDemonstrated solid foundation in study design, econometric modeling, and outcomes research methodologies CommunicationDemonstrated excellent written and verbal communication skills, with experience in medical writing, including manuscripts, abstracts, and posters CollaborationDemonstrated ability to work in cross-functional teams and manage multiple projects in a client-facing environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission.

SFour Media Private Limited is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

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Project Role : Service Management Practitioner Project Role Description : Support the delivery of programs, projects or managed services. Coordinate projects through contract management and shared service coordination. Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda. Must have skills : Sybase Database Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Service Management Practitioner, you will support the delivery of programs, projects, or managed services. Your typical day will involve coordinating various projects through effective contract management and shared service coordination. You will also focus on developing and maintaining relationships with key stakeholders and sponsors, ensuring high levels of commitment and enabling the strategic agenda of the organization. This role requires a proactive approach to problem-solving and a commitment to fostering collaboration across teams to achieve shared goals. 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 communication between stakeholders to ensure alignment on project objectives.- Mentor junior team members to enhance their skills and knowledge. Professional & Technical Skills: - Must To Have Skills: Proficiency in Sybase Database.- Strong understanding of database management and optimization techniques.- Experience with performance tuning and troubleshooting of Sybase databases.- Familiarity with data migration processes and strategies.- Ability to implement security measures and data integrity protocols. Additional Information:- The candidate should have minimum 7.5 years of experience in Sybase Database.- 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: Capacity Planning & Forecasting - Customer Acquisition Strategy & Implementation Designation: Workforce Services Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 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.Responsible for developing and managing accurate long-term forecasting models. These forecasts inform staffing, budgeting, and operational decisions across multiple business units and channelsDesign and implement strategies to assist our clients in their strategies to grow and acquire customers. What are we looking for Analyze historical data, run rate efficiency assumptions and future trends and operational data to deliver accurate forecasts. Run sensitivity-based analyses to identify risks. Develop, maintain, and continuously improve forecasting models (volume, workload, and shrinkage) using historical data, trends, and predictive analytics. Ensure all product outlooks are understood and reflect expectation based on detailed knowledge of the product area, ensure that this is clearly articulated both verbally and in writing to all Stakeholders Forecast long term visit demand and job times for field mobility workforce, using historical propensities and commercial drivers. Forecast long term contact demand and call handling time (AHT) for service contact center, using historical propensities and commercial drivers Analyze daily, weekly, and monthly patterns to support dynamic staffing recommendations and capacity planning. Collaborate with business stakeholders (Operations, Finance, HR, etc.) to align forecasts with business objectives and known drivers (marketing campaigns, product launches, seasonality). Create scenario planning models to simulate and present impacts of potential business changes or disruptions. Python (Programming Language) NICE IEX, Genesys5+ years of experience in workforce management forecasting, preferably in a contact center or service operations environment. Advanced proficiency in Excel and data analytics tools (e.g., R, Python). Experience with WFM software (e.g., NICE IEX, Genesys) Strong analytical skills, attention to detail, and a passion for using data to drive operational outcomes Real sense of ownership and accountability to deliver against plan. Exceptional analytical and problem-solving skills, with attention to detail and accuracy. Ability to forge positive, objective relationships with Client, Operations and Support teams. Adapt, thrive and multitask in a demanding workplace while managing pressure, deadlines and conflicting and shifting priorities. Proficiency in basic arithmetic and statistical concepts and strong logical ability desired with strong mathematical calibration skill. Must demonstrate perceptive, thorough and decisive approach to problem solving. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Communicate forecasts and insights to stakeholders through clear visualizations, reports, and presentations. Monitor actual performance against forecasts, perform variance analyses, and refine forecasting methods accordingly. Lead or contribute to workforce planning projects, tools, or initiatives aimed at improving forecast accuracy and operational efficiency. Mentor junior analysts and forecasters, sharing best practices and helping to develop team capability. Work closely with the Capacity planning team and communicate the changes in demand proactively to be baked in the capacity planning team. Create process maps, standard working instructions for the areas they are responsible for. Qualification Any Graduation

As a Senior Manager/Associate Director in the Technology Strategy & Advisory Practice at Accenture, you will have the opportunity to work with our most strategic clients and enable them to achieve exceptional business value through technology. Your role will involve focusing on Enterprise Architecture and Business Transformation in locations such as Bangalore, Gurugram, and Mumbai. In this role, you will be part of a high-performing team that assists clients in achieving growth and efficiency by implementing innovative R&D transformations and agile methodologies to redefine their business models. You will have the chance to work closely with enterprise leaders, product managers, and product owners to drive transformative strategic value and business growth. Your responsibilities will include facilitating alignment between business and IT stakeholders, analyzing trends and disruptions, and assessing their impact on business outcomes. You will help the organization achieve targeted outcomes related to revenue growth, cost optimization, risk mitigation, and sustainability improvements. Additionally, you will focus on developing business and IT strategies and enterprise architecture for the organization as a whole. As a Technology Strategy & Advisory leader, you will demonstrate competencies in supporting the formulation of strategy, guiding execution, building and maintaining relationships, enabling value-based messaging, orchestrating the delivery of business outcomes, and supporting solution design and delivery. Your role will involve connecting strategy to execution, building the technology value proposition, and supporting solution design and delivery. To excel in this role, you should possess a master's or bachelor's degree in business, computer science, computer engineering, electrical engineering, or a related field. You should have at least 15 years of business experience in strategic and operations planning, as well as 10 years of experience in disciplines such as business, information, solution, or technical architecture. Your technical skills should include knowledge of business ecosystems, various IT architectures, agile methodologies, and enterprise architecture frameworks. Industry experience in digital transformations within the banking or insurance sector is highly desirable, along with certifications like BIAN. Additionally, you should demonstrate competencies in analytical skills, planning, organizational abilities, and effective leadership. In this role, you will have the opportunity to work on transformative projects with key clients, co-create innovative solutions, and develop your skills through personalized training modules. You will be part of a culture committed to equality and boundaryless collaboration, driving innovation and creating sustainable value for stakeholders. Join Accenture, a leading global professional services company, and be part of a team that leverages technology to help clients improve performance and create a better world. If you have ideas, ingenuity, and a passion for making a difference, come and be a part of our team at Accenture.,

Tezo is a new generation Digital & AI solutions provider, renowned for delivering exceptional outcomes to customers through cutting-edge analytics, data proficiency, technology, and digital excellence. We are currently looking for a highly experienced and dynamic Practice Head in Data Science & AI to spearhead our data practice in Hyderabad. This role is tailored for a technology leader well-versed in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), with a track record of building and expanding data practices. The ideal candidate should possess strong business acumen, experience in solution selling, and pre-sales expertise. As the Practice Head in Data Science & AI at Tezo, you will have the following key responsibilities: Leadership & Strategy: - Create and execute the strategic vision for the Data Science and AI practice. - Form and lead a high-performing team comprising data scientists, ML engineers, and AI experts. - Collaborate with various teams to embed data-driven solutions within broader business strategies. Technical Expertise: - Oversee the design and implementation of advanced AI/ML solutions across diverse domains. - Stay updated on industry trends, emerging technologies, and best practices in AI, ML, and data science. - Offer technical guidance and hands-on support for key initiatives. Practice Development: - Establish frameworks, methodologies, and best practices to enhance the scalability of the data science practice. - Define and deploy reusable components, accelerators, and IPs to streamline solution delivery. Client Engagement & Pre-Sales: - Assist in business development by collaborating with sales teams to identify opportunities, craft proposals, and deliver presentations. - Engage in solution selling by tailoring AI/ML-based solutions to meet client requirements. - Cultivate strong client relationships and serve as a trusted advisor on their data journey. Required Skills & Experience: - Minimum of 12 years of experience, with at least 5 years in leading data science/AI teams. - Demonstrated expertise in establishing or leading data science or AI practices. - Strong technical background in AI, ML, NLP, predictive analytics, and data engineering. - Proficiency with tools and platforms such as Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, among others. - Sound understanding of data strategy, governance, and architecture. - Proven track record in solutioning and pre-sales engagements. - Excellent communication, leadership, and stakeholder management skills.,

You will be joining a global team dedicated to protecting, healing, and nurturing in the pursuit of a cleaner, healthier world. As part of the Information Technology & Digital department, you will play a vital role in championing cyber security, leveraging technology to enhance business operations, and utilizing data to drive innovation in consumer products. Your main responsibilities will include leading the evolution of Reckitt South Asia's data stack, managing data integrity and confidentiality, collaborating with cross-functional teams to integrate analytics solutions, applying mathematical and statistical principles along with AI/ML algorithms to tackle business challenges, staying updated on industry trends, and ensuring adherence to global guidelines as a regional product manager for data solutions. We are looking for a data scientist & analytics lead with 3-6 years of experience in consumer goods/ durables/ retail/ food & beverages/ electronics industry, proficient in Python and relevant libraries/frameworks, experienced in data modeling, visualization, and building/managing data pipelines, possessing strong problem-solving skills, and the ability to manage multiple stakeholders and drive initiatives. Key skills required for success in this role include Data Science, Analytics, Power BI, statistical Analytics, Predictive Analytics, ML, NLP, FMCG, Mix Market Modelling, and Customer Segmentation. We offer a supportive environment that values inclusion and individual growth, where your potential and unique qualities are recognized and appreciated. If you are passionate about leveraging data to drive business value and are excited about contributing to a cleaner, healthier world, we encourage you to apply even if you do not meet every requirement listed in the job description. Your potential and fit with our company culture are equally important to us.,

METRO Global Solution Center IN is looking for Manager - Data Science & AI to join our dynamic team and embark on a rewarding career journey Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Key Skill Required: Skilled in Playwright for UI test automation across browsers. Experience with BDD using Cucumber for business collaboration. Integrated test scripts with CI/CD and analyzed test results. Proficient in Core Java, Selenium, JUnit, and TestNG. Hands-on with REST Assured, Maven, and Docker. Knowledge of hybrid frameworks and defect reporting.

Role Overview We are looking for a Data Scientist to develop and implement advanced analytics solutions. The role involves working with complex datasets and developing machine learning models. Key Responsibilities Develop and implement machine learning models Analyze complex datasets and extract insights Create predictive analytics solutions Collaborate with cross-functional teams Present findings to stakeholders Drive data-driven decision making Requirements Education Masters/PhD in Data Science, Statistics, or related field Experience 5+ years of experience in data science Strong background in machine learning Experience with big data technologies Technical Skills Expertise in Python, R, and SQL Experience with ML frameworks Knowledge of big data tools Understanding of statistical methods Soft Skills Strong analytical and problem-solving skills Excellent communication abilities Research and innovation mindset

1. Organize training programs on Planning & Installation for all new dealers. 2. Maintain the profitability as per the costing furnished by sales team. 3. Handle all major projects and complete within the agreed timeline. 4. Visit all dealer jobs periodically and maintain the quality of Installation as per the standards. 5. Train and develop the dealer team on all new products introduced 6. Maintain good PR with all key customers during the installation stage and collect satisfaction letters. 7. Provide the necessary cost variance reports for all major jobs executed. 8. Release timely work orders to dealers on NAD / Key customer jobs. 9. Submit necessary documentations and bills to customers and facilitate timely collection. 10. Furnish continuous feedback on the product quality to the Product Managers and contribute for improvement. 11. Support Channel Partners with necessary spares during the pre commissioning failures 12. Prepare pre commissioning failure reports to Quality / Factory and get necessary credit to branch. 13. Claim timely insurance on damaged machines delivered at warehouse/sites and follow up for necessary settlement. 14. Ensure to get credits for spares issues during pre-commissioning failure from factory 15. Ensure there are no escalations, in case of any escalations resolve the same at earlie Key Responsibilities: Short Info Posted: 0 day(s) ago Location: Jaipur Qualifications: BE Experience: 3 Years - 0 Months To 6 Years - 0 Months

1- Business expansion strategy leveraging enriched data of locations to identify profitable locations 2- Optimize health claims through optimizing on claims process leveraging data and analytics 3- NPS improvement using customer loyalty program as well as claims settlement data and analytics 4- Identification of fraud/nexus using claims optimization and fraud prevention strategy

To lead a small team and ensure the seamless execution of delegate registration and data management for the Zak World of Fa ades conference series. This role is pivotal in delivering a high-quality registration experience for attendees, maintaining accurate data records, and supporting the overall success of the event operations. Qualification: Graduate. Preferably a PGDM in Events Management. Should have handled RSVP for 2-3 years. Fluency in spoken English is a must. . Please make sure to mention the title of the job position youre applying for in the subject line of your email.

You will be working as a Business Development Manager - Blockchain at Shivacha Technologies, a leading company specializing in blockchain and artificial intelligence (AI) development. Located in Gurugram, India, the company focuses on providing innovative solutions for digital transformation by enhancing security, transparency, and efficiency through decentralized systems and intelligent technologies. Your role will involve identifying new business opportunities, maintaining client relationships, and forming strategic partnerships. This full-time, on-site position requires you to collaborate with the technical team to ensure client requirements are met and proposed solutions align with the company's blockchain and AI services. To excel in this role, you should possess a strong knowledge of Blockchain development, Smart Contract development, and Decentralized Application (dApp) development. Additionally, experience in AI technologies such as machine learning, predictive analytics, and AI integration will be valuable. A successful track record in business development, client relationship management, and forming strategic partnerships is essential. Excellent communication, negotiation, and presentation skills are required, along with the ability to convey technical concepts to non-technical stakeholders effectively. A Bachelor's degree in Business Administration, Marketing, Information Technology, or a related field is necessary, and prior experience in the technology and consulting industry would be advantageous. Join Shivacha Technologies to contribute to the growth and success of businesses in the digital realm.,

As the Lead Decisioning Architect, you will play a crucial role in designing and architecting Pega Decisioning solutions that are in line with business objectives, focusing on scalability, performance, and maintainability. Your responsibilities will include leading the development and implementation of decisioning strategies utilizing machine learning, predictive analytics, and complex business rules to enhance customer interactions and business outcomes. You will also be tasked with defining, configuring, and optimizing intricate business rules, decision logic, and decision tables within Pega Decisioning to meet business requirements and compliance standards. Furthermore, your role will involve managing adaptive and predictive models within the Pega Decisioning platform to enhance accuracy and effectiveness continuously. You will oversee the integration of data from various sources to facilitate data-driven decision-making, collaborating closely with business stakeholders, data scientists, developers, and other teams to ensure successful implementation and ongoing optimization of decisioning solutions. In addition, you will be responsible for monitoring, analyzing, and fine-tuning decisioning strategies to enhance efficiency, responsiveness, and overall performance while ensuring compliance with regulatory standards. Your role will also entail creating and maintaining comprehensive documentation related to advanced decisioning strategies, models, and configurations. To excel in this role, you should possess excellent interpersonal skills and the ability to effectively communicate, collaborate, and partner with others. Your dedication to achieving outstanding results, coupled with a driven and team-oriented approach, will be essential. You should be adept at quickly grasping new concepts and technologies and effectively explaining them to both business and IT stakeholders. Strong expertise in data analysis, machine learning, predictive modeling, and complex business rule development is required, along with exceptional problem-solving and analytical capabilities. Moreover, you should be comfortable working both independently and in teams, with advanced knowledge of SQL. Your role as the Lead Decisioning Architect will be instrumental in shaping decisioning strategies that drive business success and optimize customer interactions.,

As a suitable candidate for this position, you should hold a Bachelor's degree in Computer Science, Statistics, Math, Engineering, or a related field. With a minimum of 4-10 years of experience in Business Intelligence/Digital Transformation, specifically supporting a Financial Operations function, you should possess the ability to effectively communicate with end users, development managers, and other stakeholders. Your proficiency in Business Process Model and Notation (BPMN) is essential, along with expertise in Data Visualization using tools like Tableau and proficiency in database query languages such as SQL. Your experience should also include gathering and documenting requirements with full testing traceability, as well as utilizing project tracking tools like JIRA or Confluence. Additionally, experience in predictive analytics using tools like Alteryx or Python is required, as well as creating and maintaining ETL processes using a wide range of tools. You should be analytical, self-motivated, detail-oriented, and possess strong problem-solving skills. The ability to work effectively within a high-risk environment, while meeting challenging deadlines and targets, is crucial for success in this role.,