1600 Predictive Modeling Jobs - Page 45

Developing models: Building and improving mathematical models for trading, forecasting, or data processing Conducting research: Analysing large datasets to identify trends and insights, and conducting research on financial markets and economic conditions Coding Skills: Strong coding skills in Python and other languages Using unconventional data: Using unconventional data sources to drive innovation Translating algorithms: Translating mathematical models into algorithms Managing Risk: Building Mathematical Models to help manage risk of a product or strategy Predictive Modelling: Building Predictive Model based on historical data on Monte Carlo Modelling Pseudo Code: Capability to write Pseudo Code and Python Code to test a mathematical model Systems: Good understanding of trading systems and trade execution process to limit latency and slippages Market Understanding: Good understanding of the Financial and Capital Markets Other Skills: Oversee the development and implementation of investment strategies using mathematical and statistical tools Conversant in the use of AI, ML and LLMs to improve productivity Compliance and Risk Management: Ensure the firms practices comply with SEBI regulations and other relevant legal requirements. Identify mathematical and statistical models for risk management of strategies and products Implement and monitor internal controls to manage and mitigate risks effectively. Qualifications: Bachelors degree in Maths, Master Preferred or Pursuing PhD in Maths Relevant experience in mathematics, statistics, computer science, or finance preferred Minimum of 3-5 years of experience in building mathematical models and Data Sciences Proven ability to develop and execute mathematical models in live market strategies High ethical standards and a commitment to acting in clients' best interests.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; > Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systemsthe ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZSs Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. Associate Consultant, Customer Success, BHCA: Customer Success Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What Youll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment) Problem solving and Client engagement Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding & impact communication Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on teams work and ensuring high quality client deliverables Team management Export best practices and learnings to broader team and mentor Associates on teams What Youll Bring: Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Key roles and responsibilities Conduct comprehensive analyses, including Carbon Emissions Tracking, Carbon Footprint Assessments, Environmental Impact Analyses, Life Cycle Assessments (LCAs), Emissions Reduction Strategies, Climate Policy Development, Advocacy, Climate Modeling, Scenario Planning, and target setting aligned with Science-Based Targets (SBTi). Develop and execute data-driven strategies to assist investment managers and portfolio companies in reducing carbon emissions and setting targets. Lead initiatives to improve the sustainability performance of the Apex Group and promote responsible business practices across the organization. Contribute to the enhancement of existing ESG products and the development of innovative new offerings. Stay informed on global ESG standards and frameworks, ensuring the firms services meet current and emerging market expectations. Skills and qualifications required A masters degree in environmental engineering, sustainability, or a related field is required. Additional certifications in climate risk or ISO standards are highly desirable. Extensive experience in climate change, environmental issues, and sustainability, particularly within reputable consulting or advisory firms, financial services, or research organizations. Hands-on experience in carbon footprint analysis, GHG assessment, and climate risk advisory, with strong technical expertise in climate change, SBTi, LCA, ISO 14044/14064, decarbonization strategies, and climate risk modeling. A deep understanding of sustainability challenges across various industry sectors. Proficiency in ESG frameworks, such as SASB, GRI, TCFD, UN PRI, CSRD/NFRD, and SFDR. Strong skills in quantitative and qualitative data collection, analysis, and reporting. Excellent communication and interpersonal skills, with the ability to influence both internal and external stakeholders effectively. High proficiency in video conferencing, written communication, and presentation skills. Exceptional organizational skills and a keen attention to detail. Proficiency in MS Office is essential. Knowledge of programming languages is an added advantage. For Senior Associate and above positionsExperience in people management, product management, and process improvements is advantageous. Prior consulting or advisory experience is mandatory for Senior Associate and above roles.

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Responsibilities Assist in the development and implementation of data analytics strategies, frameworks, and methodologies aligned with organizational goals and objectives. Drive the identification and exploration of data-driven opportunities to optimize business performance, improve operational efficiency, and achieve strategic objectives. Collaborate with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Provide thought leadership and technical expertise in data analysis, statistical modelling, and machine learning techniques to address complex business problems and support strategic decision-making. Develop and maintain data governance frameworks, data quality standards, and data management practices to ensure accuracy, integrity, and consistency of data assets. Lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. Stay up-to-date with emerging trends, technologies, and best practices in data analytics, and provide recommendations for their adoption to enhance analytical capabilities. Mentor and coach junior analysts, fostering their professional growth and supporting their development of advanced analytical skills. Collaborate with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Present complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner. Foster a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Bachelors degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Masters or Ph.D. degree is strongly preferred. 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. Expert proficiency in SQL for data extraction, manipulation, and analysis. Advanced programming skills in Python/R for statistical analysis, predictive modelling, and machine learning. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. Solid understanding of database structures, data warehousing concepts, and data governance principles. Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. Excellent leadership, strategic thinking, and stakeholder management abilities. Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of big data technologies such as Hadoop, Spark, or similar. Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit learn. Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. Experience in leading and managing cross-functional teams. DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Core Characteristics Achievement-oriented Enjoys taking on challenges, even if they might fail. Innovative – Prefers working in unconventional ways or on tasks that require creativity with multivariable inputs and uncertainties. Resource maximizing – Identifies and leverages team resource strengths, while maintaining awareness and pushing for needed growth opportunities. Autonomous/ independent – Enjoys working with little direction. Dynamically detail oriented – Has the awareness of the need and ability to go deep without getting lost, while staying grounded with the bigger picture. Critical thinker – Applies logic, reason, and rationale to a given problem and/ or proposed solution. Dependable – More reliable than spontaneous. Flexible – Ability to manage competing priorities in a fluid environment. Prioritizing – Effective with prioritization, goal setting, and time management. Communicator – Excellent in communications, interpersonally, and in writing. Key Responsibilities: Analyze and interpret complex datasets to uncover valuable insights. Develop and implement Machine Learning (ML) models and algorithms. Collaborate with the team to design and execute data experiments. Utilize cloud platforms for data storage, processing, and analysis. Present findings and insights to both technical and non-technical stakeholders Stay updated on industry trends and advancements in data science, with a focus on healthcare informatics. Analyze complex healthcare data sets to identify trends, patterns, and insights. Create and present reports, dashboards, and visualizations to communicate findings to stakeholders. Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data. Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking. Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations. Identify opportunities for process improvement and efficiency through data analysis. Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment. Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data. Build predictive models to accurately analyze potential outcomes that are likely costs / savings for a given initiative or event(s). Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences. Qualifications: Degree in computer science, Statistics, Data Science, or a related field. Strong working knowledge of data manipulation and analysis libraries (e.g. Pandas, NumPy, scikit-learn) Familiarity with machine learning (ML) concepts and algorithms. Analyze and interpret complex healthcare datasets to extract valuable insights. Experience with data visualization tools (e.g. Matplotlib, Seaborn, tableau, PowerBI) Basic understanding of databases systems and SQL Experience with cloud platforms (e.g., AWS, Azure or Google Cloud) in a healthcare and biomedical data (ex., clinical and life-sciences) context. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with generative AI tools for innovative data-driven solutions. Excellent problem-solving and analytical skills. Eagerness to learn and adapt to new technologies and methodologies. Must possess strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy. Ability to generate information quickly and manage multiple projects at once. Strong analytical skills with the ability to collect, organize, analyze, conceptualize, problem solve, and disseminate information confidently and collaboratively with attention to detail, accuracy, timeliness. Experience in building and deploying highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutions Experience with Azure/AWS tools and technology

Roles and Responsibility: Collaborate with stakeholders to identify key performance indicators (KPIs) and metrics to measure business performance. Manage data science programs including predictive modeling, machine learning, and AI, to derive insights from data. Oversee Business Partnering and Program Management for key Analytics projects. Develop and manage the budget for analytics-related initiatives, including resource allocation and cost control. Lead a team of data professionals responsible for the development, integration, deployment, and maintenance of data solutions. Coordinate and manage system upgrades, patches, and enhancements to ensure system stability and security. Facilitate the resolution of issues and roadblocks. Manage IT demands and deliver according to prioritization. Ensure compliance with SLAs and develop strategies to address non-compliance. Role Specific Competencies: Minimum 8+ years of hands-on experience Proficiency in data analysis, data visualization, and statistical techniques. Promote effective data visualization practices to deliver insightful dashboards, reports, and presentations for stakeholders at all levels. Experience in implementing Enterprise Data Lake, BI Programs, and Data Science projects Expertise in AWS landscape, Snowflake, and Power BI Experience with analysis, coding, and execution, as well as managing contractors when necessary Programming skills in R, Python, and SQL Experience in IT service management Extensive experience in vendor management 7-8 years of IT business partnering experience Experience in integration across various systems and establishing robust controls to prevent leakage Understanding of Manufacturing, B2B, and B2C businesses Interpersonal skills Result orientation Analytical thinking Customer orientation (external and internal) Teamwork

Totango System Administrator We are seeking a Totango System Administrator to lead the implementation, configuration, and ongoing management of Totango, our Customer Success platform. This role will play a critical part in ensuring the platform effectively supports customer engagement, adoption, and retention strategies. This role will work closely with the Director of Customer Success and the Principal Program Manager for Digital Customer Success to align Totangos capabilities with business objectives, streamline processes, and optimize system performance. Additionally, this role will collaborate with cross-functional teams, including Customer Success, Sales, IT, and Data Analytics, to enhance customer journey tracking, automate workflows, and drive business insights. Key Responsibilities Totango Administration & Configuration: Configure, maintain, and optimize Totangos SuccessBlocks to align with business needs. User Management & Security: Administer user roles, permissions, and security settings while ensuring compliance with GDPR and data governance policies. Data Integration & Management: Manage and oversee integrations between Totango and other enterprise systems such as Salesforce, Snowflake Datawarehouse, Gong and other business critical platforms. Process Automation Implement automated workflows and triggers within Totango to support customer onboarding, adoption, and retention strategies. Partnership with Principal Program Manager: Work closely with the Principal Program Manager for Digital Customer Success to align Totangos usage with business priorities, drive user adoption, and enhance reporting capabilities. Troubleshooting & System Support: Identify and resolve system issues, working with vendors and internal teams to optimize platform performance. Reporting & Analytics Develop dashboards and reports within Totango to provide actionable insights into customer health, engagement, and churn risk. End-User Training & Adoption: Conduct training sessions and create enablement materials to enhance Totango adoption among Customer Success teams. Continuous Improvement: Stay up to date with Totango updates, best practices, and new features, making recommendations to optimize system capabilities. Qualifications Required Qualifications & Experience 2+ years of experience in Totango administration, configuration, or a similar Customer Success Platform (Gainsight, ChurnZero, etc.). Strong understanding of Customer Success operations and customer lifecycle management. 2+ years of experience with CRM platforms such as Salesforce, HubSpot, or Microsoft Dynamics. Experience with API-based integrations and data management tools (Snowflake, SQL, ETL processes). Ability to translate business needs into technical solutions through system configuration and workflow automation. Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues independently. Excellent communication skills, with experience working cross-functionally across technical and non-technical teams. Bachelors degree in Computer Science, Business, Data Science, or a related field. Preferred Qualifications Experience in SaaS or enterprise software industries. Knowledge of customer engagement strategies and data analytics. Familiarity with enterprise security and compliance best practices. Certifications in Totango or related platforms are a plus. Certifications in Salesforce administration is a plus Additional Information We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. **At this time insightsoftware is not able to offer employment sponsorship** #LI-Remote ** At this time insightsoftware is not able to offer sponsorship to candidates who are not eligible to work in the country where the position is located . ** Background checks are required for employment with insightsoftware, where permitted by country, state/province.

locationsMumbai - Hiranandaniposted onPosted 8 Days Ago time left to applyEnd DateJune 2, 2025 (2 days left to apply) job requisition idR_300134 Company: Mercer Description: Marsh McLennan Global Services India Private Limited (MMGS) is seeking candidates for the following position based in the Mumbai, India office Senior Principal Engineer Data Science We will count on you to Design and implement data analytics products to solve complex business problems and drive strategic outcomes. Utilize strong conceptual skills to explore Art of the Possible" in analytics, integrating data, market trends, and cutting-edge technologies to inform business strategies. Manage and manipulate large datasets from diverse sources, ensuring data quality through cleaning, consolidation, and transformation into meaningful insights. Conduct exploratory data analysis (EDA) to identify patterns and trends, reporting key metrics and synthesize disparate datasets for comprehensive insights. Perform rigorous quality assurance (QA) on datasets, ensuring accuracy, logical consistency, and alignment with analytical dashboards. Automate data capture processes from various sources, streamlining data cleaning and insight generation workflows. Apply knowledge of insurance claims, policies, terminologies, health risks, and wellbeing to enhance analytical models and insights. Develop Automation Solution for generating reports using tools such as Python, GenAI and ChatGPT APIs ensuring efficient and optimized code. Communicate complex data-driven solutions clearly and effectively, translating technical findings into actionable business recommendations. Having knowledge around Power BI/LLM/RAG will be preferred What you need to have Bachelors degree in engineering / Analytics or Masters Degree in Statistics/Computer Applications/ IT/Analytics /any discipline related to Data visualization / Analytics. 2-5 years of progressive experience in Data Science Hands-on exp. in Python (advance knowledge), GenAI, Excel - Intermediate and good understanding of BI tools Power BI Technical expertise with data models, data mining, and segmentation techniques Strong consulting experience and stakeholder management Basic to intermediate visualization experience in Power BI Excellent with data understanding, transformation and EDA Keenness and urgency to learn about the Marsh and the business units business, and insurance industry in general What makes you stand out Should have an aspiration to learn and grow. Strong communication skills with an ability to work in a team. Should be able to work as a Team-player and adopt changes without hesitation. A commercial sense to apply proportionality to the depth of analytics used versus desired output. Ability to take initiatives to strive for improvement in analytics techniques, process and output. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis and model development.- Knowledge of data preprocessing techniques to ensure high-quality input for machine learning models. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency in your work. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Familiarity with Agile methodologies and project management tools.- Experience in integrating SAP applications with other enterprise systems. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FI S/4HANA Accounting Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and collaborating with multiple teams to make key decisions. Your typical day will involve providing solutions to problems for your immediate team and across multiple teams, ensuring smooth operations and successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage and coordinate with stakeholders to ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI S/4HANA Accounting, SAP FI CO Finance- Strong understanding of accounting principles and financial processes- Experience in configuring and implementing SAP FI S/4HANA modules- Knowledge of SAP FI CO integration with other modules- Experience in leading application development projects- Good To Have Skills: Experience with SAP FI CO Finance- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity- Experience with data visualization tools such as Tableau or Power BI Additional Information:- The candidate should have a minimum of 5 years of experience in SAP FI S/4HANA Accounting- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will provide ongoing technical support and maintenance for production and development systems and software products. Your typical day will involve addressing technical issues, collaborating with various teams, and ensuring that all configured services operate smoothly across different platforms. You will engage in both remote and onsite support, focusing on hardware and software solutions while adhering to established operating models and processes. Your role will also include troubleshooting at both basic and intermediate levels, ensuring that systems remain operational and efficient. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor system performance and implement improvements as necessary. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database management and optimization techniques.- Experience with backup and recovery strategies for SQL Server.- Familiarity with performance tuning and troubleshooting SQL queries.- Knowledge of security best practices for database management. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft SQL Server Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Microsoft Azure Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will analyze, design, code, and test multiple components of application code across one or more clients. You will perform maintenance, enhancements, and/or development work, contributing to the growth and success of the projects. 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.- Lead the team in implementing innovative solutions.- Mentor junior team members to enhance their skills. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Machine Learning.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft Azure Machine Learning.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing RESTful APIs.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP ABAP Development for HANA.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the overall success of projects and drive advancements in AI technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals and assist in their development.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Job Description Summary Sandoz continues to go through an exciting and transformative period as a global leader and pioneering provider of sustainable Biosimilar and Generic medicines. As we continue down this new and ambitious path, unique opportunities will present themselves, both professionally and personally. Join us, the future is ours to shape! Job Purpose: The Group Head, Forecasting will lead the forecasting team, developing accurate and insightful forecasts, and providing strategic guidance to support business decisions across therapy areas for in-line and pipeline products. In addition to ensuring a high-quality forecasts the role requires driving synergies across units and regions, exploring avenues for innovation and implementing solutions that bring speed and scalability. This role requires a deep understanding of forecasting methodologies, strong analytical skills, and the ability to collaborate effectively with cross-functional teams. Job DescriptionJob Description Your Key Responsibilities: Your responsibilities include, but not limited to: Lead the forecasting team and provide guidance to develop and maintain accurate short-term and long-term forecasts for various business units. Expected span of control of 20+ associates Critically evaluate the current forecasting processes and methodologies and explore areas of innovation and improvement in standardization, speed and accuracy Ensure Sandoz forecasting approaches are best-in-class leveraging AI and next gen forecasting tools and methodologies Lead the team to utilize advanced statistical and analytical techniques to analyse historical data and identify trends Collaborate with cross-functional teams on enterprise level forecasting initiatives as well as to gather relevant data and insights Provide strategic guidance and recommendations based on forecast data to support business planning and decision-making. Prepare and present detailed forecast reports to senior management and stakeholders, communicating complex data and insights in a clear and concise manner. Stay updated with industry trends and best practices in forecasting and data analysis. Skills and Competencies: In-depth knowledge of the industry, including market dynamics, competitive landscape, and regulatory environment. Experience in leveraging advanced statistical and analytics techniques (expertise in AI/ML will be added advantage) Strong team management and project management skills, especially with critical and time-sensitive deliverables Ability to manage multiple projects and senior stakeholders simultaneously, and effectively prioritize to meet critical deadlines Ability to align forecasting activities with the organizations strategic goals and provide actionable insights. Excellent communication, leadership and organizational skills What youll bring to the role: Minimum Requirements: Educational Background: Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences and related fields Languages: Fluent in English (written and spoken) Good communication, presentation, and interpersonal skills Experience: 12+ years of relevant experience in pharma forecasting in a leading pharma or consulting organisation (experience in generic pharma industry will be a plus) You'll receive: Breakdown of benefits received in this role. Include flexible working, learning and development opportunities as well. Why Sandoz? Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, touched the lives of almost 500 million patients last year and while we are proud of this achievement, we have an ambition to do more! With investments in new development capabilities, state-of-the-art production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably. Our momentum and entrepreneurial spirit is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills experience an agile and collegiate environment with impactful, flexible-hybrid careers, where diversity is welcomed and where personal growth is encouraged! The future is ours to shape! #Sandoz

We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Flexible hours Remote opportunity Location- Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Key Responsibilities: Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems Develop novel algorithms and models for AI-driven applications across various domains Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products Required Qualifications: Strong background in machine learning, deep learning, reinforcement learning, or natural language processing Proven track record of original research, including publications in leading AI conferences or journals Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e g, TensorFlow, PyTorch) Ability to think critically and creatively to address complex AI challenges Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

We will count on you to: Create methods and practices to carry out robust capacity planning in back office/Admin and Project based teams in O&T Be an expert at forecasting and try different avenues and models of forecasting for varied teams across Operations & technology units. Provide insights and experimental analysis on how various forecasting models can be adapted to make our planning exercise richer and closer to ground reality Utilize forecasting tools and practices which are best in class at an industry level and harmonize ways of working with our teams with that Improve the accuracy of our predictions and plans and bridge the gap between forecast and actual volumes, revenues, performance and more operational aspects. Aid the development of Capacity Planning application from an end users perspective develop and refine individual capacity plans for each of O&Ts product lines/regional operations across their on and offshore operations, in collaborations with regional operations leads support optimization of back office/admin workforce management practices across O&T and be able to leverage peaks and troughs, and lean periods to maximize use of existing resources. support managers and leader in Operations teams in making appropriate hiring and capacity augmentation decisions which include cross training, contract resourcing, lending & borrowing resources etc. Stakeholder management and influence: Collaborate with COOs and operations leads to create meaningful plans for their units and communicate that effectively using facts and data. collaborate with them to create messaging and insights such that accurately reflect their teams position and can be supported effectively provide insights that help them run operations more effectively from service delivery, quality and cost perspectives bring out the best practices across other O&T teams and to cross pollinate best practices across operations What you need to have: Bachelors degree in business administration, maths, engineering or economics from accredited university or equivalent experience 20+ years of experience in ITES 10+ year of experience in business intelligence, predictive modelling, forecasting and planning in Services Industry, supply chain or logistics Experience with BackOffice Planning and exposure to Contact Centre operations Experience as a Client Relationship Manager or Product Manager is preferred Knowledge of customer relationship management practices Problem-solving attitude Excellent analytics skills Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Excellent communication skills Aptitude for fostering positive relationships Teamwork and leadership skills Customer-oriented mind-set Minimum 12 months experience as Associate Director(Level F) / Director (Level G) Should have at least On-Track or equivalent rating in last appraisal. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months. Should not have applied for any other IJP in the last 3 months. What makes you stand out? Demonstrate agility and rigor Attention to detail with exceptional quality of work Excellent communication and interpersonal skills. Adaptive to organisational culture and business environment Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Enterprise data analyst , your typical day involves creating interactive interfaces that facilitate the understanding and communication of complex data and insights. You will engage in data wrangling, analysis, and preparation to ensure the delivery of relevant, consistent, timely, and actionable insights. Your role will also include leveraging modern business intelligence and storytelling techniques, along with web-based visualization tools, to develop interactive dashboards and reports. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization capabilities to foster a dialog with data, enhancing the overall data experience for users. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team members' understanding of data visualization tools and techniques.- Continuously evaluate and improve existing data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of data wrangling techniques to prepare data for analysis.- Experience in developing interactive dashboards and reports that communicate insights effectively.- Familiarity with generative artificial intelligence and its applications in data visualization. Additional Information:- The candidate should have minimum 12 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Insights & Visualization Practitioner, you will engage in the creation of interactive interfaces that facilitate the understanding, interpretation, and communication of complex data and insights. Your typical day will involve wrangling, analyzing, and preparing data to ensure the delivery of relevant, consistent, timely, and actionable insights. You will leverage modern business intelligence, storytelling, and web-based visualization tools to develop interactive dashboards, reports, and emerging visualization and business intelligence artifacts. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization and business intelligence capabilities to foster a dialog with data, enhancing the overall data experience for users. 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 training sessions and workshops to enhance team capabilities in data analytics and visualization.- Continuously evaluate and improve existing data processes and visualization techniques to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of data wrangling techniques to prepare data for analysis.- Experience in developing interactive dashboards and reports that communicate insights effectively.- Familiarity with AI-powered tools and technologies for enhanced data visualization. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - IT Audit Senior Analyst Management Level: ML10 Location: Bangalore Must have skills: IT Audit experience, Understanding of Security Standards like ISO27001, PCI DSS, HIPAA, NIST 800-53 Good to have skills: Possession of a one or more of these professional certifications (ISO27001 Lead Auditor, CISA, CISSP, CIA, CCSK, AWS Cloud Practitioner, Azure Fundamentals) is preferred. Job Summary : Roles & Responsibilities: Participate in execution of the risk-based audit plan, reporting results to Accenture Leadership and the Audit Committee of the Board of Directors Conduct a wide-ranging scope of audits with an emphasis on assessing emerging areas of risk including cyber security, artificial intelligence, cloud computing, robotic process automation, and the Internet of Things. Through advisory services, work with our business partners to help them proactively identify and manage risk in new technologies, new go-to-market offerings, and critical corporate initiatives. Shape the future of the Accenture Internal Audit through involvement in departmental initiatives that enable us to become more efficient and effective in everything we do. Ensure your technical skill set and business acumen stay current and relevant through participation in our robust training program. Professional & Technical Skills: Experience conducting IT external and internal audits or assessments, preferably for a global organization. Strong IT knowledge in infrastructure technologies (networking, data centers and hosting, virtualization, cloud etc.), application development and support, and emerging technologies. Experience leveraging predictive models and custom analytics in audit planning and execution is preferred. Technical knowledge and familiarity with control requirements in areas including ERP applications, Windows and Unix operating systems, cyber security, and vendor management. Strong verbal and written communication skills and proficiency with the English language. Demonstrated analytical thinking, teamwork, and collaboration skills. Possession of a relevant professional certification (CISA, CISSP, CIA, CPA, CCSK) is preferred. Ability to adopt flexible work hours to collaborate with global teams and travel (up to 20%). Additional Information: We Are: Accenture is helping transform leading organizations and communities around the world. Choose Accenture and make delivering innovative work part of your extraordinary career. Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. Accenture is consistently recognized onFORTUNEs 100 Best Companies to Work Forand DiversityIncs Top 50 Companies for Diversitylists. The Internal Audit Department provides the Audit Committee of the Board of Directors with an independent and objective assessment of the reliability and integrity of financial and select operating information, the effectiveness and efficiency of Accenture plc and its consolidated subsidiaries (the Company) systems and internal controls, and compliance with the Companys policies and procedures. Internal Audit Services also provides advisory services designed to add value and improve the Companys operations through bringing a systematic, disciplined approach to evaluate and improve the effectiveness of risk management, controls, operations, and governance processes. You Are: An agile, highly-motivated, innovative thinker with a background in audit, risk, or compliance looking to join a fast-paced, global internal audit organization that has embraced transformative capabilities including advanced analytics, dynamic risk assessment processes, and automation to retain its role as a trusted advisor to the business. Why Should I Join the Accenture Team You are looking for an internal audit role that provides you with exposure to senior levels of leadership, enables you to work with emerging technologies, provides opportunities for international travel and flexible work arrangements (work from home), requires little to no SOX testing, and offers a competitive salary and benefits package. About Our Company | Accenture (do not remove the hyperlink)Qualification Experience: Minimum 2 years experience in IT auditing, testing IT General controls and information security controls, or related technical role focusing on security compliance activities Strong IT knowledge in infrastructure technologies (networking, data centers and hosting, virtualization, cloud etc.), application development and support, and emerging technologies. Educational Qualification: Undergraduate degree in Computer Science, Information Systems, Accounting, Business Administration, or Finance. MBA, Masters in Engineering.

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Teradata Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will provide ongoing technical support and maintenance for production and development systems and software products. Your typical day will involve addressing technical issues, collaborating with various teams, and ensuring that all configured services operate smoothly across different platforms. You will engage in both remote and onsite support, focusing on hardware and software solutions while adhering to established operating models and processes. Your role will also include troubleshooting at both basic and intermediate levels, ensuring that systems remain operational and efficient. 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 training sessions for junior team members to enhance their technical skills.- Monitor system performance and proactively identify areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Teradata Administration.- Strong understanding of database management and optimization techniques.- Experience with troubleshooting and resolving technical issues in a timely manner.- Familiarity with operating system-level support across various platforms.- Ability to implement and maintain software solutions effectively. Additional Information:- The candidate should have minimum 5 years of experience in Teradata Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education