535 Advanced Analytics Jobs - Page 16

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Work in an IC role ensuring adherence to best practices in BI development and data visualization. Collaborate with stakeholders to define business requirements and design impactful dashboards using Power BI. Use Python to automate data extraction and transformation. Oversee ETL processes and integrate data from various sources into Power BI. Enhance Power BI reports with Python scripts for advanced analytics and custom calculations. Ensure strong data governance, quality, and user-friendly visualization practices. Communicate complex data concepts clearly to both technical and non-technical teams. Good documentation skills to deliver BRDs, specifications document etc. Your Profile 4+ years of experience in DWH/BI domain with a focus on Power BI development. Proficiency in at least two BI toolsQlik, Power BI, Tableau. Showcase experience in 2-3 complete life cycle implementation of BI projects. Willingness and readiness to cross-skill in multiple BI tools and platforms. Experience with Power Platform (Power Apps, Power Automate), including building apps and automating workflows. Advanced SQL skills for querying and manipulating data from relational databases. Basic Python skills for ETL automation, with experience in Pandas, NumPy, and python What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modelling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

Role Purpose The purpose of this role is to analyse, identify, rectify & recommend specific improvement measures that help in the security posture of the organization by protecting the sensitive information Do Ensuring customer centricity by providing apt cybersecurity Monitoring and safeguarding the log sources and security access Planning for disaster recovery in the event of any security breaches Monitor for attacks, intrusions and unusual, unauthorized or illegal activity Performs moderately complex log reviews and forensic analysis to identify unauthorized or unacceptable access to data or systems Conduct security assessments, risk analysis and root cause analysis of security incidents Handling incidents escalated by the L1 team in 24x7 rotational shifts Use advanced analytics tools to determine emerging threat patterns and vulnerabilities Completing all tactical security operations tasks associated with this engagement. Analyses all the attacks and come up with remedial attack analysis Conduct detailed analysis of incidents and create reports and dashboards Stakeholder coordination & audit assistance Liaise with stakeholders in relation to cyber security issues and provide future recommendations Maintain an information security risk register and assist with internal and external audits relating to information security Assist with the creation, maintenance and delivery of cyber security awareness training for colleagues Advice and guidance to employees on issues such as spam and unwanted or malicious emails Deliver No. Performance Parameter Measure 1. Customer centricity Timely security breach solutioning to end users, Internal stakeholders & external customers experience 2. Process Adherence Adherence to SLAs (90-95%), response time and resolution time TAT Mandatory Skills: Security Log Monitoring. Experience: 5-8 Years.

Role Purpose The purpose of this role is to analyse, identify, rectify & recommend specific improvement measures that help in the security posture of the organization by protecting the sensitive information Do Ensuring customer centricity by providing apt cybersecurity Monitoring and safeguarding the log sources and security access Planning for disaster recovery in the event of any security breaches Monitor for attacks, intrusions and unusual, unauthorized or illegal activity Performs moderately complex log reviews and forensic analysis to identify unauthorized or unacceptable access to data or systems Conduct security assessments, risk analysis and root cause analysis of security incidents Handling incidents escalated by the L1 team in 24x7 rotational shifts Use advanced analytics tools to determine emerging threat patterns and vulnerabilities Completing all tactical security operations tasks associated with this engagement. Analyses all the attacks and come up with remedial attack analysis Conduct detailed analysis of incidents and create reports and dashboards Stakeholder coordination & audit assistance Liaise with stakeholders in relation to cyber security issues and provide future recommendations Maintain an information security risk register and assist with internal and external audits relating to information security Assist with the creation, maintenance and delivery of cyber security awareness training for colleagues Advice and guidance to employees on issues such as spam and unwanted or malicious emails Deliver No. Performance Parameter Measure 1. Customer centricity Timely security breach solutioning to end users, Internal stakeholders & external customers experience 2. Process Adherence Adherence to SLAs (90-95%), response time and resolution time TAT Mandatory Skills: Security Log Monitoring. Experience: 5-8 Years.

Role Purpose The purpose of this role is to analyse, identify, rectify & recommend specific improvement measures that help in the security posture of the organization by protecting the sensitive information Do Ensuring customer centricity by providing apt cybersecurity Monitoring and safeguarding the log sources and security access Planning for disaster recovery in the event of any security breaches Monitor for attacks, intrusions and unusual, unauthorized or illegal activity Performs moderately complex log reviews and forensic analysis to identify unauthorized or unacceptable access to data or systems Conduct security assessments, risk analysis and root cause analysis of security incidents Handling incidents escalated by the L1 team in 24x7 rotational shifts Use advanced analytics tools to determine emerging threat patterns and vulnerabilities Completing all tactical security operations tasks associated with this engagement. Analyses all the attacks and come up with remedial attack analysis Conduct detailed analysis of incidents and create reports and dashboards Stakeholder coordination & audit assistance Liaise with stakeholders in relation to cyber security issues and provide future recommendations Maintain an information security risk register and assist with internal and external audits relating to information security Assist with the creation, maintenance and delivery of cyber security awareness training for colleagues Advice and guidance to employees on issues such as spam and unwanted or malicious emails Deliver No. Performance Parameter Measure 1. Customer centricity Timely security breach solutioning to end users, Internal stakeholders & external customers experience 2. Process Adherence Adherence to SLAs (90-95%), response time and resolution time TAT Mandatory Skills: Security Log Monitoring. Experience: 5-8 Years.

Overview Provide a dvanced a nalytics support for the LATAM Sector in the Insights Services Center ; a part of the broader Global Business Services function in Hyderabad, India. This role will help to enable a ccelerate d growth for PepsiCo by developing custom descriptive analytics approaches for LATAM to drive deeper understanding of business performance drivers both at the N ational / R egional / State /City level. Primary responsibilities include develop ing/ enhanc ing statistical models to address key business questions associated with Growth Driver Modeling , P ricing, A ssortment, M arket S tructure, I nnovation F orecasting, and C ategory G rowth F orecasts, P ortfolio growth model , Ambition related assignments for the key markets of LATAM . Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effective ly establishing business process and communication methods with teams they support ; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Functional Responsibilities: Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the LATAM Business Service Service Center Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisions Identify, assess, and visualize key market share drivers for LATAM Categories, as a growth catalyst to prioritize and enable brand planning across portfolio Support LATAMregion s annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targets Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability. Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc. Forecast market growthleveraging (PGM an internal tool) on an annual basis to inform PEP s long-term expectations for growth Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies Provide responsestoad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholdersin LATAMand region offices Own flawless execution of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables Lead communication withBusiness Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects Deliver outputs in line with the agreed timelines andformats Flag and monitor any business risks related to delivering the requested outputs Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operations Improve existing processes based on frequent Business Partner & end-user feedback loop People and Project Management Responsibilities Leading a team of 4-5 data scientists and modelers Develop new skillsets among team members related to advanced analytics by conducting training and period review Promotes cross functional seamless communication, sharing know how and creating same quality of experience across sector markets Qualifications 10-14 years of experience in the field of analytics Critical experience as Data Scientist and Programming in Python & BI skills, basic statistics like regression, types of distribution, expertise in Nielsen, knowledge of media sufficiency/MMM is good to have Experience either in boutique analytics consulting or Captive analytics teams Have been hands-on modeler in the past specifically in market mix /attribution modeling, CPG domain preferred. Experience in translating business problem into analytics framework and vice versa Experience in leading mid-sized teams of data scientists and modelers Well versed in statistical techniques Educational Background- BE/B TECH/ MSC Economics or Statistics, MBA preferred for Analytics translator High degree of familiarity with CPG and Food & Beverage industry data sources, including Nielsen/IRi (POS and HH panel), Global Data, Kantar Worldpanel, etc. Deep understanding of CPG industry business performance outputs and causal measures, their relationships, and how to address business questions in a robust way that translates to simple outputs Experience with Agile development methods, SQL, R, Python desired Strong collaborator: Interested and motivated by working with others. Actively creates and participates in opportunities to co-create solutions across markets; will be willing and able to embrace Responsive Ways of Working Can easily see how insights/research learning can improve businesses impact and frames up reporting efforts and opportunities to inform business decisions Proven analytics, shopper research experience, or consumer insights experience applying statistics to CPG industry business problems Operational experience from business servicing sector and/or consulting experience would be a plus Language: English Fluent.

USV, a top-15 pharmaceutical company in India, excels in the diabetes and cardio sectors. We have a presence in over 65 countries with our dynamic team of over 7,000 across generations. Our commitment to brand building is evident in our popular products like Glycomet GP, Ecosprin AV, Jalra, Tazloc, Glynase, MVI and more. Join USV and be part of our journey as we continue to innovate, transform lives, and shape the future of healthcare. Job Title: Business Intelligence Manager Designation: Business Intelligence Manager (Individual Contributor role) Department/Function: Sales & Marketing Reporting To: VP - Sales & Marketing Direct Reportees: Nil Location: HO @ Govandi, Mumbai Working - 5 Days with alternate Saturdays i.e; 1st, 3rd & 5th from Office Job Summary : The Business Intelligence Manager will be instrumental in driving business growth and leading strategic improvement initiatives within the pharmaceutical organization. This role entails close collaboration with cross-functional teams to identify and analyze business needs, uncover opportunities, and develop data-driven solutions. The position focuses on leveraging advanced analytics and actionable insights to enhance decision-making, optimize processes, and achieve impactful business outcomes. Key Responsibilities Business Needs Assessment: Collaborate with stakeholders to thoroughly understand and assess business needs, translating them into clear, actionable requirements for innovative solutions. Advanced Data Analysis: Analyze large and complex datasets using advanced tools to uncover trends, generate actionable insights, and drive informed business decisions. Solution Design and Development: Create compelling business cases and proposals for solutions, including process enhancements, technology integrations, and organizational optimizations to support business growth. Stakeholder Collaboration: Build and maintain strong communication channels with stakeholders, including senior leadership, ensuring alignment, transparency, and buy-in throughout the solution development process. End-to-End Project Management: Lead projects from conception to completion, ensuring timely delivery, adherence to budgets, and alignment with strategic goals. Continuous Process Optimization: Identify and implement opportunities for streamlining processes to improve efficiency, effectiveness, and overall operational performance. Regulatory Adherence: Ensure all proposed and implemented solutions comply with industry standards and regulatory requirements, such as FDA guidelines, safeguarding organizational integrity and compliance. Requirements 1. Education: Bachelor's degree in Mathematics, Engineering, Business Administration, or a related field. MBA or an advanced degree in Business Analytics, Data Science, or related fields is preferred. Additional certifications in analytics tools or methodologies (e.g., Power BI, SQL, or Python) are a plus. 2. Experience: 3–5 years of experience in the pharmaceutical industry, preferably in a business intelligence, data analytics, or related role. Proven track record in delivering actionable insights and driving data-driven decision-making in sales and marketing contexts. 3. Skills: Analytical Expertise: Strong proficiency in handling and analyzing large datasets to uncover trends and opportunities. Technical Proficiency: Skilled in tools such as Power BI, Tableau, google workspace Excel, SQL, Python, and data visualization frameworks. AI/ML Knowledge: Familiarity with advanced analytics, predictive modeling, and machine learning algorithms is an advantage. Pharmaceutical Knowledge: Comprehensive understanding of industry trends, regulations (e.g., FDA), and sales force effectiveness metrics. Problem-Solving Ability: Strong critical thinking skills with a solution-oriented approach to complex business challenges. Communication Skills: Excellent ability to communicate insights effectively to diverse audiences, including senior leadership, through presentations and dashboards. Project Management: Demonstrated capability to manage multiple priorities in a fast-paced environment, delivering on time and within budget. Stakeholder Collaboration: Ability to work cross-functionally and foster alignment among teams to achieve common objectives.

Salesforce Data Cloud Specialist Location: Noida, India Experience: 5- 6 Years Employment Type: Full-time Job Overview: We are looking for an experienced and results-driven Salesforce Data Cloud Specialist to join our dynamic team. The ideal candidate will be responsible for implementing and optimizing Salesforce Data Cloud (formerly known as Customer Data Platform - CDP) solutions, integrating large datasets, and enhancing data-driven decision-making across marketing, sales, and customer experience functions. Key Responsibilities: Implement and configure Salesforce Data Cloud for unified customer data profiles. Integrate Salesforce Data Cloud with Marketing Cloud, Sales Cloud, and external platforms. Design and manage customer identity resolution strategies. Work on data ingestion pipelines and ensure clean, validated, and structured data flows. Collaborate with cross-functional teams to enable segmentation, personalization, and advanced analytics. Support activation of unified data across different channels for better customer engagement. Monitor performance, troubleshoot issues, and ensure data governance and compliance. Required Skills & Experience 4+ years of experience in Salesforce ecosystem with minimum 1-2 years in Salesforce Data Cloud . Strong understanding of CDP, Data Modeling, Identity Resolution, and Consent Management . Hands-on experience with Salesforce Data Cloud Studio, Data Streams, and Calculated Insights . Proficiency in APIs, ETL tools, and data integration frameworks. Solid grasp of Salesforce Marketing Cloud , Sales Cloud , and Experience Cloud . Familiarity with data privacy regulations (GDPR, CCPA). Salesforce certifications in Data Cloud or related domains will be a strong plus. Good to Have Experience in industry-specific use cases such as Retail, Healthcare, or Finance . Strong communication and stakeholder management skills.

About the Opportunity Job TypeApplication 20 June 2025 Title Data Scientist, Risk Data Analytics Department Data Value Location Gurgaon Reports To Associate Director, Risk Data Analytics Level 5 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Data Value team and feel like youre part of something bigger. About Global Risk The Global Risk team in Fidelity covers the management oversight of Fidelitys risk profile, including key risk frameworks, policies and procedures and oversight and challenge processes. The team partner with the businesses to ensure Fidelity manages its risk profile within defined risk appetite. The team comprises risk specialists covering all facets of risk management, including investment, financial, non-financial and strategic risk. As part of a broader General Counsel team, the Risk team collaborates closely with Compliance, Legal, Tax and Corporate Sustainability colleagues. About Risk Data Analytics Hub The vision of Risk Data Analytics Hub is to establish a data-centric risk function that is forward-thinking, resilient, and proactive. The hubs mission is to enhance risk management processes and unlock innovative opportunities in the ever-changing risk and business landscape. The Hub has made significant strides in the Investment Risk, delivering prominent contributions such as the Fund Performance Monitoring, Fund Aggregate Exposures, Fund Market Risk, Fund Liquidity Risk, and other comprehensive monitoring and reporting dashboards. These tools have been crucial in supporting risk oversight and regulatory submissions. The Hubs goal is to scale this capability across global risk, using data-driven insights to uncover hidden patterns and predict emerging risks. This will enable decision-makers to prioritise actions that align with business objectives. The approach is to dismantle silos and foster collaboration across the global risk team, introducing new tools, techniques, and innovation themes to enhance agility. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand various subject areas in Global Risk Team including Investment Risk, Non-Financial Risk, Enterprise Risk, Model Risk, Enterprise Resilience etc. Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data Lake, Data Engineering, DevOps/MLOps, Technology team etc for development of new tools, capabilities, and solutions. Maximize adoption of Cloud Based advanced analytics solutionsBuild out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. Support delivered models and infrastructure on AWS including data changes and model tuning About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions. Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit. . Stakeholder Management (30%) Works with Risk SMEs/Managers, stakeholders and sponsors to understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, implementation and maintenance of solutions. Adoption of Cloud enabled Data Science solutions(20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/ machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations. Takes complete independent ownership of the projects and the initiatives in the team with the minimal support. Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 9+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus. Experience with unstructured data and big data. Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic. Ability to develop, test and validate hypotheses.

The Senior Analyst Business Analytics will assist the Manager, Business Analytics delivering analytics projects centered on the 4 levers Acquisition, Activation, Portfolio Development and Retention. The scope of the role includes the commissioning of new types of data and the use of advanced analytics to drive assisted and predictive decision-making thereby leading to a data-intelligent future. Candidate should have minimum of 4 years experience in Banking domain Proficiency in Analytics tools SAS EG, SAS EMINER, Excel, SQL

Role & responsibilities We are looking for a data-focused and detail-oriented Manager Analytics to lead the analytics and MIS function for our Signature Program. This role will manage all data related to the program, create dashboards and reports, and deliver insights to senior leadership. The role also involves leading a team of 57 MIS executives, including those supporting central functions and regional sales teams. Key Responsibilities Own all data for the Signature Program—from source integrity to final dashboards and leadership summaries. Lead the end-to-end analytics & MIS roadmap: design, build, automate, and refine data pipelines and dashboards covering: - Sales performance. - Outlet acquisition & numerical distribution. - Per-outlet throughput (by channel and category). - City-wise, region-wise, and national performance views. - Employee-wise productivity metrics. - Salesforce App & DMS integrations. - Program P&L (Budget vs Spends). - Distribution status. Measure and diagnose the impact of trade promotions, consumer offers, visibility support, retailer loyalty programs, outlet branding, focus drives, and new product launches. Publish weekly & monthly trackers on cooler placement and throughput of cooler outlets. Deliver concise, insight-rich business reviews and executive presentations for leadership forums. Maintain data accuracy, timeliness, and consistency across all MIS outputs. Lead, mentor, and develop a team of 5–7 MIS executives—both HO support-function MIS analysts and regional sales-team MIS analysts—by setting clear KPIs, conducting regular reviews, and driving capability-building. Standardize data processes and champion automation to boost reporting efficiency. Act as a strategic partner to Sales, Marketing, Finance, Category, and Strategy teams, providing data-driven decision support and ad-hoc analytical deep dives. Preferred candidate profile Experience: 4–8 years in data analytics or MIS roles, preferably in FMCG, Retail, or Consumer Goods. Team Management: Experience leading a team of MIS executives or analysts. Technical Skills: - Strong in Excel (pivot tables, advanced formulas, dashboards) - Good PowerPoint skills (for making presentations) - Knowledge of Power BI or similar tools (preferred) Other Skills: - Good with numbers and data interpretation - High attention to detail - Strong communication and collaboration skills Education: Graduate or Postgraduate in Business, Statistics, Engineering, or a related field

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

Director - Portfolio Operations Delivery What you will do Let’s do this. Let’s change the world. In this vital role the Director, Portfolio Effectiveness and Optimization Results Delivery within the Customer Data & Analytics team is accountable for coordinating our delivery efforts across the internal and external team located in AIN and across India. In addition, the Director must manage relationships across a complex internal set of teams and functional groups. This position reports to the Associate Vice President, Portfolio Effectiveness and Optimization and will be responsible for the following Responsibilities Key IntegratorAct as main point of contact and representative of the Portfolio Effectiveness and Optimization team in India Talent DevelopmentHire, train, develop, and manage talent to meet organizational needs Global CollaborationAct as the primary point of contact for PE&O senior leadership in the US and the offshore team in India, either through our Contract teams or direct AIN FTEs Operational Excellence and DeliveryOversee end-to-end delivery of core data and analytics projects ensuring quality, scalability, and operational efficiency, while promoting standard processes in data governance and analytics methodologies Offshore Vendor ManagementManage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation LeadershipFoster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in analytics, AI Business Impact & Collaborator ManagementEnsure analytics solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial managementOversee PE&O budget associated with offshore work in India, ensuring best negotiated rates and overall value What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Master’s degree and 14 to 16 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Bachelor’s degree and 16 to 18 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience Managerial experience, directly handling people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Preferred Qualifications: Relevant data science certifications and Bio/Pharmaceutical industry experience 8+ years of innovative Data Science/Advanced Analytics leadership experience Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modelling and other analytics frameworks/techniques with 10+ years of experience delivering complex analytical projects Minimum 5 years of professional experience in Amazon Web ServicesRedShift, S3, Athena, etc. and industry standard Data Warehousing technologiesSnowflake, Spark, Airflow, etc. Advanced proficiency and hands on coding experience in Python/R/Scala/Java or any other Object-Oriented Programming language; ETL using SQL/shell scripting Experience in successfully completing AI/ML based Next Best Action recommendation engine to optimize against desired objective function(s) Expertise in setting up and measuring randomized controlled trials, cohort studies, and matched, case-control studies Comprehensive understanding of the components of setting up data models and running scenario planning that match the business need Experience in setting up process for data ingestion, Quality Checks etc. Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedication teams, delivering results, and shaping the future Ability to foster and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation The ideal candidate will lead the creation of an analytics-driven culture that drives top-line growth, controls costs, and takes timely corrective action to reduce risks that derail plans Ability to think strategically about issues impacting an entire portfolio of therapeutics across geographies and stages of development Experience managing multiple senior key collaborators, prioritizing across a multitude of responsibilities and allocating resources to drive maximum impact Partners with business leaders to deliver high-quality predictions that guide strategic decision making Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management Comfortable challenging the status quo and bringing forward innovative solutions Ability to identify areas for process and systems innovation and implement change that will enhance the overall effectiveness of the team Comfortable working through and leading large-scale global change management Understanding of technology platforms and ability to partner with IS/IT and business leaders What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PepsiCo -Sales Operations

The role The Data Scientist is a vital role within the Blenheim Chalcot portfolio and Oakbrook. Role is a professional who uses data to solve problems, uncover patterns, and help organizations make better decisions. You will gain hands-on experience in a fast-paced and progressive environment, where you will support us in building our next generation of GenAI enabled tech businesses. Key responsibilities and duties Develop and deploy machine learning models to support credit risk and business strategy. Refresh and maintain production models, ensuring performance and stability. Build dashboards and reports to monitor key performance Present model insights and recommendations at Credit Committees and stakeholder meetings. Drive continuous improvement of modelling approaches and feature engineering pipelines. Support ad-hoc analysis and investigations related to credit performance . About you The ideal candidate will have a track-record in delivering results in a fast-moving business and hence be comfortable with change and uncertainty. Excellent stakeholder management experience is essential to being successful in this role. Qualifications, technical and or professional experience Previous experience using a programming language with a willingness to learn SQL and R Experience with producing reports in Power BI Experience with model building and development would be advantageous About Blenheim Chalcot Blenheim Chalcot is one of the leading venture builders in the world. We have been building exciting and disruptive businesses for over 26 years across sectors including FinTech, EdTech, GovTech, Media, Sport, Charity and more. These companies are all GenAI enabled and are some of the most innovative companies in the UK and increasingly around the world. The BC team in India has been instrumental to the growth and success of Blenheim Chalcot. Established in 2014, Blenheim Chalcot India serves as a pivotal launchpad for those aiming to make a difference in the realm of innovation and entrepreneurship. Blenheim Chalcot India is driven by a mission to empower visionaries to lead, innovate, and build disruptive solutions. We support our diverse portfolio of ventures and create impactful solutions that shape global trends. We provide a range of services to help new business get off the ground, including technology, growth (marketing and sales), talent, HR, finance, legal and tax, plus so much more! One of our [insert sector e.g. FinTech or MarTech] ventures, [insert venture name], is scaling fast and we re looking to hire high energy, motivated and curious talent to support them on that journey! About Oakbrook Founded in 2011, Oakbrook has united experts in consumer lending, advanced analytics, and innovative technology, all driven by the belief that consumer lending can be more personalized and customer centric. The collective mission across our three companies is to simplify and tailor the borrowing experience. By leveraging cutting-edge technology, data, and analytics, we provide fairer access to credit that reflects each customer s unique circumstances, moving beyond outdated models that rely on averages and backward-looking assessments. Our goal is to create a more inclusive, individualized approach to lending. What we can offer you Be part of the World s Leading Digital Venture Builder Have the opportunity to be a part of and learn from the incredible diverse talent in BC Be exposed to the right mix of challenges, within a culture that promotes continuous learning and development and opportunity to work with Gen AI A fun and open, if a little cricket obsessed, atmosphere - we own the Rajasthan Royals IPL team! 24 days of annual leave &10 public holiday days Private Medical for you and your immediate family & Life Insurance for yourself Important

Accounts Lead / Lead Data Scientist (Job Order 277) Current Available Openings Position Details: Accounts Lead / Lead Data Scientist (Job Order 277) Description: Job Title: Lead Data Scientist Reports To: CEO Job Summary: We are seeking a highly skilled and experienced Data Scientist with 6+ years of hands-on experience in data science, analytics, and stakeholder engagement. The ideal candidate should have strong expertise in Python , Tableau , Snowflake , Machine Learning, Statistical testing and should be comfortable driving business insights through storytelling and daily interactions with stakeholders. Key Responsibilities: Design, build, and deploy scalable machine learning models to solve complex business problems Write and optimise complex SQL queries, particularly on the Snowflake platform Develop insightful dashboards and visualisations using Tableau Conduct data exploration, cleaning, and transformation using Python & R and relevant libraries (Pandas, NumPy, Scikit-learn, etc.) Perform A/B testing & other statistical techniques Translate analytical insights into clear, compelling stories and recommendations for stakeholders Collaborate cross-functionally with product, engineering, and business teams to understand data needs and deliver solutions Present findings and recommendations to both technical and non-technical stakeholders regularly Requirements: 6+ years of professional experience in data science or advanced analytics Strong proficiency in Python for data manipulation, analysis, and modelling Proven experience in building dashboards and reports using Tableau Expertise in writing complex SQL queries , especially on Snowflake Solid understanding of machine learning techniques, statistical tests and model deployment best practices Excellent communication and storytelling skills to convey data-driven insights Comfortable working closely with stakeholders daily to gather requirements and present findings

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview Reporting to the AI, Automation and Data Science Manager, the AI / ML / Data Scientist is responsible for utilizing advanced analytics, machine learning, and automation techniques to extract actionable insights from diverse datasets. The incumbent should have a robust understanding of key AI / ML concepts and combine their expertise in data, computational science, and technology with MKC consumer-oriented business knowledge. Ultimately will drive high-value insights into the organization and steer strategic growth initiatives. Key Responsibilities Mine and analyze data from enterprise databases by applying statistics, machine learning, and analytic approaches to drive optimization and operational improvements. Collaborate with functions, functional solution leads, and strategic solution build teams to deploy scalable AI/ML-infused applications. Choose appropriate algorithms based on the nature of the problem, data structure, and desired outcomes. Train ML models using historical data and assess their performance against predefined metrics. Continuously optimize and fine-tune models for improved accuracy and efficiency. Required Qualifications & Experience Bachelors in Supply Chain, Computer Science, Data, Finance or relevant field. Automation Tools and Frameworks Programming, Testing and QA Data Analytics Technical knowledge for Data environments, transformation, models and queries Partnering across different regions and functions Interpersonal Skills Strong communication and diplomacy skills Strong analytical decision-making and direction-setting Experience working with regions and different culture WHY WORK AT MCCORMICK? United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

Design, build, and maintain scalable and reliable data pipelines for the ingestion, transformation, and delivery of large datasets. Collaborate with analytics and business teams to understand data requirements and deliver actionable datasets. Develop and optimize ETL processes using modern data engineering tools and frameworks (e.g., Apache Airflow, Spark, SQL). Ensure data quality, integrity, and security across all stages of the data lifecycle. Implement and monitor data solutions on cloud platforms (AWS, GCP, or Azure). Troubleshoot and resolve data pipeline and infrastructure issues with a focus on continuous improvement. Build and maintain data models, warehouses, and marts to support advanced analytics and reporting. Document data architecture, workflows, and processes for internal teams. Work closely with Data Scientists and Analysts to enable advanced analytics and machine learning initiatives. Stay updated with industry trends and best practices in data engineering and analytics.

Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. About the Team Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target. About the Role As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research. In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills. Key responsibilities include: Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members. Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions. Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges. Designing and implementing new applied mathematical models to address complex business problems. Interpreting model results to generate actionable insights for leadership. Communicating clearly and proactively with business leaders, peers, and stakeholders. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field. 4+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools. 4+ years of experience applying advanced data science, AI, and operations research techniques. Strong problem-solving skills with the ability to address business challenges creatively. Skilled in cleaning, transforming, and analyzing large datasets to generate insights. Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal. Retail and supply chain experience is a plus. Team-oriented with the ability to collaborate effectively across locations and time zones. Strong written and verbal communication skills. Why Work with Us at Target Work on advanced analytics and data science projects that directly impact Target s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies. We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects. We value diversity and inclusion, fostering an environment that contributes to positive customer experiences. We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting. Useful Links to Learn More About Target and Our Benefits Life at Target https://india.target.com/ Benefits https://india.target.com/life-at-target/workplace/benefits

PRIMARY FUNCTION This role leads media operations and program management capabilities for Roundel Media Acceleration Group (MAG) in Bangalore, reporting to Vice President, Roundel Media Target in India. The person is expected to be a key player in setting strategies for Roundel media capabilities; influencing product roadmap in partnership with the leadership team in US and Bangalore. The incumbent sets the strategy and annual goals for the global capabilities of media planning, trading & optimization, ad operations, program management across managed and self-service business lines. The person is expected to unlock value of a set of connected capabilities from Bangalore and plays an active role in building Roundel as a leading media company in the world delivering compelling advertising and media solutions to brands/companies. They will play a crucial role in defining and improving OKRs, fostering transparency around performance, identifying opportunities, and implementing scalable best practices. This role requires a strong ability to demonstrate strategic planning, business acumen with a keen eye on what s happening on the broader media landscape, proactive decision making and strong execution rigor. Must be able to work in a fast-paced, highly interactive environment interfacing between senior leadership and middle management and the team at large. Principal Duties and Responsibilities Gain leadership agility in a highly matrixed cross-functional team behind a strategic vision. Partner with and influence executive leaders across Roundel, marketing, and digital teams, including SVP level. Demonstrate horizontal leadership to drive cross-functional work, foster open communication, and champion a culture of shared responsibility with the goal of delivering improved outcomes. Primary key partners would include Product, Marketing, Digital, and Merchandising Prioritize key projects and management of critical issues to ensure attention and focus of Roundel s senior leadership team. Eases decision making by striving to provide full information at point of decision and by serving as a reliable, trusted and objective channel for all stakeholders Organizing, aligning and driving strategic priorities with members of the senior Roundel leadership team Owns or identifies owners to drive operational initiatives across Roundel Bangalore. Ensures alignment and timelines support the overall business strategy Managing cross-marketing (perhaps cross-enterprise) projects, coordinating and executing to Target s strategies and agenda to ensure efficient operations Ensures the work and teams responsible for integrating enterprise data and insights ties to strategic priorities at pyramid level. Engaging directly with key internal and external stakeholders, representing the organization in a clear and compelling way. Lead teams to optimize full funnel experiences on all relevant ad-platforms using tooling/automation, advanced analytics, and aligned goals/resourcing/processes to drive best in class experiences and financial results to drive and own media performance (P&L and marketshare growth) Key Competencies: Ability to work horizontally across Marketing & Digital and enterprise to ensure clear understanding of Target s strategic roadmap, DigiRev priorities and Roundel business goals Deep understanding of business strategy, implementation/operational best practices and resource planning Strategic thinker with effective, diplomatic and proactive leadership skills. Critical thinking-ability to brainstorm on complex problems and leverage thought leadership to provide solutions Excellent interpersonal skills with the ability to read people and connect with various audiences Highly credible, collaborative, and resourceful style with the ability to work independently and as a team player. Demonstrated ability to operationalize strategies across key stakeholder groups Strong executive presence and communication skills with ability to present in a variety of settings to teams and senior leadership; comfort speaking internally or externally Analytical acumen, demonstrated ability to deep dive into data, extract insights and provide guidance on actions Root cause analysis and problem solving Team Management and Development Responsible to identify and develop top talent; leading working teams to deliver on Roundel Business strategy and operational needs A leader of leaders, this person is a mentor with strong influence across not only their direct report teams, but across Roundel and M&D India Sets clear goals and objectives with ongoing coaching, performance evaluation and feedback to build the best team and do the best work Engages and inspires team to achieve challenging goals and high standards of performance. Strategic thinker with effective, diplomatic and proactive leadership skills. Reporting / Working Relationships : Reports to Vice President, Roundel Media, Target in India Reporting to this position is a team of senior media leaders across program management and media operations. Internal and External Partnerships Roundel Leadership team Target in India Sr. Leaders MINIMUM JOB REQUIREMENTS : Bachelor s degree or higher in Business, Management, Strategy and Operations or other related field 18 + years experience in leading teams; desired is 10-12 years of experience in leading teams in retail and/or retail industry Ability and experience in communicating vision in an inspiring way Ability to provide clear, and actionable feedback Able to see solutions from a Guest s perspective and deliver against business needs without sacrificing connected guest experience Ability to effective partner with key business leaders across the organization Experience and ability to present to all levels of leadership with confidence

Job Information Job Opening ID ZR_2109_JOB Date Opened 09/02/2024 Industry Technology Job Type Work Experience 4-6 years Job Title CXO Analyst City Pune City Province Maharashtra Country India Postal Code 411001 Number of Positions 4 LocationBangalore, Mumbai, Pune, Chennai, Hyderabad, Kolkata, Delhi Technical Skills: Data strategist with expertise in Product Growth, Conversion Rate Optimization (experiments) Personalisation using digital analytics skills such as Adobe Analytics, Google Analytics, and others (Quantitative and Qualitative)Proven success in acquisition marketing and retention marketing by leveraging strategic and tactical implementation of Conversion Rate Optimization (A/B Testing) and Product Optimization (Landing Page Optimization, Product-Market Fit) through data insights.Personalisation - It includes customer segmentation, targeted messaging, dynamic content, recommendations, behavioral targeting, and AI-powered personalization.Skilled in leveraging advanced analytics tools for actionable data extraction from extensive datasets such as SQL, Big Query, Excel, Python for data analysis, Power BI, and Data StudioProficient in implementing digital analytics measurement across diverse domains using tools such as Adobe Launch, Google Tag Manager, and TealiumSoft skills:Experience in client-facing projects & stakeholder mgmt, excellent communication skillsCollaborative team player, aligning product vision with business objectives cross-functionallyAvid learner, staying current with industry trends and emerging technologiesCommitted to delivering measurable results through creative thinking, exceeding performance metrics, and fostering growth check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Title - Pros CPQ Senior Analyst Management Level CL10 Location:Kochi Must have skills:PROS Pricing Solution Suite Good to have skills: Job Summary :The candidate will be responsible for providing functional and implementation support for Pricing and CPQ Tools Provide functional and implementation support for Pricing and CPQ Tools solutions like PROS, PriceFx, CONGA, SFDC CPQ, Zilliant, Vendavo, SAP/Oracle Pricing, Callidus Build robust pricing models using advanced analytics and artificial intelligence to track key pricing KPIs, and build leadership dashboards in visualization tools. Work on assessing pricing processes in alignment with business imperatives and client's sales strategy through client data diagnostics and gap analysis including current state assessment and future state design, Vendor assessment and selection (PROS) Work on designing and implementing pricing waterfall, pricing strategy, competitive pricing, pricing elasticity, margin analysis, pricing diagnostics, pricing catalog, and contract pricing of services, leading to a positive impact on topline and bottom line for global B2B organizations Work on B2B Pricing Analytics (Exploratory Analysis & Reporting), target state analytics recommendation Work on recommending and deploying process improvements and enablers with best-in-class KPIs Work as an integral part of the client's sales organization, towards driving efficient and effective structure pricing and discounting approach. You will work closely with our clients as Consulting Professionals who design, build, and implement strategies that can help enhance business performance within the Pricing area. Roles & Responsibilities: Act as a trusted advisor, guiding clients through best practices and digital transformation in pricing and CPQ Technical Skills: - 1-10 years of progressive industry and/or consulting experience in the Products/ Communications & High Tech/ Financial Services industry/ Resources - 3 - 5 years experience working with PROS Smart Price Optimization & Management (POM) & Smart Configure Price Quote (CPQ) - Functional experience in Pricing of Services, products, parts, and post sales services - Proficiency in MS Excel, Macro, and PowerPoint and exposure to Visualization Tools such as Power BI and Tableau - Knowledge of other Pricing & CPQ tools like PriceFx, CONGA, SFDC CPQ, Zilliant, PROS, Vendavo, SAP/Oracle Pricing, Callidus are a plus. - Nice to have certification in any one of the following or equivalent from other pricing/CPQ solutions - PROS Smart Price Optimization and Management PROS Smart Configure Price Quote" Additional Information: NA About Our Company | Accenture (do not remove the hyperlink) Qualifications Experience: Minimum 1 -10 year(s) of experience is required Educational Qualification: B.Tech/BE /Graduate

Job Title: Industry Function AI Decision Science Consultant- SC Global Network Management Level: 9- Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Qualifications Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years What would you do? Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience – Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following – Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualifications Master of Engineering,Masters in Business Economics

Required Skills Technology | Sentinel SIEM Tool Administrator | Level 2 Support Technology | Securonix SIEM Tools Administrator | Level 2 Support Education Qualification : B.Sc Certification Mandatory / Desirable : Technology | Microsoft Certified: Security, Compliance, and Identity Fundamentals / CISSP/CISM/CEH/GIAC Certified Incident Handler/Certified SOC Analyst (CSA)/CompTIA Cybersecurity Analyst (CySA+)/Cisco Certified CyberOps Associate Delivery Skills required are: - Technical Skills: - *Identifying and analyzing potential threats and vulnerabilities using various tools and techniques. *Leading and managing the response to security incidents, including containment, eradication, and recovery. *Implementing and maintaining security monitoring systems, such as SIEM (Security Information and Event Management) tools. *Prioritizing and remediating vulnerabilities based on risk assessments. Operational Skills: - *Developing, implementing, and enforcing security policies, standards, and procedures. *Managing and maintaining secure configurations for systems, networks, and applications. *Overseeing the timely application of security patches and updates to systems and software. Analytical Skills: - *Analyzing logs and event data from various sources to identify patterns and anomalies. *Utilizing advanced analytics to detect and investigate security incidents. *Conducting digital forensics investigations to uncover evidence of security breaches. Collaboration and Teamwork: - *Collaborating with other IT and security teams to enhance the organization s security posture. *Coordinating response efforts during security incidents with internal and external stakeholders. *Leading incident response teams and ensuring effective communication and collaboration.