527 Advanced Analytics Jobs - Page 12

About the Role: Grade Level (for internal use): 08 The Team: You will become a member of the Data Solutions group. We provide solutions to all stakeholders across multiple products. Our key clients are the Tier-1 Custodians, Asset Managers and Investment Banks. We see growth in providing solutions to asset managers, wealth managers and other stake holders in the capital markets space. The Impact: You will be part of a team that develops innovative solutions, derives actionable insights from data, which helps drive the client engagement and business. The candidate would be a critical part of data science and automation projects which will add value and propel the analysis and research of this critical team. The solutions you will work on will enhance the existing products and provide actionable intelligence to our clients. Whats in it for you: Exposure to latest technologies in the space of data analytics & science, Gen AI. Develop data and analytical skills. Opportunities to work on cross-team initiatives and collaborative projects. What you will work on Automate process es and workflows using Python Develop and optimize natural language processing (NLP/NLG) models. Derive value and insights from large datasets to enable business decisions and strategy. Collaborate with cross-functional teams to integrate NLP/LLM solutions into existing products. Handle large amounts of data from multiple and disparate sources . Analyze the data and the results to ensure data quality, statistical relevance, etc. with a critical mindset . Establish necessary business and domain knowledge to correctly interpret data and result s. Bring analytical rigor and statistical methods to the challenges of measuring data quality, product performance, anticipating and interpreting the behavior of end-user . Who you are Hands on project lifecycle experience, from business analysis to productization Strong programming skills in Python including experience with libraries such as TensorFlow, PyTorch and Hugging Face transformers. Proven experience in developing NLP/NLG models Deep understanding of machine learning principles and NLP techniques Experience working with large language models (LLMs) like GPT, BERT etc Familiarity with cloud platforms (like AWS) for model deployment and scaling Experience with data extraction with SQL etc. Able to translate business problems into problems that can be solved with Data Science Ability to communicate ideas and analysis results effectively both verbally and in writing to a non-technical audience . Bachelor of Science or certified in a quantitative discipline (e.g., Computer Science, Data Science, S tatistics, etc. ) 4-5 years of professional experience in Advanced Analytics / Data Science / Machine Learning preferably in Finance and/or Reference Data space. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction.For more information, visit www.spglobal.com/marketintelligence . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

1. Strong experience in data preparation/data wrangling for data on acquired/import connections. 2. Strong experience in data analyzer. 3. Proficient in SAP SAC functionalities, including data integration, data modeling, story creation, and advanced analytics. 4. Expertise / Knowledge of SAC predictive capabilities, augmented analytics, forecasting, Smart Assist, Smart Predict, Smart Discovery, creating story canvasses, advanced story designing, blending data, formulas, cross calculations, input controls, linked analysis. 5. Understanding of data analytics concepts and best practices and Creation of SAC planning masks, workflows, planning calendars etc. 6. Solid understanding in Filters ; Static and Dynamic . 7. Strong experience in creating geo maps using geo enrichment feature for geospatial analysis and creating Planning models in SAC. 8. Design and implementation of authorizations/roles 9. Create functional designs for reporting to enable developers to build them in SAP BW4HANA/SAC. 10.Around 5-7 Years of experience in Supporting/Development of SAC reports.

Job Summary As a key member of the analytics team, you will work closely with consulting teams to understand and address clients' business challenges. Utilizing advanced analytics tools, you will systematically analyze data to derive actionable insights that drive strategic decisions. Your deep knowledge of supply chain data, paired with a strong business acumen, will enable you to solve complex problems in this domain. You will typically lead junior analytics team members to own delivery on their assignments. Roles & Responsibilities Lead end-to-end product development of spend analytics and procurement automation solutions. A bachelors degree in engineering, Computer Applications, Mathematics, or a related field from a Tier 1 university. 4-5 years of experience in Business Intelligence (BI) projects, specifically as a Qlik Sense, Tableau, or Power BI Developer. Proven ability to build, maintain, and enhance Qlik data visualizations that help drive business insights. Experience transitioning PowerPoint wireframes and Excel reports into interactive Qlik Sense dashboards. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovative approaches to problems/issues in data processing. Proficiency in MS Excel, MS PowerPoint, and MS Access, with the ability to handle complex data sets and present findings effectively. Qualification Professional & Technical Skills Good at technical troubleshooting, monitoring, and reporting activities. Prior experience in data / spend analysis. Good spoken and written English communication skills - should be able to participate in global team calls. Excellent spoken and written English communication skills, enabling seamless participation in global team calls and client discussions. A quick learner who thrives in a fast-paced, team-oriented environment. Additional experience in Power BI / Tableau and SQL Coding will be preferred.

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries,Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Game Advanced Analytics. Experience3-5 Years.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Mandatory Skills Data Science, ML, DL, Python for Data Science, Tensorflow, Pytorch, Django, SQL, MLOps Preferred Skills NLP, Gen AI, LLM, PowerBI, Advanced Analytics, Banking exposure Strong understanding of Data Science, machine learning and deep learning principles and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Experienced data scientist who can using python build various AI models for banking product acquisition, deepening, retention. Drive data driven personalisation, customer segmentation, in accordance with banks data privacy and security standards Expert in applying ML techniques such asclassification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Optimize model performance and scalability for real-time inference and deployment. Experiment with different hyperparameters and model configurations to improve AI model quality. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards Working knowledge ane experience in ML Ops is a must and engineering background is preferred Excellent command of data warehousing concepts and SQL Knowledge of personal banking products is a plus Mandatory Skills: AI Cognitive. Experience8-10 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: Dell One Identity Manager. Experience3-5 Years.

Req ID: 325767 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Tableau Developer to join our team in Chennai, Tamil N du (IN-TN), India (IN). Tableau Developer Exp - 8+ yrs BI Developer responsible for delivering cross-functional reporting, data exploratory analysis via SQL/AWS Redshift, and hands-on development of highly visible visualization projects that create strategic and transformational value for Globe Life s core business organization. The role will interface with data engineering, business stakeholders, and portfolio leaders to modernize our technology platforms and deliver drilldown dashboarding capabilities. Highly experienced with proven acumen data visualization with SQL/scripting expertise, IT data analytics architecture, deployment scale methodologies across multiple cloud technologies and integrations of necessary risk controls. Expertise in data visualization and relevant methodologies Package and present recommendations to the executive leadership team through a combination of reporting and advanced analytics Champion data visualization through development of Tableau Interact with cross functional portfolios to enhance gap capabilities, including the business architecture, processes, sub-capabilities required and target state. Experience of Tableau, SQL, and Data Lake architectures Deep understanding of data SQL, quantitative/statistical hypothesis analysis, and decision analytics, including full life-cycle development

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: Fortinet Firewall. Experience5-8 Years.

Salary: 25 to 40 LPA Exp: 7 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Join us as a Data & Analytics Analyst This is an opportunity to take on a purpose-led role in a cutting edge Data & Analytics team You ll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose You ll bring advanced analytics to life through visualisation to tell powerful stories and influence important decisions for key stakeholders, giving you excellent recognition for your work Were offering this role as associate vice presidentr level What youll do As a Data & Analytics Analyst, you ll be driving the use of advanced analytics in your team to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. You ll be working closely with business stakeholders to define detailed, often complex and ambiguous business problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible. As well as this, you ll be: Leading and coaching your colleagues to plan and deliver strategic project and scrum outcomes Planning and delivering data and analytics resource, expertise and solutions, which brings commercial and customer value to business challenges Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics Developing strong stakeholder relationships to bring together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs The skills youll need We re looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages. Along with advanced analytics knowledge, you ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling . You ll also demonstrate: Strong knowledge of data management practices and principles Experience of translating data and insights for key stakeholders Good knowledge of data engineering, data science and decisioning disciplines Strong communication skills with the ability to engage with a wide range of stakeholders Coaching and leadership experience with an ability to support and motivate colleagues Hours 45 Job Posting Closing Date: 06/07/2025

The role The Data Scientist is a vital role within the Blenheim Chalcot portfolio and Oakbrook. This is a leading role in the ongoing development of a world class consumer lending business that is aiming to change lending for the better by becoming the UK s most trusted and responsible fintech business. Every day we innovate together to provide tailored, affordable, and simple products that people can easily manage and understand. The R programmer role has been created to design, build, maintain, and support our internal decision engine capabilities (built using R) to meet defined business needs and to accommodate technical considerations in balance with business requirements within the roadmap. Ensuring that the decision engine is advanced and capable of enabling us to deliver our growth ambitions. Key Responsibilities: Working closely with a wide number of stakeholders (product owners, analysts, Data scientists, senior leadership team etc) to provide strategic solutions. Broad thinking, solutions are in context of the business Communication within the team and external, able to engage with people with different skillsets from around the business Presentation and documentation skills Awareness of the influence you have on the business & the power of your voice, set the tone for the team (positive, enthusiastic) Open to being challenged & flexible in approach - bringing people on a journey Drive the team to make commitments and to deliver against them Build dashboards and reports to monitor key performance KPIs & Deliverables: Dashboards & Reporting: Deliver clear, accurate monitoring of performance of all Oakbrook s decision engines Programming and Delivery: Project management Implementation of decision engine changes Deploying and monitoring of decision engines Unit and Integration Testing of decision engines Working closely with dev team to deliver larger projects Assisting dev team with wider testing Suggesting and making improvements to code base Quality & Communication: Ensure all deliverables are accurate and error-free. Present findings clearly to technical and non-technical audiences. 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. Technical and or professional experience required to be successful in the role: Technical Skills Skilled using R/Python programming languages, with a willingness to learn other languages Experience with producing reports in Power BI Automated testing, particularly unit testing Technical documentation Dev Ops Decision engine experience within financial services MongoDB Containerisation, particularly with Docker and Kubernetes SQL Some understanding of data science / credit risk (the role holder will work closely with these teams) Experience with GitHub Experience with Atlassian suite Experience with Octopus deploy Non-Technical Skills Must be intellectually curious with a passion for making data driven decisions Thrive in a team environment Exceptional Communication and Interpersonal Skills Strong time management skills Discretion when dealing with confidential information Self-motivated and proactive Keen eye for detail Resilient able to respond to challenges of tech delivery Monitors performance against deadlines and milestones and does what is needed to get the job done Probes for greater understanding of a problem Accepts new ideas and change initiatives, easily let s go of the past and is willing to adapt to change Ability to influence and constructively challenge Understands business objectives and priorities beyond own area of work Plans and organizes self/team well 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 FinTech ventures, Oakbrook, 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

JD for Power Bi. Key Responsibilities : Lead BI Strategy : Drive the business intelligence strategy, helping clients or internal teams leverage Power BI and other BI tools to turn complex data into actionable insights. Power BI Implementation & Architecture : Design and oversee the implementation of Power BI solutions, from data modeling and ETL processes to reporting and dashboard creation. Data Governance & Quality : Ensure best practices for data governance, integrity, and consistency across BI initiatives. Mentorship & Leadership : Provide mentorship to junior and mid-level BI professionals, guiding them through technical challenges and career development. Cross-Functional Collaboration : Work closely with executive leadership, business analysts, data engineers, and other stakeholders to understand business requirements and translate them into technical solutions. Advanced Analytics : Design advanced analytics solutions using DAX, Power Query, and other Power BI tools to solve complex business problems. Performance Optimization : Optimize Power BI reports and dashboards to handle large datasets, ensuring high performance and responsiveness. Reporting & Insights : Deliver impactful reports and dashboards that help stakeholders make data-driven decisions, ensuring clear communication of findings. Strategic Advice : Offer expert advice on BI tools, methodologies, and best practices, contributing to high-level strategic decisions related to data-driven transformations. Innovation & Research : Stay up to date with the latest Power BI features and updates, and incorporate new techniques and technologies to continuously improve BI practices.

Job Title - S&C GN AI - Insurance AI Consulting Manager - CL7 Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Responsible AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Complete understanding of the current state of affairs in machine learning and AI Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing advanced analytics solutions Manage a team of data scientist and data engineers Provide regular coaching to team on team management and advanced analytical concepts Excellent written and verbal communication skills Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Who we are looking for Bachelors degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; MBA from the top tier academic institutions Minimum 7years of experience in Advanced Analytics with 4+ experience in Insurance domain Experience in working in dual shore engagement and must have experience in managing clients directly Ability to work in new business development such as assessing pain areas for our clients, generating solutions for clients Solution oriented mindset ability to work in diverse areas and create market leading solutions Managerial experience in leading analytics teams including career management of offshore staff, training, recruiting Superior analytical and problem solving skills Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

JR: R00244779 Experience: 12-14Years Educational Qualification: Any Degree --------------------------------------------------------------------- Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. An expert in Supply chain/ manufacturing operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning/operations analytics solutions areas such as asset reliability and maintenance, supply, procurement, inventory, spares, quality analytics, process analytics, simulation and mathematical optimization, demand, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI Procurement Supply Chain Analytics - Manager Management Level :07 - Manager Location: Bangalore/ Gurgaon/Mumbai/Hyderabad/Kolkata/Chennai/Pune Must have skills: Machine learning, deep learning, Gen AI, cloud-based solutions (Azure, GCP, AWS), Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau. Good to have skills: Tableau/Power BI, Ariba, Coupa, Zycus, or Ivalua CL 7 [Data Science Manager Supply Chain & Operations Analytics (Sourcing and Procurement)] Job Summary : The Manager Sourcing and Procurement Analytics will be responsible for leading data-driven initiatives to optimize procurement and supply chain operations. This role requires a strong understanding of statistical methods, analytical techniques, and data science applications to drive meaningful insights. The manager will take a lead on client engagement on their projects, provide technical guidance, and lead a team of analysts to solve complex procurement and supply chain challenges using advanced analytics. Roles and Responsibilities: An expert in sourcing and procurement operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for sourcing and procurement analytics. Interface with clients to understand business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Implement advanced analytics to perform spend analytics, category analytics, contract analytics, supplier management analytics, price forecasting, supply risk analytics, etc. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. Utilize statistical models, machine learning, simulation and optimization techniques to enhance procurement and supply chain operations. Implement analytics to evaluate supplier performance, optimize procurement costs, and mitigate supply chain risks. Team Leadership & Development: Mentor and guide a team of analysts and consultants in developing analytical solutions. Foster a culture of innovation and continuous learning within the team. Ensure knowledge sharing and best practices are followed across projects. Technology and Process Optimization: Drive digital transformation in procurement using AI, machine learning, and cloud-based analytics solutions. Leverage SQL and advanced analytics tools for data preparation, manipulation, and descriptive analysis Collaborate with IT and procurement teams to improve data integration and system automation. Experience and Education: A minimum 7-9 years of experience in industrial/consulting or related areas is needed with at least 5 years of supply chain advanced analytics solutions design and delivery experience. Good to have global client experiences. Experience specifically in sourcing and procurement domain is preferred. Masters degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science). Certifications in one or more areas will be an added advantage:Python, AI/ML, Simulation, Optimization, any of the Cloud platforms (Azure, GCP, AWS). Technical & Professional Skills: Proven ability to drive analytics-driven procurement transformation projects. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Experience with cloud-based solutions (Azure, GCP, AWS) for procurement analytics. Hands-on programming experience with any of the analytics tools, databases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Excellent written and verbal communication skills, with the ability to interact with senior stakeholders. Additional Information: Proficiency in data visualization tools like Tableau/Power BI. Experience with procurement tools such as Ariba, Coupa, Zycus, or Ivalua. Prior experience in client-facing roles and managing large-scale procurement analytics initiatives. About Our Company | Accenture Qualification Experience: 7-9 years of experience Educational Qualification :Masters degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science)

Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

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 : Tableau 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. Your typical day will involve collaborating with various teams to ensure project goals are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application functionalities with business objectives, ensuring that the solutions provided are effective and efficient. Your role will require you to be proactive in identifying areas for improvement and implementing best practices to enhance application performance and user experience. 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 and development opportunities for team members to enhance their skills.- Monitor project progress and ensure timely delivery of application features.- Design, develop, and maintain advanced Tableau dashboards and reports based on business requirements.- Collaborate with business analysts, data engineers, and stakeholders to gather requirements and define key performance indicators (KPIs).- Ensure data accuracy and consistency by implementing robust data validation and QA processes.- Optimize dashboard performance and troubleshoot data or performance issues.- Integrate Tableau with different data sources such as SQL Server, Excel, Snowflake, or cloud-based databases.- Develop and document technical design specifications and business rules.- Support ad-hoc reporting and visualization requests from various business units.- Provide training and guidance to junior Tableau developers and end users.- Stay up to date with new Tableau features and best practices to continually improve the BI environment. Professional & Technical Skills: - The candidate should have minimum 5 years of experience in Tableau.- Strong analytical skills to interpret data and provide actionable insights.- Experience with data visualization best practices to create effective dashboards.- Familiarity with SQL for data extraction and manipulation.- Ability to work collaboratively in a team environment and communicate effectively.Strong analytical and problem-solving skills.- Excellent communication and interpersonal abilities.- Ability to work independently and in a collaborative, fast-paced team environment.- Detail-oriented with a commitment to delivering high-quality, accurate, and user-friendly dashboards.- Strong organizational skills and ability to manage multiple projects simultaneously.- Proactive in identifying opportunities for automation and process improvement.- 6+ years of professional experience with Tableau Desktop and Tableau Server.- Proficient in creating interactive dashboards, visualizations, and complex calculations using LOD expressions, parameters, sets, and filters.- Strong SQL skills with experience querying and managing large datasets.- Experience with data blending, data modeling, and creating extracts from multiple data sources.- Knowledge of Tableau Prep or other ETL tools is a plus.- Experience integrating Tableau with cloud platforms like AWS, Azure, or Google Cloud is preferred.- Familiarity with scripting languages (Python, R) for advanced analytics is an advantage.- Exposure to Agile/Scrum development methodologies. Additional Information:- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title : GN- SC&O - S&P -Spend Analytics- Data Visualization- BI - Consultant Management Level :09 Consultant Location :Gurgaon Must have skills :Spend Analytics, Data Visualization Good to have skills :BI Tools (Power BI, Tableau) Job Summary As a key member of the analytics team, you will work closely with consulting teams to understand and address clients' business challenges. Utilizing advanced analytics tools, you will systematically analyze data to derive actionable insights that drive strategic decisions. Your deep knowledge of supply chain data, paired with a strong business acumen, will enable you to solve complex problems in this domain. You will typically lead junior analytics team members to own delivery on their assignments. Roles & Responsibilities Lead end-to-end product development of spend analytics and procurement automation solutions. A bachelors degree in engineering, Computer Applications, Mathematics, or a related field from a Tier 1 university. 4-5 years of experience in Business Intelligence (BI) projects, specifically as a Qlik Sense, Tableau, or Power BI Developer. Proven ability to build, maintain, and enhance Qlik data visualizations that help drive business insights. Experience transitioning PowerPoint wireframes and Excel reports into interactive Qlik Sense dashboards. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovative approaches to problems/issues in data processing. Proficiency in MS Excel, MS PowerPoint, and MS Access, with the ability to handle complex data sets and present findings effectively. Professional & Technical Skills Good at technical troubleshooting, monitoring, and reporting activities. Prior experience in data / spend analysis. Good spoken and written English communication skills - should be able to participate in global team calls. Excellent spoken and written English communication skills, enabling seamless participation in global team calls and client discussions. A quick learner who thrives in a fast-paced, team-oriented environment. Additional experience in Power BI / Tableau and SQL Coding will be preferred. About Our Company | Accenture Qualification Experience :5+ years of experience Educational Qualification :BE, BTech, MBA

Job Title - GN - SONG - C&S - CPQ- 09 Management Level: 9-Team Lead/Consultant Location: Chennai, CDC5B Must-have skills: Configure, Price, Quote (CPQ) Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. You will work closely with our clients as Consulting Professionals who design, build and implement strategies that can help enhance business performance. As part of the team, you will drive the following: Provide design, functional and implementation support for CPQ Tools Salesforce, Conga, SAP Callidus or any other tool Assess end-to-end CPQ processes to identify gaps, benchmark with best-in-class practices and help the client define target state processes standardized across geographies/business units Define user personas and user journeys Work as an integral part of the clients sales organization, towards driving efficient and effective structure pricing and discounting approach. Work to facilitate involvement of key stakeholders and buy-in for change readiness Bring your best skills forward to excel at the role: Experience working on a large-scale Business / Operational Transformation project Strong program management/ people management skills Experience working with C level executives Global exposure Proven ability to work creatively and analytically in a problem-solving environment Experience in global implementation, rollout and UAT support Deep expertise in Pricing Analytics, advanced analytics, visualization tools Structured approach to Problem solving Excellent leadership, communication (written and oral) and interpersonal skills Comfortable working at the highest levels of client organizations and interacting closely with the C level executives in a range of environments Desire to work in an information systems environment Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: MBA

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 About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do 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. Qualification Master of Engineering,Masters in Business Economics

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do 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: Leading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Refining and improving data science models based on feedback, new data, and evolving business needs. Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. 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. Qualification Master of Engineering,Masters in Business Economics

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 - 8 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do 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 domainsEnergy, 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. QualificationsMasters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: 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 domainsEnergy, 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. QualificationsMasters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Qualification Any Graduation

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary : We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualification Experience: 4-8 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary : We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualification Experience: 4-8 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.