523 Predictive Analytics Jobs - Page 4

At PwC, the focus in data and analytics revolves around leveraging data to drive insights and make informed business decisions. By utilizing advanced analytics techniques, our team helps clients optimize operations and achieve strategic goals. As a professional in data analysis at PwC, you will specialize in utilizing advanced analytical techniques to extract insights from large datasets, supporting data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently seeking individuals with a strong analytical background to join our Analytics Consulting practice. As a Senior Associate, you will be an essential part of business analytics teams in India, collaborating with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide business recommendations to project teams. **Years of Experience:** Candidates should possess 4+ years of hands-on experience. **Must Have:** - Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCPs Vertex AI platform, AWS SageMaker) - Knowledge of predictive/prescriptive analytics, particularly in the usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good knowledge of statistics, including statistical tests & distributions - Experience in Data analysis, such as data cleansing, standardization, and data preparation for machine learning use cases - Experience in machine learning frameworks and tools (e.g., scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) - Advanced level programming in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Good communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the U.S. as a subject matter expert to formalize data sources, acquire datasets, and clarify data & use cases for a strong understanding of data and business problems - Drive and conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Build storylines and deliver presentations to the client team and/or PwC project leadership team - Contribute to knowledge sharing and firm building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

Assistant General Manager - Customer Delight: Job Summary: We arelooking for a dynamic and experienced Assistant General Manager (AGM) Customer Delight to lead and oversee large-scale contact centre operationsacross multiple processes. This role demands strong leadership, strategicvision, and operational expertise to drive superior customer service, enhancecustomer satisfaction, and optimize operational efficiencies across diverseteams and service channels. Key Responsibilities: Strategic Leadership & Operational Oversight: Provide leadership and direction for large contact centre operations involving multiple teams and processes, ensuring alignment with company goals and customer experience strategies. Should have managed more than 150+ FTEs spread across multiple processes/contact centres. Multi-Process Management: Oversee the delivery of multiple customer service processes (e.g., inbound/outbound calls, chat, email, social media support), ensuring consistent service quality and performance standards across channels. Team Management & Development: Manage, mentor, and motivate a large workforce including team leads, supervisors, and agents. Drive talent acquisition, training, succession planning, and career development programs. Performance Management & Analytics: Define and monitor comprehensive KPIs such as Customer Satisfaction (CSAT), Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and Service Level Agreements (SLAs). Utilize data analytics to identify trends, optimize workflows, and drive continuous improvements. Process Optimization & Innovation: Lead initiatives to streamline processes, improve operational efficiency, and enhance the customer journey through automation, technology upgrades, and best practices. Customer Escalations & Quality Assurance: Handle escalated customer issues promptly, ensuring effective resolution and maintaining customer trust. Oversee quality assurance programs to maintain high service standards. Budget & Resource Management: Develop and manage operational budgets, resource planning, and vendor relationships to support scalable and cost-effective contact centre operations. Compliance & Risk Management: Ensure all operations comply with regulatory requirements, data privacy laws, and company policies. Lead risk mitigation and business continuity planning. Cross-Functional Collaboration: Work closely with other departments such as IT, Sales, Marketing, and Product teams to align customer experience initiatives and resolve systemic issues impacting customer satisfaction. Automation and AI deployment Ensuring the right deployment of AI solutions which results in the overall contacts volume reduction and increased efficiency as well as the quality of service. Qualifications & Experience: Bachelors degree in Business Administration, Management, or related field; MBA or advanced degree preferred. Minimum 10 years of progressive experience in contact centre management or customer experience leadership roles. Proven experience managing large teams (100+ employees) across multiple processes in a complex contact centre environment. Strong strategic thinking, analytical skills, and data-driven decision-making abilities. Excellent leadership, communication, and interpersonal skills. Proficient in CRM platforms, workforce management, and contact centre technologies. Demonstrated ability to drive transformation and deliver results in fast-paced, high-pressure environments. Key Competencies: Strategic leadership & vision Multi-channel customer service expertise Large team & multi-process management Operational excellence & process improvement Data analytics & performance management Stakeholder management & collaboration Change management & innovation mindset

Job Title Data & AI Telecom Analytics Level 9 - S&C Global Network CMT Management Level:9 Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Data Science, Predictive Analytics, Model building, Model Production, Data Analysis, Data Visualization, Storytelling, Communication, Teamwork Good to have skills: Vertex AI, GEN AI, LLMs, RAGs Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of over 20,000 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. About Comms & Media practice within Strategy & Consulting: Comms & Media (C&M) is one of the Industry Practices within Accentures S&C Global Network team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the worlds leading wireline, wireless, cable and satellite communications and service providers Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & ResponsibilitiesA Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional & Technical Skills: Overall 5+ years of experience in Data Science & at least 3 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves About Our Company | Accenture Qualification Experience: Minimum 5+ year(s) of experience is required Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Science Practitioner Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AI Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Data Science Adaptable and flexible Agility for quick learning Ability to work well in a team Commitment to quality Results orientation Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues You will design, develop and implement data science strategies that drive measurable business results You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action You will use quality metrics to select machine learning models that will be deployed in the production environment You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility) You will work with CD4ML practices and data versioning tools Job qualifications Technical Skills You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You ensure compliance with data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed You are a proven leader with a track record of encouraging teammates in their professional development and relationships Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

upstox is looking for Data Science Intern to join our dynamic team and embark on a rewarding career journey Assist in data science projects and activities Conduct data analysis and visualization Develop and implement data science models and algorithms Monitor and report on data science performance metrics Collaborate with data science teams to optimize operations Gain practical experience in data science

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques You will develop and implement data science strategies that drive measurable business results You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will interact with clients from diverse domains, addressing their challenging problems You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines Job qualifications Technical Skills You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . FourKites is looking for an empathetic and experienced Customer Success Manager to join our team! You will provide the best customer experience by building and nurturing consultative relationships with strategic customers in order to achieve high retention rates and maximize value realization. You will have a strong partnership with internal teams as you help your customers meet their business objectives. As the owner of the day-to-day management of your customers, you will become their go-to expert in all things FourKites. From training your customers on the FourKites platform, to creating actionable goals for ways that they can optimize their supply chain, you are responsible for enabling customers who are delighted in their utilization and adoption of our product. What you ll be doing: Own overall relationship with assigned customers by increasing adoption, driving usage, identifying risk and ensuring retention and satisfaction Establish a trusted, strategic advisor relationship with each assigned customer and drive continued value of our products and services Develop, prepare, and nurture customers for advocacy Work with customers to establish critical goals or other key performance indicators, understand their criteria for success and aid them to achieve their goals Facilitate quarterly Executive Business Reviews to review goals, progress and opportunities, while asking insightful questions and listening closely to learn the customer s perspective and vision Support Sales in identifying and/or developing upsell and cross-sell opportunities to expand the FourKites footprint Manage account escalations and advocate customer needs/issues cross-departmentally Occasional travel requested for internal team meetings or customer visits About the team: Our innovative Customer Success Managers are integral to our Operations team and overall customer-centric culture. With their creative problem-solving skills, they have created raving fans of FourKites with all of our customers. From implementing round-table events, to advocating directly with the FourKites Leadership team, our Customer Success Managers are the driving force behind our customer s satisfaction and retention. FourKites is the largest predictive supply chain visibility platform, delivering real-time visibility and predictive analytics for the broadest network of Global 1000 companies and third-party logistics firms. Using a proprietary algorithm to calculate shipment arrival times, FourKites enables customers to lower operating costs, improve on-time performance and strengthen end- customer relationships. With a network of more than four million GPS/ELD devices, FourKites covers all modes, including truckload, LTL, ocean, rail, intermodal, last mile and parcel. The platform is optimized for mobile and equipped with market-leading end-to-end security. Who you are: At least 3 years of experience working with enterprise customers in a Customer Success or Account Management type role at a SaaS company Organizational, analytical and problem-solving skills with a strong drive for efficiency, quality and operational excellence Supply Chain industry experience preferred Experience growing customer adoption and preventing customer churn Exceptional communication skills and emotional intelligence Strong ability to multitask and prioritize Demonstrated ability/flexibility to work cross-functionally in a fast-growing company where fast-paced change is the norm. Note: Role would require to work in Night Shift Who we are: FourKites is the #1 supply chain visibility platform in the world, extending visibility beyond transportation into yards, warehouses, stores and beyond. Tracking more than 2.5 million shipments daily across road, rail, ocean, air, parcel and courier, and reaching over 185 countries, FourKites combines real-time data and powerful machine learning to help companies digitize their end-to-end supply chains. More than 1,000 of the world s most recognized brands including 9 of the top-10 CPG and 18 of the top-20 food and beverage companies trust FourKites to transform their business and create more agile, efficient and sustainable supply chains. FourKites provides competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe. To help you be your best, we have 5 global recharge days, in addition to standard holidays, and a hybrid, flexible approach to work. Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others. Throughout the year, FourKites sets aside time during the workday to learn and celebrate diversity. And were always listening for new ways to support everyone in and out of the office. Benefits Medical benefits start on first day of employment 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days Home Office setups and Technology reimbursement Lifestyle & Family benefits Annual Swags/ Festive Swags Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.) .

Manager - Plant HRBP & Data Analytics (Individual Contributor role) Location: Govandi East, Mumbai Reports To: Head - Plant HRBP(Vice President) Work Mode: On-site (5-day week, alternate Saturdays working) Key Responsibilities: Pan-India HRBP & Analytics Impact: Support and collaborate directly with the Head of Plant HRBP (Vice President), who leads people operations across 8 manufacturing locations. Multi-Location Responsibility: Take ownership as HR Business Partner & Data Analytics Manager for all 8 manufacturing sites (encompassing 2,500 employees), ensuring end-to-end HR solutions and data-driven decision making. Data Analytics & Reporting: Analyze and report on key HR metricsheadcount, hiring trends, attrition, exit insights, and employee engagement survey resultsfor all locations. Comprehensive HR Partnership: Oversee the HR function for 3 smaller plants (about 200 employees), driving recruitment, employee relations, performance management, training, development, and retention strategies. Labour Compliance Champion: Ensure company-wide labor law adherence across all 8 plants and the corporate office, track via the Compliglobal portal, and conduct regular audits. Desired Candidate : Full-time MBA in HR (or equivalent). 8+ years of HR experiencepreferably in the manufacturing sector. In-depth knowledge of HR operations, employee relations, and compliance. Hands-on expertise in data analytics tools: Excel, Power BI, Tableau, Google Looker Studio.

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview At TE Connectivity, our People Analytics organization is a strategic partner to the business, leveraging data and analytics to drive informed decision-making across the employee lifecycle. Our team transforms workforce data into actionable insights that support talent strategy, organizational effectiveness, and employee experience. We collaborate closely with HR and business leaders to understand their challenges and opportunities, delivering innovative analytics solutions tailored to their needs. By fostering a data-driven culture and utilizing advanced tools and methodologies, People Analytics plays a critical role in shaping the future of work at TE. Job Responsibilities: Consulting Act as a point of contact to an internal HR organization. Proactively recommend data-driven solutions to support stakeholder challenges. Understand stakeholder questions, business context, and functional needs. Scope, Prioritize and Capture clear statements of work. Ad-hoc Insights Deliver timely insights to answer business questions. Promote and educate stakeholders on self-service tools. Identify opportunities to improve ad-hoc insight delivery. Prototype Translate requirements into prototypes to clarify design and intent. Iterate collaboratively with stakeholders before scaling solutions. Partner with teammates to deliver standard insights tools. Reporting & Story Telling Create visually compelling and logical insights. Design with usability in mind. Simplify complexity into clear, actionable information. Technical / User Support Provide break-fix support and reduce incident frequency. Drive adoption through coaching and enablement. Collaborate with enablement teams to develop support content Technology/Process Stay curious and passionate about new analytics tools and methods. Test, demo, and provide feedback on the analytics tech stack. Desired Candidate Profile: 5+ years of prior experience working in People Analytics Advanced proficiency in MS Excel, Tableau and SQL. Skilled in data storytelling and visualization for executive audiences. Familiarity with predictive analytics, machine learning, and AI-driven insights. Experience with HCM systems (SAP SuccessFactors preferred; Workday or similar). Exposure to modern data platforms (AWS, Redshift, Databricks) and data governance practices. Proven ability to influence and engage with senior stakeholders (VP and Director levels). Strong organizational and program management capabilities. Effective communicator across diverse, global teams. Experience in HR analytics projects related to different HR processed and employee lifecycle (HR Services, engagement, succession, total rewards, talent acquisition, etc) Experience managing HR projects across the employee lifecycle. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

As a Data Science candidate, you will be expected to be hands-on & outcome focused to deliver end to end Data Science projects. You should also possess a proven track record of delivering & managing multiple Data Science projects through its complete lifecycle starting from defining the business problem to recommending action driven insights. You are expected to demonstrate leadership, analytical & project management qualities to not only execute projects independently but drive multiple projects to completion through collaboration, mentoring & consulting in a demanding environment. Work youll do Liaison with on site and client teams to understand various business problem statements analytical requirements Provide suggestions on various machine learning algorithms to solve business analytics problems Drive for value proposition with best in class industry practices & latest algorithms Actively participate in client pursuits, proposals & bids Oversee & improve machine learning models developed by the team & identify scope for model improvements & best practices. Qualifications Required: Experience in descriptive & predictive analytics Education: Bachelors / Masters in a quantative fields. Analytics certificate programs from a premier institute will be preferred. Should have hands on experience implementing & executing Data Science projects throughout the entire lifecycle Expertise in Sentiment Analysis, Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG) Strong understanding of text pre-processing & normalization techniques such as tokenization Strong knowledge of Python is a must Strong SQL querying skills & data processing using Spark Hands on experience in data mining with Spark String expertise in any commercial data visualization tool such as Tableau, Qlik, Spotfire etc. Good understanding of Hadoop ecosystem.

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We're looking for a Manager with expertise in Tagetik Techno functional to join the leadership group of our Advisory Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. Your key responsibilities include supporting client needs by delivering Tagetik consolidation or Planning modules, having good and deep Tagetik AIH skills, integrating Tagetik with multiple source systems, merging, customizing, and deploying Tagetik as per client business requirements. You will need to have experience working with clients throughout various parts of the implementation lifecycle and be proactive with a solution-oriented mindset, ready to learn new technologies for client requirements. To qualify for the role, you must have 9-13 years of relevant experience in implementation planning and Consolidation modules, with 4-6 years in Tagetik products. You should have a good understanding of Tagetik functionality and setup, hands-on experience in AIH and predictive analytics, and knowledge of FST definition, MDM calculations related solutioning with all modules. Additionally, you should have exposure to Smart now modules, a good understanding of ETL with all mapping and calculations, and experience as a lead consultant in AIH and analytical workspace. Ideally, you'll also have a strong understanding of the data close process, proficiency in building and extending metadata functionalities, and the ability to maintain end-to-end accountability and expectations for customer satisfaction and overall delivery excellence. What we look for in candidates is the ability to drive Tagetik technical and functional assignments. This role offers an opportunity to be part of a market-leading, multi-disciplinary team of 10,000+ professionals globally, working with leading businesses across various industries. At EY, you will find support, coaching, and feedback from engaging colleagues, opportunities to develop new skills and progress your career, and the freedom and flexibility to handle your role in a way that's right for you. EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate, asking better questions to find new answers for the complex issues facing our world today.,

Amplework Software is a full-stack development agency based in Jaipur (Rajasthan), IND, specializing in end-to-end software development solutions for clients worldwide. We are dedicated to delivering high-quality products that align with business requirements and leverage cutting-edge technologies. Our expertise encompasses custom software development, mobile applications, AI-driven solutions, and enterprise applications. Join our innovative team that drives digital transformation through technology. We are looking for a Mid-Level Python and AI Engineer to join our team. In this role, you will assist in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with structured and unstructured data, collaborate with data scientists and software engineers, and continuously learn, experiment, and optimize models to enhance performance and efficiency. Ideal candidates should possess a Bachelor's degree in Computer Science, Engineering, AI, or a related field and proficiency in Python with experience in writing optimized and clean code. Strong problem-solving skills, understanding of machine learning concepts, and experience with data processing libraries are required. Familiarity with AI models and neural networks using frameworks like Scikit-Learn, TensorFlow, or PyTorch is essential. Preferred qualifications include experience with NLP using transformers, BERT, GPT, or OpenAI APIs, AI model deployment, database querying, and participation in AI-related competitions or projects. Soft skills such as analytical thinking, teamwork, eagerness to learn, and excellent English communication skills are highly valued. Candidates who excel in problem-solving, possess a willingness to adapt and experiment, and prefer a dynamic environment for AI exploration are encouraged to apply. A face-to-face interview will be conducted, and applicants should be able to attend the interview at our office location. Join the Amplework Software team to collaborate with passionate individuals, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and thrive in a great working environment.,

Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Machine Learning/Artificial Intelligence Engineer, you should have experience with: - Good years of experience in IT with a background in Development, Machine Learning, and/or Data analysis. - Hands-on experience of NLP/AI/ML tools & technologies GPT, BERT, or other language models. - Experience in building GenAI applications, RAG-based architectures. - Model Development: Research, design, implement, and optimize machine learning models for specific use cases such as predictive analytics, NLP, computer vision, and recommender systems. - Data Preparation: Collect, preprocess, and analyze large datasets to extract meaningful insights and ensure data quality for model training. - Deployment: Build and deploy AI/ML solutions into production environments using appropriate tools and frameworks. - Knowledge of one of the cloud platforms is a must: AWS/AZURE. - Collaboration: Work closely with product managers, data engineers, and software developers to integrate AI capabilities into products and ensure alignment with business objectives. - Performance Monitoring: Evaluate and monitor model performance and accuracy post-deployment, iterating to address challenges and refine models as needed. - Strong Affinity to stay informed on the latest trends, tools, and research in AI and machine learning space. - Support and contribute to data collection efforts, as needed. - Verify data quality to ensure accurate analysis and reporting. - Help identify the business data needed to produce the most useful insights and future analytics. - Utilize data to make actionable recommendations at all levels. - Monitor data management processes to ensure data quality and consistency. - Monitor system performance, data integrity, and usage metrics. - Contribute to data dictionary, standards, training, and ongoing updates. Some other highly valued skills may include: - Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms. - Experience in setting up DevOps pipelines. You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role: To design, develop, and improve software, utilizing various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities: - Development and delivery of high-quality software solutions by using industry-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. - Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. - Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. - Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. - Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations: - To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. - Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives, and determination of reward outcomes. - If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L Listen and be authentic, E Energize and inspire, A Align across the enterprise, D Develop others. - OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialization to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross-functional methodologies or practices to meet required outcomes. - Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. - Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. - Take ownership of managing risk and strengthening controls in relation to the work done. - Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function. - Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategy. - Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively. - Communicate complex information. "Complex" information could include sensitive information or information that is difficult to communicate because of its content or its audience. - Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

As an experienced Marketing Analytics Trainer, you will have the opportunity to deliver a comprehensive classroom training program for our Brand Design and Activation Team based in Mumbai (Vikhroli). This program spans over 23 full days and is aimed at 1011 professionals involved in Content Marketing, Digital Marketing, Social Media Marketing, and Campaign Creation & Activation. Your role will involve designing and facilitating a program titled "Marketing Analytics: Data-Driven Decision Making" tailored to Brand Managers, Brand Activation Leads, and Product Marketing Professionals. The primary objective of this program is to equip participants with the knowledge and skills to leverage analytics for marketing decision-making effectively. Throughout the training, you will guide participants to understand the four key types of analytics - Descriptive, Diagnostic, Predictive, and Prescriptive - and demonstrate how each type contributes to informed marketing strategies. Moreover, you will enable participants to translate data insights into actionable marketing plans, utilizing both qualitative and quantitative research tools to extract valuable customer insights. Your expertise will be pivotal in connecting research outcomes to decisions related to brand positioning, campaign development, and product innovation. By integrating analytics and customer insights, you will help create a cohesive decision-making framework aligned with the overarching business goals of the organization. To excel in this role, you are required to have a proven track record in Marketing Analytics training or similar corporate workshops. A strong understanding of data-driven marketing practices and analytical frameworks is essential, along with the ability to engage effectively with cross-functional teams from various departments such as brand, product, and digital. Additionally, the inclusion of hands-on examples and relevant industry use cases in your training sessions is highly preferred to enhance the learning experience for the participants.,

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. This role is essential for organizations looking to leverage big data to make informed decisions, improve operational efficiency, and gain a competitive advantage. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. In this dynamic position, you will be responsible for interpreting complex data sets, identifying trends, and sharing results with stakeholders through compelling visualizations and reports. Understanding business processes and having the ability to communicate technical concepts to non-technical stakeholders are paramount for success in this role. By effectively utilizing data mining and statistical techniques, you will contribute significantly to the organization's overall data-driven strategy and foster a culture of continuous improvement through data insights. Collaborate with cross-functional teams to understand the data analytics needs, design and implement predictive models to drive business solutions, analyze large datasets to discover patterns and trends, create data visualizations to communicate findings effectively to stakeholders, evaluate model performance and refine algorithms to enhance accuracy, utilize statistical methods to validate results and assumptions, assist in the development and maintenance of analytics tools and frameworks, prepare detailed reports and documentation of analyses performed, stay updated with the latest advancements in AI and analytics technologies, train team members on data analytics best practices and tools, facilitate workshops to promote data-driven decision-making, manage multiple projects simultaneously while meeting deadlines, work closely with IT teams to ensure data integrity and security, identify, analyze, and interpret trends in complex data sets, support strategic initiatives through data-driven recommendations. Required Qualifications: - Masters degree in Data Science, Computer Science, Statistics, or related field. - Proven experience in predictive analytics and machine learning. - Strong proficiency in programming languages such as Python or R. - Experience with data visualization tools like Tableau or Power BI. - Solid understanding of statistical analysis and methodologies. - Hands-on experience with SQL and database management. - Excellent problem-solving and critical-thinking skills. - Strong project management abilities with attention to detail. - Ability to work collaboratively in a team environment. - Effective communication skills for presenting technical concepts. - Experience with big data technologies (Hadoop, Spark) is a plus. - Demonstrated ability to adapt to changing priorities and manage multiple projects. - Familiarity with data cleaning and preprocessing techniques. - Understanding of business processes for contextual application of analytics. - Previous experience in a similar role preferred. - Professional certifications in data analytics or related fields are a plus. Skills: data visualization, problem-solving, Python, communication skills, statistical analysis, machine learning, predictive analytics, AI/ML, data mining, data analysis, R, big data technologies, team collaboration, predictive modeling, SQL, project management.,

As a Data Analyst specializing in Data Visualization & Reporting, you will be responsible for working with large datasets obtained from various inspection sources such as LiDAR, drones, and thermal imaging. Your primary tasks will include building insightful dashboards and reports using tools like Power BI, Tableau, or Looker. Additionally, you will be involved in developing and deploying predictive models and statistical analyses to detect anomalies and prevent failures. Collaboration with engineering and operations teams will be crucial as you translate complex data into operational insights. Ensuring high-quality, clean, and consistent data through the implementation of validation pipelines will be part of your routine. You will also leverage basic electrical domain knowledge for enriched interpretations, focusing on fault detection, insulator/conductor analysis, and more. Furthermore, your role will involve continuously improving analysis workflows and automating repetitive data processes. To excel in this position, you should have at least 3 years of hands-on experience as a Data Analyst/Data Scientist. Proficiency in SQL, Python (Pandas, NumPy), or R for data manipulation is essential. Strong skills in data visualization tools like Power BI, Tableau, or Looker are required, along with experience in working with time-series data or sensor-based data from industrial sources. Exposure to predictive analytics, ML algorithms, or data modeling techniques will be beneficial. A solid understanding of data pipelines and best practices in data management is necessary. Familiarity with AWS/Azure/GCP for data processing is a plus, and background or familiarity with geospatial data or tools like QGIS is considered a bonus. Preferred qualifications for this role include a degree in Data Science, Engineering, or Computer Science, as well as prior experience with inspection data, IoT, or utilities/power transmission systems. Knowledge of domain-specific platforms used for power line inspections and certification in data analysis/ML platforms like Google Data Analytics or Microsoft DA will be advantageous. In addition to technical skills, soft skills such as strong analytical thinking, attention to detail, and the ability to convert technical findings into business-focused insights are essential. Being a team player with cross-functional collaboration experience and effective written and verbal communication skills will contribute to your success in this role.,

We are looking for a skilled Senior Data Scientist with expertise in NLP and Machine Learning to join our team at Harmony Data Integration Technologies. The ideal candidate will have a strong background in developing innovative data solutions and driving business growth through data-driven insights. Roles and Responsibility Design, develop, and deploy advanced NLP models to extract valuable insights from large datasets. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Develop and maintain complex machine learning models using various algorithms and techniques. Work closely with stakeholders to understand business requirements and deliver high-quality results. Stay updated with industry trends and emerging technologies in NLP and machine learning. Lead the development of predictive analytics solutions to drive business growth. Job Requirements Strong proficiency in programming languages such as Python, R, or Java. Experience with NLP libraries such as NLTK, spaCy, or Stanford CoreNLP. Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Excellent understanding of statistical concepts and data modeling techniques. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate complex ideas effectively.

Role Description : Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation : Lead the data scientists in hands-on mode developing and deploying advanced machine learning models, including anomaly detection, predictive analytics, causal inferencing and action recommendation models, to autonomously discover problems and identify root causes and recommend actions in real-time and batch processing scenarios Gen-AI-Powered Analysis and Insights Generation: Lead the data scientists in hands-on mode creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable, natural language insights for business stakeholders. Implement prompt engineering and fine-tuning techniques to enhance the relevance and accuracy of insights. Reference Architectures : Work with Technical Architects to evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time. Client Deployments of the Platform: Consult and provide guidance for creating automated data pipelines for raw data and engineered features ensuring data quality, integrity, and accessibility for model training and inference. Development of Use Cases: Lead and support development of the use cases on the platform for various vertical specific problem statements. Leadership and Collaboration: Lead and mentor a team of data scientists and machine learning engineers, Pre-sales: Support pre-sales, marketing hyper-scaler partnerships and other sales activities such as RFPs by providing subject matter expertise during scoping and designing of the engagements. Technical Skills : In-depth conceptual understanding of Statistics, Classical Machine Learning, Deep Learning and GenAI Able to understand the nuances of business problems in various domains, quickly grasp the problem discovery analysis and modelling imperatives and translate those into the requirements for AI models Significant exposure to various proprietary & open-source cloud-based Machine Learning platforms such as Amazon Sagemaker / Azure Machine Learning Studio / Google Datalab ML Engine AutoML / H2O etc. Experience in leveraging open-source LLMs and prompt engineering and RAG based SLM model development Hands-on with excellent ML programming skills in Python using open-source libraries Qualifications Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies 14-16 years of Machine Learning model development and application experience Experience in building cloud-based products that implement ML modelling as a service would be ideal

S&C GN - Tech Strategy & Advisory - Enterprise Architecture _ Business Transformation -Senior Manager Enterprise Architecture & Business Transformation Join our team in Technology Strategy & Advisory for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Enterprise Architecture & Business Transformation | Level:Sr Manager / Associate Director | Location: Bangalore/Gurugram/Mumbai | Explore An Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. We provide you with a great learning ground, deep-rooted in , where you will get an opportunity to advice and work with our key global clients, driving end-to-end transformative strategic value and business growth. As a part of this high performing team, you will proactively and holistically help and guide the enterprise leaders, product managers, product owners and distributed product delivery teams through transformation and optimization initiatives, supporting the formulation of business strategy, outcomes and capabilities. Your scope of activities could include helping the organization achieve targeted business outcomes related to growing revenue, optimizing costs, mitigating risks and improving sustainability. You focus on development of the business and IT strategy and enterprise architecture of the organization as a whole. You would be expected to: Facilitate alignment between business and IT, and across the democratized IT landscape Engage business and IT stakeholders, building and maintaining relationships Adapt to changing business and operating models Analyze trends and disruptions, and assess their impact on targeted business outcomes Tell stories to visualize the future state and trigger long-term planning Support various operating models such as project-centric and product-centric Communicate the value of enterprise architecture, and its portfolio of services Drive the evolution of the EA teams services and operating model Coach and mentor other architects, product owners/managers and business stakeholders to instill architectural thinking Scope of Activities: As an Technology Strategy & Advisory leader, you will demonstrate competencies across four key dimensions: Support Formulation of Strategy and Guide Execution Work with business and leadership stakeholders to develop strategy Lead the analysis of business and operating models, market trends and the technology industry to determine their potential impact on the enterprises business strategy, direction, and architecture. Provide perspective on the readiness of the organization to change and innovate through scenario planning techniques, and supports formulation of business strategy. Uses planning-driven, design-driven and learning-driven approaches to construct future- and current-state business models. Connects Strategy to Execution Facilitate business and IT alignment, connecting strategy to execution, through a collaborative, supportive and consultative manner, driving the organizations digital business strategies and balancing innovation and growth. Translate and guide execution of business strategy to achieve the organizations targeted business outcomes. Construct technology-enabled business and operating models and provides viable options and visibility into execution issues. Build and Maintain Relationships Build the Technology value proposition and structure business engagement Build the Tech value proposition, offering services and skills to support the development and execution of business strategy. Develop a portfolio of consulting services, designed to meet business and stakeholder needs, and delivers in an agile and time-boxed way. Determine the relationship between people, processes, information, technology and other components of the enterprise operating model. Enable value-based messaging and manage cross-functional relationships Provide consultative advice, adapted to stakeholder context, to business leaders and organizational stakeholders who seek actionable recommendations to make investment decisions about the next business and operating model of their organization, using technology to make that change happen. Lead interaction with business leaders, product managers and product owners in a business-driven conversation over the risks and implications of the product decision to the line of business, business unit and greater enterprise. Orchestrate the Delivery of Business Outcomes Bring alignment across business and IT Lead analysis of the business future-state capabilities and future (and current) IT environment to detect critical gaps and opportunities and recommend solutions for improvement to drive the business towards its targeted outcomes. Identify organizational requirements for the resources, structure and cultural changes necessary to support the enterprise architecture. Work with the CIO and IT leaders to find the right Tech organizational design to drive business-outcomes. Support Solution Design and Delivery Support portfolio modernization and develop roadmaps Maintain the alignment, integration and coordination of architecture activities across different programs, projects and products as they evolve over time. Present gap analyses and/or IT investment roadmaps that reflect the status of the existing IT landscape, namely, its ability to contribute to future-state business capabilities around ecosystems and digital platforms. Lead analysis of the IT environment to detect critical deficiencies and recommend solutions for improvement. Lead the development of an implementation plan for the enterprise architecture based on business requirements and the varying IT strategies for project-driven or product-driven delivery teams. Support solution design and delivery Develop and apply minimal viable architectures, which can include a set of standards, reference architecture patterns, principles and guardrails, through the EA governance model, which is informed by the business strategy and corporate governance. Facilitate a collaborative relationship across architecture community, product management and product delivery teams by providing freedom-in-a-box for decision making, with the minimal viable architecture forming the boundaries of the box. Collaborate with delivery teams to ensure consistency with the enterprise architecture, as well as to leverage shared technologies, tools and processes that impact speed to value and time to market. Collaborate with infrastructure teams to ensure consistency with the enterprise architecture, as well as to identify when it is necessary to modify the enterprise architecture. Read more about us. Your experience counts! Masters or bachelors degree in business, computer science, computer engineering, electrical engineering, system analysis or a related field of study, or equivalent experience. 15 or more years of business experience in strategic and operations planning and/or business analysis or experience as an enterprise architecture 10 or more years of experience in at least three disciplines, such as business, information, solution or technical architecture, application development. Technical Skills: Knowledge of business ecosystems, SaaS, IaaS, PaaS, SOA, APIs, open data, microservices, event-driven IT, data and predictive analytics. Understanding of business models, operating models, financial models, cost-benefit analysis, budgeting and risk management. Insight into information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, and Enterprise Architecture and ITIL frameworks. Understanding of various operating models such as project-centric and product-centric and also different types of agile principles, methodologies and frameworks, especially those designed to be scaled at the enterprise level. Awareness of existing, new and emerging technologies, and processing environments. Effective leadership skills with exceptional soft and interpersonal skills, including teamwork, facilitation and negotiation. Strong consulting skills such as targeted communications, engagement management, stakeholder management and business development. Mastery of all components of enterprise architecture, business & IT principles and processes. Industry Experience: Experience of working on Digital transformations within Banking or Insurance industry and related platforms modernization Experience working across banking segments like retail, corporate, wealth, investment or Life / P&C insurance Working experience and expertise in core banking systems, digital banking, payment processing, financial transaction platforms and open banking etc. Knowledge of banking or insurance operations, regulatory requirements, industry best practices and standards specific to the banking or insurance sector Understanding and working knowledge (preferably) of banking platforms like Temenos, Finastra, FIS, Bancs, Fiserv, Oracle FLEXCUBE, Backbase or in insurance platforms like Guidewire, Duck Creek, Majesco, EIS, and familiarity with the ACORD model Certifications like BIAN are highly desirable Competencies: Excellent analytical, planning and organizational skills. Organizationally savvy, with situational and contextual intelligence of the political climate of the enterprise and how to navigate obstacles and politics. Balances the long-term (big picture) and short-term implications of individual decisions and organization goals. Estimates the financial impact of Technology options and applies multiple solutions to business problems. Rapidly comprehends the functions and capabilities of new technologies. Ready to think, behave and act in an innovative consulting manner to drive the organizations digital business strategies. Understands and speaks the language of the business. Excellent written, verbal, communication and presentation skills with the ability to articulate new ideas and concepts to technical and non-technical audiences. Characteristics: Trusted and respected as a thought leader who can influence and persuade business and IT leaders. Comfortable, experienced and accomplished at working with business executives, and able to push back in a professional and diplomatic way. Highly collaborative and supportive of business and of its ideals and strategies. Highly innovative with aptitude for foresight, systems thinking and design thinking. Vendor- and technology-neutral more interested in achieving targeted business outcomes than in personal preferences, or in vested personal preferences of other business and IT leaders. Composed in the face of opposition to architectural principles, governance and standards. Practical in approach to problem solving and decision making Whats in the for you | . Qualification Years of Exp: 15 to 21

What this job involves: Redefining user support Transforming the transport user experience through innovative support solutions that empower travellers , streamline journey management, and enhance overall satisfaction. This approach integrates real-time data, predictive analytics, and personalized assistance to create a seamless support ecosystem. It anticipates traveller needs, resolves issues proactively, and converts potential disruptions into opportunities for improved service. From intuitive mobile apps to AI-powered chatbots and smart kiosks, this redefined support system ensures travellers receive timely , relevant, and personalized assistance throughout their journey, ultimately making transport more accessible, efficient, and user-friendly. Being a core part of operations Transport operations form the vital backbone of organizational logistics , serving as a linchpin in the broader operational framework. This critical function orchestrates the seamless movement of goods, services, and people, directly impacting efficiency, cost-effectiveness, and overall business performance. As a core component , transport operations integrate with and influence various other operational areas including supply chain management, inventory control, customer service, and financial planning. By optimizing routes, leveraging cutting-edge fleet management technologies, and implementing sustainable practices, transport operations drive operational excellence, enhance resource utilization , and contribute significantly to an organization's competitive edge and bottom line. The strategic importance of this function extends beyond mere logistics , playing a crucial role in shaping business strategies, meeting customer expectations, and adapting to market dynamics in an increasingly interconnected global economy. On top of these, youll take part in the CIWG competition to present your ideas. You will also set up the FM helpdesk in the new facilities, including the creation of the location in the tool; and, likewise, train the respective stakeholders. Youll also take charge of publishing both the daily SLA report and daily fulfilment report to the pan-India team. Using your superb Microsoft office skills, you will also craft helpdesk-related PPT slides for MMR, QBR and ABR.

NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As an Associate Managing Consultant in Business Experimentation at Mastercard's Advisors & Consulting Services group, you will be part of a team that specializes in advising executives on business decisions using the industry-leading predictive analytics SaaS platform, Test & Learn. Your role will involve collaborating with customers to identify key priorities and designing and executing business experiments to determine the effectiveness of various ideas and their deployment strategies. Your responsibilities will include managing deliverable development and workstreams on projects spanning different industries and problem statements. You will contribute to the development of strategies and programs for regional and global clients by utilizing data science tools such as Test & Learn. Building and maintaining a strong working relationship with client managers will be crucial, as you act as a trusted partner and provide analytical and technical expertise to drive client success through Test & Learn adoption. In addition to client impact, you will play a key role in fostering team collaboration and a positive work culture. This involves developing sound business recommendations, delivering impactful client presentations, and organizing and structuring work for both yourself and junior project delivery consultants. Leading team and external meetings, managing project management tasks, and contributing to the firm's intellectual capital will also be part of your responsibilities. You will gradually transition from coaching to taking ownership of day-to-day project management across client projects and mentoring junior consultants. To excel in this role, you should hold an undergraduate degree with analytical experience in consulting, analytics, or data science. Strong analytical, interpretive, and problem-solving skills are essential, along with proficiency in analyzing large datasets and deriving key insights. Logical thinking, numerical analysis capabilities, and proficiency in Word, Excel, and PowerPoint are required. Effective communication skills in English and the local office language, if applicable, are necessary. You should also be eligible to work in the country where you are applying and be open to travel as required. Preferred qualifications include additional experience in data modeling, database management, data visualization tools, or time series analysis. Experience in managing tasks within collaborative teams, coaching junior consultants, and possessing industry expertise are advantageous. While an MBA or master's degree is not mandatory, it can be beneficial for this role. Given the nature of the work involving access to Mastercard assets, information, and networks, you are expected to abide by security policies, maintain confidentiality and integrity of information, report any security breaches, and undergo periodic security training as per Mastercard's guidelines.,

As a Staff Product Designer at our company, you will be responsible for leading the design of AI and LLM-driven Voice, Video, and Chatbot products that revolutionize how talent acquisition teams interact with candidates. By creating seamless user experiences, you will empower talent acquisition teams to leverage the capabilities of automation and conversational AI, ultimately enhancing efficiency and delivering personalized experiences for both recruiters and candidates. Your key responsibilities will include collaborating with Product, Engineering, and customer-facing teams to shape the future direction of your product areas. You will own the end-to-end product design lifecycle, from problem definition to ideation, validation, implementation, and continuous improvement. Additionally, you will develop user journey maps, information architecture, wireframes, UX patterns, prototypes, and visual designs, while effectively communicating your designs, decisions, and insights to address user needs. Furthermore, you will champion design thinking and user-centered design methodologies, drive discovery, ideation, and customer research efforts, and contribute to the development of the Sense Design System to elevate the impact of design within the organization. By fostering a strong design culture through collaboration, empathy, feedback, and customer-centricity, you will play a vital role in enhancing our overall product design strategy. To be successful in this role, you should have at least 7 years of experience in driving end-to-end design for complex B2B SaaS products, particularly focusing on multi-persona workflows, automation, and scalable enterprise solutions. Your portfolio should demonstrate your expertise in designing AI/ML-powered features, such as chatbots, recommendation systems, and automation workflows, as well as your proficiency in UX architecture, customer journey mapping, and high-fidelity design prototypes. You should also possess a solid understanding of modern UX/UI design principles for web and mobile platforms, along with experience in building strong partnerships with product and engineering stakeholders in an agile environment. In addition to technical skills, you should exhibit a strong bias towards action and have high proficiency in Figma and experience with design systems. Please note that applications without a portfolio showcasing AI-driven SaaS products and solutions will not be considered. Our company offers various perks and benefits, including equity, medical insurance for employees and dependents, quarterly Professional Development allowance, and Company Wellness Days. We are committed to fostering a diverse, inclusive, and belonging work environment and are an equal-opportunity employer that values individuals from all backgrounds. We assure you that all your information will be treated with confidentiality in accordance with EEO guidelines. If you are passionate about leveraging design to drive innovation and create impactful solutions, we invite you to join our team and contribute to shaping the future of talent acquisition through cutting-edge product design.,

As an Analytics and Modeling Specialist at Accenture, you will play a crucial role in providing data-driven analytics to Market/Services leadership. Your primary responsibility will involve delivering analytics to one of the Markets/Services, proposing and executing cost-effective analysis to meet the business needs of Biz Ops Leads within the Market/Service. This will include defining metrics, understanding business requirements, identifying data sources, executing analyses, and delivering outcomes through necessary channels. Your focus will be on developing, modifying, enhancing, and adding value to key deliverables to support leadership in their review meetings. To be successful in this role, you should have a graduate degree (or equivalent), with a full-time MBA from a tier I or tier II institution preferred. You should have 6-8 years of work experience, with at least 3 years in Analytics/Reporting/PMO roles. Strong knowledge of advanced Excel, PowerPoint, and data visualization tools like Power BI is essential. Knowledge of SQL, SSRS, Access, VBA, and experience in data sciences/predictive analytics will be advantageous. Familiarity with Power Apps is also preferred. Key behaviors and skills required for this role include experience in data visualization and analytics, understanding of dashboards and scorecards for leadership review, ability to manage multiple projects simultaneously, strong analytical skills, proficiency in Excel/PPT/Power BI, and excellent project management skills. You should be able to collaborate effectively with teams across different geographies and maintain a good working relationship. Attention to detail, innovation, production management, team development, and project management are also critical aspects of this role. In your role as an Analytics and Modeling Specialist, you will be accountable for providing business operations support to Services/Markets, producing analytics across various business dimensions, writing business insights, driving adoption of standard Accenture tools, and working in an agile manner to address on-demand change requests and ad-hoc reporting needs. You will also be responsible for project management, requirement gathering, project delivery, and tracking actions, issues, and challenges. Your job summary will involve acting as a business partner to Market/Service Leads, providing data-driven insights using analytics and data visualization tools, managing business result reviews, analyzing programs, providing operations support and reporting to leadership, enabling leadership with actionable insights, leveraging Accenture tools for better business insights, and coordinating dashboards and presentations for regular business reviews. Your responsibilities will include developing yourself as a subject matter expert on business analytics and data, combining Accenture product understanding with business acumen, engaging with stakeholders, conducting update meetings, managing crises, and partnering with stakeholders to provide data-driven business advice. If you meet the qualifications and possess the skills and behaviors mentioned above, we encourage you to apply for this exciting opportunity to be part of the Analytics and Modeling team at Accenture.,