data analyst

analyst

data scientist

digital marketing analyst

senior data scientist

advanced analytics

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 Enterprise Performance
 
 
 Our Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to support the delivery of holistic performance improvement and digital transformation. We support Deloitte client service teams of strategic advisors and architects, differentiated by our industry depth to help collaborate with leading insights providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable the heart of business solutions.
 
 
 Position Summary
 
 
 Level: Advance analytics Consultant
 
 
 As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
 
 
 Work you&rsquo;ll do :
 
 
 As a Consultant in Deloitte&rsquo;s Supply chain &amp; Network Operations team, you will:
 
 
 <ul>
 <li>
 Collaborate with analytics teams to manage and analyze big and small data.
 </li>
 <li>
 Apply advanced analytics and create impactful visualizations (Tableau, Qlik, PowerBI).
 </li>
 <li>
 Deliver high-quality work and adapt quickly, independently or in teams.
 </li>
 <li>
 Use strong SQL skills to wrangle and transform data across databases (MS SQL, MySQL, PostgreSQL, Oracle, MongoDB).
 </li>
 <li>
 Employ data wrangling and analytics expertise using Python, R, SPSS, Minitab, and Excel.
 </li>
 <li>
 Support teams by identifying and resolving technical or data issues, ensuring insights address business needs.
 
 
 </li>
 </ul>
 The T eam:
 
 
 From our centers, we work with Deloitte consultants to analyze, design, develop, and build solutions to help clients reimagine, reshape and rewire the competitive fabric of their supply chains across industries. Our centers house a multitude of specialists, ranging from systems designers, architects, integrators, analytics experts, domain specialists to creative digital experts as well as cyber risk and human capital professionals. All work together on diverse projects from advisory services, advanced preconfigured solutions and methodologies, to brand building and campaign management. We are a unique blend of skills and experiences, yet we underline the value of each individual, providing customized career paths, fostering innovation and knowledge development with a focus on quality.
 
 
 Qualifications :
 
 
 Must have Skills :
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in data visualization troubleshooting, including resolving object failures, database connectivity issues, and data processing errors, preferably within Tableau.
 </li>
 <li>
 3+ years supporting data analytics using statistical and analytical software such as R, SAS, SPSS Statistics, SPSS Modeler, Minitab, or Matlab.
 </li>
 <li>
 Experience in Supply Chain analytics, with familiarity in working with supply chain-related data sources such as SAP Planning or Oracle Planning modules.
 </li>
 <li>
 Strong analytical and problem-solving skills, with demonstrated ability to troubleshoot complex technical data analytics issues.
 </li>
 <li>
 Proficiency in programming with Python or similar scripting languages (e.g., R, SQL).
 </li>
 <li>
 Experience with ETL tools such as SSIS, Informatica, or Alteryx for data extraction, transformation, and loading.
 </li>
 <li>
 Hands-on experience with data visualization tools such as Tableau, QlikView, Qlik Sense, or Power BI, enabling effective communication of insights.
 </li>
 <li>
 Proficient in Microsoft Office applications, including Visio, PowerPoint, Excel, and Access, for documentation and presentation.
 </li>
 <li>
 Excellent communication and collaboration skills, enabling effective teamwork and stakeholder engagement across cross-functional teams.
 
 
 </li>
 </ul>
 Good to have Skills:
 
 
 <ul>
 <li>
 Ability to identify and resolve technical issues swiftly, supporting smooth analytics operations.
 </li>
 <li>
 Strong problem solving and troubleshooting skills, with the capacity to exercise mature judgment in ambiguous situations.
 </li>
 <li>
 Experience with big consulting firms or relevant industry experience, providing valuable context and best practices.
 </li>
 <li>
 Exposure to advanced analytics methodologies or emerging technologies in data science.
 </li>
 <li>
 Familiarity with additional supply chain platforms or planning modules beyond SAP and Oracle.
 </li>
 <li>
 Experience with workflow automation or cloud-based analytics environments.
 </li>
 <li>
 Professional certifications in analytics, data visualization, or supply chain management.
 
 
 </li>
 </ul>
 Education:
 
 
 <ul>
 <li>
 B.E, B.Tech, BBA from a leading school in India or abroad
 
 
 </li>
 </ul>
 Location:
 
 
 <ul>
 <li>
 Bengaluru/Hyderabad/ Kolkata/Chennai/Pune
 
 
 </li>
 </ul>
 #SCNOFY26Hiring
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 302605
</div>

Advanced Analytics

PwC India

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 Data, Analytics &amp; AI
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
 In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
 
 
 
 
 Why PWC
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for&nbsp;our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for&nbsp;each other. Learn more about us.
 
 
 At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
 
 
 
 Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
 
 
 
 Responsibilities:
 
 
 &middot; Collaborate with business stakeholders to understand objectives, processes, and key performance indicators (KPIs). &middot; Gather, clean, and analyze data from multiple sources to identify trends, patterns, and opportunities. &middot; Translate business requirements into analytical solutions and reports. &middot; Design and develop dashboards and reports using tools like Power BI, Tableau, or Excel. &middot; Perform data validation and ensure accuracy, completeness, and reliability of data. &middot; Present insights and recommendations to management in a clear, data-driven manner. &middot; Support forecasting, financial modeling, and performance tracking initiatives. &middot; Work closely with data engineers and data scientists to optimize data pipelines and models. &middot; Continuously monitor and improve data quality and analytical methodologies
 
 
 Mandatory skill sets:
 
 
 &middot; Strong analytical and problem-solving skills with attention to detail. &middot; Proficiency in SQL for data extraction and manipulation. &middot; Experience with data visualization tools (e.g., Power BI, Tableau, Qlik, or Looker). &middot; Strong knowledge of Excel (advanced functions, pivot tables, etc.).
 
 
 Preferred skill sets:
 
 
 &middot; Certification in Business Analysis (CBAP, CCBA) or Data Analytics (Google, Microsoft, Tableau).
 
 
 Years of experience required:
 
 
 4-8
 
 
 Education qualification:
 
 
 B.Tech / M.Tech / MBA / MCA
 
 
 
 
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 
 Required Skills
 
 
 Business Analyzer
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 
 
 Government Clearance Required?
 
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

IN_Senior Associate_Business Analyst _Data Analytics_ Advisory_Pune

Williams-Sonoma, Inc.

<div>
 
 
 JOB DESCRIPTION
 
 
 
 
 WILLIAMS-SONOMA INDIA
 
 
 
 Job Description
 
 
 
 __________________________________________________________________________________
 
 
 Work Location : Pune, India
 
 
 Job Title : Data Scientist (Lead)
 
 
 Business Unit : WSI Corporate Technology, Pune/Hyderabad
 
 
 Lead Data Scientist
 
 
 
 About The Role
 
 
 
 We are seeking an experienced Lead Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in advanced analytics, machine learning, and agentic AI, with a proven ability to lead complex projects from ideation to deployment. This role involves driving innovation, mentoring junior team members, and collaborating with cross-functional teams to deliver impactful, data-driven solutions in the retail sector.
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of advanced predictive models, agentic AI solutions, and statistical analyses to solve high-impact business problems.
 </li>
 <li>
 Analyze large, complex datasets to extract actionable insights and guide strategic decision-making.
 </li>
 <li>
 Drive exploratory data analysis (EDA) and communicate findings to both technical and non-technical stakeholders.
 </li>
 <li>
 Partner with business leaders and stakeholders to define analytical objectives, data requirements, and success metrics.
 </li>
 <li>
 Mentor and provide technical guidance to data scientists and ML engineers, fostering a culture of learning and innovation.
 </li>
 <li>
 Architect and optimize scalable data pipelines and workflows using Spark and other big data technologies.
 </li>
 <li>
 Oversee the integration of agentic AI models with traditional machine learning approaches, ensuring robust, autonomous, and multi-modal solutions.
 </li>
 <li>
 Monitor, evaluate, and continuously improve the performance of deployed models and analytics solutions.
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and best practices in AI, ML, and data science.
 </li>
 <li>
 Contribute to the development of data science standards, code reviews, and knowledge sharing within the team.
 
 
 
 </li>
 </ul>
 Criteria
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Data Science, Computer Science, Statistics, or a related field, or equivalent work experience.
 </li>
 <li>
 8+ years of experience in data science, machine learning, or a related role, with a track record of delivering production-grade solutions.
 </li>
 <li>
 Demonstrated expertise in agentic AI, generative AI, and multi-modal systems, including the development and deployment of autonomous agents.
 </li>
 <li>
 Advanced proficiency in Python, NumPy, Scikit-learn, TensorFlow, PyTorch, Scala, or similar languages and frameworks.
 </li>
 <li>
 Working experience with big data technologies (e.g., Hadoop, Spark) and cloud-based data platforms.
 </li>
 <li>
 Deep understanding of statistical modeling, machine learning algorithms, and best practices for model validation and monitoring.
 </li>
 <li>
 Strong EDA and data storytelling skills, with the ability to influence business strategy through data-driven insights.
 </li>
 <li>
 Experience leading projects and mentoring junior team members.
 </li>
 <li>
 Experience in the retail sector is highly desirable.
 </li>
 <li>
 Excellent problem-solving, project management, and communication skills, with the ability to translate complex technical concepts for diverse audiences.
 
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen
 
 
 and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce
 
 
 retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are
 
 
 Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teens, West Elm, Williams-Sonoma Home,
 
 
 Rejuvenation, GreenRow and Mark and Graham. We currently operate retail stores globally. Our products are
 
 
 also available to customers through our catalogs and online worldwide.
 
 
 Williams-Sonoma has established a technology center in Pune, India to enhance its global operations. The India Technology Center serves as a critical hub for innovation and focuses on developing cutting-edge solutions in areas such as e-commerce, supply chain optimization, and customer experience management. By integrating advanced technologies like artificial intelligence, data analytics, and machine learning, the India Technology Center plays a crucial role in accelerating Williams-Sonoma's growth and maintaining its competitive edge in the
 
 
 global market
 
 
 
 
 ABOUT US
 
 
 
 
 
 Williams-Sonoma India Pvt. Ltd.
 
 
 
 Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teens, West Elm, Williams-Sonoma Home, Rejuvenation, and Mark and Graham. We currently operate retail stores globally. Our products are also available to customers through our catalogs and online worldwide.
 
 
 Williams-Sonoma India sourcing office was established in 2013. We are based in Gurugram, India. We are sourcing premium products across all categories of Home Furnishing and recorded double digit year-on-year growth. We have a dynamic team of over 100 members handling versatile vendors across India, Nepal &amp; Bangladesh. We are looking to onboard talented people and create successful professional journey.
</div>

Data Scientist (Lead)

Siemens Digital Industries Software

<div>
 We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation - helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
 
 
 Siemens Digital Industries Software is seeking a highly analytical and detail-oriented Data Analyst to join our team, with a focus on market and competitive intelligence. In this role, you will be instrumental in collecting, cleaning, and interpreting various data sets to uncover trends, patterns, and actionable insights. You will apply advanced analytical techniques, including correlation analysis, statistical analysis, and the development of predictive models, to inform strategic decisions and improve efficiency across different time zones. This position will work directly with US based peers. A key responsibility will be to translate complex analytical findings into clear, compelling, and informative PowerPoint presentations for diverse audiences.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Data Collection &amp; Sourcing: Identify, extract, and consolidate data from diverse internal and external sources.
 </li>
 <li>
 Data Cleaning &amp; Preprocessing: Ensure the accuracy, consistency, and completeness of data through validation and transformation processes, preparing it for analysis.
 </li>
 <li>
 In-depth Data Analysis: Conduct comprehensive analysis including identifying significant trends, patterns, anomalies; understand relationships between different variables; and develop and apply predictive models (e.g., regression, time series forecasting).
 </li>
 <li>
 Insight Generation: Translate complex analytical findings into clear, concise, and actionable insights.
 </li>
 <li>
 Reporting &amp; Presentation: Design and create highly informative and visually engaging PowerPoint presentations and/or reports to effectively communicate analytical results and insights.
 </li>
 <li>
 Collaboration &amp; Stakeholder Engagement: Partner closely with global Strategic Planning and Data Analytics teams maintaining effective handoffs.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Advanced Data Analysis: Strong proficiency in statistical analysis, hypothesis testing, regression analysis, time series analysis, and other quantitative methods.
 </li>
 <li>
 Predictive Modeling: Demonstrated experience in developing and applying predictive models to real-world business problems.
 </li>
 <li>
 Presentation &amp; Communication: Exceptional ability to create clear, compelling, and visually appealing PowerPoint presentations that effectively convey complex analytical findings and tell a data story. Excellent verbal and written communication skills.
 </li>
 <li>
 Problem-Solving: Highly analytical mindset with strong problem-solving skills and the ability to translate business questions into analytical frameworks.
 </li>
 <li>
 Attention to Detail: Meticulous attention to detail in data accuracy, analysis, and reporting.
 </li>
 <li>
 Educational and Work Background: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
 </li>
 <li>
 Experience: 3+ years of professional experience in a dedicated Data Analyst, Business Intelligence Analyst, or similar role with a strong emphasis on statistical analysis, predictive modeling, and reporting.
 
 
 </li>
 </ul>
 
 Working at Siemens Digital Industries Software
 
 
 
 
 Why us?
 
 
 
 Working at Siemens Digital Industries Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 
 Transform the everyday
 
 
 
</div>

Data Analyst

NielsenIQ

<div>
 
 Company Description
 
 
 
 The very rapid development of e-commerce today gives access to thousands of information. These data are difficult to exploit by companies, which then have difficulty choosing the right levers of action and measuring their impact.
 
 
 This is where NIQ for Digital Commerce comes in! Every day, we collect more than 60 billion pieces of information, process them and use them in innovative monitoring and action tools for professionals in the sector. Our goal: to give our customers and consumers real-time visibility into the market. Today : NIQ for Digital Commerce is a leading start-up in the &lsquo;Retail Analytics&rsquo; sector. In full growth, particularly internationally, we are looking for new collaborators to join our fabulous team! A young but experienced, dynamic and complementary team: a resolutely start-up spirit! Real job and career opportunities A friendly atmosphere and a climate of trust that promotes autonomy and challenge!
 
 
 
 Job Description
 
 
 
 We are looking for an experienced Senior Data /ML Engineer to join our growing Machine Learning team. Your work will entail working on one or more projects at a time with tasks such as:
 
 
 <ul>
 <li>
 Developing ML tools (web services, APIs, etc)
 </li>
 <li>
 Preparing data for ML models
 </li>
 <li>
 Researching the latest technologies used in ML (time-series, NLP, Image recognition, ...)
 </li>
 <li>
 Developing and improving predictive model
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proficiency with Python; knowledge of C++ or Golang is a plus
 </li>
 <li>
 Experience with ML frameworks such as PyTorch, TensorFlow, or Keras
 </li>
 <li>
 Experience deploying and managing ML solutions in cloud environments such as Google Cloud Platform (GCP), AWS, or Azure
 </li>
 <li>
 Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow) for production deployment
 </li>
 <li>
 Experience with time-series analysis and/or data engineering is a plus
 </li>
 <li>
 Comfortable working with Linux, Jupyter, Git, SQL, and NoSQL databases
 </li>
 <li>
 Strong experience with Pandas and SQL (including performance optimization and query tuning)
 </li>
 <li>
 Skilled in writing and maintaining Dockerfiles for reproducible builds
 </li>
 <li>
 Professional proficiency in English
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Hybrid mode : 1per week at Chennai or Pune Office
 
 
 
 Our Benefits
 
 
 
 <ul>
 <li>
 Flexible working environment
 </li>
 <li>
 Volunteer time off
 </li>
 <li>
 LinkedIn Learning
 </li>
 <li>
 Employee-Assistance-Program (EAP)
 
 
 </li>
 </ul>
 
 About NIQ
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
 
 
 For more information, visit NIQ.com
 
 
 Want to keep up with our latest updates?
 
 
 Follow us on: LinkedIn | Instagram | Twitter | Facebook
 
 
 
 Our commitment to Diversity, Equity, and Inclusion
 
 
 
 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
 
 
</div>

Senior ML Engineer

Tata Communications Transformation Services (TCTS)

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Location: Pune
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 We are seeking a visionary and execution oriented Senior Manager to lead customer centric projects focused on AI powered and Autonomous Network Solutions, spanning wireless (4G/5G), wireline (fiber, broadband), and Fixed Wireless Access (FWA) domains.
 </li>
 <li>
 This role connects business strategy, technical innovation, and operational delivery, ensuring customer success through intelligent network transformation.
 </li>
 <li>
 Key Responsibilities AI and Autonomous Network Solutions Lead e2e engagement for AI enabled, closed loop autonomous network solutions across wireless, wireline, and FWA technologies.
 </li>
 <li>
 Translate customer requirements into delivery roadmaps featuring AI/ML models, LLM prompting, network self-healing, and predictive analytics.
 </li>
 <li>
 Oversee deployment of automation use cases like alarm correlation, anomaly detection, traffic prediction, and zero touch optimization.
 </li>
 <li>
 Sales Enablement and Solution Engineering Partner with sales, product, and pre sales engineering teams to design scalable, AI driven solutions for both wireless (4G/5G NSA/SA) and wireline networks (FTTx, xDSL, GPON, DOCSIS).
 </li>
 <li>
 Create and present business cases and proof of concepts (PoCs) tailored to hybrid network environments, including FWA deployment strategies. Develop proposals that address customer pain points using AI driven KPI insights, RF/wireline performance analytics, and capacity modelling.
 </li>
 <li>
 Project Leadership and Delivery Execution Manage cross functional delivery of multi technology engagements, from FWA rollout automation to AI driven fiber network analytics. Track timelines, budgets, risk mitigation plans, and outcomes using Agile or hybrid methodologies, ensuring high impact delivery aligned with customer goals.
 </li>
 <li>
 Drive adoption of autonomous workflows and AI based decisioning across planning, optimization, provisioning, and fault management. Customer Relationship and Stakeholder Management Act as the primary interface with customers for sales aligned project delivery, status updates, and solution expansion discussions.
 </li>
 <li>
 Conduct technical deep dives, workshops, and strategy sessions with telecom operators and enterprise clients.
 </li>
 <li>
 Foster long term client relationships by consistently demonstrating value through network intelligence, automation, and performance improvement. Innovation and Ecosystem Leadership Champion the use of generative AI, prompting, and large language models (LLMs)for automation and proactive network management.
 </li>
 <li>
 Collaborate with internal RandD, product management, and operations teams to evolve the service portfolio across wireless, wireline, and converged network domains. Influence the design and adoption of self-optimizing networks (SON), FWA performance platforms, and fiber diagnostics using AI.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Qualifications Bachelor/Master degree in Telecommunications, Computer Science,
 
 Data Science,or related fields.
 </li>
 <li>
 12 plus years of experience in telecom network services with 5 plus years in AI/automation leadership roles. Strong understanding of 4G/5G, FWA, and wireline network technologies (e.g. fiber broadband, GPON, DOCSIS, xDSL).
 </li>
 <li>
 Expertise in AI/ML (supervised/unsupervised learning), prompt engineering, automation scripting (Python, SQL), and analytics tools (Tableau, Power BI). PMP, Agile, or relevant delivery certifications preferred. Key Skills AI/ML in Network Optimization Prompt Engineering and LLM Integration Autonomous Wireless/Wireline Network Architectures Fixed Wireless Access (FWA) Deployment and Analytics RF and Fiber Network Planning and Performance Customer Engagement and Technical Presales Automation Frameworks and Closed Loop Operations Program Management and Cross Functional Leadership
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Tata Communications

<div>
 
 About The Company
 
 
 
 Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications
 
 
 
 Position Summary
 
 
 
 We are seeking a highly motivated and experienced
 
 Process Consultant
 
 to drive efficiency and effectiveness across our IT organization&rsquo;s core business processes. This pivotal role requires a unique blend of process design expertise, rigorous business analysis, data analytics capabilities and experience on CRM tools. The successful candidate will be responsible for identifying critical process gaps, designing optimized future states, and measuring the quantifiable impact of those improvements to ensure maximum return on investment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Process Design and Optimization (The Core Function)
 </li>
 <li>
 Process Gap Analysis: Conduct deep-dive assessments using techniques like Value Stream Mapping (VSM) to analyze current state (As-Is) processes, identify bottlenecks, inefficiencies, and non-value-add steps.
 </li>
 <li>
 Future State Design: Design and document optimized target state (To-Be) processes utilizing industry standards and best practices.
 </li>
 <li>
 Solution Implementation: Collaborate with IT Development teams to translate optimized process flows into technical requirements for system implementation (e.g., in platforms like Salesforce, ServiceNow, etc.).
 </li>
 <li>
 CRM Focus: Lead optimization efforts across key CRM processes, including Lead-to-Cash, Sales Cloud, Service Cloud, and Marketing Automation workflows.
 </li>
 <li>
 Change Management: Lead workshops and training sessions to secure organizational buy-in and facilitate the adoption of new processes and tools.
 </li>
 <li>
 Business &amp; Data Analysis (Analytical Expertise)
 </li>
 <li>
 Requirements Elicitation: Function as a Senior Business Analyst, conducting stakeholder interviews, facilitating requirements gathering sessions, and translating complex business needs into clear, actionable functional specifications.
 </li>
 <li>
 Data Measurement &amp; Baselining: Establish baseline metrics and Key Performance Indicators (KPIs) for current processes, utilizing data extraction and analysis tools to quantify current state performance (e.g., cycle time, error rates, throughput).
 </li>
 <li>
 Impact Quantification: Develop and execute post-implementation measurement plans, providing data-driven reports on the realized business value and Return on Investment (ROI) of optimized processes to executive leadership.
 </li>
 <li>
 Stakeholder Engagement &amp; Leadership
 </li>
 <li>
 Act as the primary subject matter expert (SME) on process efficiency, advising senior management on strategic process improvements.
 </li>
 <li>
 Manage a pipeline of process improvement initiatives, prioritizing work based on strategic alignment and potential business impact.
 </li>
 <li>
 Document comprehensive Standard Operating Procedures (SOPs) and training materials for new processes.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Experience: Minimum of 7+ years of progressive experience in process design, business analysis, management consulting, or process improvement roles within an IT or Technology organization.
 </li>
 <li>
 Process Methodology: Proven proficiency and practical experience with industry methodologies such as Lean, Six Sigma, or Business Process Management (BPM).
 </li>
 <li>
 Analytical Skills: Demonstrated ability to analyze large datasets, identify trends, measure performance against KPIs, and present clear, data-driven conclusions.
 </li>
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 CRM Expertise: Deep practical experience and functional knowledge of Salesforce Sales Cloud and/or Service Cloud and related business processes (Lead-to-Cash lifecycle).
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 Technical Proficiency: Advanced proficiency in process mapping tools (e.g., Visio, Lucidchart, Miro) and strong hands-on experience with data analysis and reporting tools (e.g., Excel, SQL, Power BI, or Tableau).
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 Communication: Exceptional written and verbal communication skills, with a demonstrated ability to present complex technical concepts to non-technical executive audiences.
 
 
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 Preferred Qualifications
 
 
 
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 Certification: Certified Lean Six Sigma Green Belt or Black Belt, CBAP (Certified Business Analysis Professional), or PMP (Project Management Professional) certification.
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 Platform Knowledge: Direct experience working on process improvements related to large enterprise platforms (e.g., Salesforce, ServiceNow, SAP, Oracle).
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 Experience operating within an Agile or DevOps environment.
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 </ul>
</div>

Manager - Global Sales Enablement

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