406 Plotly Jobs - Page 6

Summary Position Summary Job Description: Data Science Consultant At Deloitte Data Science & Machine Learning is one of the key drivers for our successful business growth. We are fully committed to delivering best class products and solution strategies. One such solution is People Prism , a family of solution s designed to solve challenges related to unique population identification, community activation and outreach, resource allocation, and policy and program efficacy . We are looking for a Data Science Consultant with 2+ years of machine-learning modeling experience . The ideal candidate will have direct, hands-on experience working with a team of data scientists to wrangle and visuali ze data , perform statistical analys e s , and buil d predictive machine - learning models using supervised, unsupervised, and semi-supervised techniques. The candidate should be a self- starter with and be capable of preparing scripts for model automation. Responsibilities: Develop models using techniques such as gradient boosting, logistic regression, multivariate analysis, k- means and DBSCAN clustering, PCA, and topic modeling powered by LLMs. Use data visualization to understand data distributions and patterns and communicate findings to project lead. Apply analytical thinking and solve multiple challenges like data imbalance, overfitting, accuracy improvement etc. to improve model performance. Conduct entity resolution and data matching on large datasets to ensure data integrity and accuracy. Work on complex datasets, apply various statistical and data mining techniques for data exploration. Use data visualization to understand data distributions and patterns and communicate findings to project lead. Write near production-ready code that is efficient and scalable over large datasets. Ensure good code documentation practices to facilitate collaboration and future development. Work closely with product managers, engineers, and other stakeholders to translate business needs into data-driven solutions. Take initiative in exploring new data science techniques and tools to continuously improve our modeling capabilities. Contribute to the growth and success of the team by being a proactive and collaborative team member. Skills & Qualifications: Required: Strong mathematical and fundamental knowledge of Statistical and Machine Learning algorithms Strong programming skills in Python ( Numpy , Pandas, Scikit, Matplotlib, Seaborn, Plotly , etc . ) and SQL for data analysis, data wrangling, and database management. Strong understanding of gradient boosting , logistic regression and other classification algorithms. Experience in explainable AI, particularly SHAP. Deep knowledge of advanced analytics , data wrangling and Machine Learning Algorithms. Strong problem-solving skills with emphasis on product development. Ability to manage multiple projects at a time. Strong communication skills with the ability to convey complex concepts clearly. Should have Bachelor’s or Master’s degree in Engineering , Computer Science , Statistics , Mathematics or other quantitative field . Self-starter with the ability to take initiative and work independently in a small team environment. Preferred: Experience working in Google Cloud Platform Experience with entity resolution and data matching techniques. Knowledge of ML model deployment in any of the cloud services is appreciated Hands-on experience with prompt engineering and other GenAI or LLM-based applications like RAG, etc. Our purpose Deloitte’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—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: 306445

Summary Position Summary Job Description: Data Science Consultant At Deloitte Data Science & Machine Learning is one of the key drivers for our successful business growth. We are fully committed to delivering best class products and solution strategies. One such solution is People Prism , a family of solution s designed to solve challenges related to unique population identification, community activation and outreach, resource allocation, and policy and program efficacy . We are looking for a Data Science Consultant with 2+ years of machine-learning modeling experience . The ideal candidate will have direct, hands-on experience working with a team of data scientists to wrangle and visuali ze data , perform statistical analys e s , and buil d predictive machine - learning models using supervised, unsupervised, and semi-supervised techniques. The candidate should be a self- starter with and be capable of preparing scripts for model automation. Responsibilities: Develop models using techniques such as gradient boosting, logistic regression, multivariate analysis, k- means and DBSCAN clustering, PCA, and topic modeling powered by LLMs. Use data visualization to understand data distributions and patterns and communicate findings to project lead. Apply analytical thinking and solve multiple challenges like data imbalance, overfitting, accuracy improvement etc. to improve model performance. Conduct entity resolution and data matching on large datasets to ensure data integrity and accuracy. Work on complex datasets, apply various statistical and data mining techniques for data exploration. Use data visualization to understand data distributions and patterns and communicate findings to project lead. Write near production-ready code that is efficient and scalable over large datasets. Ensure good code documentation practices to facilitate collaboration and future development. Work closely with product managers, engineers, and other stakeholders to translate business needs into data-driven solutions. Take initiative in exploring new data science techniques and tools to continuously improve our modeling capabilities. Contribute to the growth and success of the team by being a proactive and collaborative team member. Skills & Qualifications: Required: Strong mathematical and fundamental knowledge of Statistical and Machine Learning algorithms Strong programming skills in Python ( Numpy , Pandas, Scikit, Matplotlib, Seaborn, Plotly , etc . ) and SQL for data analysis, data wrangling, and database management. Strong understanding of gradient boosting , logistic regression and other classification algorithms. Experience in explainable AI, particularly SHAP. Deep knowledge of advanced analytics , data wrangling and Machine Learning Algorithms. Strong problem-solving skills with emphasis on product development. Ability to manage multiple projects at a time. Strong communication skills with the ability to convey complex concepts clearly. Should have Bachelor’s or Master’s degree in Engineering , Computer Science , Statistics , Mathematics or other quantitative field . Self-starter with the ability to take initiative and work independently in a small team environment. Preferred: Experience working in Google Cloud Platform Experience with entity resolution and data matching techniques. Knowledge of ML model deployment in any of the cloud services is appreciated Hands-on experience with prompt engineering and other GenAI or LLM-based applications like RAG, etc. Our purpose Deloitte’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—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: 306445

Summary Position Summary Job Description: Data Science Consultant At Deloitte Data Science & Machine Learning is one of the key drivers for our successful business growth. We are fully committed to delivering best class products and solution strategies. One such solution is People Prism , a family of solution s designed to solve challenges related to unique population identification, community activation and outreach, resource allocation, and policy and program efficacy . We are looking for a Data Science Consultant with 2+ years of machine-learning modeling experience . The ideal candidate will have direct, hands-on experience working with a team of data scientists to wrangle and visuali ze data , perform statistical analys e s , and buil d predictive machine - learning models using supervised, unsupervised, and semi-supervised techniques. The candidate should be a self- starter with and be capable of preparing scripts for model automation. Responsibilities: Develop models using techniques such as gradient boosting, logistic regression, multivariate analysis, k- means and DBSCAN clustering, PCA, and topic modeling powered by LLMs. Use data visualization to understand data distributions and patterns and communicate findings to project lead. Apply analytical thinking and solve multiple challenges like data imbalance, overfitting, accuracy improvement etc. to improve model performance. Conduct entity resolution and data matching on large datasets to ensure data integrity and accuracy. Work on complex datasets, apply various statistical and data mining techniques for data exploration. Use data visualization to understand data distributions and patterns and communicate findings to project lead. Write near production-ready code that is efficient and scalable over large datasets. Ensure good code documentation practices to facilitate collaboration and future development. Work closely with product managers, engineers, and other stakeholders to translate business needs into data-driven solutions. Take initiative in exploring new data science techniques and tools to continuously improve our modeling capabilities. Contribute to the growth and success of the team by being a proactive and collaborative team member. Skills & Qualifications: Required: Strong mathematical and fundamental knowledge of Statistical and Machine Learning algorithms Strong programming skills in Python ( Numpy , Pandas, Scikit, Matplotlib, Seaborn, Plotly , etc . ) and SQL for data analysis, data wrangling, and database management. Strong understanding of gradient boosting , logistic regression and other classification algorithms. Experience in explainable AI, particularly SHAP. Deep knowledge of advanced analytics , data wrangling and Machine Learning Algorithms. Strong problem-solving skills with emphasis on product development. Ability to manage multiple projects at a time. Strong communication skills with the ability to convey complex concepts clearly. Should have Bachelor’s or Master’s degree in Engineering , Computer Science , Statistics , Mathematics or other quantitative field . Self-starter with the ability to take initiative and work independently in a small team environment. Preferred: Experience working in Google Cloud Platform Experience with entity resolution and data matching techniques. Knowledge of ML model deployment in any of the cloud services is appreciated Hands-on experience with prompt engineering and other GenAI or LLM-based applications like RAG, etc. Our purpose Deloitte’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—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: 306445

Job Title: Data Scientist Experience: 2 to 4 Years Location: Delhi/NCR Industry: Information Technology & Services Employment Type: Full-time About the Role: We are looking for a passionate and results-driven Data Scientist to join our growing analytics and AI/ML team. The ideal candidate will bring hands-on experience in data exploration, model building, and deployment. You will work closely with cross-functional teams to deliver actionable insights and machine learning solutions that drive business value. Key Responsibilities: Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis and visualize patterns and trends. Build and validate machine learning and statistical models. Translate business problems into data science problems and solutions. Communicate findings through reports, dashboards, and visualizations. Collaborate with engineering and product teams to deploy data-driven solutions. Stay updated with the latest tools, technologies, and industry trends. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field. 2 to 4 years of industry experience in data science, machine learning, or applied statistics. Proficient in Python (NumPy, pandas, scikit-learn, matplotlib, etc.). Solid understanding of supervised and unsupervised ML algorithms. Experience with SQL and data querying from relational databases. Familiarity with tools like Jupyter, Git, and cloud platforms (AWS/Azure/GCP) is a plus. Exposure to model deployment and MLOps practices is desirable. Strong analytical thinking and problem-solving skills. Good communication and team collaboration abilities. Nice to Have: Experience with NLP, computer vision, or time-series analysis. Knowledge of Big Data tools (Spark, Hadoop). Experience with data visualization libraries (Seaborn, Plotly, Power BI, Tableau).

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Analyst, R Programmer-2 Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard’s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company’s product suites About The Role We are looking for an R programmer to join Mastercard’s Economics Institute, reporting to the team lead for Economics Technology. An individual who will: create clear, compelling data visualisations that communicate economic insights to diverse audiences develop reusable R functions and packages to support analysis and automation create and format analytical content using R Markdown and/or Quarto design and build scalable Shiny apps develop interactive visualisations using JavaScript charting libraries (e.g. Plotly, Highcharts, D3.js) or front-end frameworks (e.g. React, Angular, Vue.js)work with databases and data platforms (eg. SQL, Hadoop) write clear, well-documented code that others can understand and maintain collaborate using Git for version control All About You proficient in R and the RStudio IDE proficient in R packages like dplyr for data cleaning, transformation, and aggregation familiarity with dependency management and documentation in R (e.g. roxygen2) familiar with version control concepts and tools (e.g. Git, GitHub, Bitbucket) for collaborative development experience writing SQL and working with relational databases creative and passionate about data, coding, and technology strong collaborator who can also work independently organized and able to prioritise work across multiple projects comfortable working with engineers, product owners, data scientists, economists Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-250449

Hyderabad, India Chennai, India Job ID: R-1079380 Apply prior to the end date: September 30th, 2025 When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. At our core, we are dedicated to enriching lives by bridging the gap between individuals and premium wireless experiences that not only meet but exceed expectations in value and quality. We believe that everyone deserves access to seamless, reliable, and affordable wireless solutions that enhance their day-to-day lives, connecting them to what matters most. By joining our team, you'll play a pivotal role in this mission, working towards delivering innovative, customer-focused solutions that open up a world of possibilities. We're not just in the business of technology; we're in the business of connecting people, empowering them to explore, share, and engage with the world around them in ways they never thought possible. Building on our commitment to connect people with quality experiences that offer the best value in wireless, let's delve deeper into how we strategically position our diverse portfolio to cater to a broad spectrum of needs and preferences. Our portfolio, comprising 11 distinct brands, is meticulously organized into five families, each designed to address specific market segments and distribution channels to maximize reach and impact. Total by Verizon & Verizon Prepaid: At the forefront, we have Total by Verizon and Verizon Prepaid, our flagship brands available at Verizon exclusive and/or national/retail stores. Verizon Prepaid continues to maintain a robust and loyal consumer base, while Total by Verizon is on a rapid ascent, capturing the hearts of more customers with its compelling offerings. Straight Talk, TracFone, and Walmart Family Mobile: Straight Talk, Tracfone, and Walmart Family Mobile stand as giants in our brand portfolio, boasting significant presence in Walmart. Their extensive reach and solidified position in the market underscore our commitment to accessible, high-quality wireless solutions across diverse retail environments. Visible: Visible, as a standalone brand family, caters to the digitally-savvy, single-line customers who prefer streamlined, online-first interactions. This brand is a testament to our adaptability, embracing the digital evolution of customer engagement. Simple Mobile: Carving out a niche of its own, Simple Mobile shines as the premier choice among authorized resellers. Its consistent recognition as the most carried brand in Wave7 Research’s prepaid dealer survey for 36 consecutive quarters speaks volumes about its popularity and reliability. SafeLink: SafeLink remains dedicated to serving customers through government subsidies. With a strategic pivot towards Lifeline in the absence of ACP, SafeLink continues to fulfill its mission of providing essential communication services to those in need. Join the team that connects people with quality experiences that give them the best value in wireless. What You’ll Be Doing: Data Science: Knowledge of experimental design and testing frameworks like A/B testing, Multi-armed Bandit testing etc. to guide optimal decisions across various key base-management initiatives related to churn reduction, revenue growth and customer satisfaction. Build frame-works to enable effective measurement of experiments at scale. Research and build proof-of-concept models utilizing various machine learning techniques & traditional statistical techniques to drive optimal business decisions for various use cases like call-routing, revenue growth through initiatives like driving Walmart+ and other subscriptions. Building Financial models leveraging Survival modeling and other machine learning techniques to drive effective decisions across all base-management initiatives Developing Customer Segmentation Models and response rate models to help in effective targeting of customers across different base-management initiatives. KPI forecasting leveraging time-series forecasting techniques to guide the business on metrics like churn etc. Generating business insights by using various predictive modeling techniques. Analytics & Data Enablement: Synthesize predictive insights to concrete business actions and collaborate with teams across the value organization (Finance / Marketing / Operations / GTS / AI&D etc.) to drive successful business outcomes. Leverage understanding of customer behaviors, strategic thinking, strong financial acumen and cross-functional aptitude to build analytical solutions to make the best-informed decisions. Work on building either cloud-based predictive modeling solutions (AWS/GCP using Pyspark or similar tools) or general predictive solutions depending on the use case. Guide the build and enhancement of the Customer Data Platform with 360-degree view of customer and prospect profiles, interactions & demographics. Enable team with Analytical solutions to evaluate marketing campaign’s effectiveness and identify areas for optimization. Measure key performance indicators (KPIs) such as conversion rates, return on investment (ROI), and customer engagement metrics. Provide insights to refine targeting strategies, messaging, and channel allocation for future campaigns. What we’re looking for: You’ll need to have: Bachelor’s degree or four or more years of work experience. Six or more years of relevant work experience Predictive / Prescriptive modeling experience. Experience in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc). Experience with Microsoft Excel and PowerPoint. Experience managing large complex projects involving multiple work streams and stakeholders. Strong storytelling to drive recommendations based on the data analysis and articulate tradeoffs and communication plan to senior executives. Experience gathering, organizing and analyzing large amounts of information. Experience presenting ideas and content to a variety of stakeholders at various levels. Experience working collaboratively with a variety of stakeholders. Even better if you have any one of the following: Ability to translate complex ideas and express them in concise, simple to understand ways. Ability to take initiative, influence others and achieve results. Advanced research, analytical, and critical thinking skills with the ability to see things not readily apparent to others and to find unique solutions to complex challenges. Ability to present and interact with all levels of management. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Apply Now Save Saved Open sharing options Share Related Jobs Engineer III Consultant-Data Science Save Hyderabad, India, +1 other location Technology Senior Manager Sales Incentives and Strategy Save Basking Ridge, New Jersey, +5 other locations Sales Associate Director-AI Science Save Hyderabad, India Technology Shaping the future. Connect with the best and brightest to help innovate and operate some of the world’s largest platforms and networks.

About the Company We are looking for an experienced Python Developer with expertise in using TensorFlow/PyTorch, LangChain, OpenAI API, Elasticsearch and a deep understanding of Natural Language Processing to help us develop and optimize high-performance applications. About the Role You will be responsible for implementing, testing, and maintaining data pipelines, machine learning models, and NLP techniques to extract valuable insights from data. Responsibilities Design, develop, and maintain Python-based data analysis and machine learning applications with clean and well-documented code Develop, optimize and deploy ML models for information retrieval, LLM-based agents, embeddings (FAISS, Pinecone, Weaviate), predictive analytics, and Retrieval-Augmented Generation (RAG) Research and implement NLP algorithms for text classification, sentiment analysis, named entity recognition (NER), and topic modeling, including troubleshooting and debugging to ensure reliable performance at scale Implement data pipelines and ETL processes for big data processing Collaborate with cross-functional teams to understand business requirements and build scalable tech Qualifications Strong proficiency in Python with hands-on experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, PyTorch Expertise in information retrieval, statistical analysis, data visualization and developing LLM-based agents, embeddings (FAISS, Pinecone, Weaviate), predictive analytics, and Retrieval-Augmented Generation (RAG) Hands-on experience with Natural Language Processing (NLP) libraries such as NLTK, spaCy, Hugging Face, or similar tools Experience with data wrangling techniques, including cleaning, transforming, and merging data sets from various sources Familiarity with machine learning algorithms and frameworks (supervised, unsupervised learning, and deep learning techniques) Solid understanding of text analytics such as text pre-processing, tokenization, stemming, lemmatization, and part-of-speech tagging Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) is a plus. Knowledge of data visualization tools (Matplotlib, Seaborn, ggplot2, Plotly, etc.) Strong problem-solving skills and attention to detail with ability to work in an agile, fast-paced environment and deliver results under tight deadlines Required Skills 4 year Bachelor’s degree in Computer Science, Information Technology, Data Science, Statistics or related domains, or equivalent qualification 4+ years in developing scalable ML models, NLP models and systems from 0 to 1 and deploying them to production Strong knowledge of RESTful APIs and GraphQL for frontend-backend communication Familiarity with version control using Git, CI/CD tools, and deployment pipelines Knowledge of big data tools and platforms (Spark, Hadoop, etc.) and experience with managing databases

As a Python Developer specializing in AI and ML, you will play a crucial role in our team located in Guindy, Chennai. Your primary responsibility will be to create Python-based AI/ML models, establish scalable pipelines, and implement intelligent systems to tackle intricate real-world challenges. Your duties will include designing and executing AI/ML models in Python utilizing libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Additionally, you will fine-tune pre-trained models, write well-documented Python code, and handle large datasets efficiently using tools like Pandas, NumPy, and PySpark. Furthermore, you will be tasked with developing data pipelines, building Python-based APIs for model integration, deploying models with tools like Docker, and optimizing model efficiency using Python techniques. It is essential to stay updated on Python advancements and collaborate with various stakeholders to deliver Python-driven solutions effectively. To be successful in this role, you should hold a degree in Computer Science or related fields, demonstrate expertise in Python programming, possess knowledge of AI/ML frameworks, and exhibit familiarity with data analysis and visualization libraries. Proficiency in version control tools, deploying ML models, and strong problem-solving skills are also essential. Preferred qualifications include proficiency in Python-based Big Data tools, experience with NLP frameworks, and familiarity with MLOps tools. By joining our team, you will have the opportunity to work on impactful AI/ML projects, grow in a collaborative environment, and lead with Python in cutting-edge technologies. If you are passionate about leveraging Python for AI/ML projects, eager to collaborate with a dynamic team, and excited about shaping the future of AI, we look forward to welcoming you on board. To apply, kindly submit your resume and examples of Python-based AI/ML projects to hr@whitemastery.com. This is a full-time, permanent position with a day shift schedule, and the expected start date is 15/04/2025.,

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. At our core, we are dedicated to enriching lives by bridging the gap between individuals and premium wireless experiences that not only meet but exceed expectations in value and quality. We believe that everyone deserves access to seamless, reliable, and affordable wireless solutions that enhance their day-to-day lives, connecting them to what matters most. By joining our team, you'll play a pivotal role in this mission, working towards delivering innovative, customer-focused solutions that open up a world of possibilities. We're not just in the business of technology; we're in the business of connecting people, empowering them to explore, share, and engage with the world around them in ways they never thought possible. Building on our commitment to connect people with quality experiences that offer the best value in wireless, let's delve deeper into how we strategically position our diverse portfolio to cater to a broad spectrum of needs and preferences. Our portfolio, comprising 11 distinct brands, is meticulously organized into five families, each designed to address specific market segments and distribution channels to maximize reach and impact. Total by Verizon & Verizon Prepaid: At the forefront, we have Total by Verizon and Verizon Prepaid, our flagship brands available at Verizon exclusive and/or national/retail stores. Verizon Prepaid continues to maintain a robust and loyal consumer base, while Total by Verizon is on a rapid ascent, capturing the hearts of more customers with its compelling offerings. Straight Talk, TracFone, and Walmart Family Mobile: Straight Talk, Tracfone, and Walmart Family Mobile stand as giants in our brand portfolio, boasting significant presence in Walmart. Their extensive reach and solidified position in the market underscore our commitment to accessible, high-quality wireless solutions across diverse retail environments. Visible: Visible, as a standalone brand family, caters to the digitally-savvy, single-line customers who prefer streamlined, online-first interactions. This brand is a testament to our adaptability, embracing the digital evolution of customer engagement. Simple Mobile: Carving out a niche of its own, Simple Mobile shines as the premier choice among authorized resellers. Its consistent recognition as the most carried brand in Wave7 Research’s prepaid dealer survey for 36 consecutive quarters speaks volumes about its popularity and reliability. SafeLink: SafeLink remains dedicated to serving customers through government subsidies. With a strategic pivot towards Lifeline in the absence of ACP, SafeLink continues to fulfill its mission of providing essential communication services to those in need. Join the team that connects people with quality experiences that give them the best value in wireless. Data Science What You’ll Be Doing: Knowledge of experimental design and testing frameworks like A/B testing, Multi-armed Bandit testing etc. to guide optimal decisions across various key base-management initiatives related to churn reduction, revenue growth and customer satisfaction. Build frame-works to enable effective measurement of experiments at scale. Research and build proof-of-concept models utilizing various machine learning techniques & traditional statistical techniques to drive optimal business decisions for various use cases like call-routing, revenue growth through initiatives like driving Walmart+ and other subscriptions. Building Financial models leveraging Survival modeling and other machine learning techniques to drive effective decisions across all base-management initiatives Developing Customer Segmentation Models and response rate models to help in effective targeting of customers across different base-management initiatives. KPI forecasting leveraging time-series forecasting techniques to guide the business on metrics like churn etc. Generating business insights by using various predictive modeling techniques. Analytics & Data Enablement Synthesize predictive insights to concrete business actions and collaborate with teams across the value organization (Finance / Marketing / Operations / GTS / AI&D etc.) to drive successful business outcomes. Leverage understanding of customer behaviors, strategic thinking, strong financial acumen and cross-functional aptitude to build analytical solutions to make the best-informed decisions. Work on building either cloud-based predictive modeling solutions (AWS/GCP using Pyspark or similar tools) or general predictive solutions depending on the use case. Guide the build and enhancement of the Customer Data Platform with 360-degree view of customer and prospect profiles, interactions & demographics. Enable team with Analytical solutions to evaluate marketing campaign’s effectiveness and identify areas for optimization. Measure key performance indicators (KPIs) such as conversion rates, return on investment (ROI), and customer engagement metrics. Provide insights to refine targeting strategies, messaging, and channel allocation for future campaigns. What We’re Looking For You’ll need to have: Bachelor’s degree or four or more years of work experience. Six or more years of relevant work experience Predictive / Prescriptive modeling experience. Experience in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc). Experience with Microsoft Excel and PowerPoint. Experience managing large complex projects involving multiple work streams and stakeholders. Strong storytelling to drive recommendations based on the data analysis and articulate tradeoffs and communication plan to senior executives. Experience gathering, organizing and analyzing large amounts of information. Experience presenting ideas and content to a variety of stakeholders at various levels. Experience working collaboratively with a variety of stakeholders. Even better if you have any one of the following: Ability to translate complex ideas and express them in concise, simple to understand ways. Ability to take initiative, influence others and achieve results. Advanced research, analytical, and critical thinking skills with the ability to see things not readily apparent to others and to find unique solutions to complex challenges. Ability to present and interact with all levels of management. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Relocation Assistance Offered Within Country Job Number #167665 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief Introduction - Role Summary/Purpose The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment., 15 years full time education

DataLEADS is a strong and growing team that is driven by passion, creativity and collaboration. We value individuals with unique interests, experiences and who think differently. We’re committed to equal opportunities and creating an inclusive environment for all our team members. POSITION: ANALYST (DATA & ML) About the role: DataLEADS is seeking a highly motivated Data Analyst to join our dynamic, cross-functional team working at the intersection of media, technology, and public good. You’ll be responsible for managing data pipelines, building internal tools and dashboards, and supporting the deployment of AI/ML-powered workflows — especially for public health, digital media, and development-focused use cases. This role is ideal for someone with a strong technical foundation (Python, SQL, scripting) and an interest in automation, generative AI , and data-for-impact storytelling. Nature of Role Full time, from our office location in New Delhi Joining Immediate Requirements: Bachelor’s degree in Computer Science, Statistics, Engineering, Mathematics, or related technical field. Proficiency in Python, especially with libraries like pandas and requests; basic visualization using matplotlib or plotly Good command of SQL, including joins and common table expressions; familiarity with BigQuery or similar databases Basic JavaScript or Google Apps Script skills to support workflow automation Strong skills in Google Sheets or Excel (pivot tables, array formulas, basic macros) Exposure to using APIs (e.g., OpenAI, Claude) for prototyping or automation tasks Demonstrated interest in learning emerging tools in AI, automation, and data analysis Nice-to-Have Skills: Familiarity with tools like LangChain, Chroma, or vector search systems Basic experience building simple dashboards using Streamlit or Flask Exposure to data scraping or data collection using Python Understanding of or interest in working with data in areas like public health, misinformation, or digital media Key Responsibilities: Clean, transform, and enrich datasets using SQL and Google Sheets; maintain data views and internal dashboards Build and maintain automations using Google Apps Script, Zapier, and other no-code/low-code tools Write Python and JavaScript utilities to automate recurring tasks and retrieve external data Assist in prototyping AI/LLM-powered tools for tasks like annotation, summarization, and reporting — with support and supervision Create basic visualizations using Plotly or Matplotlib for internal and external stakeholders Document workflows, assumptions, and data logic clearly for team knowledge sharing What We Offer: At DataLEADS, you’ll have the opportunity to work on high-impact, real-world challenges , collaborate with an interdisciplinary team of technologists, journalists, and researchers, and gain hands-on exposure to cutting-edge tech interventions and frameworks . We offer a learning-focused, inclusive environment that encourages experimentation and growth. How to Apply: Send your CV, cover letter and links to portfolio (if available) to jobs@dataleads.co.in with the subject line: “Application: Data Analyst – [Your Name]” About DataLEADS: DataLEADS is a globally recognised digital media and tech company aimed to help people understand and engage with the world around them. We work on the complexity of a dynamic and evolving information ecosystem. Our work includes data intelligence, fact-checking initiatives, media and information literacy interventions, curriculum development, designing public policy interventions, media research, social listening and digital transformation. At the core of our work lies a profound belief that authentic information is central to human empowerment.

Job Description We are seeking a talented Python and SQL Developer with 2 - 3 years of experience to join our team. As a Python and SQL Developer, you will be responsible for designing, developing, and maintaining data-driven applications and solutions. You will work closely with cross-functional teams to deliver high-quality software products that meet the clients needs. Responsibilities Design, develop, and maintain Python-based applications that interact with SQL databases. Write efficient and optimized SQL queries, stored procedures, and functions to retrieve, manipulate, and analyze data. Design and implement scalable solutions leveraging cloud technologies Perform data validation, cleansing, and transformation to ensure data integrity and accuracy. Understanding of the threading limitations of Python, and multi-process architecture Work with version control systems such as Git for code management and collaboration. Conduct code reviews, testing, debugging, and troubleshooting to ensure the reliability and performance of applications. Develop data visualization tools and reports to present insights and findings to stakeholders. Requirements Bachelor's degree in Computer Science, Engineering, or a related field. Hands-on experience in Python development and SQL database management. Proficiency in writing complex SQL queries, including joins, subqueries, and aggregations. Strong understanding of Python programming concepts, data structures, and algorithms. Experience with Python frameworks such as Django, Flask etc . Familiarity with database systems such as PostgreSQL, MySQL, or SQL Server. Knowledge of data visualization tools and libraries such as Matplotlib, Plotly etc. Excellent problem-solving, analytical, and communication skills. Ability to work effectively in a collaborative team environment. Collaboration with data engineers and analysts to design and implement data models and ETL processes is a plus. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.

About Us Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who You Will Work With The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc. You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis The AS is expected to have a knack for seeking out challenging problems and coming up with their own ideas, which they will be encouraged to brainstorm with their peers and managers. They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code. What You’ll Do Collaborate with data scientists working with Python, LLMs, NLP, and Generative AI to design, fine-tune, and deploy intelligent agents and chains-based applications. Develop and maintain front-end interfaces for AI and data science applications using React.js / Angular / Nextjs and/or Streamlit/ DASH, enhancing user interaction with complex machine learning and NLP-driven systems. Build and integrate Python-based machine learning models with backend systems via RESTful APIs using frameworks like FastAPI / Flask or Django. Translate complex business problems into scalable technical solutions, integrating AI capabilities with robust backend and frontend systems. Assist in the design and implementation of scalable data pipelines and ETL workflows using DBT, PySpark, and SQL, supporting both analytics and generative AI solutions. Leverage containerization tools like Docker and utilize Git for version control, ensuring code modularity, maintainability, and collaborative development. Deploy ML-powered and data-driven applications on cloud platforms such as AWS or Azure, optimizing for performance, scalability, and cost-efficiency. Contribute to internal AI/ML Ops platforms and tools, streamlining model deployment, monitoring, and lifecycle management. Create dashboards, visualizations, and presentations using tools like Tableau/ PowerBI, Plotly, and Seaborn to drive business insights. Proficient with Excel, and PowerPoint by showing proficiency in business communication through stakeholder interactions. About You A Master’s degree or higher in Computer Science, Data Science, Engineering, or related fields OR Bachelor's candidates with relevant industry experience will also be considered. Proven experience (2 years for Master’s; 3+ years for Bachelor’s) in AI/ML, software development, and data engineering. Solid understanding of LLMs, NLP, Generative AI, chains, agents, and model fine-tuning methodologies. Proficiency in Python, with experience using libraries such as Pandas, Numpy, Plotly, and Seaborn for data manipulation and visualization. Experience working with modern Python frameworks such as FastAPI for backend API development. Frontend development skills using HTML, CSS, JavaScript/TypeScript, and modern frameworks like React.js; Streamlit knowledge is a plus. Strong grasp of data engineering concepts – including ETL pipelines, batch processing using DBT and PySpark, and working with relational databases like PostgreSQL, Snowflake etc. Good working knowledge of cloud infrastructure (AWS and/or Azure) and deployment best practices. Familiarity with MLOps/AI Ops tools and workflows including CI/CD pipelines, monitoring, and container orchestration (with Docker and Kubernetes). Good-to-have: Experience in BI tools such as Tableau or PowerBI, Good-to-have: Prior exposure to consulting projects or CP (Consumer Products) business domain. What Makes Us a Great Place To Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

About us Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc. You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis The AS is expected to have a knack for seeking out challenging problems and coming up with their own ideas, which they will be encouraged to brainstorm with their peers and managers. They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code. What you’ll do Collaborate with data scientists working with Python, LLMs, NLP, and Generative AI to design, fine-tune, and deploy intelligent agents and chains-based applications. Develop and maintain front-end interfaces for AI and data science applications using React.js / Angular / Nextjs and/or Streamlit/ DASH, enhancing user interaction with complex machine learning and NLP-driven systems. Build and integrate Python-based machine learning models with backend systems via RESTful APIs using frameworks like FastAPI / Flask or Django. Translate complex business problems into scalable technical solutions, integrating AI capabilities with robust backend and frontend systems. Assist in the design and implementation of scalable data pipelines and ETL workflows using DBT, PySpark, and SQL, supporting both analytics and generative AI solutions. Leverage containerization tools like Docker and utilize Git for version control, ensuring code modularity, maintainability, and collaborative development. Deploy ML-powered and data-driven applications on cloud platforms such as AWS or Azure, optimizing for performance, scalability, and cost-efficiency. Contribute to internal AI/ML Ops platforms and tools, streamlining model deployment, monitoring, and lifecycle management. Create dashboards, visualizations, and presentations using tools like Tableau/ PowerBI, Plotly, and Seaborn to drive business insights. Proficient with Excel, and PowerPoint by showing proficiency in business communication through stakeholder interactions. About you A Master’s degree or higher in Computer Science, Data Science, Engineering, or related fields OR Bachelor's candidates with relevant industry experience will also be considered. Proven experience (2 years for Master’s; 3+ years for Bachelor’s) in AI/ML, software development, and data engineering. Solid understanding of LLMs, NLP, Generative AI, chains, agents, and model fine-tuning methodologies. Proficiency in Python, with experience using libraries such as Pandas, Numpy, Plotly, and Seaborn for data manipulation and visualization. Experience working with modern Python frameworks such as FastAPI for backend API development. Frontend development skills using HTML, CSS, JavaScript/TypeScript, and modern frameworks like React.js; Streamlit knowledge is a plus. Strong grasp of data engineering concepts – including ETL pipelines, batch processing using DBT and PySpark, and working with relational databases like PostgreSQL, Snowflake etc. Good working knowledge of cloud infrastructure (AWS and/or Azure) and deployment best practices. Familiarity with MLOps/AI Ops tools and workflows including CI/CD pipelines, monitoring, and container orchestration (with Docker and Kubernetes). Good-to-have: Experience in BI tools such as Tableau or PowerBI, Good-to-have: Prior exposure to consulting projects or CP (Consumer Products) business domain. What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Role & responsibilities Collaborate with stakeholders to clarify problem statements, narrow down the analysis scope, and use findings to improve product outcomes. Create replicable data analyses using open-source technologies, summarize findings effectively, and communicate assumptions clearly. Build data pipelines to transition ad-hoc analyses into production-ready dashboards for fellow engineers' use. Develop, deploy, and maintain metrics, applications, and tools to empower engineers to access and utilize data insights independently. Write well-structured and thoroughly tested code, ensuring maintainability and scalability for future enhancements. Stay updated on relevant technologies and propose new ones for team adoption.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. 15 years full time education

Requisition ID: 7580 Bangalore, India Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries. We are building teams that are designing, developing, and manufacturing next-generation energy technologies and our work environment is fast-paced, fun and full of exciting new projects. If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase! About the role The Quality Analyst will be responsible for monitoring field upgrades, analysing and interpreting product quality data through the entire product lifecycle. Provides essential leadership and support for the data management activities of the Release Management Team. Collaborates with Engineering/Quality/CS teams and Information Technology. What you will do Understand Enphase products and factory releases to develop and maintain end-to-end field update data and visualization models. Accountable for automation of end-to-end field upgrades, automation and presenting the field upgrade metrics to various key stakeholders. Collaborate with cross-functional teams to learn about key software releases, compatible hardware, gaps and come up with data models. Guide the team for successful field upgrades. Monitor field upgrades, using data mining techniques and analytics tools such as SQL, excel, Power BI and automate the same as needed to identify issues and alert to teams if any issues as result of upgrades. Responsible for debugging any of the field upgrade issues and doing a replan and schedule with zero or minimal impact to the Enphase customers. Understand current field upgrade process and automate generation and monitor metrics related to deployment for monitoring and analysis (pre-post upgrade) using Python or any other scripting language. Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive product/process improvements. Troubleshooting field upgrade issues and escalate to Engineering/Quality/CS teams and drive corrective actions by modifying data models, implementing data validation and quality control measures. Responsible for the architecture and design of data platforms & visualization models by envisioning and executing strategies that will enable and leverage modern data science capabilities Who you are and what you bring Bachelor's degree in quantitative fields such as Computer science, Electrical Engineering, Electronics and Communication Engineering or a related discipline with good knowledge of Data science. 7 to 10years experience, proven experience as a Data Analyst or similar role, preferably in the energy or solar industry Strong proficiency in Python programming for data analysis, including libraries such as Pandas, NumPy, Scikit-learn, Plotly, Seaborn or matplotlib Solid understanding of statistical concepts and experience with statistical analysis tools Experience with data warehousing concepts and proficiency in SQL for data extraction and manipulation Proficient in data visualization tools such as Excel, Incorta, Tableau, Power BI Excellent analytical, critical thinking and problem-solving skills, with the ability to translate complex data into actionable insights Strong attention to detail and a commitment to delivering high-quality work within tight deadlines Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders

Requisition ID: 8103 Bangalore, India Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries. If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase! About the role At Enphase - Staff Data Analyst, your work won't just sit in a dashboard — it will drive decisions at the highest levels. You'll have the opportunity to present insights directly to the CEO, VPs, and senior leadership, influencing strategy and shaping the future of our products and operations. This is a high-impact role for those who don’t just crunch numbers — they connect the dots, tell compelling stories with data, and turn insights into action. If you're looking to work on meaningful problems, move fast, and be seen — this is where you belong. The Staff Data Analyst will be responsible for analyzing and interpreting product quality data through the entire product lifecycle. Provides essential support for the data management activities of the Quality organization. Collaborates with Engineering /CS teams and Information Technology. What you will do Function as a resource to departments and process improvement teams in the areas of quality data management Work with stakeholders throughout the Quality organization to identify opportunities for leveraging company data to drive product/process improvements Work with cross functional teams to understand their needs and run query to support their analyses Develop deep knowledge of the dataset and able to drill down and wide Run SQL/R/Python queries on various databases to identify patterns and diagnose problems Identify opportunities for automation, monitoring and visualization using automated tools Who you are and what you bring BE/B.Tech degree or higher in Engineering, or Computer Science 8+ year's experience in data science required Expertise in programming/query languages such as Python (Matplotlib, Plotly libraries)/R/SQL Design, develop and implement data-driven strategies and machine learning models Able to understand various data structures and common methods in data transformation Expertise in delivering analysis results using custom made visualizations Ability to interpret and summarize presentations for executives Strong verbal and written communication skills required

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Sr. Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 3-4 years of experience in a similar role. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Skills: Proficiency in R (tidyverse, LME4/lmerTest, plotly/ggplot2), or Python, for data manipulation and modelling and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to handle & analyze marketing data and perform statistical tests. Experience with data visualization tools such as Tableau, PowerPoint, Excel. Strong storytelling skills and the ability to generate insights & recommendations. Responsibilities: Understand business requirements and suggest appropriate marketing measurement solutions (Media Mix Modelling, Multi-Touch Attribution, etc.) Conduct panel data analysis using fixed effects, random effects, and mixed effects models. Perform econometric modelling, including model evaluation, model selection, and results interpretation. Understand, execute, and evaluate the data science modelling flow. Understand marketing, its objectives, and effectiveness measures such as ROI/ROAS. Familiarity with marketing channels, performance metrics, and conversion funnel. Experience with media mix modelling, ad-stock effect, saturation effect, multi-touch attribution, rule-based attribution, and media mix optimization. Knowledge of Bayes’ theorem, Shapley value, Markov chain, response curve, marginal ROI, halo effect, and cannibalization. Experience handling marketing data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Sr. Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 3-4 years of experience in a similar role. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Skills: Proficiency in R (tidyverse, LME4/lmerTest, plotly/ggplot2), or Python, for data manipulation and modelling and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to handle & analyze marketing data and perform statistical tests. Experience with data visualization tools such as Tableau, PowerPoint, Excel. Strong storytelling skills and the ability to generate insights & recommendations. Responsibilities: Understand business requirements and suggest appropriate marketing measurement solutions (Media Mix Modelling, Multi-Touch Attribution, etc.) Conduct panel data analysis using fixed effects, random effects, and mixed effects models. Perform econometric modelling, including model evaluation, model selection, and results interpretation. Understand, execute, and evaluate the data science modelling flow. Understand marketing, its objectives, and effectiveness measures such as ROI/ROAS. Familiarity with marketing channels, performance metrics, and conversion funnel. Experience with media mix modelling, ad-stock effect, saturation effect, multi-touch attribution, rule-based attribution, and media mix optimization. Knowledge of Bayes’ theorem, Shapley value, Markov chain, response curve, marginal ROI, halo effect, and cannibalization. Experience handling marketing data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Sr. Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 3-4 years of experience in a similar role. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Skills: Proficiency in R (tidyverse, LME4/lmerTest, plotly/ggplot2), or Python, for data manipulation and modelling and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to handle & analyze marketing data and perform statistical tests. Experience with data visualization tools such as Tableau, PowerPoint, Excel. Strong storytelling skills and the ability to generate insights & recommendations. Responsibilities: Understand business requirements and suggest appropriate marketing measurement solutions (Media Mix Modelling, Multi-Touch Attribution, etc.) Conduct panel data analysis using fixed effects, random effects, and mixed effects models. Perform econometric modelling, including model evaluation, model selection, and results interpretation. Understand, execute, and evaluate the data science modelling flow. Understand marketing, its objectives, and effectiveness measures such as ROI/ROAS. Familiarity with marketing channels, performance metrics, and conversion funnel. Experience with media mix modelling, ad-stock effect, saturation effect, multi-touch attribution, rule-based attribution, and media mix optimization. Knowledge of Bayes’ theorem, Shapley value, Markov chain, response curve, marginal ROI, halo effect, and cannibalization. Experience handling marketing data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent