10 Cluster Analysis Jobs

As a Principal Machine Learning Engineer at our company, you will be responsible for conducting research and introducing innovations to develop cutting-edge solutions in core functional areas including NLP, Speech Analysis (including Indian languages), Image Processing, Price Estimator, Digital Marketing, Customer Relationship Management (CRM), Campaign Management, and Data Insights. Your role will involve providing technical thought leadership, coaching, and mentorship in the field of data science while collaborating with engineering and cross-functional teams. Furthermore, you will play a key role in evolving the application of machine learning/deep learning to existing program and project disciplines. You will be instrumental in establishing standards in machine learning and statistical analysis to ensure consistency in quality across projects and teams, as well as identifying process efficiencies. Leading the technical solution design of various AI/ML-based projects and driving execution to deliver reliable, scalable, and maintainable solutions will also be part of your responsibilities. To be successful in this role, you should possess a graduation/post-graduation degree in Computer Science/Mathematics/Statistics (preference for IITs, IIITs, NITs, and other Tier-I colleges). Additionally, you must have hands-on experience with ML frameworks such as scikit-learn, NLTK, NumPy, Pandas, Keras, TensorFlow, Theano, and other cognitive tools. A minimum of 7 years of experience in AI, ML, NLP, Deep Learning, Image Processing, Computer Vision, and Neural Networks is required, along with at least 2 years of experience in mentoring and managing ML projects and teams. Proficiency in Deep Learning Architectures like CNN, RNN, LSTM, Decision Trees, Random Forests, Gradient Boosting, XGBoost, and coding skills in Python are mandatory for this role. You should also be adept at regression, classification, and cluster analysis techniques, have experience with large datasets and distributed computing (Hive/Hadoop/Spark), possess excellent communication skills, and be comfortable with statistical methods and procedures. Moreover, your ability to take research risks, solve complex problems independently, build a strong Data Science organization, and foster a high-performance team culture will be crucial to your success in this position. If you are passionate about driving innovation in machine learning and data science, we encourage you to apply and be part of our dynamic team.,

The position of S&C Global Network - AI - T&O - Human Capital Analytics Analyst located in Kolkata, KDC1A falls under Management Level 11. The primary skill required for this role is Human Capital Analytics, with additional skills in leveraging design thinking, business process optimization, and stakeholder management being beneficial. As a Human Capital Analytics Analyst, you will be responsible for driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. Joining the Data & AI practice at S&C GN, you will collaborate with a global network of skilled professionals experienced in leading statistical tools and applications. Your responsibilities will include developing advanced statistical models for HR Analytics solutions, utilizing Python programming for efficient model creation, and leveraging ML and Data Science skills like Deep learning, TensorFlow, and Time Series Forecasting. Furthermore, you will be expected to architect scalable dashboards, communicate analytical insights effectively, and maintain strong client relationships. Your role will also involve collaborating with diverse teams, adapting within an agile environment, and utilizing mathematical concepts and industry knowledge to resolve complex issues creatively. The ideal candidate for this position should hold a Master's degree in Economics, Statistics, Mathematics, or Engineering, with at least 5+ years of experience in the Analytics domain and 2-3 years in People/Human analytics. Strong problem-solving skills, communication abilities, and leadership experience are essential, along with knowledge of predictive analytics, machine learning, or statistical modeling. Additional skills in PySpark/PyTorch framework, Data Governance, Cloud Integrations, and Change Management are appreciated. Experience with HTML 5/js, Optimization Theory, and People Analytics Consulting is considered a bonus. This role offers an opportunity to work on innovative projects, with potential for career growth and leadership exposure within Accenture.,

As a Data Scientist at our company, you will play a crucial role in understanding and solving business problems by utilizing your expertise in data science. Your responsibilities will include engaging with customer stakeholders to grasp business challenges, determining suitable data science methodologies, and identifying necessary data sources for project implementation. You will be tasked with conducting thorough Data Quality (DQ) checks, documenting issues, and communicating effectively with customers regarding data-related barriers. Your role will involve generating hypotheses, performing exploratory analyses, and presenting findings to clients in a compelling manner that highlights the business value. Utilizing a variety of learning algorithms, you will drive analytical modeling initiatives, assess model outputs objectively, and ensure the deployment of impactful analytical models into production. Additionally, you will be responsible for selecting appropriate data technologies, leading data pipelining efforts, and orchestrating data and machine learning solutions using cloud services. Your contributions will extend to promoting continuous integration and continuous deployment (CI/CD) practices in model deployment, ensuring effective customer communication, maintaining coding standards, and fostering a culture of best practices within the team. Moreover, you will lead by example in documenting project details via tools like Confluence and JIRA, as well as authoring technical blogs to showcase the team's achievements internally and externally. To excel in this role, you should hold a BS/MS degree in Computer Science, Math, Physics, Engineering, Statistics, or a related quantitative field. Your proficiency in regression, classification, and cluster analysis, along with a strong grasp of statistical concepts, will be vital. Expertise in Python, R, and SQL programming languages, coupled with experience in data visualization tools and libraries, will further enhance your capabilities as a Data Scientist. Your personal attributes, including strong communication skills, teamwork, self-motivation, and process orientation, will be key in driving projects to successful completion with minimal supervision. While previous experience with machine learning algorithms, cloud platforms, and distributed computing is advantageous, a passion for leveraging data to derive actionable insights is essential for this role. Desirable qualifications such as an M.S. degree, expertise in deploying models on cloud platforms, and knowledge of NoSQL databases and deep learning technologies will be beneficial. Your ability to articulate complex concepts, work effectively within a team, and prioritize tasks efficiently will contribute to your success in this dynamic and challenging position.,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist to join our dynamic team. As a Business Analyst - Data Scientist at Genpact, you will play a pivotal role in the development and implementation of NLP (Natural Language Processing) models and algorithms, extracting actionable insights from textual data, and collaborating with cross-functional teams to deliver innovative AI solutions. **Responsibilities:** **Model Development:** - Proficiency in various statistical, machine learning, and ensemble algorithms. - Strong understanding of time series algorithms and forecasting use cases. - Ability to discern the strengths and weaknesses of different models and select appropriate ones for specific problems. - Proficiency in evaluating metrics and recommending suitable evaluation metrics for different problem types. **Data Analysis:** - Extracting meaningful insights from structured data. - Preprocessing data for machine learning/artificial intelligence applications. **Collaboration:** - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. **Integration and Deployment:** - Integrating machine learning models into production systems. - Implementing CI/CD pipelines for continuous integration and deployment. **Documentation and Training:** - Documenting processes, models, and results. - Providing training and support to stakeholders on NLP techniques and tools. **Qualifications we seek in you:** **Minimum Qualifications / Skills:** - Bachelor's degree in computer science, engineering, or a related field. - Proficient programming skills in Python and R. - Experience with data science frameworks such as SKLEARN and NUMPY. - Knowledge of machine learning concepts and frameworks like TensorFlow and PyTorch. - Strong problem-solving and analytical capabilities. - Excellent communication and collaboration skills. **Preferred Qualifications/Skills:** - Experience in predictive analytics and machine learning techniques. - Proficiency in Python/R or any other open-source programming language. - Building and implementing models, using algorithms, and running simulations with various tools. - Familiarity with visualization tools such as Tableau, Power BI, Qlikview, etc. - Proficiency in applied statistics skills, including distributions, statistical testing, regression, etc. - Knowledge and experience in various tools and techniques like forecasting, linear regression, logistic regression, machine learning algorithms (e.g., Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Experience with big data technologies (Hadoop, Spark). - Familiarity with cloud platforms like AWS, Azure, GCP. **Job Details:** **Title:** Business Analyst - Data Scientist **Primary Location:** India-Hyderabad **Education Level:** Bachelor's / Graduation / Equivalent **Job Posting:** Apr 1, 2025, 2:47:23 AM **Unposting Date:** May 1, 2025, 1:29:00 PM **Master Skills List:** Digital **Job Category:** Full Time,

The S&C Global Network - AI - T&O - Human Capital Analytics Analyst role based in Kolkata, KDC1A involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As part of the Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, the consultants provide analytically-informed, issue-based insights at scale to help clients improve outcomes and achieve high performance. The importance of sound analytical decision-making and the relationship of tasks to the overall project are key aspects of executing projects in the context of business performance improvement initiatives. In this pivotal role as a Data Science Consultant for an Advanced People Analytics practice, you will develop advanced statistical models to support HR Analytics offerings and solutions. Expertise in Python programming language, ML API integrations, SQL, Relational and Non-Relational Databases, and cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis are required. Proficiency in AWS/AZURE Cloud Services and architecting effective, scalable, and easy-to-understand dashboards and reporting solutions is crucial. The role also involves being a data storyteller, producing concise, story-driven reports and presentations to communicate analytic insights. Building product-ready dashboards using Power Bi and Tableau, developing new KPIs, metrics, and deriving strategic insights, as well as excellent communication skills to translate business problems into analytic problems are key responsibilities. Strong relationships with clients, managing project teams, engaging and collaborating with diverse teams, resolving complex issues creatively, and executing regular and ad-hoc reporting on key HR metrics are part of the role. The ideal candidate should have a Master's degree in Economics/Statistics/Mathematics/Engineering or related Analytics discipline from a premier institute, with over 5 years of experience in the Analytics domain and 2-3 years in people/Human analytics or a relevant domain. Strong problem-solving skills, communication skills, leadership experience, and experience with predictive analytics, machine learning, or statistical modeling are required. Knowledge of PySpark/PyTorch framework, Data Governance, Cloud Integrations, Change Management, Big Data Technologies, Html 5/js skills, and optimization theory is appreciated. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure.,

As a Market Research Analyst at ChatterPe, you will be responsible for collaborating with clients to develop tailored solutions that align with their objectives. Your role will involve creating strategies for data collection through methods like surveys, questionnaires, and opinion polls. Furthermore, you will be tasked with gathering and analyzing data on consumers, competitors, and market trends using statistical software. Your responsibilities will also include translating intricate data and insights into easily understandable formats such as tables, graphs, and written reports. It will be crucial for you to oversee all stages of the research process, ensuring the timely achievement of milestones. To excel in this role, you should possess a degree in Statistics, Marketing, Business Administration, or a related field. Previous experience in a similar position will be advantageous. Proficiency in managing both qualitative and quantitative research projects is essential. Additionally, you should have a strong background in questionnaire design, table specifications, and project management. The ideal candidate will be skilled in performing various statistical analyses like regression, conjoint, cluster, and discriminant analysis. Familiarity with consolidating data from multiple sources to craft a cohesive narrative is preferred. Proficiency in business visualization tools such as Power BI and Tableau, along with statistical packages like SPSS, SAS, or similar, is required. Excellent communication and presentation abilities are also key for this role. If you are seeking a Full Time or Part Time position as a Market Research Analyst in Gurugram, and you meet the above criteria, we encourage you to apply and be a part of our dynamic team at ChatterPe.,

You will be joining KPMG in India, a professional services firm affiliated with KPMG International Limited since its establishment in August 1993. Leveraging a global network of firms, we provide services to national and international clients across various sectors with offices in multiple cities across India. As part of the Financial Crimes specialist team, your role will involve providing solutions to BFSI clients through model validation testing for AML risk models and frameworks, sanctions screening, and transaction monitoring systems. We are seeking individuals with advanced data science and analytics skills to support our team in addressing the challenges associated with financial crime. Your responsibilities will include but are not limited to supporting functional SME teams in building data-driven Financial Crimes solutions, conducting statistical testing of screening matching algorithms and risk rating models, validating data models of AML systems, and developing AML models to detect suspicious activities and transactions. You will collaborate with cross-functional teams to analyze data for model development and validation, prepare detailed documentation and reports, and assist in feature engineering for automation of AML-related investigations. To qualify for this role, you should have a Bachelor's degree from an accredited university, at least 3 years of hands-on experience in Python with knowledge of frameworks like Java, Fast, Django, Tornado, or Flask, experience with Relational and NoSQL databases, proficiency in BI tools such as Power BI and Tableau, and an educational background in Data Science and Statistics. Additionally, expertise in machine learning algorithms, statistical analysis, and familiarity with regulatory guidelines for AML compliance are essential. Preferred qualifications include experience in AML model validation, statistical testing of risk models, and familiarity with AML technology platforms. Hands-on experience with data analytics tools like Informatica and Kafka is also desirable. If you are looking to contribute your advanced analytics skills to combat financial crime and support leading financial institutions in adhering to industry best practices, this role offers you the opportunity to work on challenging projects and develop professionally in a dynamic environment.,

You will be responsible for developing Risk Segmentation models using sophisticated statistical techniques such as CHAID, cluster analysis, and pattern recognition. These models will help in identifying credit abuse and first party fraud risks at Acquisition and Existing Customer Management stages. Additionally, you will work on establishing swap set analysis and P&L optimization using these models and have hands-on experience in Credit/Fraud Risk strategy development. Preferred knowledge of credit/fraud risk analytics is required for this role. You will collaborate closely with cross-functional teams, including business stakeholders, MRM, governance teams, and strategy implementation teams. Your responsibilities will involve implementing initiatives to ensure consistency and compliance with global credit policies. You will be expected to observe key credit abuse trends, threats, inaccuracies, and drivers of these observations. Furthermore, you will support Audit requirements from external/internal auditors and respond to queries from Independent Risk. To excel in this role, you should possess strong analytical, strategic, and project management skills. You will be required to create storyboards, presentations, and project plans for discussions with senior management and governance requirements to derive valuable insights. Proficiency in utilizing UNIX and Statistical Analysis System (SAS) for risk, financial, and data analyses, including profiling, sampling, reconciliation, and hypothesis testing is essential. Knowledge and experience in statistical procedures and financial analytic tools such as SQL, R, Python, Hadoop, Spark, SAS, and Machine Learning will be an advantage. Experience in pre/post validation of deployed strategies and models and monitoring strategy performance against established benchmarks is also expected. The ideal candidate should have a minimum of 4 years of relevant experience and hold an Advanced Degree (Masters required) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or any other highly quantitative discipline. This position falls under the Decision Management job family and the Business Analysis job family. It is a full-time opportunity at Citi, an equal opportunity and affirmative action employer. Citigroup Inc. and its subsidiaries ("Citi) welcome all qualified interested applicants to apply for career opportunities. If you are a person with a disability and require a reasonable accommodation to use Citi's search tools or apply for a career opportunity, please review Accessibility at Citi. Please refer to the "EEO is the Law" poster, the EEO is the Law Supplement, and the EEO Policy Statement for further information.,

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Business Analyst Data Scientist In this role, the person is responsible for developing and implementing NLP models and algorithms, extracting insights from textual data, and collaborating with cross-functional teams to deliver AI solutions. Responsibilities Model Development: Familiar with different statistical, ML and ensemble algorithms Proficient with Time series algorithms and forecasting usecases Understand model specific strengths and weaknesses and know-how of suitable and unsuitable models for different problems Understand evaluation metrics and recommend the correct evaluation metric for a problem type Data Analysis: Extract meaningful insights from structured data. Preprocess data for ML / AI applications Collaboration: Work closely with data scientists, engineers, and business stakeholders. Provide technical guidance and mentorship to team members. Integration and Deployment: Integrate ML models into production systems. Implement CI/CD pipelines for continuous integration and deployment. Documentation and Training: Document processes, models, and results. Provide training and support to stakeholders on NLP techniques and tools. Qualifications we seek in you! Minimum Qualifications / Skills Bachelor's degree in computer science, Engineering, or a related field. Strong programming skills in Python and R Experience with DS frameworks (SKLEARN, NUMPY). Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Preferred Qualifications/ Skills Predictive Analytics Experience inMachine Learning techniques Experience in Python/R/ Any other open-source programming language Building and implementing models, using/creating algorithms and creating/running simulations using a variety of Tools Good to have - Experience in visualization tools such as Tableau, Power BI, Qlikview etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge and experience of tools/techniques: Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation (Decision Trees, CHAID, CART), Cluster Analysis, Factor Analysis, variable screening, Machine Learning Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning etc. Experience with big data technologies (Hadoop, Spark). Knowledge of cloud platforms (AWS, Azure, GCP). Job Business Analyst Primary Location India-Hyderabad Education Level Bachelor's / Graduation / Equivalent Job Posting Apr 1, 2025, 8:47:23 AM Unposting Date May 1, 2025, 7:29:00 PM Master Skills List Digital Job Category Full Time,

Build price elasticity models, price conjoint and perceived value study to provide insights Develop advanced analytics solutions using ML and statistics to inform pricing & pack architecture decisions Contributing to the long-term pricing strategy