459 R Jobs in Haryana

As a Data Visualization Architect at EY, you will play a crucial role in creating compelling data visualizations and dashboards that effectively communicate data insights and trends. Your responsibilities will include: - Collaborating with stakeholders, such as data engineers and analysts, to gather, clean, and integrate data from various sources. It will be your responsibility to ensure the accuracy and reliability of the data visualizations. - Focusing on user-centric design principles to ensure that visualizations are intuitive and meet the needs of different stakeholders. You will conduct usability testing and iterate on designs based on feedback. - Developing and implementing best practices for data visualization architecture, establishing guidelines, and standards for creating and maintaining visualizations. - Working with cross-functional teams, including data scientists, analysts, and business leaders, to understand their data needs and translate them into actionable visual insights. - Optimizing the performance of data visualizations to handle large datasets efficiently and ensure quick load times. - Experience in Requirements Gathering and analyzing needs based on user requirements, estimating effort/timeline, and providing solutions for proposals. - Providing training and support to end-users on how to interact with and interpret the visualizations, along with creating documentation and user guides as needed. - Staying current with industry trends, emerging technologies, and best practices in data visualization and proposing and implementing new tools and techniques to enhance visualization capabilities. Qualifications required for this role include: - Proven experience in data visualization and dashboard development, with a strong portfolio showcasing your work. Experience with tools such as Tableau, Power BI, or similar is necessary. - Proficiency in SQL and experience with data manipulation and transformation. Knowledge of programming languages such as Python or R is advantageous. - Strong understanding of design principles, including layout, color theory, and typography. Experience with design tools such as Adobe Creative Suite or similar is beneficial. - Ability to analyze complex data sets and identify key insights, along with strong problem-solving skills and attention to detail. - Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively. - Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines. Exposure to RFPs, Estimation, and Planning is desired. Preferred Skills: - Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). - Knowledge of statistical analysis and data modeling techniques. - Experience with user experience (UX) and user interface (UI) design principles. At EY, we are dedicated to building a better working world by creating new value for clients, people, society, and the planet, while building trust in capital markets. Our teams, enabled by data, AI, and advanced technology, help shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. With a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams provide services in more than 150 countries and territories.,

As a Risk Management Analyst at Ameriprise Financial Inc., you will be responsible for analyzing complex business issues using data from various sources. Your role will involve incorporating company and industry knowledge, technological expertise, and sound analytical processes to identify issues and recommend courses of action. Key responsibilities include: - Analyzing lending portfolios to maximize profitability by managing risk exposure - Identifying segments or acquisition channels/policies with high risk exposure - Providing monthly Risk Management MIS and guidance to stakeholders - Forecasting credit losses for the Bank's portfolios and evaluating the loss reserve methodology - Monitoring credit quality and practices, including collections, foreclosures, and credit line management Qualifications required for this role include: - Bachelor's degree in Engineering (B.E./ B.Tech.) and a preferred master's degree in quants - 5+ years of experience in consumer credit risk management related analysis - 2+ years of experience in Loan Loss forecasting or CECL loss reserving - Proficiency in statistical software such as Python, R, or equivalent - Experience with AWS Data Lake and tools like Dataiku, SageMaker - Strong analytical abilities, project management, and communication skills - Ability to handle confidential information with integrity - Experience with credit card and mortgage portfolios, analytics management, and credit risk management - Strong interpersonal skills and ability to thrive in an ambiguous environment About Ameriprise Financial Inc., it has a history of 130 years providing client-based financial solutions globally. The company's focus areas include Wealth Management and Advice, Asset Management and Advice, Retirement Planning, and Insurance Protection. Join a collaborative culture that rewards contributions and offers opportunities for personal and professional growth at Ameriprise India LLP.,

As a Senior Quantitative Analyst (Model Developer/Validator) at our company, you will play a crucial role in driving sophisticated credit risk modeling initiatives across retail and wholesale portfolios. Your primary focus will be on Internal Credit Risk Rating modeling, where your deep domain knowledge and advanced technical skills will be instrumental in developing and validating advanced credit risk models. Key Responsibilities: - Lead the end-to-end development and validation of advanced credit risk models, including PD, EAD, LGD, with an emphasis on Expert judgement-based PD models for Corporate, Specialised Lending, and Financial Institutions. - Conduct comprehensive data preparation and preprocessing using tools such as SAS, Python, R, and SQL. - Collaborate with cross-functional stakeholders to analyze, interpret, and communicate complex model results and insights. - Develop comprehensive technical documentation, including Regulatory compliance Model documentation, Test plans, Validation reports/Findings Report, and Business Requirements Documents (BRD) where applicable. - Drive continuous model improvement by identifying optimization opportunities, implementing advanced modeling techniques, and enhancing model performance and predictive accuracy. - Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and professional development. Required Qualifications: - 5-10 years of hands-on experience in credit risk model development and validation. - Proven expertise in modeling across retail and wholesale credit portfolios. - Advanced proficiency in SAS, Python, R, SQL. - Deep understanding of IFRS9 and CECL regulatory frameworks and guidance. - Exceptional analytical and problem-solving skills. - Excellent written and verbal communication abilities. Preferred Qualifications: - Advanced degree in Statistics, Mathematics, Economics, or a related field. - Professional certifications in risk management or financial modeling. - Experience with IRB modeling, machine learning/advanced statistical modeling techniques. - Knowledge of Basel regulatory guidance. Technical Skills: - Model Development: PD, LGD, EAD, Qualitative PD Models. - Programming: SAS, Python, R, SQL. - Regulatory Knowledge: IRB, IFRS9, CECL. - Statistical Modeling. - Data Preprocessing. - Machine Learning Techniques.,

As a Sustainability Analyst with our company, you will play a crucial role in supporting data-driven ESG and climate analytics projects. Your expertise in Python, SQL, or R Programming will be utilized to deliver insights that drive sustainable business strategies. Key Responsibilities: - Analyze sustainability and ESG data using Python, SQL, or R. - Conduct assessments on climate science, energy transition, and physical risk. - Build and manage sustainability datasets and reporting dashboards. - Perform data modeling and analysis for ESG disclosures and impact measurement. - Collaborate with technical and research teams to develop analytical frameworks. - Translate complex data into clear sustainability insights for stakeholders. Required Skills: - Proficiency in Python, SQL, or R Programming is mandatory. - Strong understanding of ESG (Environmental, Social, and Governance). - Knowledge in Climate Science & Environmental Analytics. - Experience in Physical Risk Modelling. - Familiarity with Energy Transition & Sustainability Reporting. - Ability in Data Visualization, preferably with Power BI or Tableau. - Skills in Statistical & Predictive Analysis. - Background in Risk & Policy Research. Qualifications: - Graduate or Postgraduate in Environmental Science, Sustainability, Data Science, Economics, or a related field. - 5-10 years of relevant experience in sustainability analytics, ESG research, or climate risk consulting. If you're passionate about leveraging data to drive sustainability and create real-world impact, we would love to connect with you! Apply directly or message us to learn more about this exciting opportunity.,

As an experienced Lead Model Developer/Validator with exceptional expertise in credit risk modeling, your primary focus will be on Internal Credit Risk Rating modeling. You will bring deep domain knowledge and advanced technical skills to drive sophisticated credit risk modeling initiatives across retail and wholesale portfolios. Key Responsibilities: - Lead end-to-end development and validation of advanced credit risk models, including PD, EAD, LGD, with emphasis on Expert judgement-based PD models for Corporate, Specialised Lending, and Financial Institutions. - Conduct comprehensive data preparation and preprocessing using tools such as SAS, Python, R, and SQL. - Collaborate with cross-functional stakeholders to analyze, interpret, and communicate complex model results and insights. - Develop comprehensive technical documentation including regulatory compliance model documentation, test plans, validation reports/findings report, and Business Requirements Documents (BRD) where applicable. - Drive continuous model improvement by identifying optimization opportunities, implementing advanced modeling techniques, and enhancing model performance and predictive accuracy. - Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and professional development. Required Qualifications: - 5-10 years of hands-on experience in credit risk model development and validation. - Proven expertise in modeling across retail and wholesale credit portfolios. - Advanced proficiency in SAS, Python, R, SQL. - Deep understanding of IFRS9 and CECL regulatory frameworks and guidance. - Exceptional analytical and problem-solving skills. - Excellent written and verbal communication abilities. Preferred Qualifications: - Advanced degree in Statistics, Mathematics, Economics, or related field. - Professional certifications in risk management or financial modeling. - Experience with IRB modeling, machine learning/advanced statistical modeling techniques. - Knowledge of Basel regulatory guidance. Technical Skills: - Model Development: PD, LGD, EAD, Qualitative PD Models. - Programming: SAS, Python, R, SQL. - Regulatory Knowledge: IRB, IFRS9, CECL. - Statistical Modeling. - Data Preprocessing. - Machine Learning Techniques.,

Role Overview: As a Business Analytics Analyst 2 in the Data Science and Modeling team of North America Consumer Bank at Citi, your primary responsibility will be to create client-centric analytic solutions to business problems. You will be expected to own and deliver multiple complex analytic projects by understanding the business context, converting business problems into modeling frameworks, and implementing solutions to create economic value. Additionally, you will need to stay up-to-date with the latest modeling community use cases, machine learning, and deep learning algorithms, and share knowledge within the team. Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling will be crucial in this role. Your communication skills will play a vital role in translating technical thoughts and ideas to a larger audience, including influencing peers and senior management. Strong project management skills, coaching and mentoring abilities, and contributions to organizational initiatives will also be expected from you. Key Responsibilities: - Work with large and complex datasets using tools such as Python, PySpark, SQL, Hive, etc. to build Deep learning/generative AI solutions for various business requirements. - Design, fine-tune, and implement LLMs/GenAI applications utilizing techniques like prompt engineering, Retrieval Augmented Generation (RAG), and model fine-tuning. - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, including utilizing deep learning/generative AI algorithms and data visualization techniques. - Specialize in marketing, risk, digital, and AML fields, applying Deep learning & generative AI models to innovate in these domains. - Collaborate with team members and business partners to build model-driven solutions using cutting-edge Generative AI models and ML/traditional methods. - Ensure compliance of models in accordance with Citi standards and assess risks when making business decisions. Qualifications Required: - Bachelor's Degree with at least 3 years of experience in data analytics, or Master's Degree with 2 years of experience in data analytics, or PhD. - Hands-on experience in PySpark/Python/R programming with strong experience in SQL. - 2-4 years of experience working on deep learning and generative AI applications. - Familiarity with tools/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, etc. - Solid understanding of deep learning, transformers/language models. - Experience working with large datasets, data warehouses, and relevant coding programs. - Strong background in Statistical Analysis. - Experience in Credit Cards and Retail Banking is preferred. - Strong communication, analytical, problem-solving, and team player skills. Additional Company Details (if available): Citi's mission is to serve as a trusted partner to clients by providing responsible financial services that enable growth and economic progress. With over 200 years of experience, Citi helps clients meet challenges and embrace opportunities. The Analytics and Information Management (AIM) unit, established in 2003, is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. The Next Gen Analytics (NGA) team, a part of AIM, focuses on creating client-centric analytic solutions and modeling frameworks to unlock opportunities for clients and drive economic value for the bank.,

As a Data Analyst at our company, you will play a crucial role in understanding the data requirements of various teams and developing solutions to enable data-backed decision-making. Your responsibilities will include: - Working closely with teams across the company to understand their data requirements and develop solutions for making data-backed decisions. - Developing a deep understanding of business performance and generating strategic insights to influence decision-making. - Coordinating with key business stakeholders to identify and solve business problems using strong analytics concepts. - Identifying key metrics, conducting thorough exploratory data analysis, creating executive-facing dashboards, and building business cases to drive decision-making and prioritization. - Synthesizing large volumes of data with attention to granular details and presenting findings and recommendations to senior-level stakeholders. To qualify for this role, you must have: - 2-5 years of relevant experience with a strong blend of analytics and soft skills. - A Bachelor's or Master's degree (MBA, B.Tech) from a top-tier college. - Strong understanding of database designs and ETL principles. - Hands-on experience with SQL, Python/R. - Experience working with analytics tools like Power BI and Google Analytics to build dashboards and performance scorecards. - Strong capability to understand business problems within the context of an Omni Channel Retail and utilize data to solve them. - Strong stakeholder management skills, assertively managing expectations and negotiating. - Good-to-have experience with e-commerce or product-based organizations. - Excellent communication, teamwork, and problem-solving skills.,

As a Risk Management Analyst at Ameriprise Financial Inc., you will be responsible for analyzing complex business issues using data from various sources. Your role will involve incorporating company and industry knowledge, technological expertise, and sound analytical processes to identify issues and recommend courses of action. Key responsibilities include: - Analyzing lending portfolios to maximize profitability by managing risk exposure - Identifying segments or acquisition channels/policies with high risk exposure - Performing sensitivity analysis around key drivers of losses - Providing monthly Risk Management MIS and guidance to business managers and external partners - Forecasting credit losses for the Bank's portfolios to ensure alignment of charge-offs and loss reserves - Evaluating and validating the loss reserve methodology annually - Continuously monitoring credit quality and practices including collections, foreclosures, and credit line management Qualifications required for this role include: - Engineering (B.E./ B.Tech.) graduate, with a preference for a master's degree in quants - 5+ years of consumer credit risk management related analysis experience - 2+ years of experience in Loan Loss forecasting or CECL loss reserving - Proficiency with statistical software such as Python, R (or equivalent) - Experience with AWS Data Lake and tools like Dataiku, SageMaker, etc. - Strong analytical abilities, including building business cases and proposals - Excellent project management and communication skills - Ability to handle confidential information with integrity - Experience with credit card and mortgage portfolios, analytics management, and credit risk management - Experience with predictive modeling preferred - Strong interpersonal skills, teamwork, leadership, and influence management abilities - Ability to thrive in an ambiguous environment About Ameriprise Financial Inc.: Ameriprise Financial Inc. has a rich history of 130 years, providing client-based financial solutions to help clients achieve their financial objectives. Headquartered in Minneapolis, it is a leading financial planning company with a global presence. The firm's focus areas include Wealth Management and Advice, Asset Management and Advice, Retirement Planning, and Insurance Protection. Join our inclusive and collaborative culture that values your contributions and offers opportunities for personal and professional growth. Please note that this is a full-time position with timings from 2:00 PM to 10:30 PM in the India Business Unit (AWMPO AWMP&S President's Office).,

As a Data Scientist III, Commercial Operations Analytics at Expedia Group, you will have the opportunity to contribute to enhancing the Account Management space by delivering actionable insights and dashboards. Your role will involve engaging with various stakeholders to identify and prioritize challenges in the lodging area, using your problem-solving skills to frame business challenges as analytical problems, and applying analytics techniques to deliver insights supporting decision-making of account management stakeholders. You will also be responsible for building relationships with different teams across the organization and delivering insights to commercial leaders through clear and compelling storytelling. **Key Responsibilities:** - Engage broadly and proactively with the organization to identify and prioritize challenges arising in the lodging area - Frame business challenges as analytical problems and apply problem-solving techniques to break them down into concrete analytical tasks - Extract data from multiple sources and combine them into the required datasets - Apply analytics techniques to deliver insights supporting decision-making of account management stakeholders - Articulate decision-making rationale, methodology, and recommendations to both technical and non-technical partners through clear and compelling storytelling in presentations **Qualifications Required:** - Bachelors or Masters degree in a quantitative field such as Business, Economics, Statistics, Mathematics, or a related discipline, or equivalent experience - Preferred: 5+ years of experience in analytics, business intelligence, or a related field, with a proven track record of delivering insights that drive business impact - Proficiency in SQL, Tableau, Excel, and PowerPoint; knowledge of Python or R is a plus - Strong problem-solving skills and the ability to frame complex business problems as analytical tasks - Excellent communication and presentation skills, with the ability to influence stakeholders at all levels, including VP+ - Experience managing multiple projects simultaneously and delivering results in a fast-paced environment - Familiarity with statistical techniques, hypothesis testing, and performance measurement frameworks is a plus Expedia Group, known for powering global travel for everyone, offers a diverse, vibrant, and welcoming community where everyone belongs and differences are celebrated. The company values its employees and provides a full benefits package, exciting travel perks, generous time-off, parental leave, a flexible work model, and career development resources to fuel employees" passion for travel and ensure a rewarding career journey.,

Role Overview: As a Managing Consultant in the Analytics team within the Advisors & Consulting Services group at Mastercard, you will play a crucial role in translating data into actionable insights for clients. Your responsibilities will include leading client engagements, developing analytics strategies, managing key client relationships, and collaborating with internal stakeholders to deliver impactful solutions. Additionally, you will lead a team to provide creative insights and recommendations while fostering a collaborative and inclusive work environment. Key Responsibilities: - Lead client engagements across various industries and problem statements - Develop analytics strategies and programs for large, regional, and global clients using data and technology solutions - Own key relationships with mid-level to senior client stakeholders, assessing client agenda, internal culture, and change readiness - Lead a team to deliver sound business recommendations and impactful client presentations - Provide analytical and day-to-day project delivery team leadership - Collaborate with internal stakeholders to scope projects, create solutions for clients, and enhance the firm's intellectual capital - Offer on-the-job training, coaching, and mentorship to junior consultants Qualifications Required: Basic Qualifications: - Undergraduate degree with experience in data and analytics, focusing on business intelligence and/or descriptive, predictive, or prescriptive analytics - Experience in coaching and managing teams across multiple projects - Proficiency in managing key client relationships and understanding business KPIs, financials, and organizational leadership - Ability to identify new business development opportunities, draft proposals, and scope new projects - Strong analytical, interpretive, and problem-solving skills, including data analysis and synthesis - Experience with data analytics software (e.g., Python, R, SQL, SAS), database structures, and data visualization tools - Proficiency in Word, Excel, and PowerPoint - Ability to multitask in a fast-paced, deadline-driven environment - Effective communication skills in English and the local office language - Eligibility to work in the country of application and apply for travel visas as needed Preferred Qualifications: - Additional experience in data analytics within the Hadoop framework and coding using Impala, Hive, or PySpark - Experience in generating new knowledge or innovative solutions for a firm - Industry expertise relevant to the role - Masters degree with specialization in advanced analytics, big data, or mathematical discipline (Note: Corporate Security Responsibility details have been omitted from the summary),

As an Analytics Manager at noon, you will play a crucial role in analyzing data to identify business challenges and opportunities across customer segments, markets, and products. You will be responsible for improving funnel performance by analyzing the customer journey from acquisition to engagement, retention, and monetization. Additionally, you will design and evaluate A/B experiments to validate hypotheses, enhance analytics processes, and drive business reviews with stakeholders. **Key Responsibilities:** - Proactively analyze data to identify emerging business challenges and opportunities - Enhance customer journey by improving funnel performance - Design and evaluate A/B experiments to validate hypotheses and support product or growth decisions - Improve analytics processes and tools, make data more accessible, and streamline reporting - Drive regular business reviews with stakeholders and contribute to strategy planning **Qualifications Required:** - Bachelor/Master degree in Engineering, Mathematics, Physics, Computer Science, or equivalent - Minimum 4+ years of experience in Analytics/Strategy/Consulting - Excellent data analysis skills with knowledge of Tableau/Power BI and other analytical tools - Proficiency in SQL, Python, R, and SAS with the ability to develop, test, and deploy models - Experience in handling large datasets and strong data modeling skills - Strong knowledge of funnel analytics, customer segmentation, churn analytics, and A/B testing - Strong problem-solving capabilities and ability to own projects end-to-end - Adaptability in a dynamic and fast-paced environment - Excellent verbal and written communication skills At noon, we are looking for individuals with high standards, a deep bias for action, and the courage to be original. If you are ready to adapt, pivot, and learn in a fast-paced environment, then you will excel in this role.,

As a Data Visualization Architect at EY, you will have the opportunity to contribute to building a better working world by creating compelling data visualizations and dashboards that communicate data insights effectively. Here is a breakdown of what you can expect in this role: **Key Responsibilities:** - Utilize your 12-15 years of experience to develop interactive and static visualizations using tools like Tableau, Power BI, or similar visualization tools. - Collaborate with stakeholders such as data engineers and analysts to gather, clean, and integrate data from various sources, ensuring accuracy and reliability. - Focus on user-centric design principles to create intuitive visualizations that meet the needs of different stakeholders. Conduct usability testing and iterate on designs based on feedback. - Establish best practices for data visualization architecture, including guidelines and standards for creating and maintaining visualizations. - Work with cross-functional teams to understand data needs and translate them into actionable visual insights. - Optimize the performance of data visualizations to handle large datasets efficiently and ensure quick load times. - Experience in Requirements Gathering, analyzing needs based on user requirements, estimating effort/timeline, and providing solutions for proposals. - Provide training and support to end-users on interacting with and interpreting visualizations. Create documentation and user guides as needed. - Stay updated with industry trends, emerging technologies, and best practices in data visualization. Propose and implement new tools and techniques to enhance visualization capabilities. **Qualifications:** - Proven experience in data visualization and dashboard development, with a strong portfolio showcasing your work. Proficiency in tools like Tableau, Power BI, or similar is required. - Technical Skills: Proficiency in SQL, experience in data manipulation and transformation. Knowledge of programming languages like Python or R is a plus. - Design Skills: Strong understanding of design principles, including layout, color theory, and typography. Experience with design tools like Adobe Creative Suite is advantageous. - Analytical Skills: Ability to analyze complex data sets, identify key insights, strong problem-solving skills, and attention to detail. - Communication: Excellent verbal and written communication skills, ability to convey technical concepts to non-technical stakeholders effectively. - Project Management & Others: Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines. Exposure to RFPs, Estimation, and Planning is preferred. **Preferred Skills:** - Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). - Knowledge of statistical analysis and data modeling techniques. - Experience with user experience (UX) and user interface (UI) design principles. Join EY and be part of a globally connected powerhouse that shapes the future with confidence, building a better working world for clients, people, society, and the planet.,

Role Overview: Expedia Group is seeking a Data Scientist II to join the Landing Analytics team, which plays a crucial role in shaping the traveler experience by utilizing data to inform decisions, optimize performance, and uncover opportunities for innovation. As a Data Scientist II, you will be part of a collaborative team that values transparency, continuous learning, and data-driven storytelling. This role offers a fantastic opportunity to contribute to meaningful projects that impact millions of travelers worldwide. Key Responsibilities: - Apply analytics principles to solve business problems with moderate guidance. - Extract, transform, and analyze data from multiple sources to build models and generate insights. - Design and execute experiments such as A/B tests and causal impact studies to evaluate business strategies. - Build and interpret models like linear/logistic regression and clustering, understanding their assumptions and applications. - Create clear, inclusive visualizations and dashboards to communicate insights to both technical and non-technical audiences. - Collaborate with stakeholders to refine project goals, iterate on solutions, and deliver impactful recommendations. - Write efficient, reproducible code and documentation using tools like GitHub, IEX, and Confluence. - Empower stakeholders through training and enablement on analytics tools and dashboards. - Demonstrate initiative in learning new modeling techniques and applying them to current projects. - Contribute to a culture of peer review, knowledge sharing, and continuous improvement. Qualifications Required: - Bachelors or Masters degree in Mathematics, Statistics, Computer Science, or a related field. - 2-3+ years of experience in data analytics or a comparable role. - Proven track record of delivering data-driven insights that influenced business decisions. - Proficiency in SQL, Python, R, or similar tools for data analysis and visualization. - Understanding of descriptive statistics, probability theory, and statistical testing. - Experience with data modeling techniques and experiment design. - Familiarity with big data challenges and performance optimization. - Ability to write intermediate SQL queries and build scalable data pipelines. - Strong critical thinking, problem-solving skills, effective communication, storytelling abilities, and business acumen. - Collaborative mindset, openness to feedback, and commitment to inclusive design and accessibility in data visualization.,

As an Associate Data Scientist at NAVVYASA CONSULTING PRIVATE LIMITED, you will be pivotal in analyzing data, uncovering insights, and contributing to data-driven decision-making processes. Your efforts will significantly influence business growth and bolster the company's competitive advantage in the Investment Banking/Venture industry. **Key Responsibilities:** - Collect, clean, and preprocess data for analysis. - Perform exploratory data analysis to identify trends and patterns. - Develop and implement machine learning algorithms for predictive modeling. - Create data visualizations and reports to effectively communicate findings to stakeholders. - Collaborate with cross-functional teams to address business challenges. - Conduct statistical analysis to facilitate decision-making processes. - Optimize data processing pipelines for enhanced efficiency and scalability. - Stay abreast of industry trends and best practices in data science. **Qualifications Required:** - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. - Proficiency in programming languages such as Python, R, or Java. - Experience with data visualization tools like Tableau, Power BI, or Matplotlib. - Strong analytical and problem-solving capabilities. - Knowledge of machine learning techniques and algorithms. - Excellent communication and presentation skills. - Ability to work collaboratively in a team setting. - Attention to detail and a keen interest in deriving data-driven insights.,

As a Research and Analytics Manager with 3 to 5+ years of experience, your role will involve working on a major Brand Equity tracking project for a regional client covering multiple Therapy Areas across Asia Pacific markets. You will collaborate with colleagues in Europe, India, and Singapore, reporting to the Analytics Director based in the UK. This project offers a significant platform for you to impact the client's brand strategies positively. Key Responsibilities: - Apply programming skills, especially in MS Excel VBA, along with statistical expertise in SPSS/R/Q for running analyses. - Educate research executives on statistical and digital methodologies, providing support at all project stages. Qualifications Required: - Minimum 3 years of practical experience in market research advanced methods, marketing science, or digital analytics. - Proficiency in SPSS and R is mandatory, while familiarity with Python, Q-research, Sawtooth, Xlstats is desirable. - Essential experience in Key Drivers Analysis, SEM, Segmentation, Conjoint analysis, Maxdiff, TURF, with desirable exposure to secondary data, econometric modeling, Bayesian networks, and Machine learning models. - Some background in Healthcare is necessary for this role.,

You are a talented and motivated Data Analyst Intern who will be joining the team to gain hands-on experience in data analysis and contribute to real-world projects. You are passionate about data, possess strong analytical skills, and are eager to learn and grow in a collaborative environment. - Assist in collecting, organizing, and cleaning data from various sources. - Perform exploratory data analysis to uncover trends, patterns, and insights. - Develop and maintain data visualization dashboards and reports to communicate findings effectively. - Support the data team in building and maintaining data pipelines and workflows. - Collaborate with cross-functional teams to understand business requirements and provide analytical support. - Contribute to the development and implementation of data analysis tools and techniques. - Assist in conducting statistical analysis and modeling to support decision-making processes. - Document processes, methodologies, and findings to ensure knowledge sharing and replication. - Currently pursuing a degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. - Strong analytical and problem-solving skills with a keen attention to detail. - Proficiency in data manipulation and analysis using tools such as SQL, Python, R, or similar. - Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn. - Basic understanding of statistical concepts and techniques. - Excellent written and verbal communication skills. - Ability to work independently and collaboratively in a fast-paced environment. - Prior internship or coursework in data analysis is a plus.,

As a Senior Manager in the Data Science team at Accenture specializing in the Contact Center domain, your role will involve leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Here is a summary of your role overview, key responsibilities, and required qualifications: Role Overview: You will be part of the Marketing Analytics team dedicated to transforming customer interactions through data-driven intelligence. The team focuses on enhancing contact center operations by leveraging machine learning, NLP, and advanced analytics. Your work will include analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to improve satisfaction and reduce call transfers. Building conversational AI models, real-time recommendation systems, and predictive analytics solutions will be crucial in driving meaningful business impact. Key Responsibilities: - Drive the strategy and execution of AI/ML initiatives to automate responses, enhance customer interactions, and improve self-service capabilities. - Lead the development and deployment of scalable ML solutions for intent classification, sentiment analysis, and predictive analytics. - Design and implement AI-driven customer segmentation and behavioral analysis frameworks for personalized recommendations and targeted engagement. - Oversee the optimization of conversational AI workflows by enhancing intent recognition, response generation, and real-time decision-making. - Spearhead the analysis of large-scale customer interaction data to extract actionable insights and refine business strategies. - Partner with engineering, product, and marketing teams to integrate AI-driven solutions into enterprise platforms. Qualifications Required: - Must have skills in Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL. - Good to have skills in Graph Neural Networks (GNNs), LLM advancements, and a track record of scientific publications demonstrating expertise in AI and data science. If you are passionate about applying data science to solve real-world customer experience challenges and are experienced in leading AI/ML-driven projects, this role offers the opportunity to work on cutting-edge techniques and drive meaningful impact in the contact center space.,

Role Overview: As a Project Leader (PL) in Bains B2B Pricing Center of Expertise (CoE), you will drive client impact by combining technical problem-solving with pricing expertise. Your role will involve owning workstreams, delivering client-ready outputs, contributing hands-on to analytics and solution design, and coaching junior team members. This position requires a blend of individual contribution and leadership, necessitating strong technical skills and business acumen. You will work under the guidance of the COE Manager/Senior Manager, playing a crucial role in output delivery, client communication, and team management. Key Responsibilities: - Day to day work planning and team management. Take responsibility for scoping and delegating workstreams; monitor and balance workloads within the team - Lead end-to-end workstreams within client projects, ensuring timely, high quality, error-free analysis and output produced by the team - Bring strong problem-solving skills along with specialized knowledge of various analytical tools and best practices to deploy them - Individually contribute through advanced analytics: data cleaning, feature engineering, modeling, dashboarding, and storytelling - Apply and guide the use of Python (mandatory) plus tools such as R, SQL, Tableau, Alteryx to design and implement pricing solutions - Translate data into actionable insights to shape client strategy, commercial excellence, and pricing interventions - Coach and mentor Associates/Analysts on technical problem-solving and structured delivery - Brainstorm with the BCN Manager/Sr. Manager and Bain consulting/specialist team on various aspects of a client project or new IP development - Drive conversations through analytics to help drive insights through data analysis and story-lining the deliverable to prove/disprove hypotheses in the best interest of the client/project - Consistently provide responsible feedback, coaching, and mentoring to analysts and associates working with them to address their professional development needs. Also conduct performance discussions, writing reviews for appraisal (as required) - Assist in other CoE related activities (e.g., recruiting, training, events etc.) Qualifications Required: - Work experience range in case highest qualification is undergraduate studies: 5-8 years of hands-on industry experience in consulting/analytics with exposure to B2B pricing or commercial excellence with a strong academic record - Work experience range in case highest qualification is postgraduate studies: 3-6 years of hands-on industry experience in consulting/analytics with exposure to B2B pricing or commercial excellence with a strong academic record - Proven ability to deliver hands-on analytics while leading teams in fast-paced environments - Strong skills in Microsoft Excel and PowerPoint are required. Proficiency and experience in Python, R, SQL, and analytical tools (such as Alteryx, Tableau) will be preferred - Candidates should possess excellent problem-solving, analytical, work planning, communication, and team-leading skills.,

As a Data Scientist, your role will involve designing and implementing workflows for Linear and Logistic Regression, as well as Ensemble Models such as Random Forest and Boosting using R/Python. You should have a strong grasp of Probability and Statistics, with the ability to apply concepts of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of unforeseen situations like pandemics is essential. Conducting Exploratory Data Analysis (EDA) on raw data and performing feature engineering when necessary will be part of your responsibilities. Key Responsibilities: - Demonstrating proficiency in Data Visualization using the Python/R Data Science Stack - Leveraging cloud platforms for training and deploying large-scale solutions - Training and evaluating ML models using various machine learning and deep learning algorithms - Ensuring model accuracy is maintained during deployment and retraining as needed - Packaging and deploying large-scale models on on-premise systems using multiple approaches including Docker - Taking complete ownership of the assigned project - Working in Agile environments and utilizing project tracking tools like JIRA - Utilizing cloud platforms such as AWS, Azure, and GCP - Handling NoSQL databases like MongoDB, Cassandra, Cosmos DB, and HBase - Experience in forecasting with products like SAP, Oracle, Power BI, Qlik, etc. - Proficiency in Excel including Power Pivot, Power Query, Macros, and Charts - Working with large datasets and distributed computing tools such as Hive, Hadoop, and Spark - Implementing transfer learning with state-of-the-art models in various domains like vision, NLP, and speech - Integrating with external services and Cloud APIs - Using data annotation approaches and tools for text, images, and videos Qualifications Required: - Strong background in Data Science, Statistics, or related fields - Proficiency in programming languages such as R and Python - Experience with machine learning, deep learning, and statistical modeling - Familiarity with cloud platforms, NoSQL databases, and forecasting tools - Ability to work with large datasets and distributed computing frameworks - Excellent problem-solving skills and the ability to work independently - Strong communication and teamwork skills (Note: Additional details about the company were not provided in the job description.),

You will be working as an Artificial Intelligence Researcher in a remote capacity for a company based in Gurugram. Your main responsibilities will include conducting research and experiments in AI, developing and implementing AI algorithms, analyzing data, and publishing findings. Collaboration with cross-functional teams to integrate AI solutions in various applications, staying updated with the latest advancements in AI, and contributing to the company's strategic goals are also part of the role. **Key Responsibilities:** - Conduct research and experiments in the field of Artificial Intelligence - Develop and implement AI algorithms - Analyze data and publish research findings - Collaborate with cross-functional teams to integrate AI solutions - Stay updated with the latest advancements in AI technology - Contribute to the company's strategic goals **Qualifications Required:** - Strong background in Computer Science and Data Science - Experience in Pattern Recognition and Statistics - Proven research skills in the field of AI - Excellent analytical and problem-solving skills - Ability to work collaboratively in a team environment - Ph.D. or Master's degree in Computer Science, AI, Data Science, or related field - Knowledge of machine learning frameworks and programming languages such as Python or R - Experience in publishing research findings is a plus,