4028 R Jobs - Page 45

As a Senior Data Scientist at Mondelz International, you will play a crucial role in supporting the business by deriving valuable insights from data and effectively communicating your findings to various stakeholders. Your primary responsibilities will involve analyzing data using mathematical, statistical, and machine learning techniques to create actionable insights that drive data-driven decision making within the organization. Your key contributions will include formulating hypotheses, testing them through statistical modeling, and identifying trends or patterns that can be used to develop custom models or prototypes. You will collaborate with cross-functional teams to implement these models, monitor their performance, and ensure data accuracy throughout the process. In addition to your quantitative skillset and experience in statistics, you will leverage your knowledge of statistical programming languages such as R, Python, and SQL to process and gain insights from data. Your expertise in machine learning techniques, advanced statistical concepts, and data mining will be essential in developing analytics models that support decision-making processes. Furthermore, you will be responsible for exploring and experimenting with data visualization tools to effectively showcase data to stakeholders. Your ability to evaluate the need for analytics, select appropriate techniques, and generate valuable insights will be critical in driving innovation and maximizing value within the Data & Analytics function. As a strategic advisor, you will lead data science engagements, shape the organization's data science capabilities, and define internal standards for application development. Your role will involve designing enterprise-level data science applications, recommending suitable tools and technologies, and promoting responsible AI adoption within the organization. In summary, as a Senior Data Scientist at Mondelz International, you will be at the forefront of data-driven decision making, leading data science projects from concept to deployment, and driving innovation through the application of advanced analytics techniques. If you are ready to contribute your expertise and accelerate your career in the field of data science, we invite you to join our mission to lead the future of snacking at Mondelz International.,

You will be responsible for developing and implementing predictive models and machine learning algorithms to address logistics-related challenges like demand forecasting, route optimization, inventory prediction, and shipment delay analysis. This involves analyzing large volumes of structured and unstructured logistics data from systems like TMS (Transportation Management Systems), WMS (Warehouse Management Systems), and ERP platforms. Your role will also include designing and maintaining dashboards and visualizations to monitor supply chain KPIs, operational performance, and model outputs using tools such as Power BI, Tableau, or similar platforms. Collaboration with logistics, operations, procurement, and IT teams will be essential to comprehend business challenges and translate them into data science solutions. You will utilize SQL, Python, R, and big data tools to extract, clean, and prepare datasets for analysis and modeling purposes. Additionally, deploying models into production and monitoring their performance to ensure accuracy and reliability over time will be part of your responsibilities. In this position, you will contribute to strategic initiatives like logistics network design, warehouse automation, and sustainability optimization. Conducting A/B testing and causal inference to evaluate changes in supply chain processes and logistics strategies will also be a key aspect of your role. This is a full-time position with benefits including health insurance and provident fund. The work schedule is during day shifts and the work location is in person.,

Collect, clean, and analyze large datasets from various sources. Interpret data trends and patterns to provide actionable insights. Develop and maintain dashboards, reports, and visualizations using tools like AI, Tableau, Excel or any other tools. Required Candidate profile Work closely with stakeholders to understand their data needs and translate them into analytical solutions. Create and maintain documentation on data definitions, processes, and reports.

You should be proficient in programming languages such as Python and R. You must have a strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with conversational AI platforms, especially Oracle Digital Assistant, is preferred. Additionally, you should have familiarity with data processing tools and platforms such as Apache Spark and Hadoop. It is essential to be familiar with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models. Experience with natural language processing (NLP) techniques and libraries like NLTK and SpaCy is required. Understanding deep learning architectures for NLP, such as transformers and BERT, is a plus. Knowledge of containerization and orchestration tools like Docker and Kubernetes is beneficial. Moreover, you should possess skills in statistical analysis and data visualization using the R-language. This position is full-time and requires working the morning shift. Ideally, candidates should have at least 2 years of experience in AI/ML. The work location is in person.,

You will work closely with business IT partners to gain a deep understanding of business and data requirements. Your responsibilities will include acquiring data from primary or secondary sources, conducting data profiling, and interpreting data to provide quick analysis. You will be expected to identify trends and patterns in complex datasets, develop business matrices, proof of concepts, source mapping documents, and raw source data models. Additionally, you will play a key role in identifying and defining opportunities for process improvement. To excel in this role, you must possess a strong proficiency in Excel, databases (such as Redshift, Oracle), and programming languages (such as Python and R). Your ability to write SQL queries for data profiling, analysis, and presenting insights to stakeholders will be crucial. Familiarity with Datawarehousing and Data Modelling concepts, as well as exposure to the IT Project Lifecycle, will be highly beneficial. Previous experience in the Finance or Life Science domains is preferred. Knowledge of BI tools would be an added advantage for this position.,

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Wayfair Data Science is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Customer Tech Data Science team is focused on understanding and optimizing customer behavior on the website and mobile application as a key enabler for the company to move fast and iterate quickly on big business problems. At their core, the Customer Tech Data Science team at Wayfair are strong in quantitative analysis, enjoy coding but also want to balance that with their interest in business and applying advanced modeling techniques. They think critically to tackle complex challenges, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. As a Data Scientist at Wayfair, you will play a critical role in uncovering insights that shape strategic decisions and improve business performance. You will conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities. You will champion the use of emerging technologies to transform how data is explored and insights are uncovered. Additionally, you will become a subject matter expert on key business metrics and customer behavior, drive innovation in business analysis, collaborate with cross-functional partners, design and interpret A/B tests, and build scalable dashboards and reports using various tools. To be successful in this role, you should have a Bachelor's degree in a quantitative discipline, 2-4 years of work experience in analytics or data science, proficiency in programming languages like Python, R, or SAS, strong knowledge of SQL, experience in conducting quantitative analyses on complex datasets, familiarity with data visualization software, and excellent analytical, communication, and problem-solving skills. Experience in e-commerce or retail analytics is a plus. Wayfair is a global online destination for home goods, committed to industry-leading technology and creative problem-solving. Join us for rapid growth, continuous learning, and dynamic challenges that will define the most rewarding work of your career. Your personal data is processed in accordance with Wayfair's Candidate Privacy Notice. For any privacy-related questions or requests, please contact dataprotectionofficer@wayfair.com.,

As an ideal candidate for this position, you should hold a Master's degree in Pharmacy with a specialization in Pharmacology or Pharmaceutical Analysis coupled with 5-8 years of experience. Alternatively, a Ph.D. with 2-5 years of relevant experience in PK/PD Modelling and PBPK models would also be considered. Your responsibilities in this role would include developing and applying pharmacometric models to aid in drug development and regulatory submissions. You must possess a deep understanding of non-linear mixed effects modelling and be proficient in using software tools such as PBPK models, Phoenix, R, PoPK, QSP modelling, or similar platforms. Your expertise in pharmacokinetics/pharmacodynamics (PK/PD) modelling and First-in-human dose predictions will be crucial for the success of this role. Collaboration is key in this position, as you will work closely with clinical pharmacology, biostatistics, and other interdisciplinary teams to shape clinical trial designs and analyze data. Your tasks will also involve creating and executing model-based strategies to enhance dosing regimens and achieve optimal therapeutic outcomes. Ensuring the accuracy and quality of pharmacometric analyses and reports will be a significant part of your role. You will be expected to engage with regulatory agencies, preparing submission documents related to pharmacometric analyses. Staying updated on the latest advancements in pharmacometrics and integrating new methodologies and technologies as needed will be essential. Additionally, presenting your findings and strategies to project team meetings and cross-functional teams is crucial, highlighting your ability to collaborate effectively in a team environment.,

As a member of the Expedia Group team, you will be part of a global travel powerhouse that aims to make travel smoother and more memorable for everyone, everywhere. Our innovative technology solutions cater to travelers" needs and create groundbreaking opportunities for our partners. We thrive on the diversity, vibrancy, and inclusivity of our community, which is fundamental to our continued success. Why Join Us At Expedia Group, we prioritize people in shaping the future of travel. Our Values and Leadership Agreements guide us in maintaining an open culture where every individual is valued, differences are celebrated, and collective success is paramount. By joining our team, you will enjoy a comprehensive benefits package that includes exciting travel perks, generous time-off, parental leave, a flexible work model, and access to career development resources. We are committed to fueling our employees" passion for travel and ensuring a fulfilling career journey as we work towards building a more open world. About The Role Are you enthusiastic about data, analytics, and collaborating with top talent to solve complex problems If you are eager to make a direct impact on reshaping the travel industry through insightful recommendations that drive enhancements, we are looking for you! We are in search of an experienced analytics professional to join our AI Agent Product Analytics Team, supporting a diverse portfolio of the world's leading online travel brands. In this mid-level role, you will work closely with product managers to focus on user experience optimization through GenAI-driven personalization. As a Data Scientist, your responsibilities will involve collaborating with a multidisciplinary team to address various challenges. You will bring scientific rigor and statistical methods to support business growth and product development efforts. Your role will play a crucial part in informing key business decisions across the product development lifecycle to enhance the user experience for millions of Expedia customers. You will be tasked with identifying customer friction points, generating and prioritizing hypotheses, designing experiments, conducting unbiased test analyses, providing actionable recommendations, and optimizing products. If you are a self-motivated individual who has a track record of leveraging analytics to drive innovation and enhance user engagement, this role is tailored for you. Your Responsibilities Will Include: - Applying expertise in quantitative analysis, machine learning, data mining, and data visualization to enhance customer experience and drive business outcomes with a focus on impactful analytics - Guiding product teams towards actionable insights - Leading end-to-end testing excellence, including the evaluation of A/B and multivariate (MVT) tests, identifying opportunities, and suggesting new features for test-and-learn initiatives - Assessing and implementing alternative methods to complement randomized testing - Developing metrics frameworks for your product, creating accurate and user-friendly dashboards/reports, and collaborating on goal setting, performance reviews, and strategic planning - Taking the initiative to identify current and potential problems and recommending optimal solutions based on trade-offs Experience And Qualifications: - 4+ years of experience in quantitative analysis for solving business problems - Bachelor's degree in a science, technology, engineering, or mathematics (STEM) field - Strong analytical skills with the ability to break down complex business scenarios - Experience with large datasets and proficiency in SQL or programming languages such as R or Python - Excellent communication skills with the ability to craft compelling stories using data - Solid understanding of statistics and hypothesis testing (e.g., confidence intervals, regression, time series, clustering, factor analysis) - Familiarity with visualization tools such as Tableau - Knowledge of Adobe Analytics or Google Analytics is a plus - Detail-oriented with a strong curiosity and passion for making an impact Accommodation Requests: If you require assistance during any part of the application or recruiting process due to a disability or other physical or mental health conditions, please contact our Recruiting Accommodations Team through the Accommodation Request. We are honored to have been recognized as a Best Place to Work on Glassdoor in 2024 and to have received accolades for our award-winning culture from organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's esteemed family of brands includes Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Please note that all employment opportunities and job offers at Expedia Group will be communicated by Expedia Group's Talent Acquisition and hiring teams. Never disclose sensitive personal information to anyone unless you are certain of the recipient's identity. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom prior contact has not been made. Our official email domain is @expediagroup.com. To find and apply for job openings at Expedia Group, visit careers.expediagroup.com/jobs.,

You will be an Applied Economist - Full-Stack Data Science (R + Shiny) Intern at a fast-growing health-tech & wellness startup located in Noida. As part of the role, you will manage the complete data cycle, including extraction, cleaning, analysis, and visualization, to transform complex financial data into actionable insights. Your primary responsibilities will involve working with raw financial and operational data to extract, clean, analyze, and visualize information. You will be expected to create and maintain interactive dashboards using tools like Shiny, automate financial reporting, develop forecasting models, and collaborate with various teams to deliver data-driven insights. To excel in this role, you must have proficiency in R (preferred) or Python for handling real-world data, building Shiny dashboards for real-time insights, and possess strong analytical and problem-solving skills. A good understanding of financial metrics, forecasting, and the ability to communicate insights clearly are essential for success. The ideal candidate will have a background in Economics, Applied Statistics, or Data Science, with fluency in R, especially for dashboarding using Shiny. Additionally, you should have a strong grasp of causal inference, forecasting, and behavioral trends, along with experience in backend deployment for server-side operations. If you are looking for an opportunity to own and lead data-driven projects in a collaborative and learning-focused environment, where your work directly impacts company decisions, then this internship could be the perfect fit for you. Upon demonstrating exceptional performance during the 23-month internship, there is a high likelihood of a full-time job offer.,

As a Data Scientist focused on Manufacturing Data Solutions at PwC, you will leverage advanced analytical techniques and machine learning algorithms to transform data into strategic insights that drive business innovation and growth. Your expertise in predictive modeling and statistical analysis will enable you to identify patterns and trends, providing data-driven solutions to complex business challenges. You will create impactful visualizations using tools like Tableau to communicate findings clearly to stakeholders. In this role, your key responsibilities will include developing predictive models using advanced statistical and machine learning techniques, conducting time series analysis, classification, and regression to support business objectives, and utilizing Spark, Databricks, or cloud platforms like Azure/AWS for data processing. You will ensure seamless data flow from various sources into analytical models and create compelling visualizations using Tableau to convey data insights. Additionally, you will work with cross-functional teams to identify business challenges, develop data-driven solutions, and lead projects to implement innovative data science methodologies. To excel in this position, proficiency in Python, R, SQL, TensorFlow, and PyTorch is mandatory. Experience with time series analysis, predictive modeling, classification, and regression is essential, along with familiarity with Spark, Databricks, or cloud platforms like Azure/AWS. Expertise in creating visualizations with Tableau to convey data insights is also required. While not mandatory, having an interest in exploring new data science trends and technologies, as well as experience working with cross-functional teams to develop data-driven solutions, would be beneficial for this role.,

As a member of the R&A COE team at EY, you will be part of a dynamic group working on various Data Science and Machine Learning projects. Your role will involve utilizing your experience in data science projects and demonstrating advanced programming skills in SAS, R, or Python. You will be expected to independently understand and address data science problems using techniques such as linear regression, logistic regression, random forest, support vector machines, ANOVA/ANCOVA, time series modeling, segmentation, decision tree, clustering, recommendation engines, and forecasting. In this position, you will collaborate with a diverse team to contribute to Decision Sciences implementation projects. Your responsibilities will include developing analytical strategies for businesses, communicating with onsite coordinators, and presenting model results to clients. Timely completion of assigned tasks and regular status reporting will be essential components of your role. To be successful in this role, you should hold a degree in BE/BTech/MCA/MBA/CA with 0-3 years of experience in Information Management/Analytics. Having an understanding of Business Intelligence & Data Visualization concepts and experience with BI/Visualization tools will be advantageous. Additionally, you should possess excellent communication skills, a collaborative mindset, and a familiarity with software development best practices. If you have a background in the Banking/Finance domain, prior experience in client-facing roles, and strong written and verbal communication skills, it will be considered as additional assets. By joining EY, you will be part of a global organization dedicated to building a better working world through innovation, collaboration, and a commitment to creating value for clients, society, and the planet.,

As a Business Analyst Sustainability at Bunge Global Business Services, located in Mohali, Punjab, India, you will play a crucial role in gathering and eliciting requirements, providing subject matter expertise for various products and teams. Your primary responsibility will be to enable full visibility of Bunge's Sustainability and Finance KPIs, and facilitate business intelligence and analytics by transforming business and process data into actionable insights. Your main accountabilities will include acting as a Functional and Subject Matter Expert in Sustainability, ESG, International Disclosure frameworks, and Sustainability Standards. You will engage with business stakeholders, conduct workshops, and capture detailed business requirements. Additionally, you will create user stories for Analytics Solution, review functional specifications, conduct SME Validation, and design UAT Test Cases. It will be your responsibility to facilitate UAT and provide clarifications to business users, ensuring closures per workflow. To excel in this role, you are expected to have strong competency in various tools such as Jira/ADO, MS Teams, MS PowerPoint, MS Excel, MS Word, Tableau/Power BI, SAP, and ESG accounting. You should also possess a solid understanding of sustainability/industrial/supply chain or finance domain, business intelligence/reporting, data analysis, and visualization. Your technical skills should include the ability to write complex calculations, BRDs, and data modeling. Experience with BI, Reporting, Analysis, Data Visualization, and Visual Storytelling will be highly beneficial. As a successful candidate, you will lead client engagements, oversee ESG Reporting, and Sustainability Analytics work-streams. You should be well-versed in GRI/SASB/IR/TCFD/CDP/BRSR and have expertise in ESG, Sustainability, and Finance KPIs. Your role will involve gathering requirements, conducting UAT, and working with the operations team to streamline technical processes. You will also be responsible for managing engagement economics, ensuring high-quality deliverables, and leading the execution of projects. Ideally, you should have a Masters in ESG/Sustainability or equivalent from a premier institute/university, along with 3 to 5 years of post-qualification relevant experience. Professional certifications in GRI/SASB/IR/TCFD/CDP/BRSR will be advantageous. Bunge, a world leader in sourcing, processing, and supplying oilseed and grain products, is committed to creating sustainable products and opportunities for farmers and consumers worldwide. As an Equal Opportunity Employer, Bunge values diversity and inclusion, welcoming veterans and individuals with disabilities to be part of their team.,

As the Director of Marketing and Customer Analytics at Tata Digital in Gurugram, you will lead the efforts in leveraging data and analytics to optimize marketing strategies, enhance customer segmentation, improve user experiences, and drive growth across Tata Digital Platforms. Your role will be pivotal in shaping marketing and customer engagement strategies to keep the company ahead of the competition. You will be responsible for developing and executing a comprehensive data and analytics strategy to support marketing and customer engagement efforts. This includes overseeing the collection, cleansing, and secure storage of customer data to ensure quality. Leveraging data to create and refine customer segments for personalized and targeted marketing campaigns will be a key aspect of your role. Analyzing the performance of marketing campaigns, providing insights for improvement, and optimizing spending to maximize ROI will also be part of your responsibilities. Utilizing data analytics to gain insights into customer behavior, preferences, and trends to enhance customer experiences will be crucial. You will develop clear and actionable reports, dashboards, and visualizations to communicate insights to cross-functional teams and stakeholders. Collaboration with Marketing, Product Development, and IT teams to drive data-driven initiatives will also be essential. Qualifications: - Bachelor's degree in Engineering, Data Science, Statistics, or a related field; Master's degree preferred - Proven experience in data analytics, customer analytics, or related roles, with at least 2 years in a leadership position - Strong knowledge of data analytics tools and software (e.g., Adobe Analytics, Tableau, R, Python, etc.) - Proficiency in customer segmentation, A/B testing, and marketing performance metrics - Excellent leadership and team management skills - Exceptional communication and presentation abilities - Strategic thinking and problem-solving capabilities - Deep understanding of e-commerce and digital marketing trends.,

In this role, you're expected to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses across the enterprise. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. You will execute and participate in the Quality Assurance Reviews (QARs), providing feedback, insights, and observations on any deficiency and areas of improvement. As the ICM In-Business Quality Assurance Data Analytics Vice President, you will engage with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators. You will work closely with the In-Business Quality Assurance Head of Data Analytics to set the global strategy and lead the implementation of a robust Data analytics and testing program for the Quality Assurance function related to Wholesale Credit Risk (WCR) data governance. This role requires hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solutions. Additionally, you will be responsible for deriving concrete insights from data, qualifying business impact, and monitoring and analyzing model performance and data accuracy. As a successful candidate, you ideally have relevant experience in data analytics, Wholesale Credit Risk, and leadership skills. You should possess strong communication skills, the ability to collaborate effectively with stakeholders at all levels, and a good understanding of risk and control framework in banks. You should also have solid organizational skills, a logical and methodical mindset, and the ability to work under pressure while managing time and priorities effectively. Your technical skills should include coding knowledge and experience with programming languages like Python, Java, C++, and experience working with and manipulating large sets of data. A Bachelors or Masters degree in a quantitative or equivalent field is required, along with proficiency in data analysis tools like SQL, Python, SAS, R, Alteryx, Splunk, and visualization tools like Tableau, Qlikview, MS Power BI. If you have a drive to learn and master new technologies, excellent problem-solving skills, and clear communication abilities, you are encouraged to apply for this role. This position offers an opportunity to lead complex Quality Assurance work, provide effective challenge on data and credit processes, and partner with stakeholders to drive sustainable remediation.,

As a Data Analytics and Data Science Trainer, you will be responsible for developing and delivering comprehensive training programs aimed at professionals seeking to enhance their skills in data analysis, statistical methods, and machine learning. Your role will involve combining technical expertise with exceptional teaching abilities to create engaging learning experiences that effectively translate complex concepts into practical skills. Your key responsibilities will include designing, developing, and delivering training courses that cover a range of topics such as data analytics, statistics, data visualization, and machine learning. You will be tasked with creating hands-on exercises, projects, and assessments to reinforce learning outcomes, as well as adapting training content and delivery methods to cater to different learning styles and skill levels. It will be essential for you to stay updated with emerging trends and technologies in the field of data science and analytics, evaluate training effectiveness based on participant feedback, and provide mentorship and guidance to learners beyond formal training sessions. Collaboration with subject matter experts to ensure the technical accuracy of training materials, as well as developing supplementary learning resources like documentation, guides, and reference materials, will also be part of your responsibilities. To be successful in this role, you should hold a Bachelor's degree in Statistics, Computer Science, Mathematics, or a related field, with a Master's degree being preferred. You should have at least 3 years of practical experience in data analytics, data science, or a related field, along with a proven track record of developing and delivering technical training. Strong programming skills in Python or R, with a focus on data analysis libraries, are required, as well as experience with SQL, data visualization tools, and machine learning frameworks. Excellent communication and presentation skills will be crucial in explaining complex concepts clearly, and knowledge of adult learning principles and instructional design techniques is preferred. Experience with learning management systems and virtual training delivery platforms will also be beneficial. Preferred skills for this role include industry certifications in data science, analytics, or machine learning, experience in mentoring junior data professionals, knowledge of business intelligence tools such as Tableau or Power BI, experience with big data technologies like Hadoop or Spark, and a background in a specific industry vertical like finance, healthcare, or retail. In return, we offer a competitive salary and benefits package, continuous professional development opportunities, a collaborative and innovative work environment, flexible work arrangements, and the opportunity to shape the data skills of future professionals. We value diversity of thought and experience and encourage applications from candidates of all backgrounds who are passionate about data education.,

As a Risk & Credit Manager, you will be responsible for leading our credit risk strategy, adjudication processes, and decision models. Your expertise in credit policy and underwriting, combined with hands-on experience in advanced risk analytics and machine learning algorithms, will be crucial in strengthening our risk management framework. You will drive data-driven decision-making and implement scalable credit strategies that balance growth with robust portfolio quality. Your key responsibilities will include overseeing and improving credit adjudication policies, designing and monitoring machine learning-based credit risk models, building portfolio monitoring dashboards, and using actionable insights from credit performance data to refine policy and product features. Collaboration with cross-functional teams and ensuring compliance with internal risk policies and external regulatory guidelines will also be a part of your role. To be successful in this role, you should have 5-10 years of experience in Credit Risk, Underwriting, or Credit Policy roles within NBFCs, Banks, or Fintechs. Hands-on experience in designing and implementing credit adjudication frameworks, a good understanding of machine learning algorithms, exposure to global best practices in credit risk, and strong analytical skills are required. Additionally, you should have a proven track record of process improvement initiatives and excellent stakeholder management and communication skills. Joining our team will provide you with the opportunity to work on cutting-edge credit products, build next-generation risk management frameworks, and experiment with new data sources, tools, and algorithms in a collaborative and merit-driven work culture. If you are a graduate/postgraduate in Finance, Statistics, Economics, or a relevant quantitative field and looking for a Full-time, Permanent role with benefits such as flexible schedule, health insurance, leave encashment, paid sick time, paid time off, and provident fund, we look forward to having you on board.,

The Canine Control and Care Trust (CCC) in Pune is seeking a full-time Researcher for a Dog Behaviour & Sterilization Study on a 1-year contract basis. The position can be based in Pune, Maharashtra, or worked remotely with regular field visits to various sites and cities. The salary offered is 25,000 per month for full-time work, with the possibility of extension based on performance and funding availability. The desired start date for this role is as soon as possible. As a Researcher at CCC, your primary responsibility will be to design, conduct, and document a comprehensive study on canine behaviour before and after Animal Birth Control (ABC) surgeries. Your duties will include conducting behavioural observations, designing and implementing study protocols, collecting and analyzing data, collaborating with team members, and reporting findings. Additionally, you will be responsible for managing equipment and interactions with the community. To qualify for this position, you should hold a Bachelor's or Master's degree in veterinary sciences, Animal Behaviour, Biology, Zoology, or a related field (an MSc degree is preferred). Your experience should include field observation and behavioural data collection, as well as designing small-scale behavioural studies. Proficiency in data analysis tools such as SPSS, R, and Excel is essential. The ideal candidate will possess excellent observational, analytical, and communication skills, with the ability to work both independently and collaboratively with local teams. If you are interested in applying for this opportunity, please submit your CV and a brief cover letter (maximum 1 page) to admin@caninecontrolandcare.org with the subject line "Researcher - Dog Behaviour Study." In your cover letter, please highlight your relevant experience in behaviour observation or stray dog sterilization work, if applicable, and explain why you are well-suited for this study and enthusiastic about joining CCC.,

As an Analytics Consultant at our Edapally, Kochi office, you will have the exciting opportunity to utilize your passion for data to solve business challenges for our esteemed clientele, including Fortune 500 companies spanning various regions. Your unique combination of Math, Business, Technology, and Creativity skills will enable you to deliver cutting-edge solutions that drive impactful results. You will be responsible for managing the end-to-end delivery of complex analytics projects within specified timelines, in alignment with TurnB's delivery standards. Your expertise will be instrumental in implementing descriptive, prescriptive, and predictive analytics, and effectively communicating insights to internal and external stakeholders. Additionally, you will play a key role in designing and automating enterprise-scale dashboards, reports, and scorecards to provide invaluable business insights across the organization. As a subject matter expert, you will guide the team in selecting appropriate analytical methodologies to address critical business issues. Collaborating with cross-functional client teams, you will offer strategic recommendations based on data analysis and trends, and support the implementation of mitigation strategies. Your ability to create impactful presentations and deliver insights to key stakeholders will be crucial in driving informed decision-making. Moreover, you will leverage your expertise in developing statistical models and algorithms to meet business requirements for planning and forecasting. Your strong analytical skills, problem-solving acumen, and strategic thinking will be essential in delivering exceptional business value and exceeding service delivery KPIs. To excel in this role, you should have at least 2 years of experience as an Analyst, a Master's in Business Administration, and a Bachelor's in Engineering. A consistent academic track record with over 60% aggregate marks or CGPA 6.0 is required. Proficiency in Microsoft Office tools, advanced SQL queries, data modeling, data mining, and statistical programming languages such as Python or R is preferred. Excellent verbal and written communication skills in English are essential for effective collaboration and presentation of insights. If you are a detail-oriented, organized professional with a passion for data analytics and a drive to deliver exceptional results, we invite you to join our dynamic team as an Analytics Consultant.,

As an integral part of the MC Analytics team, your role in Real-World Evidence (RWE) generation will be crucial in bridging the gap between clinical effectiveness and the commercial success of pharmaceutical brands. Collaboration between clinical and commercial disciplines is key at MC Analytics, where valuable insights are shared to guide decision-making. The importance of considering commercialization early in the drug development process is emphasized, and we are dedicated to partnering with you to create fully integrated RWE solutions tailored for the peri-approval phase, ensuring the collection of essential data for a successful product launch. By focusing on Real-World Evidence generation to meet the needs of key stakeholders, you will provide: - The necessary data to support regulatory approval and licensing processes. - The evidence required by physicians to confidently prescribe the drug. Your proficiency in coding will play a significant role in this role, including: - Advanced/Expertise in R programming with a focus on dplyr and tidyverse packages. - Skilled in managing complex datasets, handling missing values, and performing data pre-processing tasks efficiently. - Experience with version control systems such as GitHub and GitLab. - Advanced SQL skills to write optimized and scalable queries. - Ability to write modular and reusable code, emphasizing best practices and functions. The desired qualifications and skills for this role include: - A degree in Statistics/Data Science (B.Sc/M.Sc) with 1-2 years of experience in Real-world data or Oncology. - Proficiency in implementing statistical methods for descriptive statistics, Kaplan-Meier curves, visualization plots, etc. - Demonstrated ownership of deliverables, ensuring timely and high-quality outcomes. - Capability to work independently while proactively seeking guidance when needed. - Willingness to follow directions, accept oversight, and collaborate effectively in a team setting. - Adaptability to thrive in a cross-functional and highly collaborative work environment. Join us at MC Analytics and be a part of a dynamic team dedicated to delivering impactful Real-World Evidence solutions. Visit our website at https://mcanalytics.co.in/ to learn more about our work and culture.,

As a dynamic and motivated candidate at AnjX, you will play a crucial role in transforming global supply chains through AI-driven solutions that enhance efficiency and decision-making. Your primary responsibility will involve developing mathematical models to optimize production planning and inventory management. Collaborating with the product team, you will define constraints, objectives, and optimization goals to streamline processes and ensure reliable planning. Your role will also entail performing simulations and scenario analysis to evaluate different planning strategies. You will have the opportunity to work closely with the software engineering team to implement linear programming and mixed-integer programming models. Additionally, you will provide research support for new optimization techniques that could enhance the software's capabilities. To excel in this position, you must possess a strong understanding of linear programming, optimization techniques, and operations research concepts. Proficiency in tools such as Python, MATLAB, R, or Gurobi for optimization is essential. Your mathematical and problem-solving skills will be crucial in translating business problems into mathematical models effectively. While a background in mathematics, engineering, or operations research is preferred, knowledge of supply chain and production planning will be advantageous. This is a paid internship opportunity at AnjX, offering a monthly stipend of 8000. If you are passionate about driving operational excellence and reducing environmental impact through innovative solutions, we invite you to join our team in Chennai Office and contribute to our mission of creating platforms that drive speed, reliability, and transparency in supply chain management.,

The Economic Analyst, North America (NAM) position at Mastercard Economics Institute (MEI) involves engaging in data analytics and economic research for the U.S. and Canada. Reporting to the VP, Lead Economist for North America at MEI, you will be responsible for supporting client and stakeholder engagements, collaborating with external clients and partners, and generating initial insights to create impactful storylines and visuals. You will also be involved in synthesizing analyses into clear recommendations, writing reports and client presentations, enhancing existing products, and proactively seeking new knowledge to improve productivity. The role requires a Bachelor's degree in Economics, Statistics, or Mathematics, with experience in statistical modeling, quantitative analysis, and R development, focusing on economic research. Proficiency in SQL and Hadoop is essential, along with expertise in R, Python, or other statistical packages. Experience with Tableau is preferred, and knowledge of JavaScript for data visualization is a plus. Familiarity with econometric and statistical techniques such as predictive modeling, regression analysis, time series modeling, and data mining methods is necessary. A willingness to learn additional statistical applications and software is expected. Candidates with prior experience in the financial services industry will be given preference. Strong communication and writing skills are essential for this role, along with the ability to actively participate in thought leadership activities and contribute to the continuous improvement of quality and productivity within the organization.,

The Cursor AI role at Feasible Technologies Pvt Ltd is a full-time position focused on developing and implementing AI solutions. As a Cursor AI, you will be involved in researching new AI technologies, creating and executing machine learning models, and enhancing existing AI algorithms. Collaboration with team members, technical documentation preparation, and ensuring timely completion of AI projects to meet company standards are key responsibilities. This position offers a permanent remote work opportunity. The ideal candidate for this role should possess the following mandatory skills: React Native with NodeJS. Qualifications for the Cursor AI position include experience in AI development, machine learning, and deep learning, proficiency in programming languages like Python, R, and TensorFlow, strong analytical and problem-solving abilities, staying updated with the latest AI technologies through research, excellent written and verbal communication skills, capability to work both independently and in a team, experience in technical documentation preparation, and a degree in Computer Science, AI, Machine Learning, or a related field.,

The company Cosmasol is an AI-first SaaS platform specifically catered towards aesthetic clinics in the U.S. The intelligent system offered by Cosmasol effectively integrates EMR, CRM, billing, and revenue tools to streamline operations, cut down costs, and improve patient conversion rates. Developed by a team consisting of technologists and plastic surgeons, Cosmasol focuses on automating administrative workflows, providing real-time insights, and seamlessly integrating with tools like Crisalix for 3D/VR consultations. The company's mission is to deliver efficient and effective solutions tailored for independent plastic surgeons. As an intern at Cosmasol, you will be based in Trivandrum or have the option to work remotely. This internship opportunity is perfect for individuals who are interested in working with AI within a SaaS product environment. Your responsibilities will include tasks such as developing and executing AI-driven workflows, aiding in the integration of EMR, CRM, billing, and revenue tools, as well as contributing to the automation of administrative workflows. Furthermore, you will collaborate closely with our team of technologists and plastic surgeons to create and implement innovative solutions. Qualifications for this role include knowledge and experience in AI and Machine Learning, proficiency in programming languages like Python, R, or Java, familiarity with SaaS platforms and cloud computing, strong analytical and problem-solving abilities, excellent communication and teamwork skills, and a background in healthcare technology would be advantageous. Candidates should be either pursuing or have recently completed a degree in Computer Science, Engineering, or a related field.,

As the Associate Director of Business Analytics at Zepto, you will play a crucial role in leading data-driven decision-making throughout the organization. Your responsibilities will include spearheading the business analytics function, collaborating with senior leadership to shape long-term strategies, and establishing a top-tier analytics team. This position necessitates a profound understanding of analytics, effective cross-functional teamwork, and a keen awareness of business drivers in a dynamic setting. You will be entrusted with a range of key responsibilities, such as overseeing analytics initiatives across various business units like Product, Growth, Supply Chain, Marketing, and Operations. Working closely with CXOs and senior executives, you will identify growth opportunities and provide guidance for data-informed strategic choices. Additionally, you will be responsible for developing and implementing company-wide metrics, reporting structures, and data processes to drive informed decision-making. Your role will also involve leading large-scale analytical projects encompassing customer segmentation, churn modeling, demand forecasting, and pricing analysis. Moreover, you will mentor and supervise a team of senior business analysts and analytics managers to deliver valuable insights and enhance operational efficiency. Creating scalable dashboards and automation pipelines to democratize data access across teams will be another crucial aspect of your responsibilities. Fostering a culture of experimentation, A/B testing, and rigorous performance evaluation will be essential in this role. Collaboration with Data Engineering and Product teams to ensure the availability of clean and reliable data infrastructure is also a key component. Your qualifications should include a Bachelor's or Master's degree in Engineering, Statistics, Economics, Mathematics, or a related quantitative field. You should have at least 8-12 years of experience in business analytics, with a minimum of 2-3 years in a leadership position. Prior exposure to high-growth startups, e-commerce, or consumer tech environments is highly desirable. The ideal candidate will possess advanced proficiency in SQL and hands-on experience with data visualization tools such as Tableau, Looker, or Power BI. Familiarity with Python, R, or similar tools for statistical modeling and automation is essential. Expertise in analytical techniques like forecasting, cohort analysis, LTV modeling, and funnel optimization will be advantageous. A deep understanding of business KPIs, particularly in consumer internet or operational analytics contexts, is crucial. Strong leadership skills, effective stakeholder management abilities, and outstanding communication and storytelling capabilities to translate complex data into actionable insights are also required for this role.,

As a Data Analyst at Gallagher, you will play a crucial role in extracting, cleansing, and transforming data into actionable insights that drive business value. Working as an individual contributor, you will maintain strong relationships with stakeholders and be proactive in learning new skills to meet evolving business requirements. Your expertise in data analytics, data visualization, and data modeling techniques will be instrumental in contributing to the success of our team. Your responsibilities will include reviewing and validating customer data, overseeing the deployment of data to the data warehouse, and collaborating with the IT department to implement software and hardware upgrades for leveraging big data use cases. You will monitor analytics and metrics results, implement new data analysis methodologies, and perform data profiling to identify anomalies. Your strong technical skills in MS PowerBI, SQL, MS Excel, ETL packages (Visual Studio or Informatica), Python, and R will be essential in performing these tasks effectively. In addition to your technical skills, you will possess critical-thinking and problem-solving abilities, excellent verbal and written communication skills, and a minimum of 3 years of relevant experience in HR & Talent Data and Analytics domain. Your knowledge of database management, business analysis, and data reporting will be key in driving insights and supporting decision-making processes within the organization. At Gallagher, we value inclusion and diversity as core principles that drive our business forward. We are committed to creating an inclusive work environment where employees" diverse identities, experiences, and talents are celebrated. By embracing diversity in all its forms, we uphold The Gallagher Way and better serve our clients and communities. Equal employment opportunities are extended across all aspects of the employer-employee relationship at Gallagher. We are dedicated to providing reasonable accommodations to qualified individuals with disabilities and promoting a workplace that values sustainability, community support, and the well-being of our employees. Join us in making a meaningful impact and building a rewarding career at Gallagher.,