3917 R Jobs - Page 13

You will be a part of KPMG India, a professional services firm affiliated with KPMG International Limited, with offices in various cities across the country. Your role will involve working on Model Validation and Model Development related to Market Risk. You should have proven experience in market risk, risk modeling, or model validation, and be familiar with assessing the conceptual soundness and methodology of models such as Value at Risk, Counterparty Risk Exposure models, Pricing of derivatives, and Stress Test Models. Your responsibilities will include producing high-quality model validation reports, understanding regulations and guidelines for model risk management, and assessing the appropriateness of input data, model assumptions, and parameters. You will also be required to review outcomes, perform benchmark analysis, and identify model limitations. Proficiency in programming languages like SAS, R, Python, and a fair understanding of SQL, along with proficiency in Microsoft Word, Excel, Visio, PowerPoint, and Latex will be advantageous. As part of KPMG India, you will have the opportunity to work with national and international clients across various sectors, providing industry-focused and technology-enabled services based on global and local industry knowledge and experience of the Indian business environment.,

You are a talented and detail-oriented Business Intelligence (BI) Developer with a focus on developing and creating visually appealing dashboards. Your role is crucial in translating complex data sets into user-friendly visualizations to highlight key insights and trends. You will design, develop, and maintain interactive dashboards using Power BI, working with large datasets to extract, clean, and transform data for consumption. Collaborating with business stakeholders, you will understand their data needs and translate them into dashboard requirements. Regular feedback sessions with end-users will ensure that the dashboards meet business needs effectively. Your responsibilities also include optimizing dashboards for performance and usability, updating them regularly to reflect the latest data and business metrics. To qualify for this role, you should have at least 5 years of experience as a BI Developer, focusing on dashboard development. Proficiency in Power BI, strong SQL skills, and experience with database management systems are essential. You should possess excellent data visualization skills, experience with ETL processes and tools, and familiarity with data warehousing concepts and cloud platforms. Knowledge of programming languages like Python or R, understanding of data governance and security best practices, and the ability to translate business requirements into effective dashboards are also required. Strong analytical, problem-solving, communication, and collaboration skills are crucial for success in this role. A Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is necessary for consideration.,

As a Manager, Behavioral Modeler (Development/Validation) & Researcher Specialist at Genpact, you will be responsible for developing or validating Behavioral Models for banking and financial institutions, focusing on areas such as Financial Crime (Fraud or AML), Marketing Campaigns, and Adjudication models. Your role will involve working closely with the centralized advanced analytics team of banking or financial firms, interacting with various business units, auditors, and model development/validation teams to ensure compliance with Enterprise Modeling Governance standards. Your key responsibilities will include providing analytical support to mitigate risk, assessing data quality for model development, developing machine learning-based models, proposing recommendations to improve monitoring systems, conducting in-depth research on behavioral modeling policies, and contributing to the creation of whitepapers and artifacts. You will be expected to have hands-on experience in developing and validating models, risk management, and applying AI, ML, and Deep Learning techniques using tools such as SAS, Python, and R. The qualifications we seek in you include a Master's degree in a quantitative discipline, experience in statistical modeling, detailed knowledge of data analysis techniques, expertise in SQL, ETL, and strong scripting and automation skills. Additionally, you should possess strong client management, communication, and presentation skills, be self-driven, proactive, and have the ability to work under ambiguity and with minimal supervision. You should also have strong project management experience, the ability to lead projects and teams, and demonstrate expertise in communicating and coordinating across multiple business units. Preferred qualifications/skills include strong networking, negotiation, and influencing skills, as well as prior experience in financial crime and machine learning models. If you are a forward-thinking individual with a hunger for learning and a passion for turning innovative ideas into reality, we invite you to apply for this challenging and rewarding role at Genpact. Please note that this is a full-time position based in India-Kolkata, and the job posting was on Oct 7, 2024.,

The position of Assistant / Associate Professor / Professor in Business and Data Analytics requires a minimum of 8 to 10 years of teaching/research/industry experience, including 2 to 4 years post-Ph.D. The responsibilities include teaching, research, curriculum development, training, consultancy, and institutional development activities. For the role of Assistant Professor, candidates must hold a Masters degree in a relevant discipline with a minimum of 55% marks. Expertise in software like Python, SPSS, C++, R, Jamovi is necessary. A minimum of NET/SET/Ph.D. as per UGC norms is desirable. Strong academic background with teaching aptitude and/or research capability is required. For the role of Associate Professor, candidates must have a Ph.D. in the relevant discipline along with a minimum of 8 years of teaching/research/industry experience, including 2 years post-Ph.D. At least 5 research publications in refereed journals as per UGC/AICTE norms are expected. Expertise in software like Python, SPSS, C++, R, Jamovi is important. For the role of Professor, candidates should have a Ph.D. in a relevant field with consistently good academic records. A minimum of 10 years of teaching/research/industry experience is required, with at least 4 years at the level of Associate Professor or equivalent. A minimum of 10 publications in peer-reviewed or UGC-CARE listed journals, with significant contributions to the field, are essential. Candidates should have a proven track record of mentoring doctoral candidates, leadership in academic administration, and contributions to curriculum design and academic planning. Evidence of securing research grants, conducting executive education, or leading consultancy assignments will be advantageous. Interested candidates can share their CV at sneha@anthroplace.in or contact @9230998560 for further details.,

As a highly experienced Mid-Senior Level Data Scientist with 10-15 years of experience in the banking sector, you will be responsible for leading strategic data analysis initiatives to generate critical insights and trends. Your expertise in developing and deploying advanced predictive models using statistical and machine learning techniques will drive business outcomes and innovation. Additionally, you will be instrumental in implementing data governance frameworks, evaluating cutting-edge technologies, and fostering cross-functional collaboration to align data-driven strategies with organizational goals. Your key responsibilities will include: - Leading strategic data analysis projects on large datasets to identify trends and anomalies crucial for banking operations. - Designing, developing, and deploying advanced predictive models to enhance business outcomes and drive innovation. - Developing and implementing data governance frameworks to ensure data quality, integrity, and compliance with regulatory standards. - Evaluating and implementing innovative technologies to improve data analytics capabilities and support business growth. - Collaborating with various departments to execute data-driven strategies and initiatives. - Mentoring and guiding junior data scientists and analysts to foster continuous learning and innovation. - Preparing and delivering detailed reports and presentations to senior management and stakeholders. - Keeping abreast of industry trends and emerging technologies to enhance analytical capabilities and drive business value. The qualifications required for this role include: - A Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; a Master's or PhD degree is preferred. - 10-15 years of hands-on experience in data science, with a significant portion in the banking or financial services industry. - Proficiency in programming languages such as Python, R, or SQL, and experience with data visualization tools like Tableau, Power BI, or Matplotlib. - Expertise in machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. - Strong understanding of database management systems, data warehousing solutions, and big data technologies. - Superior analytical and problem-solving skills with the ability to interpret complex data and draw actionable insights. - Exceptional written and verbal communication skills to effectively present technical information to non-technical stakeholders and executive leadership. Preferred qualifications for this role include comprehensive domain knowledge of banking processes, relevant certifications, project management experience, and strong soft skills such as strategic thinking and attention to detail.,

As a Data Scientist with 7-8 years of experience, you will be responsible for utilizing your expertise in AWS cloud and machine learning within the health domain. You will primarily work on processing large datasets, conducting exploratory data analysis, and extracting valuable insights to support decision-making processes. Your proficiency in Python or R along with data visualization methods will be crucial for this role. The ideal candidate should have a strong background in data analysis and be adept at handling complex datasets. Familiarity with healthcare or mental health datasets is preferred, along with a solid understanding of database querying and data transformations. Your problem-solving skills and meticulous attention to detail will play a key role in deriving actionable insights from the data. In addition to technical skills, effective communication is essential for this role. You will be required to communicate your findings and recommendations clearly and collaborate with team members effectively. While working independently when necessary, a collaborative attitude will enhance your contribution to the team. Preferred qualifications include prior experience in healthcare or mental health datasets, a background in statistical modeling or machine learning, and familiarity with socio-demographic data analysis. If you are a data-driven professional looking to make a meaningful impact in the healthcare domain, this role offers an exciting opportunity to apply your skills and expertise effectively.,

You are a detail-oriented and analytical Data Analyst responsible for collecting, processing, analyzing, and interpreting large sets of data to provide actionable insights supporting decision-making and enhancing business outcomes. You will gather, organize, and validate data from various sources, clean and preprocess raw data, analyze trends and correlations, and provide insights to stakeholders. Additionally, you will create dashboards and reports, develop data models, collaborate with cross-functional teams, conduct ad-hoc analysis, and stay updated with industry trends for continuous improvement. You hold a Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Proficiency in data analysis tools like Excel, SQL, Python, or R is required, along with experience in data visualization tools such as Tableau or Power BI. A strong understanding of statistical methods, problem-solving skills, and the ability to communicate complex data findings to non-technical stakeholders are essential. You should possess attention to detail, ability to work with large datasets, and work both independently and collaboratively within a team. This is a full-time, permanent position with benefits including health insurance and provident fund. The work schedule includes day shifts, morning shifts, and weekend availability, with a yearly bonus. The work location is in person.,

You are a forward-thinking Digital Solutions Analyst with a strong foundation in product development, AI, and data science. Your role involves driving innovative, data-driven digital solutions across the business by bridging the gap between business needs and technical solutions. Leveraging AI and data insights, you guide product strategy, development, and optimization. You will collaborate with cross-functional teams to identify digital opportunities and define solution requirements. Your responsibilities include translating business needs into functional requirements, supporting end-to-end product development lifecycles, and utilizing AI/ML and data science tools for insights and advanced analytics solutions. Additionally, you will analyze business processes for digital transformation, design dashboards for decision-making, and evaluate third-party tools relevant to digital and AI solutions. To qualify for this role, you should have a Bachelor's or Master's degree in computer science, Data Science, Engineering, Business, or a related field, along with 16+ years of experience in digital solutions, product development, or data analytics. You must be proficient in AI/ML frameworks, data analysis tools, and product management methodologies. Preferred qualifications include experience in cloud environments, familiarity with APIs, and certification in relevant areas. Your soft skills should include strong stakeholder engagement and communication abilities, a curious and innovative mindset, and the ability to manage multiple projects effectively while prioritizing tasks. If you have a passion for emerging technologies and a proactive approach to problem-solving, you are the ideal candidate for this role.,

As a member of our team, you will have the opportunity to contribute to the development of the next generation of data analysts. Your passion for data and teaching will be instrumental in shaping the learning experiences of our students. You will be responsible for delivering comprehensive training on a variety of tools including Python, Advanced Excel, Tableau, Power BI, R, SQL, and ChatGPT. Additionally, you will teach core subjects such as Machine Learning, Programming, and Data Analytics. Guiding students through hands-on projects and problem-solving tasks will be a key part of your role, as well as providing mentorship and career guidance to ensure their job readiness. To excel in this position, you should possess proficiency in the listed tools and topics. Strong communication and interpersonal skills are essential, and previous experience in teaching or training would be advantageous. Your ability to engage and motivate learners will be critical to the success of our programs. This position offers flexibility in terms of job types, including full-time, part-time, and freelance opportunities with a contract length of 24 months. You will be expected to work 8 hours per week, with benefits such as commuter assistance, a flexible schedule, paid sick time, and the potential for a performance bonus. The work schedule is during the day shift and morning shift, with the requirement to work in-person at our designated location. The application deadline for this position is 10/10/2024. If you are ready to make a difference in the field of data analytics and education, we encourage you to apply and be a part of our dynamic team.,

You will be responsible for supporting strategic decision-making by leveraging HR data and analytics. Your role will involve collecting, cleaning, and maintaining HR data, developing dashboards and reports for leadership, and performing trend analysis and predictive modeling to support workforce planning and retention strategies. You will collaborate with HR business partners and functional heads to align analytics with business priorities and support the development of data-driven strategies for recruitment, retention, DE&I, and employee engagement initiatives. Additionally, you will analyze HR processes for inefficiencies, define and track key HR performance metrics, and act as a key liaison between HR, IT, and other business units for seamless integration of HR analytics solutions. You will also be responsible for training HR team members and stakeholders in understanding and leveraging data insights. To qualify for this position, you should have a Bachelor's degree in Human Resources, Business Analytics, or a related field (a Master's degree or MBA is a plus) and at least 4-6 years of experience in HR analytics or a related field. Hands-on expertise with HRIS platforms and analytics tools such as Workday, SAP SuccessFactors, Power BI, Tableau, Python, or R is required. You should possess strong analytical, problem-solving, and data interpretation skills, excellent communication and presentation abilities, and proficiency in MS Excel and data visualization tools. Key competencies for this role include strategic thinking with a business-oriented mindset, high attention to detail and focus on data accuracy, strong project management and organizational skills, and a collaborative approach to working with diverse teams and stakeholders.,

The role of a Data Analyst is crucial in utilizing data to drive business decisions and strategies. You are responsible for collecting, processing, and analyzing data to provide actionable insights that can help improve organizational processes, products, and services. You play a pivotal role in aiding businesses to make informed decisions by interpreting complex data sets and identifying trends. Key responsibilities include collecting and interpreting data from various sources, cleaning and transforming data for analysis, identifying patterns and trends in data sets, developing and maintaining databases, creating visualizations and reports to communicate findings, conducting statistical analysis to support business decisions, collaborating with cross-functional teams to understand data needs, using statistical and data analysis tools to interpret data, developing and implementing data analysis strategies, identifying and recommending process improvements based on data insights, presenting findings to stakeholders and business leaders, ensuring data accuracy and integrity, keeping abreast of industry best practices and technological advancements, assisting in the development of data-driven strategies, and supporting data-driven decision-making processes. Required Qualifications: - Bachelors or Masters degree in Computer Science, Statistics, Economics, Mathematics, or related field - Proven experience as a Data Analyst or related role - Proficiency in SQL for querying and data manipulation - Strong knowledge of data analysis and visualization tools such as Python, R, Tableau, or Power BI - Ability to interpret and analyze complex data from multiple sources - Solid understanding of statistical methods and their applications - Experience in data cleaning and transformation techniques - Excellent analytical and problem-solving skills - Ability to communicate complex findings in a clear and understandable manner - Knowledge of data warehousing and database management systems - Experience in conducting root cause analysis and process improvement - Proven track record of delivering actionable insights from data - Ability to work independently and in cross-functional teams - Strong attention to detail and accuracy - Certifications in data analysis or related fields is a plus Skills required for this role include python, tableau, communication, problem-solving, data cleaning, root cause analysis, data analysis, statistics, SQL, R, data transformation, Power BI, database management, data warehousing, statistical analysis, and data visualization.,

We are looking for a passionate and driven AI Intern to join our dynamic team. As an intern, you will have the opportunity to work on real-world projects, develop AI models, and collaborate with experienced professionals in the field. This internship is designed to provide hands-on experience in AI and machine learning, offering you the chance to contribute to impactful projects while enhancing your skills. We are seeking a talented Artificial Intelligence Specialist to join our dynamic team. As an AI Specialist, you will be responsible for developing, implementing, and optimizing AI models and algorithms. You will collaborate closely with cross-functional teams to integrate AI capabilities into our products and services. The ideal candidate should have a strong background in machine learning, deep learning, and natural language processing, with a passion for applying AI to real-world problems. Responsibilities - Design, develop, and deploy AI models and algorithms. - Conduct data analysis and pre-processing to prepare data for modelling. - Implement and optimize machine learning algorithms. - Collaborate with software engineers to integrate AI models into production systems. - Evaluate and improve the performance of existing AI models. - Stay updated with the latest advancements in AI research and apply them to enhance our products. - Provide technical guidance and mentorship to junior team members. Requirements - Any Graduate / Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred. - Proven experience in developing and implementing machine learning models and algorithms. - Strong programming skills in languages such as Python, R, or Java. Benefits - Internship Certificate - Letter of Recommendation - Performance-Based Stipend - Part-time work from home (2-3 hours per day) - 5 days a week, fully flexible shift,

You are a Jr. Data Scientist with 0-1 year of experience, seeking a Full-time employment opportunity. Your role involves working with real-world data, applying standard and advanced preprocessing and modeling techniques in a collaborative environment. You should have a strong foundation and clear understanding of data science concepts. Your key responsibilities include: 1. Data Ingestion & Preparation: Extract and manipulate data using SQL and Python (pandas), import and clean both structured & unstructured datasets. 2. Data Preprocessing & Feature Engineering: Handle missing values, outliers, and duplicates using statistical and ML techniques, apply noise reduction, data integration, and transformation, perform dimensionality reduction, and ensure data validation. 3. Model Building & Evaluation: Develop machine learning models for varied problem types, tune hyperparameters using cross-validation and assess models using standard metrics. 4. Visualization & Insight Generation: Build dashboards and visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau, conduct statistical analysis to derive actionable business insights. 5. Team Collaboration: Work closely with cross-functional teams to align deliverables with organizational goals, participate in agile discussions and contribute to iterative development. You are required to have: - Bachelors or Masters in Data Science, Computer Science, Statistics, or related field - Proficiency in Python or R, strong SQL skills, and experience handling CSV/Excel data - Understanding and implementation of various machine learning models and their practical applications - Ability to evaluate model performance using appropriate metrics - Experience with data visualization tools and analytical thinking, problem-solving, teamwork, and clear communication skills. If you are ready to make an impact by transforming data into meaningful insights, apply now by emailing your CV to careers@solvusai.com with the subject line: Job ID 202507-DS01.,

As a Data Engineer at SaveLIFE Foundation, you will be a crucial part of the team responsible for creating, developing, and maintaining data-driven solutions that align with our goal of utilizing technology and evidence-based interventions to save lives. This role is suited for individuals who appreciate the dynamics of small organizations, are adept at handling multiple tasks, and thrive in a flexible work environment. Working within a compact team, you will be expected to take on various responsibilities, encourage innovation, and have the chance to create a substantial, tangible difference! Your main duties will involve extensive coding using Python and PHP to automate and enhance data workflows and applications. You will also be tasked with the development and upkeep of PHP-based applications that seamlessly integrate with data pipelines and backend systems. Additionally, you will be responsible for organizing, cleaning, and converting data from diverse sources like SQL databases, APIs, and scraped content, ensuring a high degree of automation wherever feasible. Collaboration with stakeholders to grasp requirements, identify challenges, and devise efficient data solutions to improve decision-making will also be a key aspect of your role. You will contribute valuable insights by leveraging analytical tools and supporting data visualization initiatives. Furthermore, constructing and sustaining data pipelines to facilitate real-time and batch data processing, as well as integrating third-party APIs for data extraction and updates, will be essential tasks. Your involvement in working alongside cross-functional teams to test, deploy, and refine solutions within a production environment will also be crucial. In terms of technical skills, proficiency in Python, SQL, and PHP is a must. You should possess experience in building robust backend systems using PHP frameworks like Laravel, Symfony, or CodeIgniter, as well as in constructing and managing data pipelines in real-world settings. Proficiency in utilizing Python libraries such as requests, scrapy, pandas, and sqlalchemy for ETL (Extract, Transform, Load) operations is crucial. Experience in working with third-party APIs and integrating them into backend applications is also required. A strong understanding of relational databases and data modeling techniques is essential, along with familiarity with tools like Airflow, Kafka, and PySpark for data engineering workflows. Hands-on experience with cloud platforms like AWS for hosting and scaling solutions, as well as familiarity with DevOps tools like Docker and Terraform, is necessary. Proficiency in debugging and optimizing PHP-based systems and database interactions is also expected. Qualifications & Experience: - A Bachelor's degree in Computer Science, Data Science, or a related technical field. - At least 2 years of experience in data engineering, software development, or related roles. Preferred Skills: - Experience with R and R Shiny is considered advantageous. - Familiarity with PHP database interactions (PDO, MySQLi) and knowledge of security best practices is beneficial. Personal Characteristics: - Demonstrated ability to work both independently and collaboratively in a fast-paced, multicultural setting. - Strong communication skills, both verbal and written, in English. - A genuine passion for leveraging technology and evidence-informed solutions to enhance lives. - An open-minded self-starter who excels in tackling new, complex challenges. - A deep dedication to SaveLIFE Foundation's mission of creating a meaningful impact in underserved communities.,

You will be joining a leading AI-driven Global Supply Chain Solutions Software Product Company, recognized as one of Glassdoor's Best Places to Work. As a Data Science Consultant in our Supply Chain Management team, your primary responsibility will be to utilize data-driven insights for optimizing supply chain processes, enhancing decision-making, and achieving business results. Collaborating with cross-functional teams, you will employ advanced data analytics, machine learning, and optimization techniques to improve supply chain efficiency, forecast demand, and address complex operational challenges. Your key responsibilities will include: - Conducting Data Analysis & Modeling: Analyze large, complex datasets related to demand forecasting and supply planning to extract actionable insights. - Implementing Machine Learning Techniques: Apply statistical and machine learning methods to forecast demand, involving data ingestion, visualization, feature engineering, model configuration, fine-tuning, and clear presentation of results. - Utilizing Supply Chain Optimization Algorithms: Deploy optimization algorithms to enhance supply chain efficiency, reduce costs, and improve service levels. - Providing Consulting & Advisory Support: Serve as a subject matter expert in supply chain analytics, offering guidance on best practices and strategies for effective supply chain management. - Driving Process Improvement: Identify inefficiencies within the supply chain and propose data-driven strategies for continuous enhancement. We are looking for candidates with the following qualifications: - Educational Background: Bachelors or Masters degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field. - Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, with a focus on forecasting projects utilizing statistical/ML models and data visualization tools. - Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, along with experience in supply chain management platforms/processes. Strong applied statistics skills are required. - Machine Learning Expertise: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models. - Industry Knowledge: Familiarity with supply chain processes like demand forecasting, inventory management, procurement, logistics, and distribution. - Analytical Thinking: Strong problem-solving abilities to analyze complex data sets and translate insights into actionable recommendations. - Personal Competencies: Ability to work independently or as part of a team in a consulting environment, attention to detail in managing large data sets, and effective communication skills for presenting findings to non-technical stakeholders. If you resonate with our core values and are passionate about fostering diversity, inclusion, value, and equity, we invite you to be a part of our team at Blue Yonder. Explore our Diversity Report and join us in celebrating the differences that make us stronger together.,

You will be joining a global team within Analytics & Information Management (AIM) at Citi, where the focus is on driving data-driven transformation across various functions to provide actionable intelligence for business leaders. As part of this fast-growing organization, you will collaborate with Citi businesses and functions worldwide. Your role as a Client Remediation Data Analyst will involve managing a professional team to integrate subject matter expertise within a specific area. You will be responsible for setting standards for operational processes and developing a deep understanding of how different areas interact within the sub-function. Effective communication and diplomacy skills will be essential for guiding and influencing colleagues across various departments and regulatory bodies. Your responsibilities will include overseeing the volume, quality, timeliness, and delivery of results within your area, as well as contributing to short-term resource planning. In addition, you will play a key role as a Data/Information Management Intermediate Analyst, leveraging your expertise to solve complex problems and integrate specialized knowledge with industry best practices. Your analytical skills will be crucial in interpreting data, identifying issues, and providing valuable insights to support decision-making processes. Collaboration and effective communication will be vital as you work closely with cross-functional teams to analyze client populations and address remediation issues. As part of the CRX team, you will focus on analyzing customer remediation issues for various lines of business within the NAM region, including Cards, Retail Bank, Mortgage, and Ops. Your tasks will involve executing data remediation approaches, assessing the impact on customers and financial outcomes, conducting root cause analysis, and providing support for audit processes. By delivering routine outputs while expanding your knowledge of the broader context, you will contribute to the team's success and uphold Citi's reputation by ensuring compliance with relevant laws and regulations. To excel in this role, you should have at least 5-8 years of relevant experience, strategic thinking abilities, and proficiency in analytic tools such as SAS E-miner, SPSS, and knowledge of tools like R and Python. Familiarity with business analysis, data analysis, and platforms like SAS, SQL, RDBMS, as well as domain knowledge in banking and consumer products, will be advantageous. A Bachelor's or equivalent degree, along with experience in the banking industry, will be beneficial for this position in Decision Management at Citi. This full-time position requires a hybrid working model with a minimum of 3 days in the office per week, following CITI's HWW policy, and adhering to regular local working hours aligned with NAM schedules. Your dedication to excellence and commitment to upholding Citi's standards will play a crucial role in your success within the team. Please note that this job description offers a comprehensive overview of the role's responsibilities and requirements, with additional duties assigned as needed.,

At Oracle Cloud Infrastructure (OCI), the future of cloud computing for Enterprises is being shaped by a diverse team of creators and innovators. Acting with the speed and mentality of a start-up, we maintain the scale and customer-focus of the world's leading enterprise software company. Our values form the bedrock of OCI, guiding us towards achieving excellence. We are dedicated to equity, inclusion, and respect for all individuals. Committed to the greater good in both our products and actions, we prioritize continuous learning and personal growth opportunities. Within our team, we challenge each other to transcend past achievements and collectively build a better future. As part of the AI Data organization, you will engage with fascinating challenges at the convergence of artificial intelligence and cutting-edge cloud infrastructure. Our focus involves developing cloud services utilizing Large Language Models (LLMs) and other generative models to create synthetic data for various applications including text, speech, vision, and multi-modal scenarios. Additionally, we are establishing ML benchmarking standards and frameworks to ensure the highest quality across verticals such as Healthcare and Fusion. You will operate at the IC2/IC3 career level with the following responsibilities: - Design and construct world-class Generative AI Models in text, vision, and multimodal settings for generating synthetic data. - Research and implement cutting-edge techniques such as Fine-tuning and RLHF to align Generative models with specific problem domains. - Develop tools for data acquisition, cleaning, augmentation, model training, and visualization. - Evaluate and implement ML/Deep learning/GenAI models from research papers and other public resources. - Optimize models for production usage and assist in productizing generation scenarios. - Create production code for feature processing, model prediction, serving, and monitoring in real-time and batch scenarios. - Engage in the entire software lifecycle including development, testing, CI, and production operations. - Strike a balance between product feature development and production operational considerations. Minimum Qualifications for this role include: - Ph.D. degree or Masters degree or equivalent experience in computer science, artificial intelligence, machine learning, operations research, or related technical field. - 5+ years with Masters or 3+ years with PhD of applying machine learning to solve real-world problems in industry. - Proficiency in Python or R. - Proficiency with at least one deep learning library (Pytorch, Tensorflow, or Keras) for building and deploying DNN models in production. - Expertise in NLP, Transformers, Large Language Models, and hugging face library. Optimization of LLM training and serving. - Experience in statistical models, Machine Learning solutions, and large scale Deep learning model development and serving across different data domains. - Proficiency in traditional ML libraries like scikit-learn, statsmodels, and pandas. - Track record of delivering large-scale ML solutions for complex business challenges. - Experience in production operations and ensuring quality code deployment with the ability to troubleshoot issues effectively. - Strong communication skills for articulating technical ideas through verbal and written means. At Oracle, we are committed to fostering an inclusive workforce that values diverse perspectives and backgrounds. Our dedication to innovation is fueled by hearing every voice, inspiring us to surpass previous achievements. Operating with integrity for over 40 years, we collaborate with industry leaders across various sectors. We prioritize work-life balance through a competitive suite of employee benefits designed on the principles of fairness and consistency. Our comprehensive benefits package includes flexible medical, life insurance, and retirement options. Employees are encouraged to contribute to their communities through volunteer programs. We are devoted to integrating individuals with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation due to a disability, please contact us at +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Opportunity Employer in the United States.,

As a CONTROL TOWER MANAGER - Operations at India's Fastest Growing Q Commence Company, you are expected to have a minimum of 3+ years of experience and will be based in Bangalore. Your technical skills should include expertise in SQL, Excel, and scripting languages such as R and Python. Additionally, experience with BI tools like Power BI, Tableau, Qlikview, and Google Data Studio will be considered a plus. In this role, you will collaborate with customer support teams to enhance the customer experience, reduce contacts, and streamline operations for increased efficiency. You will also work closely with tech-product teams to develop sustainable analytical or business products. Your responsibilities will involve modeling data to establish reporting infrastructure and dashboards for business process management and data mining. You will be required to closely collaborate with business and product teams to facilitate data-driven decision-making. Furthermore, conducting quantitative analysis to derive actionable insights, promoting data-driven decision-making processes among stakeholders, identifying new business opportunities through data analysis, and encouraging innovative solutions to business problems within your team will be part of your duties.,

The main objective of the job is to provide methodological, research, and evidence-based support to Arpan's Programme monitoring and evaluation design, implementation, analysis, reporting, and dissemination. As part of the role, you will lead internal and external research projects independently, design and pilot quantitative surveys, conduct advanced data analysis using statistical software packages, develop monitoring and evaluation strategies, engage with external research agencies, perform data quality checks, write high-quality reports, conduct literature reviews, and support the current research team. Additionally, you will be responsible for undertaking administrative duties related to Arpan's RME projects. The ideal candidate should possess at least a Master's degree in developmental, statistical, or population studies with graduate-level coursework on econometrics, impact evaluation, and economic development. In terms of experience, you should have demonstrated expertise in quantitative research methods and data analysis, proficiency with relevant software tools such as R, Stata, and Survey CTO, and experience in experimental or quasi-experimental research studies. Experience in mixed methods and qualitative research is preferred, along with the ability to communicate project evaluations effectively to various audiences. Key qualifications for this role include the ability to conduct literature searches, summarize complex academic papers, speak the language of researchers and project management specialists, and deliver high-quality evaluations within budget and timeline constraints. Strong presentation skills, both verbal and written, are essential for this position. The location for this job is Mumbai, and the salary range will be as per market standards.,

Optum is a global organization dedicated to improving health outcomes by leveraging technology to connect individuals with the care, pharmacy benefits, data, and resources necessary for optimal well-being. As part of our team, you will contribute to advancing health equity on a global scale while experiencing a culture that values diversity, inclusion, and professional growth opportunities. We invite you to join us in making a positive impact on the communities we serve through caring, connecting, and growing together. In this role, you will lead the development and implementation of advanced Natural Language Processing (NLP) models and other data-driven AI systems. Your responsibilities will include conducting thorough data analysis, designing intricate machine learning models, and algorithms to derive insights from both structured and unstructured data. Collaboration with cross-functional teams will be essential in deploying these models, monitoring outcomes, and making necessary adjustments based on performance metrics. You will be tasked with preparing detailed reports and technical papers outlining data analysis findings in a clear and concise manner for various stakeholders. Additionally, overseeing data extraction, validation, and summarization processes will be crucial, along with effectively communicating updates and insights to stakeholders in a timely fashion. Your ability to identify potential issues or discrepancies in data analysis or modeling, report them to relevant parties, and ensure prompt resolution will be key to success in this role. Furthermore, compliance with employment contract terms, company policies, and procedures is expected. This includes adhering to directives related to potential work location changes, team reassignments, shift modifications, flexible work benefits, and other business environment adjustments. The Company reserves the right to modify or revoke these policies and directives at its discretion. To qualify for this position, you should hold a degree in a field emphasizing data science or statistical techniques, such as Computer Science or Applied Mathematics, with a focus on Natural Language Processing. A minimum of 3-4 years of experience in Data Science specializing in Machine Learning and NLP is required. Proficiency in Python, R, SQL, and NLP libraries like NLTK, SpaCy, and BERT is essential. Strong communication skills, adaptability to varying shifts, and the ability to present complex data in different formats are also necessary. Leadership capabilities, meeting deadlines, problem-solving skills, and an analytical mindset are attributes that will be valued in this role. This position is based in Mumbai, Maharashtra, India.,

Oliver Wyman is a global leader in management consulting with offices in 70 cities across 30 countries. Combining deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation, our team of 6000+ professionals helps clients optimize their business, improve IT, operations, and risk profile, and accelerate organizational performance. We challenge conventional thinking, consistently deliver innovative solutions, and have a tangible impact on clients" top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. At Oliver Wyman DNA in Gurugram, India, we partner with clients to solve tough strategic business challenges using analytics, technology, and industry expertise. Our goal is to achieve lasting results in collaboration with clients and stakeholders, driving digital transformation, creating customer-focused solutions, and optimizing operations for the future. We value personal and professional growth opportunities and aim to deliver impact globally as an entrepreneurial team. Our mission is to leverage India's high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally. By working alongside Oliver Wyman consulting teams, we aim to achieve sustainable growth and drive meaningful impact for our global client base. Our purpose is to bring together a diverse team of highest-quality talent equipped with innovative analytical tools to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We have open positions ranging from Associate Data Scientist to Director, providing talented professionals with excellent career and growth opportunities. We seek individuals with relevant experience in quantitatively intense areas to join our team. In the data scientist track, you will be responsible for managing and delivering analytics projects, designing analytics solutions, crafting models, and driving scalable high-quality solutions across industries. Your responsibilities include working with global clients, exploring large-scale data, shaping proposals, refining model insights, leading the development of statistical techniques and ML algorithms, and staying updated on emerging data science techniques. To be successful in this role, you should have a Bachelor's or Master's degree in a quantitative discipline, prior experience in data science and analytics, a passion for problem-solving through big data, impactful presentation skills, excellent communication skills, willingness to travel, and proficiency in modern programming languages and machine learning frameworks. You should also have a solid foundational knowledge of mathematical and statistical principles, familiarity with cloud storage and computational frameworks, and a collaborative team player mindset with respect for confidentiality. The interview process will include testing technical proficiency, case study, and team-fit interviews. If you are interested in joining our team, please include a brief note introducing yourself, what you're looking for in the role, and your potential value-add to our team. We are hiring for data and analytics roles across the levels from Associate Data Scientist to Director level for experience ranging from 0-15 years. In addition to the base salary, this position may be eligible for performance-based incentives, and we offer a competitive total rewards package including comprehensive health and welfare benefits.,

An exciting opportunity awaits you as an associate data scientist at Argus Media in Mumbai. Join our expanding Data Science team and collaborate with fellow data scientists, guided by the Head of Data Science India and our global teams. Your primary responsibility will be to support the development of new analytics products, with a specific focus on Petrochemicals. Your role will involve building impactful data science solutions for various business use cases. This will entail conducting research on large, complex data sets to identify meaningful patterns, and utilizing mathematical and computational techniques to clean, manipulate, organize, and model data for actionable insights. You will apply innovative data science, machine learning, and statistical techniques to provide unbiased and quantitative solutions to critical business problems. As an integral part of the team, you will develop, structure, and explore ideas by formulating hypotheses, conducting rigorous testing, performing analyses, creating user prototypes, facilitating UAT, and presenting recommendations for enhancing current business processes. Additionally, you will design user-centric data science/analytics products based on unique business use cases for both internal and external stakeholders, focusing on commodity price dynamics. Key qualifications for this role include a degree in mathematics, finance, statistics, engineering, computer science, or a related field. Preference will be given to candidates with experience in statistics, regression, time series, and econometrics. You should possess 1-2 years of hands-on experience with R and R-Shiny, along with a strong command of SQL and a dedication to open-source solutions. Familiarity with APIs, ETL processes, testing methodologies, exploratory data analysis, and data visualization is essential. We are seeking individuals with a solution-oriented mindset, self-direction, and experience in using version control software. It is crucial that you align with Argus values, including Passion, Integrity, Excellence, and Results. If you are passionate about AI/Machine Learning, proficient in statistics, and skilled in SQL, this role offers an exciting opportunity to contribute to the dynamic field of data science.,

As a Senior Analytics Business Partner at Adobe, you will play a crucial role in Adobes Employee Experience organization, with a primary focus on India while also engaging in global projects and partnerships. Your responsibilities will include building and owning relationships with stakeholders, serving as their main point of contact to the People Analytics team. You will consult with HRBPs, HR COEs, & leaders across the business to develop a deep understanding of current business priorities and ensure that reporting and analysis align with those objectives. As a thought partner to HRBPs and other leaders, you will conduct analyses and literature reviews to provide insights on key business and people questions. Leveraging academic and industry research, analytics, and knowledge of HR trends, you will address practical business challenges and communicate priority HR initiatives and business context to the rest of the team. Your role will involve authoring presentations and communicating insights that drive action and positive impact. You will champion proper data handling to maintain privacy & confidentiality standards, conduct ad-hoc analytical deep dives on complex data, and present findings to non-analytical audiences in a way that drives impact and decision making. Additionally, you will explore, prototype, and iterate on insights from internal data and research and collaborate with research, data science, and business intelligence members of the People Analytics team on complex analyses, modeling, and data transformation. To succeed in this role, you should have a minimum of 10 years of experience working in HR and/or consulting to organizations, with at least 5 years in people analytics. Expertise in I/O psychology or a related field is required. You should possess statistical and analytical proficiency, be adept at storytelling with data and research, and have a strong business acumen. A solid understanding of the HR landscape, functions, processes, challenges, and best practices is essential. You should have excellent ability to influence and build strong relationships with stakeholders, with proficiency in Python or R skills preferred but not essential. An HR Analytics Certification would be an added advantage. Adobe is committed to creating exceptional employee experiences and values diversity and inclusivity in the workplace. If you have a disability or special need that requires accommodation, please contact accommodations@adobe.com or call (408) 536-3015. Adobe also upholds policies to ensure a free and open marketplace for all employees, prohibiting illegal agreements with other companies regarding recruitment or hiring practices.,

The Data Analyst provides analytics and decision support at a corporate level, assisting the executive staff and finance community. You will work on a team responsible for a shared reporting & analytics infrastructure and directly provide reporting, analysis, and insights to the executive teams. Leveraging various tools & analytical capabilities, you will support analysis across different functional areas of the business and their impacts on company financial performance. Gathering/developing required datasets, applying different techniques to analyze/test business hypotheses, and summarizing findings with clear data/method driven substantiation are key responsibilities. Accessing and integrating information/data from various sources into a structured environment for analytics and reporting is essential. Developing, maintaining, and tuning complex databases to ensure data availability and integrity, as well as automating integrations between data sources and processes to expedite information availability, consistency in results, and minimize costs are part of the role. Performing and documenting detailed root cause analyses, investigating and isolating issues in the code base and outlier data affecting key performance metrics are critical tasks. Developing and automating standardized reporting delivery for Executive level presentations or distribution to end users is required. Using a variety of analytical techniques to discover, identify, and conclude analysis reactively to leadership requests and proactively based on curiosity/desire to move the business forward is important. Defining and documenting core business metrics, definitions, and logic by collaborating with business teams, delivering analysis and findings to leadership and business teams, and staying updated on developments in technology, business intelligence, data warehousing, and emerging technologies are key responsibilities. Technical Qualifications: - Ability to extract and integrate data using technologies such as SQL, Snowflake, ODBC, ETL Tools, Oracle, DB2, MS Access - Familiarity with reporting/analytical apps including Oracle BI, Power BI, Tableau, SAS, Cognos, Bus Objects - Ability to automate reporting/analysis and operational processes using Python, R - Presenting information and responding to questions from senior management, department heads, and Finance/IT/Business teams - Attention to quality, reconciliation, and accuracy is crucial due to the audience often being executive level staff Education and Experience: - Bachelor's degree in computer science, Engineering, Business, or related field required (Master's in Analytics or Mathematics a plus) - 2-5 years of systems/business analysis experience; or equivalent combination of education and experience.,

At EY, you will have the opportunity to shape a career that aligns with your unique qualities, leveraging our global reach, supportive environment, inclusive culture, and cutting-edge technology to empower you to reach your full potential. Your distinctive voice and perspective are essential in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also contribute to building a better working world for all. As a Senior Developer with 3 to 5 years of overall experience and at least 3 years of relevant experience, you will assume the role of a Technical Lead specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Your responsibilities will include designing and implementing innovative solutions based on AI and ML technologies. In this role, you will lead a team of Junior Developers, providing guidance and expertise gained from your 3+ years of experience in service delivery. You will be tasked with designing technical specifications for projects involving AI, Machine Learning, Deep Learning, NLP, NLU, and NLG. Furthermore, you will contribute to the development of products and tools utilizing AI technologies to deliver high-value solutions. Your expertise will encompass a range of AI and ML techniques, including deep learning, computer vision, natural language processing, search algorithms, information retrieval, information extraction, probabilistic graphical models, and machine learning. Additionally, you will be responsible for implementing version control strategies and defining best practices for software development. To excel in this role, you must possess excellent computer skills, proficiency in Excel, PowerPoint, Word, and Outlook, as well as strong interpersonal and collaborative abilities. Your command of the English language, both verbal and written, will be crucial in effectively communicating and analyzing solutions to complex problems. Your key responsibilities will include creating technical designs for AI and ML projects, demonstrating a solid understanding of deep learning architectures and algorithms, and leveraging open-source libraries such as Keras, TensorFlow, and PyTorch. You will collaborate with business analysts and consultants to develop robust solutions, utilizing your expertise in data science and machine learning using Python and R. Moreover, your role will involve training and leading technical developers, designing applications using Microsoft technologies like ASP.Net, C#, HTML5, and MVC, leveraging cloud solutions such as Azure or AWS, and working with container technologies like Docker. Your ability to work effectively with global teams and build strong relationships with project stakeholders will be critical to your success. At EY, we are dedicated to building a better working world by creating long-term value for clients, fostering trust in the capital markets, and driving growth and transformation through data and technology. Join our diverse teams across 150 countries as we tackle complex global challenges with innovative solutions and a commitment to asking better questions to find new answers.,