4036 R Jobs - Page 50

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management Multitasking, Collaborative SkillsProven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technical Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

Job Title: Senior Data Scientist Company: Volvo Group India Pvt. Ltd. Location: Bangalore, India Experience: 9 to 13 years Industry: Automotive / Engineering / R&D/Powertrain Engineering Functional Area: Data Science & Analytics Employment Type: Full Time, Permanent Job Summary: Volvo Group India is looking for an experienced Senior Data Scientist to join our Powertrain Engineering team. You will play a key role in driving data-driven decision-making across the product lifecycle, working on real-world problems involving engine calibration, development, and powertrain performance Key Responsibilities: Lead data science initiatives and mentor team members Work across the product lifecyclefrom concept to aftermarket Analyze customer usage and internal data to build predictive and optimization models Develop and deploy machine learning and Generative AI models Collaborate globally with cross-functional engineering and software teams Present insights using visualization tools like Power BI Required Skills & Experience: Masters in Mechanical/Automobile/Electronics/Mechatronics Engineering 7+ years in Data Science with hands-on Python, SQL, Azure, TensorFlow, R, Power BI Experience in engine calibration , powertrain analytics , or engine development Strong background in statistical modeling: regression, clustering, neural networks, time series Familiar with supervised, unsupervised, and reinforcement learning methods Ability to handle large datasets, data storytelling, and team leadership Experience with IoT-based data instrumentation is a plus Why Join Volvo Group? Be part of a global mission for sustainable mobility Collaborate with top talent worldwide Lead real-time innovations in the automotive domain Work in an agile, inclusive, and future-focused environment Interested please share your resume to kathiresaprabu.sanjeevi@volvo.com with the below details Total Experience: Relevant experience in Powertrain/Engine & Data science Current CTC: Expected CTC: Notice period: Current location: Interested to relocate to Bangalore: Yes/No Best Regards, Volvo group recruitment team.

The job objective for the Data Analyst GFM role is to support the Treasury & Markets (T&M) data analytics capability. You will be responsible for sourcing, compiling, designing, and analyzing T&M's structured and unstructured data into a data model framework. This will involve facilitating the targeting of potential business opportunities, identifying process inefficiencies, and understanding overall business trends. You will work within the Data Analytics team (across geographies) to partner and represent across T&M teams to assess business needs and identify opportunities to apply data analytics. Your role will also include assisting in defining the analytical strategy, including analytical approaches, data, and technology requirements. Prioritizing the book of work in accordance with the revenue impact and achieving the yearly data revenue targets set for the market will be crucial. Additionally, you will be responsible for streamlining data deliverables in coordination with multiple business stakeholders across the bank and in alignment with the VUCA business environment. Your tasks will involve data back-end tasks such as data extraction, transformation, and loading, as well as using various techniques for data cleansing. You will utilize appropriate machine-learning/deep learning/statistical methods to develop advanced data analytics models to uncover irregular and hidden patterns and predict business leads, risk events under comprehensive scenarios. Furthermore, you will be expected to create effective data visualization via BI tools (i.e., Tableau, MS Power BI, Qlik suite) of results to present key findings to senior management and/or other stakeholders with actionable insights. Requirements: - General understanding of Financial Markets, with emphasis on Equity, FX, Credit, and Interest Rate cash and derivative products - Expert problem-solving skills, strong attention to detail, creative mindset, and interest in data analytics - Hands-on experience in Python and/or R, SQL, or other statistical program languages and/or experience in using commercial statistical analytics tools, e.g., SAS, SPSS - Extensive experience in data visualization tools, preferably Tableau - Independent self-starter with the ability to multitask and efficient project management - Effective interpersonal and organizational skills - Good command of English - Have a can-do attitude If you are seeking a role where you can contribute to the data analytics capability of Treasury & Markets while leveraging your expertise in financial markets and data analytics, we encourage you to apply. Join our dynamic environment that offers a competitive salary and benefits package, along with professional growth opportunities that recognize your achievements.,

You will be responsible for supporting clients in capturing, validating, and curating cost data at various project stages. This includes reviewing cost data provided by contractors, ensuring correct allocation against the clients" Work Breakdown Structure, and validating appropriate tags and yardsticks. You will manage the cost database to ensure its accuracy, normalize for inflation, and accommodate asset standard changes. Additionally, you will assist in analyzing project data and technical drawings, allocating costs to assets, and developing databases for cost and carbon data capture. Collaboration with project managers, engineers, and stakeholders will be crucial to ensure accurate data collection and reporting. You will prepare detailed reports and presentations on cost and carbon, identify trends to support decision-making, and ensure compliance with industry standards and regulations. Continuous improvement of data capture processes and methodologies will also be part of your responsibilities. Qualifications, Skills, And Experience: - Bachelor's degree in engineering and a Master's Degree in Environmental Science (Preferable) or equivalent - Strong written and verbal communication skills - Proficiency in data analysis tools and software such as Excel, SQL, Python, PowerBI, and R - Excellent attention to detail and accuracy - Ability to establish and maintain effective working relationships with clients and colleagues - Knowledge of industry standards and regulations related to cost and carbon reporting is a plus - Relevant experience in Water supply system, Wastewater drainage system, etc - Sound knowledge in Cost and Contracts for large-scale Water supply projects - Proven experience in data analysis, cost allocation, and carbon reporting - Ability to follow prescriptive processes Skills required for this role include cost allocation, Excel, carbon accounting, PowerBI, data analysis, reporting, SQL, Python, and proficiency in tools like Tableau and R.,

As a Business Intelligence (BI) Developer / Power BI Developer at Mold-Masters, you will be responsible for developing Power BI reports and interactive dashboards to support various internal departments. Your role will involve understanding the business requirements, translating them into technical specifications, and creating effective data visualizations that aid in decision-making processes. Your key responsibilities will include collaborating with internal departments to define reporting requirements, designing, developing, and maintaining Power BI reports and dashboards, converting business needs into technical specifications for BI reporting, ensuring the accuracy and functionality of data visualizations and reports, as well as providing training and support on Power BI tools. Additionally, experience with R or Python for advanced data analysis, familiarity with SharePoint and Microsoft Power Platform, and staying informed about the latest trends in BI and data visualization are desirable skills for this role. To qualify for this position, you should hold a Bachelor's degree in computer science, business information systems, or a related field, along with extensive experience in BI reporting, especially with Power BI, ranging from 3 to 5 years. Strong skills in data modeling, data visualization, and advanced SQL are essential, as well as knowledge of R or Python and basic web development skills such as HTML, CSS, and JavaScript. Excellent written and spoken English proficiency is required, with German language skills considered a plus. The ability to communicate complex data concepts in simple terms and being a collaborative team player with strong analytical skills are also key qualifications for this role. Mold-Masters is a global leader in the plastics industry, specializing in designing, manufacturing, distributing, selling, and servicing highly engineered and customized plastic processing equipment and systems. With over 50 years of experience, Mold-Masters has built a reputation on delivering innovative technologies that optimize production, enhance molded part quality, increase productivity, and lower part cost. As an Operating Company of Hillenbrand, Mold-Masters is dedicated to unlocking operations" full potential through its broad range of solutions. Hillenbrand (NYSE: HI) is a global industrial company that provides highly-engineered, mission-critical processing equipment and solutions to customers in over 100 countries worldwide. Guided by its Purpose "Shape What Matters For Tomorrow," Hillenbrand aims to pursue excellence, collaboration, and innovation to consistently shape solutions that best serve its associates, customers, communities, and other stakeholders. To learn more about our company, visit www.Hillenbrand.com.,

The opportunity We are looking for a Senior Consultant/Consultant Analytics with expertise in one of the industries across Banking, Insurance. Your key responsibilities will include developing Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sector, project management, client management, and supporting business development and new analytics solution development activities. Skills and attributes for success To be successful in this role, you should have domain expertise in either Banking or Insurance. You should be proficient in statistical modelling including Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development, etc. Hands-on experience in at least one Statistics tool such as SAS, Python, or R is required. Experience in Tableau and Qlikview would be a plus. Data mining experience in Clustering and Segmentation, as well as knowledge of Machine learning and Python, would also be beneficial. To qualify for the role you must have A B Tech degree from a top-tier engineering school or a Masters in Statistics / Economics from a top university. You should have a minimum of 6 years of relevant experience, with at least 1 year of managerial experience for the position of Senior Consultant, 1 year for Associate Consultant, and 3 years for Consultant. Ideally you'll also have Strong communication, facilitation, relationship-building, presentation, and negotiation skills. You should be highly flexible, adaptable, and creative, with the ability to interact comfortably with senior executives both within the firm and at client sites. Strong leadership skills and supervisory responsibility are also desired. What we look for We seek individuals with the ability to work collaboratively across multiple client departments while adhering to commercial and legal requirements. You should have a practical approach to problem-solving and be able to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and offers flexible working arrangements to help you achieve a balance between your career and personal priorities. While travel may be required for client-facing roles, our flexible working arrangements aim to support a healthy lifestyle balance. About EY EY is a global leader in assurance, tax, transaction, and advisory services. We are dedicated to building a better working world through our culture of providing training, opportunities, and creative freedom to our employees. Our commitment to hiring and developing passionate individuals is at the core of our ambition to be the best employer by 2020. If you meet the criteria outlined above and can confidently demonstrate your qualifications, please contact us as soon as possible.,

The Artificial Intelligence (AI) Engineer and Data Scientist position at CIS requires a professional with 2.6 to 6 years of experience and a Bachelor's or Master's degree in computer science, mathematics, or a related field. As a machine learning engineer, you will need to demonstrate proficiency in AI, ML, NLP, LLM, OpenCV, deep learning, generative AI, and computer vision. Additionally, you should possess expertise in TensorFlow and OpenCV for developing and deploying machine learning and computer vision models. Your responsibilities will include designing and developing machine learning algorithms, optimizing existing libraries and frameworks, collaborating with various teams on production systems, and ensuring accurate user recommendations. You will be expected to study data science prototypes, run machine learning tests, and construct optimized data pipelines. Familiarity with server-side deployment and a deep understanding of probability, statistics, and algorithms are essential for this role. The ideal candidate should have impeccable analytical and problem-solving skills, extensive knowledge of machine learning frameworks like Keras or PyTorch, and familiarity with Python, Java, and R. Strong communication, collaboration, time management, and organizational skills are also crucial. A passion for continuous learning, innovative thinking, and a general understanding of building machine learning systems are highly valued. This position is based in Indore, Madhya Pradesh, and requires on-site work. You should be willing to work at various global locations, including the USA, UK, Australia, and the Middle East, with on-site benefits. If you meet the qualifications and are enthusiastic about advancing in the field of artificial intelligence and data science, we encourage you to apply from the specified locations. (Note: The job description provided is a standard summary description. Please refer to the original job description for complete details and requirements.),

As a Senior Data Engineer at Assent, you will play a critical role in advancing data engineering practices and serving as a hands-on technical expert. You will contribute significantly to the vision and execution of data engineering efforts, ensuring the development of secure, robust, scalable, and high-performing data platforms. Your role involves driving key technical initiatives, collaborating on architectural decisions, and executing complex data engineering tasks to align data infrastructure with Assent's business goals. You will actively participate in the design, development, and implementation of sophisticated data solutions while offering mentorship and technical guidance to other engineers. Your contributions will have a broad impact across the organization as you champion best practices, innovate to enhance data engineering capabilities, and work directly on the technical solutions required to advance data systems. Key Requirements & Responsibilities: - Contribute to the strategic vision for data engineering and participate in the architectural design and development of new and complex data solutions, focusing on scalability, performance, and hands-on implementation. - Design and implement new data systems and infrastructure to ensure the reliability and scalability of data systems by actively contributing to day-to-day engineering tasks. - Influence key decisions regarding the data technology stack, infrastructure, and tools while actively engaging in hands-on engineering efforts in the creation and deployment of new data architectures and workflows. - Set coding standards and best practices for the Data Engineering & Operations team, conducting and participating in code reviews to maintain high-quality, consistent code. - Work closely with database developers, software development, product management, and AI/ML developers to align data initiatives with Assent's organizational goals. - Collaborate with team members to monitor progress, adjust priorities, and meet project deadlines and objectives. - Identify opportunities for internal process improvements, including automating manual processes and optimizing data delivery. - Proactively support peers in continuous learning by providing technical guidance and training on data engineering development, analysis, and execution. Qualifications: Your Knowledge, Skills, and Abilities: We strongly value your talent, energy, and passion. It will be valuable to Assent if you have the following qualifications: - Degree in a related field and 7+ years of data engineering experience. - Proficiency in tools and languages, such as AWS, dbt, Snowflake, Git, R, Python, SQL, SQL Server, and Snowflake. - Strong project management skills and the ability to communicate complex concepts effectively. - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. - Adept at conveying complex data insights through a robust understanding of data management systems, warehouse methodologies, data quality standards, data modeling techniques, governance protocols, and advanced analytics. - Familiarity with agile work environments and scrum ceremonies. - Strong business acumen and experience in aligning data initiatives with business objectives.,

You will be responsible for conducting market scanning and industry analysis to identify opportunities for cost reduction and process improvements. You will monitor and manage supplier performance, ensuring adherence to contractual obligations and service-level agreements. Developing and maintaining strong relationships with key suppliers and stakeholders will be a key part of your role. You will also create and maintain category strategies, project procurement plans, and supplier scorecards. Collaborating closely with internal teams such as Sales, Presales, GSO, OM, Finance, and Legal to align procurement activities with business goals will be essential. Utilizing Six Sigma and Lean methodologies to design, document, and implement optimized end-to-end procurement processes and SOPs is expected. You will be required to implement systems to track and report on procurement KPIs and metrics. Creating detailed reports and dashboards using tools like Power BI, Tableau, or QlikView to communicate insights effectively will be part of your responsibilities. Performing data analysis using tools such as Excel, SQL, Python, or R (preferred but not mandatory) and translating data insights into actionable recommendations to support business strategy and continuous improvement will also be expected. Additionally, you will partner with cross-functional teams to support strategic initiatives with data-driven analysis. Preferred Skills & Qualifications: - Bachelors degree in Procurement, Supply Chain Management, Business, Engineering, or a related field. - 8-12 years of experience in procurement, strategic sourcing, or supply chain analytics. - Strong knowledge of supplier management, contract compliance, and procurement planning. - Hands-on experience with Lean/Six Sigma process improvement methodologies. - Proficiency in data visualization tools (Power BI, Tableau, QlikView). - Advanced proficiency in Excel; familiarity with SQL, Python, or R is a plus. - Excellent communication, stakeholder management, and analytical skills.,

Build your career in the Data, Analytics and Reporting Team, working within the world's most innovative bank that values creativity and excellence. As a Quant Analytics Analyst within the Data Analytics and Reporting Team (DART), you will be responsible for delivering Management Information System (MIS) solutions and supporting daily operations. Your key responsibilities will include supporting day-to-day operations/tasks related to a functional area or business partner, ensuring projects are completed according to established timelines, assembling data, building reports/dashboards, identifying risks and opportunities along with potential solutions to unlock value. To excel in this role, you should have professional experience in a combination of business and relevant MIS/technology/reporting experience. You should possess a certain level of understanding of business operations and procedures and the ability to connect them with business fundamentals. Additionally, you must have hands-on experience and knowledge of querying different databases and other source systems for data analysis required for reporting. Proficiency in creating reports/business intelligence solutions using tools such as Tableau, Cognos, Python, Alteryx, SAS, etc., is essential. Your general desire and aptitude to learn and adapt to new technologies, openness to different perspectives, and ability to anticipate and resolve customer and general issues with a sense of urgency are crucial for this role. Ideally, you should have prior experience in reporting and data analysis development with the ability to meet stringent deadlines. Proficiency in writing/understanding SQL (PL/SQL, T/SQL, PostgreSQL, or similar) and hands-on data analysis experience are also required. Preferred qualifications for this role include a Bachelor's degree or equivalent. Prior experience with call center technology data (Avaya CMS, IVR, Aspect, eWFM), Fraud Operations, CTO Operations, and other Consumer and Community Banking departments is desired. Experience in creating and deploying reports with a BI tool (such as Tableau, Microstrategy, Cognos, SSRS), sourcing and compiling data from a tool with ETL capabilities (such as SSIS, Alteryx, Trifacta, Abinitio, R, SAS), and knowledge of R/Python, Anaconda, HIVEQL, and exposure to Cloud Database will be advantageous for this role.,

MediaMint is looking for a strategic and visionary Functional Lead for Delivery Excellence & Process Transformation. In this role, you will be responsible for modernizing legacy operations, eliminating client escalations, and driving data-led transformation initiatives across the global delivery ecosystem. You will play a key role in redesigning operational workflows, implementing automation and AI, and establishing performance governance frameworks for over 2500 delivery resources across Ad Operations, SEO, Programmatic, and Campaign Management service lines. The ideal candidate will possess expertise in process excellence, digital marketing operations, AI-led transformation, and cross-functional change leadership. Reporting directly to the SVP Operations/CDO, you will collaborate closely with technology, client services, and delivery leaders. Key Responsibilities: 1. End-to-End Process Transformation: - Utilize Lean Six Sigma methodologies to re-engineer client-facing workflows and aim for a 30%+ reduction in non-value-added activities. - Standardize SOPs, quality control measures, and compliance frameworks across 15+ digital marketing functions. 2. Data-Driven Performance Governance: - Develop real-time dashboards to monitor operational KPIs by service line, client, and geography. - Enhance data infrastructure to ensure 100% transaction-level accuracy in client-facing reporting. 3. Automation & AI Integration: - Identify and implement automation solutions using Python scripts, RPA tools, and open-source AI frameworks to automate at least 20% of manual workflows. - Pilot generative AI applications in campaign QA, anomaly detection, SOP generation, and insights summarization. 4. Business Excellence Framework: - Define and implement KPIs for workflow efficiency, error rates, SLA compliance, and client satisfaction. - Conduct monthly operational reviews to identify performance gaps and prevent client escalations. 5. Team Leadership & Capability Building: - Lead and mentor a team of 57 Business Analysts in executing audits, root cause analysis, and process optimization. - Train 250+ operational leads on lean methodologies, data-driven operations, and client maturity frameworks. - Drive cultural adoption of continuous improvement through engagement with operations leadership. Core Competencies: - Technical Mastery: Lean Six Sigma Black Belt, SQL, Power BI, Google Ads, RPA tools. - Leadership & Strategic Impact: Change agent, understanding of client maturity models, bridging Operations, Technology, and Client Services. - Execution Rigor: Advanced analytics capability, scalable mindset for global deployment. Qualifications: - Education: MBA or Masters in Operations, Business Analytics, or Data Science. - Experience: 10+ years in Business Excellence, Process Transformation, or Operational Strategy with 5+ years in third-party delivery environments. - Domain Exposure: Preferred background in Media, Retail, or Digital Marketing client operations. Certifications: - Lean Six Sigma Black Belt / Master Black Belt. - PMP / Agile Scrum. - Certification in Generative AI or Automation Frameworks (preferred). Why Join MediaMint - Own the Transformation: Shape the operational foundation of a global DMaaS organization. - Tech-Driven Impact: Lead innovation through AI, automation, and process re-engineering. - Leadership Visibility: Engage directly with the C-suite and global clients in Retail, Media, and Entertainment sectors.,

As a Strategic Advisor in HR Analytics at Ameriprise India LLP, you will serve as a key consultant to senior HR and business leaders, utilizing data-driven insights to influence workforce planning, talent strategies, and organizational effectiveness. Your role will involve leading data management efforts, ensuring adherence to data privacy and security protocols, and safeguarding sensitive data. Additionally, you will be responsible for supporting various incoming requests, such as research, analysis of business needs, problem-solving, issue tracking, and resolution, as well as executing HR initiatives to promote data-based decision-making among HR and business clients. Your primary responsibilities will include delivering products by generating detailed reporting and analytics using multiple systems in response to requests from business leaders or HR staff. You will collaborate with requesters to validate business needs, clarify requirements, and facilitate data-driven decisions. Furthermore, you will identify data sources, develop and test queries, verify data quality for accuracy, and deliver outputs within specified timelines. Ensuring the approval process is followed and maintaining data privacy through security protocols will also be part of your role. Operational efficiency will be a key focus, where you will translate reporting requirements into impactful dashboards and reports that facilitate information sharing across the organization. Additionally, you will identify opportunities to streamline processes, enhance reporting efficiencies, and act as a subject matter expert for HR data and reporting. Supporting HR-related projects, identifying key issues, collaborating on problem-solving, and escalating critical matters as needed will be essential to drive organizational support and change. You will be responsible for data management and governance by identifying data integrity issues, defining audit procedures, designing audit queries, performing scheduled audits, and analyzing employee data within HRMS. Any identified data or system issues will be escalated for resolution, and you will independently troubleshoot and research system challenges using statistical programming and data visualization software as required. As a people leader, you will provide systems, programs, training, and guidance for the development of team members, mentoring them on technical and communication skills. Sharing best practices and key learnings within the Human Capital Insights function, acting as a liaison across teams, HR Business Partners, and HR COEs, and offering leadership on cross-functional projects will be vital aspects of your role. To qualify for this position, you should have a minimum of 7 years of experience in HR analytics with a proven track record in strategic consulting. Proficiency in Workday HCM, advanced analytics techniques using tools like Python, R, or SQL, and experience with data visualization platforms such as Power BI or Tableau are essential requirements. Strong analytical, problem-solving, and data storytelling skills, along with the ability to manage multiple priorities while ensuring high-quality work, are also necessary for this role. A strong willingness to learn new concepts, ideas, and skills is highly valued. Preferred qualifications include certification in Workday Reporting or Workday Pro, as well as knowledge of regulatory reporting and GDPR guidelines. Join Ameriprise India LLP, a U.S.-based financial planning company, and be part of a collaborative and inclusive culture that rewards contributions and promotes personal and professional growth. Make a difference in the community while working with talented individuals who share your passion for excellence. If you are driven, talented, and seeking a fulfilling career with a company that prioritizes ethics and employee well-being, take the next step and build your career at Ameriprise India LLP.,

As a key player in the treasury operations market in Asia, DBS Global Financial Markets (GFM) offers a wide range of capabilities including trading, structuring, and sales in various financial products such as foreign exchange, interest rates, money market, credit, equity, commodities, bonds, derivatives, and securities. With a strong presence in regional markets, we actively engage in market activities to innovate, structure, originate, and distribute diverse products. Our extensive network across Asia and our growing franchises focused on the Asian market enable us to expand our product offerings and enhance product penetration. Our team of specialists works collaboratively across our expanding branch network to provide clients with a comprehensive range of products and exceptional service levels for their investment and hedging needs in global markets. In this role, you will be part of the Data Analytics team, working across different geographies to collaborate with Trading & Markets (T&M) teams, identify business requirements, and leverage data analytics for strategic decision-making. You will assist in defining the analytical strategy, including approaches, data sources, and technology needs, to support business objectives effectively. Key responsibilities include prioritizing tasks based on revenue impact, achieving data revenue targets, coordinating data deliverables with multiple stakeholders, and managing data-related tasks such as extraction, transformation, loading, and cleansing using various techniques. To excel in this role, you should have a solid understanding of Financial Markets, particularly in Equity, FX, Credit, and Interest Rate products. Strong problem-solving skills, attention to detail, a creative mindset, and a keen interest in data analytics are essential. Hands-on experience in programming languages like Python and/or R, SQL, or statistical tools such as SAS or SPSS, as well as proficiency in data visualization tools like Tableau, are required. We are looking for an independent self-starter with excellent multitasking abilities and efficient project management skills to drive the success of our Data Analytics initiatives within the organization.,

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

At PwC, the focus of individuals in data and analytics engineering is to utilize advanced technologies and techniques for designing and developing robust data solutions for clients. They are instrumental in converting raw data into actionable insights, facilitating informed decision-making, and propelling business growth. Those specializing in data science and machine learning engineering at PwC concentrate on employing advanced analytics and machine learning techniques to extract insights from extensive datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to tackle intricate business challenges. You will have a significant role in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that steer strategic decisions for both clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams, you will assist in developing impactful, commercially relevant insights to integrate into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred Knowledge and Skills: Demonstrates in-depth abilities and a proven track record of success in managing efforts to identify and address client needs: - As a critical member of a team of Retail and Consumer data scientists, you will maintain and analyze large, complex datasets to uncover insights related to consumer sentiment, future business trends/challenges, cyclical consumer events (e.g., holidays, back-to-school, Super Bowl), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Assist in identifying new, cutting-edge datasets to enhance the firm's differentiation among competitors and clients. - Assist in building predictive models and data-led tools. - Design and implement experiments (e.g., A/B testing, market basket analysis) to assess the effectiveness of new approaches and drive continuous improvement. - Collaborate with the US team to translate analytical findings into actionable recommendations and compelling narratives. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Stay abreast of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Experience in managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills, proficiency in Python and/or R for data manipulation and modeling. - Experience in applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Previous work involving pricing optimization, inventory forecasting, or omnichannel analytics.,

The role of Senior Consultant/Consultant Analytics at EY presents an exciting opportunity for individuals with expertise in the Banking or Insurance industries, although it is not mandatory. In this position, you will be responsible for developing Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sectors. Your key duties will include project management, client management, supporting business development, as well as contributing to the development of new analytics solutions. To excel in this role, you should have domain expertise in either Banking or Insurance, statistical modelling skills (such as Logistic/Linear regression, GLM modelling, Time-series forecasting, Scorecard development), and hands-on experience in statistical tools like SAS, Python, and R. Additionally, experience in Tableau and Qlikview is desirable. Proficiency in data mining techniques like Clustering and Segmentation, as well as knowledge of machine learning and Python, will be advantageous. To qualify for this position, you should hold a B Tech from a top-tier engineering school or a Masters in Statistics/Economics from a leading university. A minimum of 6 years of relevant experience is required for Senior Consultants, with at least 1 year of managerial experience. For Associate Consultants, a minimum of 1 year of experience is necessary, while Consultants should have a minimum of 3 years of experience. Ideal candidates will possess strong communication, facilitation, relationship-building, presentation, and negotiation skills. They should also be highly flexible, adaptable, creative, and comfortable interacting with senior executives both within the firm and at client organizations. Strong leadership skills and supervisory experience are highly valued. EY is looking for individuals who can collaborate effectively across various client departments, uphold commercial and legal standards, and offer practical solutions to complex problems. The organization is committed to creating an inclusive work environment and is open to flexible working arrangements that support employees in achieving a healthy work-life balance. As a global leader in assurance, tax, transaction, and advisory services, EY is dedicated to fostering a culture that empowers its employees to make a positive impact. By providing training, opportunities, and creative freedom, EY aims to create a fulfilling work experience for its team members. If you believe you meet the qualifications outlined above and are eager to contribute to a dynamic and forward-thinking organization, we encourage you to get in touch with us at your earliest convenience.,

You should have a minimum of 5-7 years of experience in roles related to Data, Analytics, Data Science, or RPA. Your expertise should include a strong knowledge of Python, R, and SQL, with familiarity in Java or VB script and object programming. Additionally, you should have experience in using Advanced Excel and possess technical skills in data models, data mining, and segmentation techniques. Your role will involve driving automation projects, showcasing a strong analytical mindset, logical thinking ability, good presentation, and communication skills. Knowledge or experience in general insurance for Motor and health products would be advantageous. Responsibilities include data collection, processing of structured and unstructured datasets, automating data cleaning and capture processes, analyzing information to identify trends and patterns, and presenting insights using data visualization techniques. You will collaborate with engineering/IT and business teams, prepare portfolio performance reports, incorporate feedback from business, enrich reports, train team members on new open-source platforms, and contribute to the execution of the advanced analytics roadmap of the organization. Qualifications: - Bachelors or masters in engineering, Mathematics, Statistics, or Actuarial Sciences About Us: At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. We provide an environment focused on openness, inclusion, trust, and respect, offering a wide range of roles and a workplace that nurtures turning your passion into a rewarding profession. Liberty Mutual has been recognized as a Great Place to Work by Great Place to Work US for several years. We have also been selected as one of the 100 Best Places to Work in IT on IDG's Insider Pro and Computerworld's 2020 list. Forbes has named us one of America's Best Employers for Women, New Graduates, and Diversity. Our commitment to diversity and inclusion is paramount. We value your hard work, integrity, and commitment to improvement and prioritize your well-being by offering benefits that support your life. Visit our Benefits page to learn more about our offerings. Location: Delhi, DL, India,

As the Chief AI Specialist/Analyst at Agrosaf Pharmaceuticals, you will play a vital role in leading the development and implementation of AI-driven solutions to revolutionize operations, enhance decision-making processes, and foster innovation in the pharmaceutical sector. Your responsibilities will include developing and deploying models to optimize sales, marketing, and supply chain operations, analyzing extensive datasets to derive actionable insights, collaborating with diverse teams to integrate AI solutions into existing platforms, researching cutting-edge AI technologies relevant to the pharmaceutical industry, monitoring AI model performance to ensure adherence to company standards and ethical guidelines, as well as providing training and support to team members on AI tools and techniques. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields, possess a minimum of 2-3 years of experience in ML model development and data analysis, demonstrate proficiency in programming languages such as Python, R, or Java, exhibit a strong understanding of AI frameworks like TensorFlow, PyTorch, or Scikit-learn, be familiar with data visualization tools like Power BI or Tableau, and showcase a problem-solving mindset with acute attention to detail. Effective communication and teamwork skills are essential for success in this position. In return, we offer a competitive salary ranging from 35,000 to 40,000 per month, based on your experience and expertise, the opportunity to work in a rapidly growing pharmaceutical company that leverages cutting-edge technology, avenues for professional growth and continuous learning, and a welcoming and collaborative work environment. If you are passionate about leveraging AI to drive innovation in the pharmaceutical industry, we encourage you to reach out to us by sending your CV directly to hr@agrosafpharmaceuticals.com or contacting us at 6396857901. Join us at Agrosaf Pharmaceuticals, where you can make a significant impact and be part of a team dedicated to shaping the future of healthcare. Thank you.,

Mente Consultancies Pvt. Ltd. is seeking Machine Learning and Programming interns for their office in New Delhi. The internship duration ranges from 3 to 6 months, with a 2-week induction training period included. During the internship, you will be compensated for your work. This is an on-site position. As an intern, you will be responsible for: - Completing programming assignments utilizing Java, Python, R, and SAS - Assisting project teams in the design, development, and testing of software programs or ML algorithms To be considered for this role, you must have the following qualifications: - Graduation in any Science or Engineering stream (Please note that current students are not eligible to apply) - Proficiency in programming languages, with a strong emphasis on Python or Java - Excellent problem-solving abilities - Demonstrated capability to work towards achieving the final product - Completion of an undergraduate or postgraduate degree Please be aware that a select few candidates may receive a job offer from Mente Consultancies Pvt. Ltd.,

As a Capabilities and Insights Analytics Analyst at McKinsey, you will have the opportunity to drive lasting impact and build long-term capabilities with clients in the healthcare industry. Thriving in a high-performance culture, you will embrace challenges, learn from setbacks, and demonstrate resilience in finding innovative solutions. Your journey at McKinsey will be supported by resources, mentorship, and opportunities that will accelerate your growth as a leader. Colleagues at all levels will invest in your development, ensuring you receive the guidance and exposure needed to excel. Through structured programs and a culture of continuous learning, you will be empowered to take ownership of your development and embrace feedback for rapid growth. From day one, your voice will be valued, and your ideas will contribute to delivering exceptional results for clients. Embracing diverse perspectives and collaborating with colleagues from around the globe, you will work towards achieving the best outcomes for clients while fostering creativity and innovation. In this role, you will be focused on healthcare value, aiming to improve the accessibility and affordability of healthcare for billions of people worldwide. By delivering high-quality analytical insights and leveraging advanced analytics tools, you will guide decision-making for clients, driving positive impact in the healthcare industry. Your responsibilities will include owning data models, developing healthcare content expertise, and honing project management and client communication skills. Collaborating with colleagues from various domains, you will contribute to solving complex business problems and driving innovation within the organization. To excel in this role, you should have a bachelor's degree in business or engineering, along with at least 2 years of relevant experience. Proficiency in working with large databases, data visualization tools, and statistical analysis is preferred, while knowledge of SQL and additional programming languages such as R, Python, and Tableau would be beneficial. Strong problem-solving skills, entrepreneurial drive, and excellent communication abilities are essential for success in this dynamic and collaborative environment. Join McKinsey to be part of a global community dedicated to making a difference in the healthcare industry, where your skills and contributions will have a meaningful impact on shaping a better future for healthcare worldwide.,

You will be part of an inclusive, adaptable, and forward-thinking organization at NTT DATA as a SQL Developer in Bangalore, Karntaka (IN-KA), India (IN). Your responsibilities will include developing complex queries with strong SQL knowledge, utilizing ETL Tools for data extraction, and performing data cleansing, validation, and pre-processing for structured and unstructured data. You will be involved in creating insurance reports, visualizations, dashboards, analysis, and analytics, particularly focusing on Life Insurance. Proficiency in tools such as SQL, EXL, R, and Python will be essential for this role. NTT DATA is a $30 billion global innovator in business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in over 50 countries and a partner ecosystem including established and start-up companies. The services provided by NTT DATA encompass business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a major provider of digital and AI infrastructure worldwide and is part of the NTT Group, which invests over $3.6 billion annually in R&D to support organizations and society in confidently transitioning into the digital future. Visit NTT DATA at us.nttdata.com for more information.,

Agoda is an online travel booking platform that connects travelers with a global network of 4.7M hotels, holiday properties, flights, activities, and more. As part of Booking Holdings and based in Asia, Agoda boasts a diverse team of 7,100+ employees from 95+ nationalities across 27 markets. The work environment at Agoda is characterized by diversity, creativity, and collaboration, fostering a culture of experimentation and ownership to enhance customer experiences around the world. The purpose of Agoda is to bridge the world through travel, believing that travel enriches lives, fosters empathy, understanding, and happiness, and brings people and cultures closer together. The team at Agoda is driven by a passion to make a positive impact by leveraging innovative technologies and strong partnerships to make travel easy and rewarding for everyone. The Performance Marketing Team at Agoda is a leading force in online marketing, focusing on data-driven strategies to enhance the lifetime value of customers. Comprising skilled analysts, marketing strategists, and data scientists, the team works on developing scalable marketing programs across various channels. The team is led by experienced professionals in data science, product, and strategy, creating an environment that thrives on data, creativity, and technology. There is a strong emphasis on learning and growth, with opportunities to collaborate with experts from diverse backgrounds worldwide. In this role, you will have the opportunity to experiment with text ads, bidding, and campaign structures on various search engines such as Google, Bing, Baidu, and Naver. Additionally, you will test, analyze, and optimize campaigns on social media platforms like Facebook, Twitter, and Instagram. You will also be involved in analyzing data, developing models for optimization, and creating dashboards for account managers. To succeed in this role, you should have at least 5 years of experience, a Bachelor's Degree or higher in a quantitative subject, excellent English communication skills, advanced business acumen, statistical and analytical expertise, proficiency in Excel and data tools, and the ability to lead A/B testing initiatives and interpret results for business impact. The ideal candidate will operate independently, lead complex projects, and mentor junior analysts. Having experience in digital marketing and academic research would be advantageous for this role. Agoda is an equal opportunity employer and values diversity in its workforce. Your application will be kept on file for future vacancies, and you can request to have your details removed at any time. For more information, please refer to our privacy policy.,

As an Associate Analyst within the Open Banking Business Intelligence (OB BI) team, you will play a vital role in shaping the future of Open Banking through data-driven insights and analytics solutions. Your primary mission will be to democratize data access and enhance user experience (UX) across various Open Banking products and services. Your responsibilities will include supporting UX and funnel analytics by analyzing user interactions, conversion rates, and behavioral trends. You will assist in gathering and synthesizing data from multiple sources, including API data and Open Banking platforms. Utilizing tools such as Tableau and Power BI, you will apply data visualization techniques to effectively communicate insights. Collaborating closely with product managers and developers, you will identify opportunities to optimize customer experiences. In addition, you will be involved in data cleaning, exploration, and validation to ensure the accuracy and quality of analysis. Working with cross-functional teams, you will help standardize and automate reporting processes. Furthermore, you will participate in data-driven storytelling to translate complex findings into actionable strategies. To excel in this role, you should possess a Bachelor's degree in Computer Science, Data Analytics, Economics, Statistics, or a related field. Strong analytical skills, coupled with an interest in user behavior and Open Banking trends, are essential. Familiarity with SQL, Python, or R for data analysis would be advantageous. Experience with data visualization tools like Tableau, Power BI, or Excel is also preferred. Effective communication skills, a willingness to learn, and collaborate, as well as the ability to manage multiple projects in a fast-paced environment, are key attributes for success in this position. It is important to note that all personnel working for or on behalf of Mastercard are responsible for information security. This includes adhering to security policies and practices, ensuring the confidentiality and integrity of accessed information, reporting any suspected security violations, and completing mandatory security trainings as per Mastercard guidelines.,

As a Senior Consultant (Project Lead) in the Talent Solutions Consulting practice, you will be responsible for managing and leading high-impact projects focusing on compensation, rewards, and talent transformation. Your role will involve working closely with clients, providing strategic solutions, and contributing to thought leadership initiatives within the organization. Your key responsibilities will include: - Developing and implementing talent strategies such as organization design, digital transformation, performance management, and skill gap analysis. - Engaging with clients as a trusted advisor, managing project timelines effectively, and ensuring high-quality deliverables. - Contributing to internal research, events, and whitepapers to drive thought leadership in the industry. - Supporting business development efforts by creating solutions and proposals for both new and existing clients. To be successful in this role, you should have: - 3-5 years of experience (post-MBA) or 6-7 years of experience (post-graduate) in compensation & benefits, rewards, talent consulting, or workforce strategy. - A degree in HR, Economics, Statistics, Business Analytics, or related fields. An MBA/PGDBM from Tier I Colleges is preferred. - Proficiency in Advanced Excel and a strong understanding of tools like R, VBA, predictive analytics, or modeling would be advantageous. - Excellent storytelling, data visualization, and presentation skills. - Strong project management capabilities with the ability to lead multiple workstreams simultaneously. - Flexibility to travel as required by project needs. If you are passionate about using data, insights, and strategy to solve people challenges, we invite you to join our team and make a significant impact in the Talent Solutions Consulting domain.,