603 Statistical Analysis Jobs - Page 4

As a Senior Data Scientist with our fast-growing team, you should possess a total of 7-8 years of experience, with a specific focus on 3-5 years in Machine & Deep Machine learning. Your expertise should include working with Convolution Neural Network (CNN), Image Analytics, TensorFlow, Open CV, among others. Your primary responsibilities will revolve around designing and developing highly scalable machine learning solutions that have a significant impact on various aspects of our business. You will play a crucial role in creating Neural Network solutions, particularly Convolution Neural Networks, and ML solutions based on our architecture supported by big data, cloud technology, micro-service architecture, and high-performing compute infrastructure. Your daily tasks will involve contributing to all stages of algorithm development, from ideation to design, prototyping, and production implementation. To excel in this role, you should have a solid foundation in software engineering and data science, along with a deep understanding of machine learning algorithms, statistical analysis tools, and distributed systems. Experience in developing machine learning applications, familiarity with various machine learning APIs, tools, and open source libraries, as well as proficiency in coding, data structures, predictive modeling, and big data concepts are essential. Additionally, expertise in designing full-stack ML solutions in a distributed compute environment is crucial. Proficiency in Python, Tensor Flow, Keras, Sci-kit, pandas, NumPy, AZURE, AWS GPU is required. Strong communication skills to effectively collaborate with various levels of the organization are also necessary. If you are a Junior Data Scientist looking to join our team, you should have 2-4 years of experience and hands-on experience in Deep Learning, Computer Vision, Image Processing, and related skills. We are seeking self-motivated individuals who are eager to tackle challenges in the realm of AI predictive image analytics and machine learning.,

We are looking for a talented Lead Data Scientist to join our Finance Analytics team. Your main responsibility will be to analyze financial data in order to derive insights, detect patterns, and propose automation opportunities within our finance and accounting departments. By leveraging your expertise in data engineering and advanced analytics, you will be transforming raw financial data into valuable insights. Collaborating with finance teams is crucial as you work towards understanding business requirements. Your key responsibilities will include: - Applying advanced analytics techniques to extract insights from financial datasets - Building and optimizing data pipelines using Python, Spark, and SQL for data preparation - Developing and implementing machine learning models to identify patterns and automation opportunities - Creating interactive dashboards and visualizations using BI tools to effectively communicate insights - Collaborating with finance teams to translate their data needs into analytical solutions - Identifying and tracking relevant metrics for meaningful business intelligence - Supporting data-driven decision making by presenting clear findings - Conducting exploratory data analysis to uncover trends in financial data - Mentoring junior data scientists on analytical techniques - Implementing statistical analysis methods for validating findings and ensuring data quality - Documenting methodologies, processes, and results for reproducibility and knowledge sharing We are looking for someone with: - 5-7 years of experience in data science or analytics, preferably with financial or business data exposure - Strong technical background in data engineering and pipeline development - Advanced proficiency in Python and experience with Spark for large-scale data processing - Experience working with data from Snowflake Data Lake or similar cloud-based data platforms - Demonstrated skill in building dashboards and visualizations using BI tools - Proficiency in SQL for data extraction and manipulation - Experience applying machine learning algorithms to solve business problems - Ability to communicate technical concepts to non-technical stakeholders - Understanding of basic financial concepts and metrics - Strong problem-solving skills and attention to detail - Bachelor's degree in computer science, Data Science, Statistics, or related technical field Desired additional qualifications include: - Experience working in cross-functional teams in fast-paced environments - Familiarity with agile methodologies and collaborative development practices - Experience with version control systems and collaborative coding - Knowledge of cloud computing platforms - Understanding of data governance and data quality best practices - Continuous learning mindset and staying updated with emerging data science technologies If you are interested in exploring this opportunity, please submit your CV and a cover letter explaining why you believe you are a perfect fit for this role. We will be reviewing applications during the application period and filling the vacancy once a suitable candidate is identified.,

The role of Vice President-Credit and Overseas Audit involves leading a team to conduct comprehensive credit audits for corporate banking units and overseas branches. As the VP, you will be responsible for ensuring adherence to audit plans, leveraging data analytics for audit efficiency, and maintaining high-quality reporting. Your duties will include coordinating with auditors, reviewing processes, and implementing corrective actions based on audit findings. Key Responsibilities: - Leading a team and conducting credit audits for Corporate Bank Units and Overseas Branches - Managing concurrent audits for these units - Planning audits and conducting risk assessments for the Credit and Overseas Units - Utilizing data analytics to enhance audit efficiency - Ensuring timely commencement and closure of audits as per the audit plan - Preparing and submitting audit reports/synopsis within stipulated time frames - Upholding the quality of audit reports and ensuring correctness and consistency of data - Emphasizing on policies, internal guidelines, processes, practices, revenue assurance, and risk coverage - Performing other assignments such as process reviews, thematic audits, checklists, special audits, and investigations as needed - Coordinating with concurrent auditors and internal auditors for effective monitoring - Aggregating common findings and providing recommendations for corrective actions Role Proficiencies: - Profound knowledge of Credit Functions Policies, internal guidelines, processes, practices, people, revenue assurance, and risk coverage - Ability to conduct assignments like process reviews, thematic audits, checklists, special audits, and investigations - Demonstrated capability in ensuring timely commencement and closure of audits - Strong communication skills (both verbal and written) and interpersonal abilities - Proficiency in techno-functional skills, excel, database management, financial and statistical analysis - Skilled in managing risk and uncertainty for self and the team in a dynamic environment - Capability to prioritize tasks and make decisions in a fast-paced setting - Team player with the ability to contribute towards team goals - Competence in managing multiple tasks/projects and deadlines concurrently Location: Mumbai Email resume to: chithra@novotreeminds.com,

The Site Quality Leader for the Fuel systems plant is responsible for creating value by leading and developing a high-performing team, overseeing day-to-day quality operations, and supporting key initiatives to help the site and broader business unit achieve strategic goals. It is crucial for this leader to maintain quality systems, consistently meet customer expectations, and integrate continuous improvement principles across all site operations. Key Responsibilities: - Implement and maintain the plant's quality system in alignment with Cummins Operating System (COS). - Manage the Quality team, operational objectives, and deliverables, including Annual Operating Plan (AOP) targets. - Develop, implement, and monitor quality assurance methods to support plant operations. - Ensure compliance with internal and external standards such as IATF, APQP, PPAP, and customer-specific requirements. - Drive continuous improvement initiatives like Lean Manufacturing, 7-Step Problem Solving, and Quality 4.0 tools. - Monitor quality metrics and improvement projects related to Right First Time (RFT) and Product Quality Council outcomes. - Conduct quality assessments, audits, and post-event reviews to ensure sustained performance and compliance. - Lead Quality Engineers and Metrology teams to enhance inspection, calibration, and quality planning. - Align quality strategy with emerging technologies and digitization initiatives. - Advocate for quality priorities in cross-functional decision-making. - Identify opportunities for improvement in products and processes to support greenhouse gas reduction and environmental sustainability efforts. Skills and Experience Needed: - 15+ years of relevant experience in Quality function, with significant experience in Fuel systems within the automotive or similarly regulated industry. - Minimum 5+ years of people management experience. - Proficiency in APQP, PPAP, FMEA, SPC, capability studies, and quality audits. - Strong problem-solving skills using the 7-step methodology and industry tools. - Experience in leading Six Sigma, Lean, and continuous improvement efforts. - Familiarity with digital quality systems and Quality 4.0 technologies. - Effective resource and project planning skills. Core Competencies: - Customer Focus - Develops Talent - Quality Influence - Values Differences - Quality Systems Management - Quality 4.0 Leadership - Project Resource Management - Statistical Analysis Qualifications: - Bachelor's degree in Engineering or a related technical/scientific field. - Demonstrated competence through significant quality and manufacturing experience. - May require licensing to comply with applicable export control regulations. Organization: Cummins Inc. Role Category: On-site Job Type: Exempt - Experienced ReqID: 2415951 Relocation Package: Yes,

The Transfer Pricing Function at Tata Communications is a crucial part of the Taxation function that oversees global transfer pricing compliance. This function involves identifying intercompany transactions and related parties, completing assessments, striving for certainty, and addressing any adjustments resulting from audits or assessments. As a member of this team, your role will be pivotal in ensuring 100% compliance with global transfer pricing regulations, while also introducing innovative strategies to minimize litigations, tax costs, and compliance burdens. Your responsibilities will include: - Ensuring zero non-compliance by promptly filing returns and notifications related to transfer pricing. - Providing timely responses to notices from tax authorities. - Managing audits, assessments, and appeals worldwide. - Securing certainty on intercompany transactions through Advance Pricing Agreements (APAs) or other strategic initiatives. - Participating in internal audits, transaction compliance reviews, and transformation initiatives like ERP modifications and process improvements. - Offering transactional support for M&A transactions and intercompany transactions. To qualify for this position, we seek a dynamic individual with a customer-centric and solution-oriented mindset, possessing in-depth knowledge of Taxation, ERP systems, and an understanding of global tax trends. The ideal candidate will be a Chartered Accountant with 1-2 years of post-qualification experience, preferably in the field of international taxation, with exposure to transfer pricing and international taxation in the telecom industry being advantageous. Desired skill sets for this role include: - Proficiency in Excel at a mid-level. - Exposure to SAP. - Familiarity with finance and statistical analysis software. - Understanding of financial and accounting principles and expertise across finance domains. Join Tata Communications" Transfer Pricing team and contribute to shaping a compliant and efficient global tax environment.,

You are a detail-oriented and motivated Junior Data Analyst with 2-5 years of experience, seeking to join a multinational company's new office in Infopark, Kochi. As part of the analytics team, you will support decision-making in marketing, product development, and customer success, contributing to the growth and success of the Indian operations. Your responsibilities will include extracting, cleaning, and transforming data from various sources, creating reports and visualizations using tools like Excel, Power BI, and SQL, conducting statistical analysis to identify trends, collaborating with teams to understand business goals, documenting findings and processes clearly, and supporting ad-hoc data requests from stakeholders. To qualify for this role, you should have a Bachelor's degree in computer science, Statistics, Mathematics, or a related field, proficiency in SQL and Power BI, strong analytical and problem-solving skills, good communication skills, and attention to detail. Experience in subscription businesses or e-commerce is a plus. This is an exciting opportunity to work in a fast-paced, data-driven environment with real impact on growth, be part of a new chapter in a fast-growing multinational company, enjoy a competitive salary, excellent benefits, and hybrid work options, and work in Infopark, Kochi, surrounded by other top IT companies. If you are ready to contribute to a dynamic team and grow with the company, send your resume to careers@firstscreen.com or reach out for more details. Join us in this new journey and be part of something great!,

Appinventiv is a global product development and digital transformation agency that leverages cutting-edge technologies like Artificial Intelligence, Blockchain, Cloud, and Data Analytics to create AI-powered digital products and solutions. With a team of over 1,600 innovators across six global centers, Appinventiv has launched more than 3,000 products, transforming industries and enhancing user experiences. This is a full-time on-site role for a Junior Analyst located in Noida. You will be responsible for data analysis, preparing reports, and providing insights to support decision-making processes. Your day-to-day tasks will include collecting and analyzing large datasets, identifying trends and patterns, creating visualizations, and collaborating with various departments to ensure data accuracy and consistency. This role requires strong analytical skills and attention to detail to contribute effectively to the company's projects and objectives. To excel in this role, you should have proficiency in Data Analysis and Data Visualization tools, along with 1-3 years of experience in the field. Experience with Data Collection, Data Cleaning, and Data Preparation is essential, as well as strong skills in Statistical Analysis and Trend Analysis. Knowledge of Excel and SQL is necessary for this position. Additionally, excellent problem-solving and critical-thinking skills, strong written and verbal communication skills, and the ability to work collaboratively in a team environment are important qualities for this role. A Bachelor's degree in Data Science, Statistics, Economics, or a related field is required. Experience in the technology sector would be a plus for this position. If you meet the qualifications and are looking to join a dynamic team focused on leveraging technology to drive digital innovation, this role as a Junior Analyst at Appinventiv could be the next step in your career.,

The ideal candidate for the Data Scientist position at TransOrg Analytics should have a Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. You should possess 3-5 years of relevant experience in data analysis or a related role, along with expertise in data pre-processing and manipulation using Python or SQL. Experience in statistical analysis and modeling techniques such as regression, classification, and clustering is essential. Candidates with experience in machine learning, deep learning frameworks, and libraries will be preferred. Proficiency in data processing tools and frameworks, as well as data visualization tools like Tableau or Power BI, is required. You should have a proven track record of managing data project delivery, meeting deadlines, managing stakeholder expectations, and producing clear deliverables. Strong problem-solving skills and attention to detail are crucial for this role, along with the ability to think critically and provide data-backed insights. Excellent communication skills, both verbal and written, are a must. Familiarity with Cloud Platforms like Azure, AWS, or GCP, and the ability to use them for developing, training, and testing deep learning models will be an added advantage. Knowledge of cloud-based data warehousing platforms, particularly Snowflake, is also beneficial. If you are passionate about leveraging data science to streamline, optimize, and accelerate businesses, and meet the above requirements, we invite you to join our team at TransOrg Analytics. Visit www.transorg.com to learn more about us and explore how you can contribute to our mission of providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC, and the Middle East.,

Are you seeking a thrilling opportunity to become a part of a vibrant and expanding team in a fast-paced and challenging domain As an Analytics Solutions Manager specializing in Applied AI/ML and holding the title of Vice President within the Asset & Wealth Management (AWM) Risk Management team, your primary responsibility will be to conceptualize, create, and deploy advanced AI/ML solutions that cater to a variety of business requirements. Your focus will be on ensuring scalability and optimal performance. As a Generative AI/ML Specialist operating within the AWM Risk Management sector, you will play a critical role as a key member of an agile team dedicated to crafting and implementing cutting-edge generative AI and machine learning solutions. Your duties will revolve around offering strategic guidance in crafting and executing innovative generative AI/ML models and algorithms that drive business transformation and enhance decision-making processes. Your task will involve designing adaptable and scalable solutions that retain robustness at their core while being flexible enough to adapt to evolving business demands. Serving as a pivotal technical and strategic contributor, you will collaborate across various business functions to embed AI/ML capabilities that resonate with the firm's objectives. Furthermore, you will engage closely with leadership to provide insightful leadership, formulate strategic roadmaps, and assess emerging AI/ML technologies, necessitating a blend of technical acumen and strategic foresight. **Job Responsibilities:** - Design, develop, and implement advanced AI/ML solutions to address diverse business needs, ensuring scalability and performance. Enhance state-of-the-art Gen-AI models to support use cases like Document Q&A, Information Retrieval/Summarization, and Search. - Collaborate closely with leadership to establish the technical vision and execute strategic roadmaps, translating business requirements into actionable AI/ML specifications. - Lead AI/ML projects throughout the ML development lifecycle. Utilize agile methodology, define crucial milestones, and guarantee timely delivery. - Stay abreast of data science and machine learning advancements by collaborating with the internal AI/ML community to introduce innovative solutions to the AWM Risk organization. - Mentor junior data scientists and analysts, and devise training initiatives to boost AI/ML awareness and adoption within the team. - Develop and manage efficient data pipelines and workflows, ensuring data quality and integrity through meticulous cleaning, preprocessing, and validation. - Conduct exploratory data analysis to unveil trends and insights, perform statistical analysis and hypothesis testing to support data-driven decision-making. - Present findings through clear and impactful visualizations and reports, facilitating informed decision-making across the organization. **Required Qualifications, Skills and Capabilities:** - Bachelor's degree or higher in a quantitative field like Computer Science, Data Science, or Machine Learning, accompanied by 7+ years of experience. - Proficiency in programming languages such as Python or R, along with expertise in SQL and relational databases. - In-depth knowledge of machine learning, artificial intelligence, and statistical analysis and modeling techniques. - Strong problem-solving abilities, keen attention to detail, and the capacity to work autonomously and as part of a team. - Excellent communication and collaboration skills, inspiring and leading teams comprising both technical and non-technical members. **Preferred Qualifications, Skills and Capabilities:** - Proficiency with large language models (LLMs), prompt engineering techniques, and generative AI. - Sound background in natural language processing (NLP), deep learning methods, and experience in implementing ML solutions for insights, pattern detection, and forecasting. - Experience with Graph Databases, Large Graph Models (LGM), and GraphRAG applications.,

As a Business Analytics Int Analyst at our organization, you will be responsible for leveraging analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy. Your role will involve ownership and management of fraud rules, scores, and detection strategies. You will analyze customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies. Collaboration with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies will also be a key aspect of your responsibilities. In this role, you will be tasked with generating and managing regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends. Continually assessing manual and automated processes to identify potential process gaps and opportunities will be crucial. Your analytical skills will be utilized to develop MIS reports, dashboards, and communicate fraud results internally and to the business using advanced visualization techniques. Furthermore, you will work with various stakeholders during strategy development and conversion efforts to identify and fulfill data/analytical needs, as well as develop a comprehensive transition plan. Additionally, mentoring and coaching junior team members will be part of your responsibilities. To be successful in this role, you should hold a Bachelor's degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field. A background in Engineering or MBA from a premier institute is preferred. You should have a minimum of 6+ years of hands-on analytical experience and at least 4+ years of experience in statistical analysis with working knowledge of SAS/SQL (mandatory) and R/Python (desired). The ability to work in a fast-paced, dynamic environment and hands-on experience in data visualization tools, such as Tableau, are essential. Strong analytical and problem-solving abilities are required to deliver projects in a fast-paced environment. Excellent verbal and written communication skills, experience with stakeholder management, and excellent presentation skills to eloquently explain and drive the agenda are also necessary for this role. While experience in fraud strategy/processes and/or fraud analytics is desired, it is not mandatory. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are looking for a challenging role where you can utilize your analytical skills and contribute to the development and improvement of fraud strategies, then this position may be the right fit for you. Join our team and be a part of a dynamic environment where your contributions will have a direct impact on the effectiveness of the team and other closely related teams.,

As a Senior Data Scientist, you will utilize your expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to design, develop, and deploy advanced AI/ML models. Your role will involve solving complex business problems by building, training, and optimizing AI models using Python and relevant ML frameworks. You will implement Azure AI/ML services for scalable deployment and integrate APIs for real-time model inference. Working with large-scale data, you will extract insights to drive strategic initiatives and collaborate with cross-functional teams to integrate AI/ML solutions into applications. Your responsibilities will include designing and developing ML, NLP, and GenAI models, implementing Azure AI/ML services, developing APIs for model deployment, and working with large-scale data to extract insights. You will collaborate with cross-functional teams, implement CI/CD pipelines, ensure adherence to software engineering best practices, stay updated on AI/ML advancements, conduct research on emerging trends, provide technical mentorship, and optimize model performance in a production environment. To excel in this role, you must have proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn, hands-on experience in NLP techniques, expertise in Generative AI models, knowledge of Azure AI/ML services, and experience in developing APIs for model deployment. Familiarity with CI/CD pipelines, software engineering principles, Agile methodologies, statistical analysis, data mining, and data visualization is essential. Preferred qualifications include experience in MLOps, knowledge of vector databases, and exposure to big data processing frameworks. Joining our team as a Senior Data Scientist will offer you a full-time or part-time permanent position with benefits such as health insurance and provident fund. You will work day shifts from Monday to Friday with weekend availability and have the opportunity for performance bonuses. With a minimum of 8 years of experience in Python, Azure AI/ML services, and Senior Data Scientist roles, you will contribute to innovative solutions and drive data-driven decision-making in a collaborative environment.,

You will be responsible for leading genotoxicity studies such as the Bacterial Reverse Mutation test (AMES), Bone Marrow Micronucleus Test, Chromosome Aberration Test, and In vitro Micronucleus Test as a Study Director in the Toxicology (Genotoxicology) field. Additionally, you will also act as Study Personnel for general toxicology studies. Your main duties will include preparing study plans, amending study plans, creating study reports, developing and reviewing Standard Operating Procedures (SOPs), and maintaining the in vitro laboratory. You will also assist in departmental activities as needed and partake in the validation of new assays to enhance our capabilities. You will be involved in conducting various assays such as the hERG assay, hepatotoxicity assays, and miniature Ames tests. Furthermore, you will handle the cryopreservation, maintenance, and handling of strains/cell lines, as well as slide preparation, staining, coding, decoding, analysis, and data compilation for studies like MNT and Chromosome aberration. Your responsibilities will also include compiling, verifying, and statistically analyzing study data, managing the handling, storage, and disposal of positive control items related to genotoxicity studies, and operating and maintaining laboratory equipment used in non-clinical safety studies. In addition to technical skills, soft skills such as excellent planning, interpersonal, problem-solving, and communication skills are essential for this role. Proficiency in MS Office is considered desirable for the position.,

As a Global Salesforce Business Analyst & Administrator at Graebel, you will play a pivotal role in maintaining, optimizing, and enhancing our Salesforce environment. You will be responsible for overseeing the day-to-day management of our Salesforce instance to ensure it is fully optimized for internal teams. Collaborating with cross-functional teams, you will translate business needs into technical solutions within Salesforce, impacting the efficiency and success of our sales, marketing, and customer service operations. Your responsibilities will include managing and maintaining the Salesforce platform, handling administrative functions, enhancing forecasting and reporting capabilities, collaborating with departments to gather requirements, overseeing significant Salesforce projects, managing integrations with third-party applications, providing training and support for Salesforce users, staying updated on Salesforce releases and features, troubleshooting and resolving functionality issues, and documenting system configuration and administrative processes. To be successful in this role, you should have a BS in Mathematics, Economics, Computer Science, Information Management, or Statistics, along with 3+ years of experience as a business analyst/Salesforce administrator. You should also hold a Salesforce.com administration certification and possess technical expertise in data models, database design development, data mining, and segmentation techniques. Strong analytical skills, project management skills, and excellent communication skills in English are essential for this position.,

As a Level 9 Industry and Functional AI Decision Science Consultant at Accenture Strategy & Consulting within the Global Network - Data & AI team, your primary responsibility will be to assist clients in the Comms & Media - Telecom practice by designing and implementing AI solutions for their business needs. You will leverage your expertise in the Telco domain, AI fundamentals, and hands-on experience with large datasets to deliver valuable insights and recommendations to key stakeholders. Your role will involve proposing solutions based on comprehensive gap analysis of existing Telco platforms, identifying long-term value propositions, and translating business requirements into functional specifications. By collaborating closely with client stakeholders through interviews and workshops, you will gather essential insights to address their unique challenges and opportunities. In addition to understanding the current processes and potential issues within the Telco environment, you will be responsible for designing future state solutions that leverage Data & AI capabilities effectively. Your ability to analyze complex problems systematically, anticipate obstacles, and establish a clear project roadmap will be crucial to driving successful outcomes for clients. Furthermore, you will act as a strategic partner to clients, aligning their business goals with innovative AI-driven strategies to enhance revenue growth and operational efficiency. Your expertise in storytelling through data analysis will enable you to craft compelling narratives that resonate with senior stakeholders and drive informed decision-making. To excel in this role, you should possess a minimum of 5 years of experience in Data Science, with at least 3 years dedicated to Telecom Analytics. A postgraduate degree from a reputable institution and proficiency in data mining, statistical analysis, and advanced predictive modeling techniques are essential qualifications for this position. Your hands-on experience with various analytical tools and programming languages, such as Python, R, and SQL, will be instrumental in delivering impactful solutions to clients. As a proactive and collaborative team player, you will actively engage with cross-functional teams, mentor junior members, and uphold a high standard of excellence in client interactions. Your strong analytical skills, problem-solving capabilities, and ability to work independently across multiple projects will be key to your success in this dynamic and fast-paced environment. While cloud platform certifications and experience in Computer Vision are considered advantageous, your commitment to continuous learning and staying abreast of industry trends will be highly valued in this role. Overall, your dedication to delivering value-driven AI solutions and fostering long-lasting client relationships will be instrumental in driving success for both Accenture and its clients.,

As a Data Mining Intern, you will have the opportunity to collaborate with our data science and analytics teams to extract valuable insights from large datasets. This position is ideal for individuals who are eager to enhance their skills in data mining, machine learning, and data analysis while making meaningful contributions to projects. Your main responsibilities will include assisting in data collection, cleaning, and preparation for analysis from various sources such as databases, spreadsheets, and APIs. You will utilize exploratory data analysis techniques to identify patterns, trends, and relationships within extensive datasets. Additionally, you will apply statistical methods, data mining algorithms, and machine learning models to derive insights from the data. In this role, you will also be involved in visualizing complex datasets using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to effectively communicate your findings. Furthermore, you will be tasked with preparing reports and presentations summarizing insights, trends, and recommendations based on data analysis. Collaboration with senior team members to support data-driven projects and contribute to the development of predictive models and solutions will also be a key aspect of your role. To qualify for this position, you should be currently pursuing or have recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis is required. Basic knowledge of data mining techniques, statistical analysis, and machine learning concepts is also essential. Strong problem-solving skills, an affinity for data work, and the ability to present complex data findings clearly are important attributes for this role. Experience with data analysis tools like Python, R, SQL, Excel, and data visualization tools such as Tableau and Power BI will be beneficial. Familiarity with big data platforms like Hadoop and Spark, as well as machine learning algorithms and libraries like scikit-learn or TensorFlow, are desirable skills. Knowledge of statistical tools and methods is also advantageous. This is a full-time, permanent position with benefits including paid sick time. The work schedule is during the day shift, and the work location is in person.,

As a mathematician at Protocolzone Private Limited, you will be responsible for developing and enhancing algorithms, models, and mathematical solutions essential for various software applications. Your expertise will be pivotal in solving complex problems, implementing non-linear optimization techniques, streamlining processes, and enhancing the overall efficiency and performance of software products. Your key responsibilities will include designing and developing mathematical algorithms tailored to address specific challenges, analyzing large datasets to extract valuable insights for data-driven decision-making, and working on statistical analysis and data modeling to boost the functionality of software products. Furthermore, you will optimize existing algorithms and mathematical models to enhance efficiency, apply mathematical concepts to machine learning and artificial intelligence projects, and develop and implement mathematical models for tasks like pattern recognition, classification, and prediction. Your role will also involve tackling challenging problems through the application of mathematical principles and analytical thinking, collaborating closely with team members to resolve issues related to advanced mathematical concepts, and documenting mathematical models, algorithms, and methodologies for internal reference and knowledge sharing. The ideal candidate should possess a strong proficiency in mathematical modeling, algorithms, and statistical analysis, along with experience in programming languages such as Python, R, and Matlab. Familiarity with machine learning frameworks and techniques is highly desirable, along with excellent problem-solving and analytical skills. Effective communication skills are crucial for collaborating with interdisciplinary teams. Qualifications required for this position include an advanced degree (M.Sc. or Ph.D.) in Mathematics, Applied Mathematics, Computer Science, or a related field. The ideal candidate should have 3-6 years of relevant experience and the job location is Ahmedabad. This is a full-time employment opportunity. If you are passionate about applying your mathematical expertise to drive innovation and solve challenging problems in a dynamic work environment, we invite you to apply for this exciting opportunity at Protocolzone Private Limited.,

As a Senior R Shiny Developer, you will be responsible for designing, building, and maintaining enterprise-grade R Shiny applications that convert complex data into intuitive, interactive web interfaces. Your expertise in the full R Shiny application lifecycle, from conception to deployment, with a focus on cloud infrastructure and security, will be crucial to the success of our team. Your key responsibilities will include designing and developing sophisticated R Shiny applications, creating responsive and high-performance interfaces, implementing complex statistical models and data visualizations, and deploying applications across cloud platforms. Additionally, you will containerize applications using Docker, establish robust user authentication and authorization systems, and optimize connections to various databases. To excel in this role, you should possess at least 5 years of experience developing R Shiny applications for enterprise environments. Advanced proficiency in R programming, knowledge of Shiny reactive programming patterns, and experience with building and deploying production Shiny applications are essential. Proficiency in R Markdown, flexdashboard, package development, and containerization using Docker is required. Expertise in cloud deployment on AWS, Azure, or GCP, as well as knowledge of authentication systems and database integration, will be beneficial. Preferred qualifications include experience with Shiny Server Pro or RStudio Connect administration, knowledge of load balancing and scaling Shiny applications, and familiarity with Kubernetes for containerized Shiny applications. Additionally, a background in data science or statistical analysis using R, contributions to open-source R packages, and experience in the pharmaceutical industry will be advantageous. In terms of technical expertise, you should be proficient in the R package ecosystem, R performance optimization, parallel processing in R, authentication methods, database connectivity, cloud-specific R integrations, containerization, front-end technologies integration, version control, and testing frameworks. In return, we offer you the opportunity to work on challenging data-driven applications in a collaborative environment with shiny developers and domain experts. You will receive a competitive salary and benefits package along with professional development opportunities. If you are passionate about creating powerful shiny applications and possess the technical expertise required to build scalable, secure Shiny solutions, we would love to hear from you.,

As a Quality Control Manager at RS Infraprojects Pvt Ltd., you will be responsible for overseeing quality assurance procedures, conducting inspections and tests, maintaining detailed records of findings, and ensuring compliance with regulatory standards. Your role will involve daily supervision of quality control staff, identifying areas for improvement, implementing corrective actions, and collaborating with production teams to meet quality objectives. To excel in this role, you should have proficiency in Quality Assurance, Quality Control, and Inspection methods. Knowledge of Regulatory Standards and Compliance requirements is essential, along with strong Analytical Skills and Attention to Detail. Excellent Leadership and Supervisory Skills are required to effectively manage the quality control team. Effective Communication and Report Writing Skills will be crucial in documenting and communicating quality-related information. Experience with Statistical Analysis and Problem-Solving Techniques will be beneficial in addressing quality issues and optimizing processes. A Bachelor's degree in Quality Management, Engineering, or a related field is necessary for this position. Previous experience in the manufacturing industry will be considered a plus. If you are a detail-oriented individual with a passion for maintaining high-quality standards, this role offers an opportunity to contribute to the success of our organization by ensuring the delivery of top-notch products that meet regulatory requirements and customer expectations.,

Be part of the future HR transformation at the dynamic intersection of people strategy, technology, and data-driven insights! We're seeking a leader to modernize and optimize our HR digital landscape across our global operations. This is your opportunity to architect extraordinary employee experiences, drive enterprise-wide innovation, and deliver measurable business value through strategic HR digital solutions and advanced analytics. As the Head of HR Digital Enablement & Analytics, you'll develop comprehensive strategies that support our HR solution vision while leading our talented People Analytics team. You'll serve as a key strategic partner to the HR Executive Team, deeply understanding our global HR organization's needs and collaborating with Group Digital & Technology to transform these insights into innovative digital solutions that enhance efficiency, effectiveness, and employee experience across the organization. Collaborate with HR teams, Group Digital & Technology, and key stakeholders to define and champion long-term HR process, employee experience, and solution strategies that enable Swiss Re's business objectives. Lead the People Analytics team in developing comprehensive analytics strategies, building predictive models, and creating advanced reporting capabilities that drive organizational insights and strategic decision-making. Drive partnerships between HR COEs and Group Digital and Technology to optimize HR processes through service design and strategic technology implementation, identifying emerging HR technologies that enhance employee experience. Understand HR needs and spearhead digital transformation initiatives across the HR function with significant business impact, working with users to evaluate service efficacy and recommend improvements. Partner with Group Digital & Technology to facilitate a portfolio of transformation initiatives, ensuring value-driven investment decisions and developing metrics to gauge HR process effectiveness. Collaborate with technical teams to create frameworks ensuring data integrity, accessibility, and compliance across HR systems while mitigating risks associated with HR processes. Cultivate relationships with key external partners to influence roadmaps and integrate innovative solutions into HR processes. You and your team will be part of the HR Operational Excellence function, a global, cross-functional group dedicated to enhancing the performance, efficiency, and impact of HR services across the organization. The HR Digital and Analytics team that you will lead plays a central role in enabling strategic HR transformation. The team drives continuous improvement across HR services, processes, and systems, and promotes data-driven decision-making by fostering learning through innovative programs like #iLearn and facilitating global collaboration through community dashboards. You're an experienced leader who thrives at the intersection of people strategy, HR service design, digital innovation, and workforce analytics. Your consultative approach allows you to translate complex business challenges into transformative digital solutions. You possess exceptional influencing skills that enable you to navigate organizational complexity and build consensus among diverse stakeholders. Your forward-thinking strategic mindset is balanced by pragmatic execution capabilities and a genuine passion for creating technology and data solutions that enhance workplace experiences. University degree and/or equivalent professional qualification in a related field. Minimum 10 years of significant track record in similar role(s) acquiring relevant skills in HR transformation, service design, technology-enabled transformation, and data analytics. Deep knowledge and experience in global HR business processes, including strategy development, service delivery, human capital management technologies, with the ability to translate business needs into technology requirements. Advanced expertise in people analytics, data visualization, statistical analysis, and predictive modeling for workforce insights, with experience leading HR data analytics teams and building capabilities within HR functions. Experience working with enterprise HRIS platforms (Workday, SAP SuccessFactors, Oracle HCM). Proficiency with data analytics tools and languages (Power BI, Tableau, R, Python, SQL). Demonstrated ability to influence, collaborate, and manage change with key stakeholders across global, matrix organizations. Knowledge of emerging technologies including GenAI and their application to HR. Executive education in digital transformation or advanced HR technology certifications (HRIP, SHRM-SCP). Strategic vendor management experience. Our company has a hybrid work model where the expectation is that you will be in the office three days per week. This role is not eligible for either relocation assistance or visa sponsorship. Swiss Re is one of the world's leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.,

As an AVP, Portfolio Analytics & Product Optimization at Synchrony, you will play a crucial role in providing end-to-end analytical support and solutions to PCMs. Your responsibilities will include offering analytics across key SYF new products, understanding consumer insights and behaviors to optimize product offering strategy. Your role will involve analyzing off-us behavioral characteristics, consumer behavior, credit performance, and partner & consumer pricing to ensure the correct set of products are offered to individual consumers. It is essential to develop data-driven product optimization and offering decisioning processes to maximize conversion, penetration, and share of wallet through the introduction of new products. Collaboration with internal functional stakeholders across Product, Analytics, Credit, Finance, Client teams, and others will be necessary. Mining datasets to drive product optimization strategies and recommendations using statistical modeling, a variety of analytical techniques, and advanced visualization will be a key aspect of your role. Reporting to the VP, Portfolio Credit Analytics within India Credit Organization, you will be instrumental in driving the product strategy targeting to increase penetration, customer engagement, and overall profitability. Key Responsibilities: - Partner with PCMs to understand analytic needs and provide insight and recommendations for portfolio growth and loss mitigation. - Lead credit tasks in cross-functional projects and identify key trends associated with portfolios using advanced analytics to deploy necessary strategies for credit loss mitigation. - Develop & maintain a decision management and analytical optimization framework to drive product strategy targeting. - Create product P&L performance tools in collaboration with Finance and Client teams. - Establish enterprise product optimization analytics dashboards and a product testing strategy. - Provide critical insights, make recommendations, and execute roadmap to demonstrate thought leadership. - Collaborate with Product organization and implementation teams to understand product distribution platforms and new product roadmap. - Analyze datasets and explore opportunities for product optimization innovation through data analytics. - Apply diverse analytical methods and statistical modeling techniques to enable state-of-the-art analytical decisioning framework. - Develop dashboards utilization visualization tools as needed and manage multiple projects simultaneously. Required Skills/Knowledge: - Bachelor's degree with quantitative underpinning and 5+ years of experience in consumer and/or commercial Credit/Risk, or Analytics role. Alternatively, 7+ years of experience in Programming/Analytics ideally in support of relevant professional experience. - Proficiency in statistical analysis tools such as SAS, R, Python. - Experience leading large-scale analytics projects and working with large or complex datasets. - Strong PC proficiency (Microsoft Suite) and ability to provide guidance to analysts. - Strong self-starter with a balance of individual and team goals achievement. - Ability to handle sensitive issues with integrity and confidentiality. Desired Skills/Knowledge: - Knowledge of card industry P&L, drivers, and assumptions. - Demonstrated success in developing and delivering analytics solutions. - Understanding of credit risk performance, targeting, and segmentation, retail analytic tools, and advanced Excel and PowerPoint skills. - Excellent communication and presentation skills. - Experience in developing, testing, documenting, and maintaining standardized outcome metrics. - Project management, multi-tasking, relationship management skills, and strategic thinking. Eligibility Criteria: - Bachelor's degree with quantitative underpinning and 5+ years of experience in relevant roles. Alternatively, 7+ years of experience in relevant professional experience. Work Timings: This role offers Enhanced Flexibility and Choice and requires availability between 06:00 AM Eastern Time 11:30 AM Eastern Time for meetings with India and US teams. The remaining hours are flexible for employees to choose, with exceptions based on business needs. For Internal Applicants: - Understand the criteria or mandatory skills required for the role before applying. - Inform your manager and HRM before applying for any role on Workday. - Ensure your professional profile is updated and upload your updated resume. - No corrective action plan (Formal/Final) should be in place. - L9+ Employees who have completed 18 months in the organization and 12 months in their current role and level are eligible. - Employees at L9+ can apply for this opportunity. Grade/Level: 11 Job Family Group: Credit,

As a Clinical Research Associate based in Bhubaneshwar, your primary responsibilities will include performing site feasibility assessments, identifying potential investigators, negotiating study budgets, finalizing investigators and sites, and executing CDA and study-related contracts. You will also be responsible for preparing and submitting study documents for EC permission across centers, overseeing IP dispensing, managing inventory, and conducting reconciliations. In addition, you will play a key role in ensuring timely site initiation, monitoring, and close-out activities, as well as overseeing investigator and site personnel training on study protocols, procedures, and GCP principles. Your duties will also involve facilitating the recruitment of trial participants, ensuring efficient data entry, source data verification, and query resolution, and reporting SAEs and SUSARs in compliance with regulations and Suns PV policies. Furthermore, you will be responsible for identifying risks, conducting analysis, and implementing CAPA for sites that do not meet expectations. Collaborating with in-house or CRO partners for data management, statistical analysis, and report generation will also be part of your role. To qualify for this position, you must have a Bachelor's or Master's degree in a health-related field such as Biology, Chemistry, Nursing, Pharmacy, or Public Health. A Post-graduate Diploma in Clinical Research would also be beneficial. Additionally, a minimum of 1-5 years of relevant experience in Clinical Research is required to be successful in this role.,

As a Biostatistician Technical Expert - Clinical Statistics at Sanofi, Hyderabad, you will play a crucial role in leading and overseeing statistical support for a team of senior and principal biostatisticians. Your responsibilities will include being accountable for statistical aspects and deliverables of several early/late phase studies, providing directions and guidance in project assignments, and interacting with other internal functions. You will also apply advanced statistical methods while ensuring scientific integrity to project work. You will support the clinical development plan, clinical study design, study setup, and conduct. Additionally, you will conduct or oversee the execution of statistical analyses, prepare statistical methods, and provide statistical insight for interpretation and discussion of results sections for the clinical study report and publications. As a biostatistical consultant, you will mentor junior statisticians and maintain knowledge of developments in biostatistics, clinical trial methodology, and regulatory requirements. Your role will involve proposing, preparing, and performing exploratory and ad-hoc analyses relevant to study objectives, as well as coordinating with study programmers for statistical analyses. You will contribute to process optimization, provide inputs to statistics and quality standards, and represent the statistics team in various initiatives. To be successful in this role, you should have 7+ years of experience in the pharmaceutical industry with a Master's degree or 5+ years with a Ph.D. You should possess a broad knowledge of advanced statistical concepts, strong project/study management skills, and proficiency in SAS and R languages. Additionally, experience in project management and development is preferred. Join us at Sanofi to bring the miracles of science to life and grow your career in a supportive and innovative environment. Enjoy endless opportunities for career advancement, a comprehensive rewards package, and various health and wellbeing benefits. Shape the future of healthcare and empower clinical advancements as a visionary leader in a leading multinational pharmaceutical company.,

As a valuable member of our team, you will be responsible for supporting data collection activities from laboratory and field validation tests. This will involve assisting in the process of gathering raw data, ensuring its accuracy, and organizing it effectively for further analysis. In addition, you will play a crucial role in performing data cleaning, validation, and basic statistical analysis to derive meaningful insights from the collected data. Your contribution in preparing structured reports and dashboards for internal review will be essential in communicating key findings to stakeholders. Collaboration with test engineers will be a key aspect of your role to ensure data accuracy and consistency throughout the testing process. By working closely with the team, you will contribute to data-driven insights that can be used for root cause analysis and performance improvement initiatives. Overall, this position offers a great opportunity to be involved in the end-to-end data management process and to make a significant impact on the quality and effectiveness of our testing procedures.,

Working at our firm means being part of a team that strives to make a lasting impact and develop long-term capabilities with our clients. Thriving in a high-performance culture, you are resilient and always ready to tackle challenges head-on. We value your determination and curiosity, and in return, we offer the necessary resources, mentorship, and opportunities to help you grow into a stronger leader faster than you ever imagined. Your colleagues, at all levels, are committed to your development while delivering exceptional results for our clients. Through our learning and apprenticeship culture, you will receive continuous support, coaching, and exposure that will accelerate your growth like nowhere else. Upon joining us, you will experience continuous learning through structured programs that focus on your growth and development. Your voice and ideas matter from day one, as we encourage diverse perspectives to drive the best outcomes. You will be part of a global community with colleagues from over 65 countries, bringing diverse backgrounds and experiences to the table. Additionally, we offer world-class benefits to support your holistic well-being and that of your family. As a core member of the Procurement hub, your responsibilities will include working on client engagements, driving workstreams for specific categories, and developing cutting-edge knowledge in the procurement domain. You will provide support to Client Service Teams by delivering key insights on various content-focused questions and support client proposals and development activities. This role will require extensive travel to client locations both within and outside India, accounting for more than 70% of your time. Ideally based in either our Gurugram or Chennai office, you will contribute to client engagements across various sectors, with a focus on Automotive and Assembly, Basic Materials, Consumer Goods, Retail, Pharma, and Travel Transport & Logistics. With over 2,300 Procurement engagements globally in the past 5 years, you will have the opportunity to work on diverse projects and industries. To excel in this role, you should hold a Bachelor's degree in engineering/technology (preferably with a master's degree and MBA specializing in operations), have at least 3 years of relevant industry/consulting experience in procurement, and possess a strong understanding of purchasing, sourcing, supplier management, and costing. Problem-solving capabilities, analytical skills, and proficiency in Excel, Word, PowerPoint, and relevant analytics tools are essential. Additionally, familiarity with e-procurement tools, spend analysis tools, RFQ tools, and eAuctions will be advantageous. As part of our team, you will be valued for your intellectual curiosity, strong interpersonal skills, and ability to work collaboratively. Your contributions will make a tangible impact, and your journey with us will be filled with opportunities for growth, learning, and professional development.,

The successful candidate for this position will have the opportunity to join our team at SDRC, an ISO 9001 & 270001 certified social enterprise based in Bhubaneswar, Odisha. We are looking for both Junior and Senior Research Fellows with 1 to 5 or more years of experience in the social development sector. Ideal candidates should have a background in Social Sciences, a solid understanding of social research, and proficiency in statistical analysis. SDRC specializes in enabling partners to design and manage social change initiatives that yield high impact results. We work closely with policy makers, implementers, and stakeholders globally to support program planning, monitor impact assessment, and promote experimental learning. Our mission is to provide innovative solutions to stakeholders and become a trusted partner known for delivering high-quality products and services in a timely and cost-effective manner. Key responsibilities for this role include documenting requirements, analyzing and presenting data effectively, creating research write-ups, and planning research and knowledge products. The candidate will be expected to collaborate with clients to gather project requirements, develop research designs, and produce policy briefs, reports, and factsheets. Strong analytical thinking, data interpretation, and problem-solving skills are essential to positively impact social change initiatives. Key Selection Criteria: - Research/Analytical skills - Drafting Skills (Report Writing Skill) - Computer skills (Computer literacy and use of IT) - Research Exposure (Experience of research projects) - Good presentation skills To apply for this position, please submit your updated resume to **@*****co.in. To learn more about SDRC, visit our website at www.sdrc.co.in.,