3930 R Jobs - Page 34

Be part of something revolutionary At o9 Solutions, the mission is clear: to be the Most Valuable Platform (MVP) for enterprises. With the AI-driven platform, the o9 Digital Brain, global enterprises" siloed planning capabilities are integrated, helping them capture millions and, in some cases, billions of dollars in value leakage. This impact extends beyond just businesses, as planning better and faster also leads to waste reduction, driving better outcomes for the planet. We are searching for the brightest and most committed individuals to join us on this mission. Throughout this journey, you will be provided with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. About the job The position of Associate Solution Architect - Client Success at o9 Solutions involves demonstrating thorough knowledge of industry best practices, business processes, o9's solutions, technical architecture, and value proposition. You will be responsible for ensuring solution usability and uptime by resolving customer issues promptly, ensuring data load accuracy, and validating end-to-end workflows. Identifying design issues in the existing setup and collaborating with other o9 consultants to solve business problems is a key aspect of the role. Additionally, you will configure the o9 platform based on change requests/enhancements post go-live and deliver solutions to address deep operations/supply chain challenges. Creating and executing workflow and data analytics test cases, working on bugs/issues, and supporting user training are also part of the responsibilities. What you'll have To excel in this role, you must have 5-7 years of experience in implementing planning applications. A degree in Btech/BE/MCA/Mtech is required. Proficiency in languages such as SQL, MDX, T-SQL, or similar is essential, with skills in statistical, optimization, and simulation tools like R, SAS, CPLEX being desirable. Deep understanding of supply chain planning concepts, including Demand Management, Distribution Planning, Master Planning, and S&OP, is crucial. Characteristics such as the ability to lead by example, proficiency in both product and domain, strong communication skills, and analytical abilities are highly valued at o9 Solutions. What we'll do for you We offer a competitive salary with stock options for eligible candidates and maintain a flat organizational structure with a strong entrepreneurial culture. You can expect to work with great people, have unlimited fun at work, and make a significant impact in a scale-up environment. There are opportunities for onsite travel based on project requirements, a supportive network to facilitate continuous learning, and a diverse international working environment. At o9, we prioritize work-life balance and foster transparency and frequent communication among team members. Join us on this revolutionary journey by applying below, and our recruiter will guide you through the process to potentially become part of the o9 Solutions team. Good luck!,

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. This role is essential for organizations looking to leverage big data to make informed decisions, improve operational efficiency, and gain a competitive advantage. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. In this dynamic position, you will be responsible for interpreting complex data sets, identifying trends, and sharing results with stakeholders through compelling visualizations and reports. Understanding business processes and having the ability to communicate technical concepts to non-technical stakeholders are paramount for success in this role. By effectively utilizing data mining and statistical techniques, you will contribute significantly to the organization's overall data-driven strategy and foster a culture of continuous improvement through data insights. Collaborate with cross-functional teams to understand the data analytics needs, design and implement predictive models to drive business solutions, analyze large datasets to discover patterns and trends, create data visualizations to communicate findings effectively to stakeholders, evaluate model performance and refine algorithms to enhance accuracy, utilize statistical methods to validate results and assumptions, assist in the development and maintenance of analytics tools and frameworks, prepare detailed reports and documentation of analyses performed, stay updated with the latest advancements in AI and analytics technologies, train team members on data analytics best practices and tools, facilitate workshops to promote data-driven decision-making, manage multiple projects simultaneously while meeting deadlines, work closely with IT teams to ensure data integrity and security, identify, analyze, and interpret trends in complex data sets, support strategic initiatives through data-driven recommendations. Required Qualifications: - Masters degree in Data Science, Computer Science, Statistics, or related field. - Proven experience in predictive analytics and machine learning. - Strong proficiency in programming languages such as Python or R. - Experience with data visualization tools like Tableau or Power BI. - Solid understanding of statistical analysis and methodologies. - Hands-on experience with SQL and database management. - Excellent problem-solving and critical-thinking skills. - Strong project management abilities with attention to detail. - Ability to work collaboratively in a team environment. - Effective communication skills for presenting technical concepts. - Experience with big data technologies (Hadoop, Spark) is a plus. - Demonstrated ability to adapt to changing priorities and manage multiple projects. - Familiarity with data cleaning and preprocessing techniques. - Understanding of business processes for contextual application of analytics. - Previous experience in a similar role preferred. - Professional certifications in data analytics or related fields are a plus. Skills: data visualization, problem-solving, Python, communication skills, statistical analysis, machine learning, predictive analytics, AI/ML, data mining, data analysis, R, big data technologies, team collaboration, predictive modeling, SQL, project management.,

You are an experienced Business Intelligence & Analytics Consultant with expertise in SAS Visual Analytics, Viya, Qlik Sense, Tableau, or Power BI. Your responsibilities include data analysis, pre-sales support, product demonstrations, training sessions, and end-to-end solution delivery. You will work with BI tools (SAS VA, Tableau, Qlik, Power BI) to create interactive and visually appealing dashboards. Additionally, you will assist the sales team in qualifying prospects, conduct training sessions, and act as a technical expert in client meetings. Gathering business requirements, creating BRDs, defining project timelines, and designing data models are crucial for successful project delivery. Your role also involves providing post-implementation support to customers and working independently with a strong drive for results and adherence to project timelines. Demonstrating expertise in BI, analytical programming, and mathematical tools is essential for this position. To qualify, you need 5+ years of experience with SAS Visual Analytics, Viya, Qlik Sense, Tableau, or Power BI, strong analytical programming skills (SAS, SQL, R, Python preferred), and knowledge of mathematical tools like Maple, Matlab (preferred) and SPSS (added advantage). Excellent problem-solving, communication, and presentation skills are required, along with previous experience in a technical pre-sales role. A Master's degree in Mathematics or Statistics is preferred, and immediate joiners are preferred. If you meet these qualifications and are looking for a challenging role in Business Intelligence & Analytics, we encourage you to apply for this position.,

As a Data Analyst specializing in Data Visualization & Reporting, you will be responsible for working with large datasets obtained from various inspection sources such as LiDAR, drones, and thermal imaging. Your primary tasks will include building insightful dashboards and reports using tools like Power BI, Tableau, or Looker. Additionally, you will be involved in developing and deploying predictive models and statistical analyses to detect anomalies and prevent failures. Collaboration with engineering and operations teams will be crucial as you translate complex data into operational insights. Ensuring high-quality, clean, and consistent data through the implementation of validation pipelines will be part of your routine. You will also leverage basic electrical domain knowledge for enriched interpretations, focusing on fault detection, insulator/conductor analysis, and more. Furthermore, your role will involve continuously improving analysis workflows and automating repetitive data processes. To excel in this position, you should have at least 3 years of hands-on experience as a Data Analyst/Data Scientist. Proficiency in SQL, Python (Pandas, NumPy), or R for data manipulation is essential. Strong skills in data visualization tools like Power BI, Tableau, or Looker are required, along with experience in working with time-series data or sensor-based data from industrial sources. Exposure to predictive analytics, ML algorithms, or data modeling techniques will be beneficial. A solid understanding of data pipelines and best practices in data management is necessary. Familiarity with AWS/Azure/GCP for data processing is a plus, and background or familiarity with geospatial data or tools like QGIS is considered a bonus. Preferred qualifications for this role include a degree in Data Science, Engineering, or Computer Science, as well as prior experience with inspection data, IoT, or utilities/power transmission systems. Knowledge of domain-specific platforms used for power line inspections and certification in data analysis/ML platforms like Google Data Analytics or Microsoft DA will be advantageous. In addition to technical skills, soft skills such as strong analytical thinking, attention to detail, and the ability to convert technical findings into business-focused insights are essential. Being a team player with cross-functional collaboration experience and effective written and verbal communication skills will contribute to your success in this role.,

Are you passionate about leveraging data and insights to solve complex business problems Are you seeking a role that offers a C-suite focused business advisory experience in the realm of data & analytics Do you aspire to contribute to the transformative changes shaping the current business landscape If your answer is yes, then we invite you to join our team. As a Technical Lead with 8-12 years of solid programming experience in Python and JavaScript, you will play a pivotal role in developing internal tools for data analysis and visualizations. Your responsibilities will include formulating, solutioning, and managing data-driven projects while working with a wide range of technologies such as Linux, R, SQL, HTML, CSS, JIRA, and Apache. Additionally, you will be involved in architecting and designing innovative solutions and products across multiple domains. To excel in this role, you must possess excellent verbal and written communication skills, a knack for building strong relationships, and the ability to adapt to a fast-paced environment. Whether collaborating with a team or working independently, you should demonstrate a high level of drive and efficiency in completing tasks with exceptional quality. Your role will involve developing base scaffolding frameworks, models, and algorithms, as well as integrating them with custom solutions tailored to meet client requirements. You will be responsible for designing Data Pipeline and Data Flow architecture, implementing Custom Delivery Framework, and assisting in building Conceptual Minimum Viable Product (MVP) solutions during the pre-sales phase. Joining our team will provide you with firsthand exposure to C-suite business advisory experiences in the data & analytics domain. You will have the opportunity to establish meaningful industry connections with data science experts, client teams, and domain specialists, contributing to impactful transformations in business practices. We encourage a culture of experimentation, risk-taking, and problem-solving, where your contributions will directly impact client satisfaction and project delivery timelines. Our company specializes in delivering innovative solutions that address complex business challenges through data-driven insights. By leveraging a low-code analytics platform, we have successfully advised clients across various industries on optimizing operations, enhancing customer satisfaction, and driving revenue growth. As a rapidly growing organization, we are seeking individuals who are passionate about data, eager to tackle intricate business problems, and committed to delivering value that exceeds client expectations. In addition to a stimulating work environment, we offer competitive benefits, including Provident Fund, and a supportive team of professionals who share a common goal of driving impactful change through data and analytics. If you are ready to embark on a rewarding journey of professional growth and innovation, we welcome you to explore this exciting opportunity with us.,

At CommBank, we believe in providing a work environment that is tailored to suit your needs, offering various flexible working options. Our team in Bangalore is currently seeking an Analyst specializing in Fraud & Scams Analytics to join the Fraud & Scams Analytics team. As an Analyst in Fraud & Scams Analytics, your primary responsibility will be to define and execute robust fraud analytics procedures for the Group. Working collaboratively with a team of diverse backgrounds, you will develop data features for fraud and scam detection models, enhance scripts to improve accuracy, and collaborate with analytics staff. Additionally, you will liaise with Data Scientists and rule writers to optimize fraud detection for the bank using self-service tools. The ideal candidate for this role should possess at least 3 years of experience in Data Analytics. You must be proficient in gathering and cleaning data from various sources, utilizing tools such as SQL, Python, or R, as well as AI virtual assistants for data manipulation. Your role will also involve performing exploratory data analysis to uncover patterns, correlations, and trends, applying statistical methods and machine learning techniques to analyze data, and providing actionable recommendations based on your findings. To excel in this position, you should have an analytical mindset with the ability to creatively solve problems. It is essential to stay updated on the latest trends and technologies in data analytics and machine learning, identifying opportunities for process improvements and automation. Effective collaboration within the analytics community and with stakeholders is crucial for success in this role. Candidates with a Bachelor's or Master's degree in computer science, engineering, or information technology are encouraged to apply. If you are already part of the Commonwealth Bank Group, including Bankwest and x15ventures, please apply through Sidekick to submit a valid application. We are committed to supporting you in your career growth and development. If you require additional support or have accessibility needs, please contact HR Direct at 1800 989 696. We aim to make the application process as seamless as possible for all candidates. Join our team and be part of safeguarding our customers from financial fraud and scams while contributing to the development of innovative fraud analytics procedures. Apply now and take the next step towards a rewarding career with us.,

As a Biostatistician at CPVIA, a clinical data analytics solutions company in Hyderabad, you will utilize your expertise in statistical programming and consulting to support pharmaceutical, biotechnology, and medical device companies. Your primary focus will be on accelerating drug development activities while maintaining high quality standards and cost efficiency through collaboration with a team of experienced professionals. With a minimum of 3 years of experience in the pharmaceutical industry, you will play a crucial role in providing internal statistical support by closely working with lab scientists, technicians, statisticians, and programmers. Your responsibilities will involve collaborating with various stakeholders to facilitate drug development activities and ensure successful project outcomes. To excel in this role, you are required to hold a university degree in Sciences or Engineering, with a post-graduate qualification in Biostatistics or equivalent statistical experience. You should have a strong grasp of statistical theory, diverse methodologies, and experimental designs. Proficiency in SAS, R (and JMP) is essential, along with effective communication skills to bridge theoretical concepts with practical applications. Being a team player is vital as you will be expected to share knowledge within multidisciplinary teams and contribute to study oversight and delivery. Experience in developing protocols, Statistical Analysis Plans (SAP), Tables, Figures, and Listings (TFL) is advantageous. Additionally, your technical skills in power calculation, simulations, and Quality Data Model (QDM) will be valuable assets in this role. If you meet the qualifications mentioned above and are passionate about making a meaningful impact in drug development, we encourage you to apply by submitting your resume to info@cpvia.com. Join us at CPVIA and be part of a dynamic team dedicated to driving innovation and excellence in clinical data analytics.,

As the Head of Engineering at KonProz GPT, you will play a crucial role in leading our engineering team to drive technical innovation and ensure the successful development and deployment of advanced AI systems for our platform. With your deep technical background in AI/ML and Generative AI, you will be instrumental in shaping the technical vision, architecture, and implementation of our cutting-edge technology. Your key responsibilities will include leading and managing a team of engineers focused on AI/ML and Generative AI solutions, overseeing the design and development process, and ensuring that engineering practices meet the highest standards. Collaboration with cross-functional teams to align technical aspects with business goals will be essential, along with staying updated on AI/ML trends and best practices to incorporate into our platform. In addition to your managerial duties, you will also contribute hands-on coding when necessary, mentor the engineering team, and lead them in delivering scalable, secure, and efficient software solutions. Your expertise will be crucial in ensuring that our product meets legal, tax, and regulatory requirements, with a deep understanding of these sectors. To qualify for this role, you should have 6-7 years of hands-on experience in AI/ML, Generative AI, and related technologies, along with proven experience in managing engineering teams while remaining technically involved. Proficiency in Python is a must, and familiarity with Java, Go, and R is preferred. Strong understanding of frontend technologies, backend technologies, authentication systems, and cloud technologies like AWS and Firestore is also required. A Bachelor's or Master's degree in Computer Science or a related field is necessary, along with strong problem-solving skills and the ability to thrive in a fast-paced environment. If you are passionate about leveraging technology to transform the legal, tax, and regulatory sectors in India, we welcome you to join our team at KonProz GPT.,

As a Senior Data & Analytics Engineer at Provider Mobility, you will be a key member of the Data and Product Analytics team supporting Ciscos Control Center Industrial IoT product. With 8+ years of experience in data analysis and pipeline engineering, you will play a crucial role in designing, building, and maintaining scalable data pipelines and analytics frameworks to meet business objectives. Collaboration with cross-functional teams will be essential to integrate data-driven insights into decision-making processes and SLA reporting for Service Providers. Your responsibilities will include designing and maintaining data pipelines and storage architecture, collaborating with teams to understand metric requirements and deliver actionable insights, ensuring data architecture performance and compliance with regulations, creating dashboards and visualizations for executives and customers, and mentoring data engineers. Staying updated on industry trends and emerging technologies in data analytics and engineering will also be a part of your role. Minimum Qualifications: - Bachelors degree in Computer Science, Data Science, Statistics, or related field - 8+ years of experience in data analysis, data pipeline engineering, or related role - Strong programming skills in Python, R, or Java - Proficiency in SQL and experience with relational databases - Experience with data visualization tools like Tableau, Power BI - Familiarity with agile software development and version control systems Preferred Qualifications: - Familiarity with big data technologies like Snowflake, Hadoop, Spark - Excellent problem-solving skills and attention to detail - Strong communication skills and ability to work collaboratively Join Provider Mobility and be a part of Ciscos inclusive culture that celebrates diversity and empowers employees to unlock their potential. We prioritize learning and development, offering opportunities for growth and career advancement. Our hybrid work trends and supportive environment enable you to give your best and be your best. As a Ciscovian, you can contribute to our purpose of powering an inclusive future for all, making a difference in communities and connecting through our Inclusive Communities. At Cisco, our people are at the heart of everything we do. We lead in technology that powers the internet, helping customers reimagine their applications, secure their enterprise, transform infrastructure, and meet sustainability goals. Every step we take is towards a more inclusive future, driven by our purpose and our people. Join us and take your next step towards a rewarding career filled with opportunities to make a positive impact. For applicants in the U.S. and/or Canada, we offer quality medical, dental, and vision insurance, 401(k) plan with matching contribution, disability coverage, life insurance, and wellbeing programs. Additionally, our incentive structure rewards performance and offers opportunities for growth based on revenue attainment.,

You will play a crucial role in producing key data and reports to support data review reporting development. This involves evaluating requirements, designing specifications, coordinating with programmers, programming reports, and ensuring validation and rollout activities are carried out effectively. You will provide quantitative analytical support independently or as part of a team, with minimal guidance and supervision. Your primary responsibilities will include: - Producing and tracking reports for various line functions within Global Drug Development to monitor clinical data - Creating understandable and actionable reports on clinical data for key stakeholders - Collaborating on user requirements documents, functional specifications, and testing scripts - Interacting with end-users to create specifications and work with programmers for successful delivery - Offering quantitative analytical support to global program teams and assisting in analyzing reports - Supporting the planning, execution, and close-out of Clinical Programs/Trials - Collating and delivering analytics reports for critical decision-making purposes - Maintaining appropriate documentation and working with internal SMEs and key stakeholders to analyze clinical program/trial operational data - Providing training to end-users on the best use of various data review tools - Programming reports of varying complexity within clinical reporting systems using SQL, PL/SQL, C#, VB script, SAS, Python, R - Demonstrating good knowledge of Novartis Clinical Data Standards for creating report specifications or outputs - Supporting special projects of limited scope, both clinical and non-clinical - Offering study-level expertise and involvement in CTTs - Leading or supporting special projects across various responsibilities, such as systems issues, processes, user support, and training Your performance will be evaluated based on: - Quality and timeliness of deliverables - Revisions to deliverables due to logic or programming errors - Customer feedback and satisfaction To be successful in this role, you should have: - At least 5-7 years of experience in clinical review, reporting programming, business analytics, or clinical trial setup in the pharmaceutical, CRO, or Life Science industry - Strong knowledge of programming languages (SQL, PL/SQL, C#, VB script, SAS, Python, R) - Familiarity with Data Review and/or Business Intelligence tools (e.g., Spotfire, JReview) - Understanding of clinical data management systems and relational databases applied to clinical trials - Attention to detail, quality, time management, and customer focus - Ability to communicate technical concepts to non-technical users - Strong verbal and written communication skills for global collaboration - Knowledge of Drug Development Process, ICHGCP, CDISC standards, and Health Authority guidelines - Capability to train and supervise new or less experienced associates Novartis offers a supportive community of smart, passionate individuals dedicated to making a difference in patients" lives. If you are ready to contribute to breakthroughs that change lives, join us in creating a brighter future together. For more information about Novartis and to explore career opportunities, visit: https://www.novartis.com/about/strategy/people-and-culture If you are interested in staying connected with Novartis for future career opportunities, sign up for our talent community: https://talentnetwork.novartis.com/network To learn about the benefits and rewards of working at Novartis, read our handbook: https://www.novartis.com/careers/benefits-rewards Novartis is committed to fostering an inclusive work environment and diverse teams that reflect the patients and communities we serve. If you require accommodation due to a disability, please contact [email protected] with your request and contact information, including the job requisition number.,

We are looking for a skilled and motivated Digital Analyst to become a part of our team at Novartis. As a Digital Analyst, your main responsibility will involve analyzing digital data, deriving insights, and refining our digital marketing strategies to enhance business growth. By closely collaborating with marketing teams, data scientists, and digital experts, you will evaluate digital performance, spot trends, and improve overall user experiences. This role offers an exciting opportunity to apply your analytical abilities and contribute to the digital revolution of a prominent global healthcare organization. Your key responsibilities will include conducting comprehensive analysis of digital data to reveal crucial insights, trends, and opportunities across diverse digital channels such as websites, mobile apps, and social media platforms. You will work with cross-functional teams to define digital performance metrics, KPIs, and success criteria, ensuring accurate tracking and data collection. Utilizing web analytics tools like Google Analytics and Adobe Analytics, you will measure, track, and report on digital performance metrics while also identifying areas for enhancement. Developing and maintaining dashboards and reports that offer actionable insights and visualizations to stakeholders will be part of your role. Furthermore, you will engage in competitive analysis and benchmarking to recognize best practices and emerging trends in digital marketing. Collaborating with data scientists and digital specialists, you will help implement data-driven marketing strategies and optimize digital touchpoints. It is essential to stay updated with industry trends, digital analytics methodologies, and emerging technologies to foster innovation and improve our digital capabilities. You will also assist in creating and upholding digital analytics frameworks, processes, and tools to ensure data accuracy, automation, and scalability. To be successful in this role, you should hold a Bachelor's degree in computer science, Marketing, Statistics, or a related field. A Master's degree would be advantageous. Additionally, having 2-4 years of experience in digital analytics or a relevant analytical role is preferred. Proficiency in digital analytics platforms like Google Analytics and Adobe Analytics, along with familiarity with digital marketing concepts, is crucial. Strong skills in SQL, Python, or R for data manipulation and analysis are required, and experience with data visualization tools like Power BI is beneficial. An analytical mindset, excellent communication and presentation skills, attention to detail, and the ability to manage multiple projects and meet deadlines are key attributes for this role. Experience in the pharmaceutical or healthcare sector is a plus. Fluency in English is mandatory, while additional language skills would be an advantage. If you believe that this Digital Analyst position at Novartis matches your skills and interests, we encourage you to apply and become part of our digital transformation journey. Novartis offers a collaborative and supportive environment where smart, passionate individuals like you can make a difference and drive breakthroughs that positively impact patients" lives. Join us in creating a brighter future together. For more information about Novartis and to explore career opportunities, please visit our website: https://www.novartis.com/about/strategy/people-and-culture If the current role at Novartis does not align with your career aspirations, you can join our talent community to stay connected and receive updates on suitable job openings: https://talentnetwork.novartis.com/network To learn more about the benefits and rewards offered by Novartis, please refer to our handbook: https://www.novartis.com/careers/benefits-rewards,

About us: 5paisa Capital Ltd. stands at the forefront of India's fintech revolution, offering a comprehensive digital platform for retail investors and traders. With a commitment to democratizing financial services, 5paisa provides a suite of products including Stocks, Futures & Options, Mutual Funds, IPOs, all accessible through user-friendly mobile applications and web platforms. Today 5paisa is a go-to platform for serious traders and investors. Role Overview: As a Quantitative Analyst, you will leverage your analytical and programming skills to support the writing, testing, and optimization of trading strategies, cleaning and storage of large datasets, creating, testing, and implementing risk and trading models. You will collaborate with cross-functional teams to troubleshoot, document, and implement data-driven solutions that improve the efficiency of trading and investment strategies. What Were Looking For: We're seeking a highly motivated individual with a strong interest in product management and a passion for the financial industry. The ideal candidate will be eager to learn, have excellent analytical skills, and be passionate about creating exceptional user experiences. What You Can Expect: Learning and Growth: Be part of a team that values continuous learning and encourages mentorship. Your journey with us will involve expanding your skill set and shaping your career path. Dynamic Environment: Expect a dynamic and challenging work environment where your expertise directly influences the success of our private cloud platform. Mentorship and Leadership: Experience a collaborative culture where your contributions matter. Foster a learning environment by providing mentorship and technical leadership. Responsibilities: API Development & Testing: - Maintain RESTful APIs for algo trading platforms, ensuring integration with trading systems. - Conduct testing of APIs, ensuring compliance with infosec best practices. - Troubleshoot and resolve issues related to API performance and functionality. Algorithmic Trading Strategies: - Develop and back test algorithmic trading strategies using advanced quantitative models and historical data. - Continuously monitor the performance of live trading strategies, improving existing strategies. - Document and present trading strategies and algorithms. Qualifications: Education: - Bachelors in engineering or maths or physics. - MBA is a plus but not mandatory. Experience: - 1-2 years of experience in any tech-related job. - Data Science/Engineering is a plus. Skills: - Proficiency in programming languages like Python (MUST). Knowledge of MATLAB, R, and functional programming is a plus. Competencies: - Analytical Skills: Ability to work with large datasets and develop strategies based on statistical analysis and market behavior. - Python Programming Expertise: Strong skills in building and maintaining APIs, data pipelines, and trading systems. - Problem-Solving: Capable of troubleshooting complex systems and optimizing strategies in real-time. - Communication: Clear ability to explain technical concepts to non-technical teams, including traders and risk managers. - Adaptability: Work in a fast-paced, dynamic environment with changing market conditions and strategy requirements. Why Join 5paisa: Innovative Culture: Be part of a company that is driving innovation in the fintech industry. Your role will contribute to the ongoing transformation of how people manage and access their money. Tech-Driven Solutions: Work on tasks that not only challenge your skills but also contribute to improving tech productivity, efficiency, and customer experience. Professional Growth: Join a team that values your growth and encourages you to take on challenges, learn, and develop your skills.,

You will be responsible for supporting all statistical programming, data review reporting, and analytics development aspects of assigned studies or project-level activities. Your role will involve producing and tracking reports for various line functions within Global Drug Development to monitor clinical data continuously. You will provide understandable and actionable reports on clinical data to key stakeholders and facilitate interaction with end-users in creating specifications and performing programming activities for successful delivery. In addition, you will provide quantitative analytical support to global program teams, support the planning, execution, and close-out of Clinical Programs/Trials, and collate and deliver analytics reports for critical decision-making. You will also create, file, and maintain appropriate documentation, work with internal subject matter experts and key stakeholders to provide analysis and interpretation of clinical program/trial operational data, and offer necessary training to end-users on the best and consistent use of various data review tools. Your key responsibilities will include programming reports of various complexity from documented requirements within the clinical reporting systems using SQL, PL/SQL, C#, VB script, SAS, Python, and R. It is essential to have a good understanding of Novartis Clinical Data Standards and their implementation for the creation of report specifications or outputs. Your performance will be measured based on the quality and timeliness of deliverables, revisions caused by logic or programming errors, and customer feedback and satisfaction. The minimum requirements for this role include 2-5 years of experience in clinical review and reporting programming, business analytics, and/or clinical trial setup in the pharmaceutical, CRO, or Life Science related industry. You should also have a strong knowledge of programming languages, data review tools, clinical data management systems, attention to detail, time management, customer focus, ability to translate technical concepts for non-technical users, and strong verbal and written communication skills. Moreover, you need to understand Drug Development Process, ICHGCP, CDISC standards, and Health Authority guidelines and regulations. Novartis offers a collaborative and supportive environment where smart and passionate individuals like you can make a difference in patients" lives. If you are ready to contribute to creating a brighter future, consider joining our Novartis Network and explore suitable career opportunities. Additionally, Novartis is committed to providing reasonable accommodation to individuals with disabilities. If you require accommodation during the recruitment process, please contact [email protected] with your request and contact information.,

As a Mercer Marsh Benefits Analytics QA Engineer, you will be contributing to the vision of delivering value to clients through data and analytics-based insights. Mercer Marsh Benefits (MMB) is a global leader in the health and benefits marketplace, operating in 135 countries and specializing in designing benefits solutions tailored to both businesses and their employees. Joining our rapidly growing organization in Mumbai, you can expect an environment that supports personal and professional development, opportunities to learn new tools and technologies, and involvement in creating data-driven solutions that add significant value for our clients. As part of the health and benefits industry, you will collaborate with industry leaders, global clients, and stay updated on the latest trends. At Mercer Marsh Benefits, you will have the chance to work on breakthrough data and analytics projects that contribute to the health and benefits industry. You will be responsible for bringing QA experience to define product testing frameworks, produce testing plans, and write test cases to ensure the quality of our products. This role reports to the MMB Analytics Data Governance Lead and requires collaborating with various stakeholders to resolve issues promptly. Your roles and responsibilities will include: - Developing and executing test plans, stories, scenarios, scripts, and procedures for ETL or Data Quality processes - Verifying data completeness, accuracy, and integrity throughout the ETL/Data Quality process - Identifying, documenting, and tracking defects in defect tracking systems and collaborating with developers to resolve issues - Conducting regression testing, performance testing, and ensuring quality through all stages of the ETL/Data Quality product lifecycle - Advising on preferred QA technologies, frameworks, and processes and implementing QA best practices To excel in this role, you need: - 5+ years of hands-on experience in data QA/testing role - Experience with Selenium for automated testing - Proven experience as a data-specific QA Team Lead or QA Engineer - Masters/bachelors degree in information sciences/engineering or equivalent - Strong understanding of web development languages and practices - Proficiency in using testing frameworks such as Cypress and Jest - Ability to evaluate testing outcomes against acceptance criteria and track bugs using tools like JIRA - Familiarity with AWS services, SQL, Python, R, and other relevant technologies - Excellent communication skills and experience working with international stakeholders If you have demonstrated experience in automated and manual testing frameworks, expertise in data-specific testing, experience in the Healthcare/Insurance industry, and the ability to build relationships with stakeholders across the globe, you will stand out in this role.,

As a Data Science Team Lead at our organization, you will be responsible for leading a team of data scientists, planning data projects, building analytic systems, and managing a team of data scientists and machine learning engineers. Your role will also involve participating in pre-sales activities and developing proposals. With your strong expertise in machine learning, deep learning, NLP, data mining, and information retrieval, you will design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data, creating reports, aligning data projects with organizational goals, understanding business problems, and designing end-to-end analytics use cases. Additionally, you will develop complex models and algorithms to drive innovation throughout the organization, conduct advanced statistical analysis to provide actionable insights, collaborate with model developers to implement scalable solutions, and provide thought leadership by researching best practices and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models, Classification models, and Unsupervised models, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, and Markov, real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large datasets, simulation/optimization, and distributed computing tools, excellent written and verbal communication skills, a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced startup-like environment, and an additional advantage of experience in semi, unstructured databases. Optional qualifications include programming skills in languages like C, C++, Java, or .Net.,

Are you eager to advance your career and gain valuable experiences in the field Do you have a strong desire to contribute to the digital transformation of Healthcare Are you excited about the opportunity to work in a start-up mode within a larger enterprise The Digital Caregiver Experience team is dedicated to creating platforms, services, and products for the 119K Caregivers (employees). We offer opportunities in Application development, Data Engineering, Data Analytics, Service Maturity/Quality of Service, Reporting & Analytics, and 3rd Party SaaS products integrations. We are a team of passionate product managers, engineers, and SREs who are committed to developing platforms and services that transform the experience of Caregivers and enable them to provide better care to patients. Our Team Culture: - Our work environment is collaborative and driven by a mindset of learning, exploration, and experimentation. - We empower and enable individuals and teams to reach their full potential. - We focus on outcomes, solving user pain points, and delivering predictably. - Our decision-making process is data-driven when it comes to the vision and roadmap of our products. Responsibilities: The ideal candidate will possess a combination of technical skills in full stack development and will work on the vision and roadmap of a product. They should excel at problem-solving and building end-to-end systems. The candidate should be collaborative, quality-driven, and focused on engineering excellence. - Lead Components/Modules in an end-to-end system with full ownership, emphasizing quality, schedule, and engineering excellence. - Scale up on solving design problems and assist Managers and Senior Engineers in the team. - Code, Test, Deploy, and Support features based on architecture parameters like Performance, Security, Reliability, Scalability, and Configurability. - Collaborate with the team to make decisions and set roadmaps with a focus on outcomes. - Simplify complex problems/systems and possess excellent debugging skills. - Practice code reusability and sharing across different components. A Day in the Life: - Work closely with the team on delivery and roadmap execution while continuously evolving the product. - Collaborate with Engineering Managers and Principal Engineers to build the product roadmap. - Work with the Service Engineering and Product Management team to ensure Quality of Service. - Collaborate with Global Engineering teams on shared goals with a focus on outcomes and a collaborative mindset. - Own the technical decisions and choices for the product. Qualifications: - 3 to 5+ years of experience in technical roles with a solid track record of shipping products. - Excellent interpersonal, verbal, and written communication skills. - Experience with Business Intelligence Solutions and a strong passion for data analysis and reporting. - Conceptual understanding of relational and NoSQL databases, indexing, partitioning, and parallel data processing. - Proficiency in writing SQL/R/Python scripts or any other scripting language for data retrieval and analytics. - Ability to create reports using tools like PowerBI, Tableau, or similar reporting tools. - Experience with cloud technologies (Azure/AWS) is preferred. - Experience in the Healthcare domain is a plus. - BS or MS in Computer Science or equivalent.,

You are looking for an Informatics Specialist to join the team in Bangalore. The ideal candidate will have experience in data analysis, database management, and information systems. It is important that you possess a strong ability to communicate technical concepts to non-technical stakeholders. Your responsibilities will include analyzing and interpreting complex data sets, developing and maintaining databases, collaborating with cross-functional teams, creating reports and dashboards, ensuring data quality, assisting in informatics strategies, providing training and support to users, and staying updated with informatics trends and technologies. To qualify for this role, you should have a Bachelor's degree in Computer Science, Information Technology, or a related field, along with 3 to 5 years of experience in informatics, data analysis, or related roles. Proficiency in SQL, Python, or R for data manipulation, experience with data visualization tools like Tableau or Power BI, strong problem-solving skills, attention to detail, excellent communication skills, and the ability to work independently and collaboratively in a hybrid environment are essential. Preferred skills for this position include experience in healthcare informatics or related industries, familiarity with machine learning concepts and tools, and knowledge of regulatory requirements related to data management.,

DOES THIS SOUND LIKE YOU Do you have firsthand experience in designing and executing quantitative research Would you consider yourself to have a high affinity for numbers and enjoy working with data in order to draw meaningful insights Are you naturally curious, comfortable to suggest ideas and can apply sound critical thinking skills to move towards a solution Does the idea of working collaboratively in a fast-paced business whilst also having the autonomy to make decisions appeal to you Sounds like youThen join our Bangalore team! WHY JOIN US We are seeking a Junior Market Research Consultant, referred to internally as an 'Analyst', to strengthen our project teams In this position, you will learn the ropes of how we successfully run our client projects and gain valuable experience in supporting all phases of a market research project In turn, through exposure to a diverse range of projects and tasks, you will be developed to become a comprehensive and versatile market researcher with growth opportunities in our company You will be collaborating with a team of experienced, skilled and curious project leads and method experts, each representing a wide background of academic disciplines Join the team of Factworkers who answer the most critical and strategic research questions for Silicon Valley giants and rising stars WHAT YOU'LL BRING Minimum of 1 year's hands-on experience in a quantitative primary research role (agency or client side preferred) Successful completion of studies (i-e Masters, PhD) in Business (i-e Marketing, MBA), Social Sciences (i-e Psychology) or a related field Experience in working with primary quantitative survey data, i-e creating questionnaires, collecting primary data, cleaning/validating data and charting/visualizing results Knowledgeable in statistics and quantitative research methods A sound mathematical understanding to analyse complex data Skilled in using data analysis tools and software (SPSS, R etc) Proficient in the use of Microsoft Office Suite and Google Workspace A proactive mindset and shows initiative, not afraid to ask questions and is naturally curious Ability to seek information, drive own learning path, quickly learn technical and complex processes and then apply these readily Strong communication skills with fluency in English (both spoken and written) WHAT YOU'LL DO Your overarching purpose is to support our team in the necessary phases of all projects In addition, you will be challenged to individually execute on certain phases, in close collaboration with the project leader This position will assist in all operational tasks to ensure the smooth and successful execution of our projects This includes planning and implementing robust quantitative research for ad-hoc and tracking projects A large focus of this role will be working very closely with the data in order to allow our projects leads to deliver compelling storied to our clients This involve data analysis, interpretation and visualization, as well as reporting and conceptualizing the results for the client presentations BENEFITS We provide a range of benefits to help our team perform at their very best: Flexible hours Hybrid work schedule (minimum of 3 days in-person presence required in our office located at HSR Layout, Bangalore) Ongoing training and development, both internal and external Regular team events Day off on your birthday Health insurance You'll find out more details on the benefits section of our career page WHO WE ARE Numbers are what we do and its our people who make them count Fact: Data means nothing without interpretation Youve got to put numbers to work to make them matter At Factworks, thats precisely what we do Were a team of curious minds spread across three offices in Berlin, Germany, Bangalore, India, and Silicon Valley, U S , all motivated by the drive to solve complex challenges through in-depth research and actionable insights Each Factworker possesses unique expertise, but our true strength lies in how we unite these individual superpowers through close collaboration and continuous learning Together, we answer the most critical and strategic research questions for Silicon Valley giants and rising stars, never forgetting to have fun along the way Factworks is committed to a diverse and inclusive workplace We promote equal opportunities regardless of gender, nationality, ethnicity, religion or belief, disability, age, sexual orientation and identity

We are looking for a highly skilled and experienced Sr. Associate to join our team in Business Analytics & Quant Trading, with 2-5 years of experience. Roles and Responsibility Develop and implement quantitative models to analyze complex business problems and provide actionable insights. Collaborate with cross-functional teams to design and execute trading strategies using advanced analytics techniques. Conduct market research and analysis to identify trends and opportunities for growth. Design and implement data visualizations to communicate complex data insights to stakeholders. Work closely with the development team to integrate new features and functionalities into existing systems. Stay up-to-date with industry trends and developments in quantitative learning and trading. Job Requirements Strong understanding of IT Services & Consulting industry operations and challenges. Experience with quantitative modeling, machine learning, and data visualization tools. Excellent analytical and problem-solving skills, with the ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Ability to develop and maintain large-scale data systems and architectures. Strong knowledge of business analytics principles and practices, with the ability to apply them in real-world scenarios.

Strong proficiency in Python.Experience with Large Language Models.Familiarity with machine learning and artificial intelligence.Experience with Google cloud platform. Required Candidate profile Desired Skills:Python, Artificial Intelligence, Machine learning, GCP Position Name: Data Scientist Client Name:Renault Work Location: Chennai Mode of Work : Hybrid

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days