64 R Programming Jobs

Python RWe are seeking a skilled Data Scientist proficient in Python and R to join our team The ideal candidate will have extensive experience developing machine learning and statistical models for regression, classification, and time series problems Additionally, they will have a strong understanding of software engineering principles and the ability to write clear, well structured, and testable code Key Responsibilities: Develop machine learning and statistical models for various business needs, including regression, classification, and time series analysis Implement models using Python and relevant libraries such as scikit learn, pandas, and numpy Apply machine learning techniques such as Linear Regression, Random Forest, Classification, and Ensemble methods Convert R code to Python and ensure seamless integration between the two languages Utilize R for data manipulation and analysis using tidyverse, dplyr, and data table Optimize and enhance existing R code for performance and scalability Collaborate with cross functional teams to understand business requirements and deliver data driven solutions Follow best practices in software engineering to produce clean, manageable, and testable code Stay updated with the latest industry trends and advancements in data science and machine learning Required Skills and Qualifications: Bachelor s or Master s degree in Computer Science, Statistics, Data Science, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Proven experience as a Data Scientist or similar role with hands on experience in Python and R Strong knowledge of machine learning algorithms and statistical modeling techniques Proficiency in Python libraries such as scikit learn, pandas, numpy, and matplotlib Expertise in R programming, particularly with tidyverse, dplyr, tidymodels, and data table Experience with relational databases and SQL Ability to convert R code to Python efficiently Familiarity with software engineering principles and best practices Strong problem solving skills and attention to detail Excellent communication and collaboration skills Ability to manage multiple projects and meet deadlines

Data Scientist Notice period/ Start Date :- Immediate / less than 60 days. Location : Bangalore,Hyderabad, Mumbai, Pune, chennai , NCR Below detail JD FYR, Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intreasted candidates please share CV On sneha.joshi@alikethoughts.com Thanks & Regards, Sneha Joshi | Talent Acquisition

You are an experienced R Analytics Lead responsible for managing the day-to-day operations in our R-based analytics environment. Your main duties will include monitoring the execution of existing R scripts, resolving failures through root cause analysis and data cleaning, supporting business teams with production data requests, and mentoring the R Ops team for improved process efficiency and incident handling. You will be in charge of overseeing the successful execution of scheduled R scripts, monitoring failures, investigating issues, and taking corrective actions. Troubleshooting script failures, identifying data or logic issues, and performing necessary fixes to ensure smooth output delivery will be a crucial part of your role. Additionally, you will handle raw or inconsistent production data by applying appropriate cleaning techniques for seamless script execution. In this position, you will fulfill various production data and reporting requests raised by business stakeholders using R and SQL. You will also be the go-to person for technical issues within the R Ops team, guiding and supporting team members in issue resolution. Identifying areas for improvement in existing R code performance, suggesting enhancements, and helping automate or simplify routine tasks will be key responsibilities. Collaboration with Development & QA teams to support testing, deployment, and monitoring activities for new script developments or changes in the production environment is essential. Furthermore, you will be responsible for training and mentoring team members on R coding standards, production support practices, database usage, and debugging techniques. The ideal candidate for this role should have at least 6 years of experience in analytics, with a minimum of 4 years in a lead or senior operations/support position. Strong hands-on experience in R programming, proficiency in SQL, and a background in handling production support, script monitoring, and issue resolution are required. Demonstrated leadership abilities, including team management, training, and coordination across departments, are also essential. Desirable skills for this role include familiarity with scheduling tools and database connections in a production environment, as well as the ability to document processes, communicate issues clearly, and interact effectively with business users.,

The ideal candidate should have 1 to 2 years of experience in providing technical training and mentoring. You must possess a strong understanding of Data Analytics and hands-on experience with Python, Advanced Python, R programming, SAS, and machine learning. Proficiency in SQL and Advanced SQL is essential, along with a basic understanding of Statistics. Knowledge of operating systems such as GNU/Linux and Network fundamentals is required. Additionally, familiarity with MS Office applications (Excel, Word, PowerPoint) is necessary. The candidate should be self-motivated, technology-driven, possess excellent analytical and logical skills, and be a good team player. Exceptional communication and presentation skills are a must, along with good aptitude skills being preferred. Responsibilities include the ability to quickly grasp new technologies and effectively train other employees. You should be capable of resolving technical queries, conducting training sessions, and ensuring placement-driven quality in the training process. The candidate should be able to work independently without constant supervision and actively participate in reviews and meetings. This is a full-time position with a day shift schedule. The work location is in person.,

The Senior Associate Portfolio Analytics role at Morgan Stanley Fund Services in Mumbai offers an exciting opportunity to be part of a dedicated team that provides fund administration services to the world's leading hedge funds. With over $600+ billion in Assets under Administration, Morgan Stanley Fund Services employs over 1,400 professionals across various global locations. As a member of the Portfolio Analytics group, you will play a crucial role in analyzing, understanding, and reporting on investment risk and performance for clients" portfolios. This involves providing portfolio transparency reporting, OTC derivatives valuation, and addressing other portfolio analytics needs for Morgan Stanley's global hedge fund clientele. Leveraging the group's proprietary web-based applications, you will collaborate closely with hedge fund clients and other internal teams within the division. You will be responsible for delivering periodic and customized quantitative analyses related to portfolio exposure, risk, and performance. Working alongside the global client coverage team, you will assist in addressing client queries regarding factor analysis of their portfolios. Additionally, you will prepare custom client reports involving risk and performance calculation, contribute to building automation solutions using tools like R/VBA or IT solutions, and participate in developing new products critical to the success of pre-trade quant offerings. To excel in this role, you should possess a master's degree in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, or Computing with 2-4 years of relevant experience. While certifications like CFA, CQF, or FRM are advantageous, they are not mandatory. Proficiency in Equities and Equity derivatives products, familiarity with multi-factor risk models, hands-on experience with R or Python programming, and knowledge of LaTeX, Markdown, and Shiny are essential. An analytical mindset, problem-solving ability, quantitative aptitude, and strong communication skills are key attributes for success in this position. The role involves working in shifts from 1 pm - 10 pm or 12 pm - 9 pm based on the US holiday calendar. Morgan Stanley is committed to fostering a supportive and inclusive work environment that enables individuals to reach their full potential. The organization values diversity and inclusion, and its workforce reflects a wide range of backgrounds, talents, perspectives, and experiences. Employees are encouraged to grow and advance based on their skills and talents, creating a culture of inclusion and opportunity for all. At Morgan Stanley, you can expect to work in a dynamic environment alongside top talent, where collaboration and creativity are highly valued. The organization's values of prioritizing clients, integrity, innovation, diversity, and giving back guide daily decision-making to benefit clients, communities, and employees worldwide. With a global presence across 42 countries and a commitment to employee well-being, Morgan Stanley offers attractive benefits and opportunities for career growth and development. For more information about Morgan Stanley's global offices, please visit https://www.morganstanley.com/about-us/global-offices. Join Morgan Stanley to be part of a team that thrives on collaboration, innovation, and continuous learning.,

The ideal candidate for this role should possess strong communication skills both verbally and in written English. You must be self-managed, responsive, and dedicated to providing excellent customer support. Being a quick learner and proactive in developing new skills while collaborating effectively with the team is essential. You should have a sense of urgency and the ability to manage multiple work requirements to meet deadlines. Flexibility and enthusiasm to exceed given instructions to create business value are highly valued. In terms of technical skills, you should have intermediate to advanced knowledge of Power BI and solid experience in the specification, design, development, or implementation of BI solutions. A good understanding of data security and section access models, as well as knowledge in data management and Python/R programming, is required. Strong user experience skills and the ability to provide appropriate advice to the business are necessary. Proficiency in working with complex data models and different schemas, along with experience in SQL/Dataverse, relational databases, and dimensional modeling, will be beneficial. Optional skills that would be advantageous include having a Power BI certification, any certification in Data Analytics/Data Engineering, knowledge of REST API connections/Power Connectors, experience with SAP BW and queries, experience with finance operations data, hands-on GUI development in BI, and familiarity with an agile development process. As for the roles and responsibilities, you will be responsible for providing business solutions for reporting and analysis using Power BI, SQL, and Dataverse. You will need to enhance and optimize existing solutions towards 100% automation and superior user satisfaction. Collaborating on new innovative solutions for the finance community using the latest technologies is part of the job. Rigorous detailed analysis, issue resolution, and data quality checks are crucial tasks. You will also prepare and execute test cases, ensure quality solutions for stakeholders, keep stakeholders updated on projects, assist in user acceptance tests, troubleshoot, provide end-user support, document technical specifications and user guidelines, and deliver end-user trainings. Driving innovative initiatives across projects and sharing best practices are expected. About 7N: 7N has been at the forefront of digitalization for decades. Our consultants work globally across industries to deliver projects that define new digital realities. We offer a specialized portfolio of IT services and solutions provided by the top 3% of IT professionals. Our expertise spans various industries, enabling digital transformation across the IT project life cycle. Benefits: - Opportunity to work with the latest technologies and be among the top 3% of technical consultants in your domain. - Excellent health benefits. - Competitive salary structure without any hidden deductions. - Work culture that provides flexibility, sensitivity, growth, and respect. - Association with a value-driven organization.,

The Data Analyst (Data Graph Solutions) position at RDIO TECH is seeking a talented Data Engineer to join our exceptional team of professionals. As a Data Analyst, you will be responsible for conducting exploratory analysis on graph data to identify patterns, connections, and relevant insights for the business. You will develop and execute queries in graph languages such as Cypher and GSQL to extract specific information and address business inquiries. Additionally, you will visualize graph data using appropriate tools like Neo4j Bloom, Gephi, or Python libraries to effectively communicate insights. Collaboration with data engineers to refine graph models and ensure data availability and quality is also a key aspect of this role. Identifying opportunities to apply graph analysis in various business domains to solve problems and optimize processes will be part of your responsibilities. Moreover, creating reports and presentations based on graph analysis, translating technical results into actionable insights for non-technical stakeholders is crucial. Staying updated on trends and best practices in graph analysis and data technologies is also expected. The ideal candidate should have proven experience in data analysis, with the ability to derive insights from large volumes of data. Practical knowledge of graph databases and their query languages (e.g., Cypher, GSQL) is essential. Proficiency in data visualization tools, preferably with experience in graph visualization, is desired. Strong SQL skills and experience with other programming languages (e.g., Python, R) for data analysis are required. The ability to identify and resolve data issues, including anomalies and inconsistencies in graph structures, is a must. Excellent communication and presentation skills, with the capability to articulate complex insights clearly and concisely to diverse audiences, are necessary. An analytical mindset and curiosity to explore data and discover hidden relationships are valued. A background in related fields such as Statistics, Data Science, Mathematics, Engineering, or equivalent is preferred. This position offers a hybrid work mode (3 days in office, 2 days remote) and is based in Barueri, SP. Proficiency in English (B2-C2 level) for effective communication is required. The contracting options available are PJ or Cooperated. If you believe you meet the qualifications and are excited about the opportunity to contribute to our team, we encourage you to apply for the Data Analyst (Data Graph Solutions) role at RDIO TECH.,

As a Statistical Programmer L2 at our company, you will be reporting to the Principal Statistical Programmer 3/ Lead, Statistical Programming (L4 (3) or M1). Your primary responsibility will be to work independently on the majority of Mapping activities, including SDTM/Client specific mappings of simple and medium complexity for the assigned client within the specified environment for the standard domains. It is essential for you to have a solid understanding of the clinical domain, mapping logic, and data issues. Additionally, learning the product/system/mechanism used for SDTM mapping is a crucial part of your role. Your role will require you to have the following Knowledge, Skills & Abilities: - Clinical Domain knowledge - Familiarity with CDISC Standards (SDTM Knowledge, ADaM, Submission package) - SAS Programming experience up to 2 years - Python Programming (added advantage) - R Programming (added advantage) - Good Communication skills, learning attitude, and ability to work effectively within a team To be eligible for this position, you should have: - Graduation in Pharmacy/Computer Science, or any equivalent graduation from a reputed institute - Total experience between 2 - 4 years Your responsibilities will include but not be limited to: - Ability to pick up multiple tools/technologies on the job - Importing and Exporting raw data - Contributing to Mapping specifications - Utilizing SAS/R programming/Python programming skills for clinical trial study submissions - Developing programs to identify data issues and reporting them to the appropriate team - Building CDISC/regulatory compliant datasets following appropriate guidelines - Understanding CRF annotations and ensuring consistency with raw data - Ability to debug custom functions/SAS Macros and resolve issues - Good understanding of clinical data and domain - Following Client Processes and SOPs - Assisting senior team members in quality control processes and team metrics - Collaborating with Biostatistics and Data Management members on clinical projects - Communicating with programming and statistics leads - Ensuring compliance with company policies/SOPs About Us: Saama automates key clinical development and commercialization processes using artificial intelligence (AI), Generative AI, and advanced-analytics to accelerate time to market. We offer AI-backed SaaS solutions, product-based industry services, and accelerators. To discover more, visit saama.com.,

At ZS, passion changes lives. ZS is a management consulting and technology firm dedicated to enhancing lives and how we lead them. The company's most valuable asset is its people. Working at ZS means collaborating with a dynamic group of thinkers and experts who are developing groundbreaking solutions for patients, caregivers, and consumers globally. ZSers make an impact by adopting a client-first approach to every project. Through collaborative partnerships with clients, ZS creates tailored solutions and technology products that drive value and deliver tangible results in key areas of their operations. If you bring a thirst for learning, innovative ideas, courage, and a drive to make a significant impact on people's lives, ZS is the place for you. ZS values the diverse identities, experiences, and belief systems of its employees, which shape their individuality and uniqueness. The company believes that personal interests, identities, and a thirst for knowledge are integral to success at ZS. To learn more about ZS's efforts in diversity, equity, and inclusion, as well as the networks that support ZSers in fostering community spaces, accessing necessary resources for growth, and amplifying their voices, visit ZS's official website. As a Life Science R&D Technologist in Drug Development at ZS, you will collaborate with clients to discover and develop innovative medicines that enhance patients" lives. The role involves working on consulting, analytics, and technology projects across various domains. With a team of over 3500 professionals, ZS delivers R&D programs, invests over $100 million in R&D data, analytics, and technology assets, and serves more than 100 clients on R&D initiatives. The Clinical/Drug Development division at ZS has a strong track record of contributing to client projects in drug development. The Drug Development R&D Technologists possess a deep understanding of technological solutions for clinical development processes, including clinical study design, data management, analytics, and quality risk management platforms and products. They are proficient in software related to clinical trial protocol design, electronic data capture (EDC), data conformance, transformation, analysis, and reporting. The team specializes in designing custom solutions for clinical design, clinical data management, and analytics systems, adhering to industry standards such as CDISC, FHIR, and OMOP. As a ZS Life Science R&D Technologist in Drug Development, you will design and implement innovative solutions in clinical data management and analytics. You will work on strategy building, assessment, and technology implementation projects as a business and data analyst. Your responsibilities will include leading and participating in clinical business process discussions with clients, gathering requirements, authoring user stories, facilitating Agile meetings, and providing techno-functional liaison between client business users and project engineering teams. Qualified candidates for this role should have a Bachelor's degree in Pharma, Bioinformatics, Medicine, or related disciplines, with a Master's degree in Business Analysis, Engineering, or Science being preferred. The ideal candidate will have 3-6 years of experience in the Life Science domain as a solution architect, business analyst, or data analyst, with expertise in drug development and clinical data management areas. Experience in GxP compliant solutions, clinical data coordination, and working with programming languages like R, Python, and SAS is advantageous. ZS offers a comprehensive total rewards package, including health and well-being benefits, financial planning support, annual leave, personal growth opportunities, and professional development programs. The company's commitment to flexible and connected working allows employees to combine work from home and on-site client/ZS office presence, fostering a collaborative culture and enabling individual and global team members to thrive. Travel may be required based on project and client needs, providing opportunities for professional growth and diverse experiences. ZS is dedicated to building a diverse and inclusive workforce where individuals bring their unique perspectives to drive impactful change and achieve better outcomes for all. The company values candidates from all backgrounds and encourages applications from individuals who may not meet all the listed requirements. ZS is an equal opportunity employer committed to providing advancement opportunities without discrimination. To apply for a position at ZS, candidates must have or be able to obtain work authorization for their intended country of employment. An online application, along with a complete set of transcripts (official or unofficial), is mandatory for consideration. For more information about ZS and its opportunities, visit the official ZS website.,

As a Data Scientist focused on R programming, you will be responsible for conducting analysis using the R statistical programming language. Working closely with the research team, your role will involve the creation, management, and analysis of extensive and intricate datasets. Your analytical tasks will encompass developing predictive models, conducting text data mining, and building customized statistical models. The ideal candidate for this position should hold a Master's degree in statistics, economics, mathematics, or a related field. Proficiency in R programming is essential, including the ability to code in R and a strong grasp of econometrics principles. Candidates with a minimum of 2 years of experience in R programming are preferred, although fresh graduates comfortable with R will also be considered. You should possess the capability to handle large datasets effectively and exhibit qualities such as high energy, a team-oriented mindset, and a positive attitude. Problem-solving skills are crucial, along with the ability to independently research and address partner inquiries promptly and efficiently. Collaboration is a key aspect of our work culture, where teamwork, mutual support, and knowledge-sharing are highly valued. In this role, you will be expected to develop analytical frameworks to assess information, situations, and data, distinguishing between critical and trivial aspects using the 80/20 principles. Strong numerical proficiency is essential for analyzing and interpreting data, enabling you to present insights in a clear and concise manner to your team, colleagues, and management. Building strong partnerships and fostering high-level relationships with partners is a key aspect of this position. You will be involved in developing new business opportunities and leveraging partnerships to drive growth and innovation. The compensation for this position is competitive and aligned with the best practices in the industry. Additionally, you will have the opportunity to receive ESOPs from one of the most successful fintech companies in India. This role offers a chance to make a meaningful impact on people's lives and contribute as a change agent in the banking services sector.,

You will be joining the exciting Swiss Re journey aimed at transforming its global L&H experience studies (ES) landscape. Your primary responsibility will involve shaping, influencing, introducing, and maintaining a new standardized and state-of-the-art solution tailored for the global L&H experience studies community. The Leap R Migration Team is a newly formed global team dedicated to supporting the adoption of the Leap R tool by local experience studies teams. This tool has been developed based on a global methodology to enable ES actuaries to efficiently undertake experience studies using R, thereby facilitating improved generation of insights for pricing and other stakeholders. As part of the Experience Studies Centre within L&H Portfolio Steering & Monitoring under the Chief Underwriting Office, the team collaborates closely with local ES teams to achieve migration targets. As the candidate for the role, reporting to the L&H Experience Studies Product Manager, your key responsibility will be to build and lead the Leap R Migration Team. This team is tasked with supporting the rollout and adoption of the Leap R ES engine by local experience studies teams in Asia and EMEA. Your leadership skills will be crucial in planning migrations of studies previously conducted with SAS or R to be transitioned to Leap R. In collaboration with your team, you will deliver experience analyses for stakeholders, including experience studies, pricing, and valuation. Key Responsibilities: - Hiring and forming the Leap R Migration Team in collaboration with the L&H ES Product Manager - Providing technical guidance to the team and developing customized programs for team members - Offering day-to-day management support - Planning and managing the delivery of migrated studies by the team to achieve annual migration targets - Developing and maintaining processes, frameworks, and standard operating procedures - Ensuring migration of experience studies aligns with global methodology and standards - Fostering collaboration across regions and central teams to ensure a common global approach Essentials: - Qualified actuary with 10+ years of experience in L&H reinsurance, primary insurance, or consulting - Hands-on experience with L&H experience studies and governance framework - Working knowledge in R, Python, SAS, or other actuarial programming languages - Experience in managing medium-sized teams effectively - Excellent interpersonal communication and stakeholder influencing skills - Ability to work independently and collaboratively to achieve successful delivery Nice to Have: - Expertise in a variety of L&H products across global markets/regions Swiss Re is a leading provider of reinsurance, insurance, and risk transfer solutions, committed to making the world more resilient. With a workforce of over 14,000 employees worldwide, we anticipate and manage a wide range of risks, offering innovative solutions to our clients. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions matching your skills and experience.,

As a Data Scientist with 7 to 10 years of experience, you will be based in Chennai and work in a hybrid job mode. Your primary role will involve developing data-driven insights and innovations within the Sidekick product. This will include a focus on analytics, dashboarding, and Generative AI research and development. Your responsibilities will include developing and maintaining data analytics and dashboards for the Sidekick product to provide key insights to stakeholders. You will also conduct research and development in Generative AI to enhance Sidekick features and functionality. Analyzing large datasets to identify trends, patterns, and opportunities for improvement will be a crucial part of your role. Collaborating with product and engineering teams to transform insights into actionable strategies will also be expected. Additionally, you will be required to develop and implement machine learning models to support Sidekick's capabilities. To excel in this role, you should possess skills in R Shiny, R programming, dashboarding, and AI development. Your experience should span 7 to 10 years in data science with a strong emphasis on analytics and model development. Proficiency in programming languages such as Python, including hands-on experience with relevant libraries like pandas, scikit-learn, TensorFlow, or PyTorch is essential. Furthermore, familiarity with data visualization tools and expertise in machine learning and Generative AI techniques are also highly desirable.,

As a Senior Scientist in Decision Sciences at Western Union, based in Pune, India, you will be a pivotal part of the team responsible for managing fraud losses and optimizing revenue opportunities for online transactions. Your role will involve developing and maintaining risk models and rules to safeguard customers and Western Union against fraudulent activities. Your primary responsibilities will include: - Developing real-time and batch risk models to screen online transactions and prevent fraudulent activities - Documenting and communicating model results and insights internally - Continuously evaluating and enhancing the effectiveness of risk models and rules - Analyzing online transaction data to identify opportunities for reducing losses and creating actionable plans to capitalize on these opportunities - Profiling customer behavior to enhance the performance of models and rules To be successful in this role, you should possess: - A Master's or Graduate degree in a quantitative field such as Statistics, Math, Operations Research, MS, M-tech, or B-tech - A minimum of 5 years of relevant experience, with a proven track record in using advanced quantitative and statistical techniques - Strong problem-solving and analytical skills - Excellent communication skills to convey fraud insights effectively - Proficiency in SQL and at least one of the Python/R programming languages, with a willingness to learn new tools and technologies on the job - Experience in developing predictive models such as logistic regression, decision trees, and machine learning techniques - Intermediate knowledge of Microsoft Excel/Power BI/PPT and exposure to cloud systems like AWS Sagemaker/Dataiku would be advantageous At Western Union, we are committed to making financial services accessible worldwide and transforming lives and communities. Join our diverse and customer-centric team to be part of the future of financial services. As a valued employee, you will have ample opportunities for skill development, career advancement, and a competitive compensation package. The role is categorized as Hybrid, allowing you to work flexibly between home and office, with a minimum requirement of three days in the office per week. If you are ready to contribute to the future of financial services and make a meaningful impact, apply now and be part of Western Union's mission to connect people and businesses globally.,

As a Software Trainer at our company, you will be responsible for imparting knowledge and training in various programming languages and technical skills. You should possess a qualification of M.Tech or MCA to be considered for this role. Your main responsibilities will include teaching the following languages and technologies: - Python - C++/C/R programming - Java - HTML, CSS, JavaScript, PHP - Networking (Packet Tracer) - VMware - MATLAB programming - Linux - SQL/PLSQL In addition to technical expertise, you should also have good communication skills to effectively convey complex concepts to the learners. The ideal candidate will have a minimum of 1-15 years of experience in the field, although candidates with more experience are also welcome to apply. This is a full-time position with a morning shift schedule. The work location will be in person, and the application deadline for this role is 05/08/2025. As part of our benefits package, we offer Provident Fund to our employees. If you are passionate about teaching and have a strong background in software development, we encourage you to apply for this position and be a part of our dynamic team.,

You should hold a Bachelor's degree in Physics, Mathematics, Engineering, Metallurgy, or Computer Science, along with an MSc in a relevant field such as Physics, Mathematics, Engineering, Computer Science, Chemistry, or Metallurgy. Additionally, you should possess at least 8 years of experience in Data Science and Analytics delivery. Your expertise should include deep knowledge of machine learning, statistics, optimization, and related fields. Proficiency in programming languages like R and Python is essential, as well as experience with machine learning skills such as Natural Language Processing (NLP) and deep learning techniques. Furthermore, you should have hands-on experience with deep learning frameworks like TensorFlow, Keras, Theano, or PyTorch, and be familiar with working with large datasets, including knowledge of extracting data from cloud platforms and the Hadoop ecosystem. Experience in Data Visualization tools like MS Power BI or Tableau, as well as proficiency in SQL and working with RDBMS for data extraction and management, is required. An understanding of Data Warehouse fundamentals, experience in productionizing Machine Learning models in cloud platforms like Azure, GCP, or AWS, and domain experience in the manufacturing industry would be advantageous. Demonstrated leadership skills in nurturing technical talent, successfully completing complex data science projects, and excellent written and verbal communication are essential. As an AI Expert with a minimum of 10 years of experience, your key responsibilities will include serving as a technical expert, providing guidance in the development and implementation of AI solutions, and collaborating with cross-functional teams to integrate AI technologies into products and services. You will actively participate in Agile methodologies, contribute to PI planning, and support the technical planning of products. Additionally, you will analyze technical requirements, propose AI-based solutions, collaborate with stakeholders to design AI models that meet business objectives, and stay updated on the latest advancements in AI technologies. Your role will involve conducting code reviews, mentoring team members, and driving the adoption of AI technologies across the organization. Strong problem-solving skills, a proactive approach to problem resolution, and the ability to work under tight deadlines without compromising quality are crucial for this role. Overall, you will play a critical role in driving significant impact and value in building and growing the Data Science Centre of Excellence, providing machine learning methodology leadership, and designing various POCs using ML/DL/NLP solutions for enterprise problems. Your ability to learn new technologies and techniques, work in a fast-paced environment, and partner with the business to unlock value through data projects will be key to your success in this position.,

We are looking for a highly skilled Performance Testing Engineer with expertise in Apache JMeter to join our QA team. As a Performance Engineer at Boomi, you will be responsible for validating and recommending performance optimizations in our computing infrastructure and software. Working closely with Product Development and Site Reliability Engineering teams, you will be involved in performance monitoring, tuning, and tooling. Your role will involve analyzing software architecture, identifying potential areas for performance improvements, and working on capacity planning and benchmarking for new microservices. You will also design, automate, and execute scalability and resiliency tests using tools like blazemeter, Neoload, JMeter, and Chaos Monkey/Gremlin. Additionally, you will use observability stack to improve diagnosability and address performance bottlenecks. Your expertise in performance engineering fundamentals, monitoring performance using various tools, understanding AWS services, and recommending optimal resource configurations will be crucial. You should also have experience in analyzing heap dump, thread dump, SQL slow query log, and identifying performance bottlenecks. Flexibility to work in a remote and geographically distributed team environment is desired. Key Responsibilities: - Expert in performance engineering fundamentals such as arrival rate, workload models, responsiveness, computing resource utilization, scalability, and resiliency - Monitoring performance using native Linux OS, APM, and Infrastructure monitoring tools - Understanding AWS services to analyze infrastructure bottlenecks - Using tools like NewRelic and Splunk for APM and infrastructure monitoring - Analyzing heap dump, thread dump, SQL slow query log for performance optimization - Recommending optimal resource configurations in Cloud, Virtual Machine, Container, and Container Orchestration technologies - Flexibility to work in a remote and geographically distributed team environment Desirable Skills: - Experience in writing data extraction and custom monitoring tools using programming languages like Java, Python, R, Bash - Capacity planning and modeling using AI/ML or queueing models - Performance tuning experience in Java or similar application code Join us at Boomi as a Performance Engineer and contribute to the best work of your career while making a profound social impact. At Boomi, we value a culture of caring, continuous learning, interesting work, balance, and flexibility. If you are passionate about solving challenging problems, working with cutting-edge technology, and making a real impact, explore a career with us at Boomi.,

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.,

Data Scientist Notice period/ Start Date :- Immediate / less than 60 days. Location : Bangalore,Hyderabad, Mumbai, Pune, chennai , NCR Below detail JD FYR, Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intreasted candidates please share CV On kalyani.kadhare@alikethoughts.com Thanks & Regards, Kalyani | Talent Acquisition

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems - the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You'll Do - Develop and apply advanced statistical models that help clients understand dynamic business issues. - Leverage analytic techniques to use data to guide client and ZS team decision-making. - Design custom analyses in R, Tableau, SAS, Visual Basic, and Excel to investigate and inform client needs. - Synthesize and communicate results to clients and ZS teams through oral and written presentations. - Develop client relationships and serve as a key point of contact on aspects of projects. - Provide client and ZS teams project status updates. - Create project deliverables and implement solutions. - Advance problem-solving skills and improve ZS's capabilities. - Guide and mentor Associates on teams. What You'll Bring - Experience in working with the Pharma Industry. - Experience in working with real-world data sources such as patient claims data, EMR, consumer data, etc. - Experience in the analysis of large data sets; SQL-R, programming skills. - Experience in the statistical design and analysis of prospective or retrospective observational studies and familiar with working with large epidemiological datasets focusing on anonymized data. - 3 - 6 years of work experience with domain knowledge/expertise in Healthcare/Life Sciences/Med Tech is preferred. - MBA with bachelor's (and often graduate) degrees in engineering, business, psychology, or physical/life sciences with a strong academic record of analytic and quantitative work. - Agile project planning and project management skills. - Excellent communication skills. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client-facing ZSers; the business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com,

Genpact is a global professional services and solutions firm with a team of over 125,000 professionals in more than 30 countries. Driven by curiosity, agility, and the desire to create lasting value for clients, we serve leading enterprises worldwide, including the Fortune Global 500. Our purpose is the relentless pursuit of a world that works better for people, and we achieve this through our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Principal Consultant, Research Data Scientist. We are looking for candidates with relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. The ideal candidate should have full cycle experience in at least one large-scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, technology & analytic solutioning, implementation, and change management. Experience in Hadoop, including development in the map-reduce framework, is also desirable. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems, and working with database teams to deliver large-scale text analytic solutions. Responsibilities: - Develop transformative AI/ML solutions to address clients" business requirements - Manage project delivery involving data pre-processing, model training and evaluation, and parameter tuning - Manage stakeholder/customer expectations and project documentation - Research cutting-edge developments in AI/ML with NLP/NLU applications in various industries - Design and develop solution algorithms within tight timelines - Interact with clients to collect and synthesize requirements for effective analytics/text mining roadmap - Work with digital development teams to integrate algorithms into production applications - Conduct applied research on text analytics and machine learning projects, file patents, and publish papers Qualifications: Minimum Qualifications/Skills: - MS in Computer Science, Information Systems, or Computer Engineering - Relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms Technology: - Open Source Text Mining paradigms (NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene) and cloud-based NLU tools (DialogFlow, MS LUIS) - Statistical Toolkits (R, Weka, S-Plus, Matlab, SAS-Text Miner) - Strong Core Java experience, programming in the Hadoop ecosystem, and distributed computing concepts - Proficiency in Python/R programming; Java programming skills are a plus Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG, with text analytics experience on large structured and unstructured data - Knowledge of AI Methodologies (ML, DL, NLP, Neural Networks, Information Retrieval, NLG, NLU) - Familiarity with Natural Language Processing & Statistics concepts, especially in their application - Ability to conduct client research to enhance analytics agenda Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, and Machine learning/Deep learning methods - UI development paradigms for Text Mining Insights Visualization - Experience with Linux, Windows, GPU, Spark, Scala, and deep learning frameworks Methodology: - Social Network modeling paradigms, tools & techniques - Text Analytics using NLP tools like Support Vector Machines and Social Network Analysis - Previous experience with Text analytics implementations using open source packages or SAS-Text Miner - Strong prioritization, consultative mindset, and time management skills Job Details: - Job Title: Principal Consultant - Primary Location: India-Gurugram - Schedule: Full-time - Education Level: Master's/Equivalent - Job Posting Date: Oct 4, 2024, 12:27:03 PM - Unposting Date: Ongoing - Master Skills List: Digital - Job Category: Full Time,

Levitation Infotech is offering an Internship position for an R Shiny Intern. As an intern at Levitation Infotech, you will be responsible for developing R Shiny applications, creating interactive data visualization tools, and utilizing R programming for statistical analysis. While there is some flexibility for remote work, the primary location for this role is in Noida. To excel in this role, you should possess skills in R Programming, Shiny Development, and Data Visualization. Additionally, you should have expertise in Statistical Analysis and Data Interpretation. Experience in creating interactive web applications is crucial, along with strong problem-solving and analytical abilities. The ability to work both independently and collaboratively in a team is highly valued. Excellent communication and presentation skills are essential for effective collaboration within the company. Ideally, you should be pursuing or have completed a Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field. Knowledge of machine learning concepts would be considered a plus for this role. If you are passionate about leveraging technology for positive change and enjoy working in a dynamic and innovative environment, this Internship opportunity at Levitation Infotech could be the perfect fit for you. Join us in our mission to provide comprehensive technology solutions for businesses to scale and make a significant impact in the industry.,

Genpact is a global professional services and solutions firm with over 125,000 employees in more than 30 countries. We are driven by curiosity, entrepreneurial agility, and the desire to create lasting value for our clients, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people, and we serve leading enterprises with deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Senior Principal Consultant, Research Data Scientist. The ideal candidate should have experience in Text Mining, Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. It is desirable to have full-cycle experience in at least one Large Scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation, and Change Management. Experience in Hadoop, including development in the map-reduce framework, is also required. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems and working with database teams to deliver large-scale text analytic solutions. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities include developing transformative AI/ML solutions, managing project delivery, stakeholder/customer expectations, project documentation, project planning, and staying updated on industrial and academic developments in AI/ML with NLP/NLU applications. The role also involves conceptualizing, designing, building, and developing solution algorithms, interacting with clients to collect requirements, and conducting applied research on text analytics and machine learning projects. Qualifications we seek: Minimum Qualifications/Skills: - MS in Computer Science, Information systems, or Computer engineering - Systems Engineering experience with Text Mining/NLP tools, Data sciences, Big Data, and algorithms Technology: - Proficiency in Open Source Text Mining paradigms like NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud-based NLU tools such as DialogFlow, MS LUIS - Exposure to Statistical Toolkits like R, Weka, S-Plus, Matlab, SAS-Text Miner - Strong Core Java experience, Hadoop ecosystem, Python/R programming skills Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Understanding of NLP & Statistics concepts, applications like Sentiment Analysis, NLP, etc. Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, Machine learning/Deep learning methods - UI development paradigms, Linux, Windows, GPU Experience, Spark, Scala - Deep learning frameworks like TensorFlow, Keras, Torch, Theano Methodology: - Social Network modeling paradigms - Text Analytics using NLP tools, Text analytics implementations This is a full-time position based in India-Noida. The candidate should have a Master's degree or equivalent education level. The job posting was on Oct 7, 2024, and the unposting date is ongoing. The primary skills required are digital, and the job category is full-time.,

As a Junior Data Analyst/Trainer in our dynamic team, you will be responsible for providing advanced-level training in data analytics to students with technical backgrounds and working professionals aiming to transition into the field. Your primary focus will be on delivering tailored training programs to meet the specific needs of individuals venturing into data analytics. Your key responsibilities will include conducting advanced training sessions covering a wide range of topics such as data preparation and analysis using tools like Excel, SQL, Tableau, and Python. You will guide participants through hands-on projects to enhance their understanding and practical application of various data analytics techniques. Furthermore, you will play a crucial role in assisting students in conceptualizing, planning, and executing academic projects that showcase their proficiency in data analytics. You will be directly responsible for overseeing all training activities, including classes, project development, evaluation, and mentoring of junior trainees. This is a full-time, permanent position that offers benefits such as commuter assistance and internet reimbursement. The work location is in person, and the application deadline for this role is 28/07/2025, with an expected start date on the same day. If you are passionate about data analytics and enjoy empowering others through education and hands-on training, we encourage you to apply for this exciting opportunity.,

As a Senior R Developer at MResult, you will play a crucial role in supporting the development, validation, and deployment of models and tools used in drug development and clinical research. Your responsibilities will include developing and maintaining R scripts, packages, and Shiny applications for data analysis and visualization. You will be involved in performing statistical analysis and data manipulation related to clinical trials and PK/PD data. Collaboration with pharmacometricians and clinical scientists will be key as you work together to develop PK models and support modeling workflows. Automating data cleaning, processing, and reporting tasks will be part of your daily activities. You will also integrate PK/PD datasets with clinical trial data and prepare analysis-ready datasets. Ensuring code validation and documentation as per regulatory compliance standards such as FDA and EMA will be essential. In addition to technical responsibilities, you will generate reports and graphical outputs using tools like R Markdown and participate in cross-functional project teams, providing input on statistical and modeling strategies. To succeed in this role, you should have a Bachelor's or Masters degree in Statistics, Data Science, Bioinformatics, Pharmacology, or a related field and a minimum of 5 years of experience in R programming. Experience with R package development, version control using Git/GitHub, and hands-on experience in Pharmacokinetics (PK) is required, preferably in a clinical or pharmaceutical setting. A strong understanding of PK/PD concepts, NONMEM outputs, and model diagnostics will be beneficial. Excellent problem-solving skills, the ability to communicate complex results to non-technical stakeholders, attention to detail, and a commitment to code quality and reproducibility are essential qualities for success in this role. At MResult, you will have the opportunity to work with some of the world's most recognized brands, access growth opportunities, and contribute to cutting-edge solutions while enjoying the flexibility of hybrid work models. As an equal-opportunity employer, MResult is committed to fostering an inclusive environment free of discrimination and harassment. Join us at MResult, where your ideas help shape the future.,

As a Software Trainer for our team, you will be responsible for imparting knowledge and training on a variety of programming languages and technologies. Your primary focus will be on teaching languages such as Python, C++/C/R programming, Java, HTML, CSS, JavaScript, PHP, Networking (Packet Tracer), VMware, MATLAB programming, Linux, and SQL/PLSQL. Your expertise in these areas will be crucial in guiding and mentoring individuals looking to enhance their skills. To excel in this role, you must possess a qualification of M.Tech or MCA. Additionally, having good communication skills will be essential to effectively convey complex technical concepts to the learners. We are seeking candidates with experience ranging from 1 year to 15 years and above, who can bring a wealth of practical insights and industry knowledge to the training sessions. This is a full-time position with benefits including Provident Fund. The work schedule is set for the morning shift, and you will be required to work in person at our designated work location. If you are passionate about sharing your expertise and shaping the next generation of tech professionals, we encourage you to apply before the application deadline on 25/07/2025.,