3930 R Jobs - Page 23

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BSc Service Line Data & Analytics Unit Responsibilities Consulting Skills: oHypothesis-driven problem solvingoGo-to-market pricing and revenue growth executionoAdvisory, Presentation, Data StorytellingoProject Leadership and Execution Additional Responsibilities: Typical Work Environment Collaborative work with cross-functional teams across sales, marketing, and product development Stakeholder Management, Team Handling Fast-paced environment with a focus on delivering timely insights to support business decisions Excellent problem-solving skills and ability to address complex technical challenges. Effective communication skills to collaborate with cross-functional teams and stakeholders. Potential to work on multiple projects simultaneously, prioritizing tasks based on business impact Qualification: Degree in Data Science, Computer Science with data science specialization Master’s in business administration and Analytics preferred Technical and Professional Requirements: Technical Skills: oProficiency in programming languages like Python and R for data manipulation and analysis oExpertise in machine learning algorithms and statistical modeling techniques oFamiliarity with data warehousing and data pipelines oExperience with data visualization tools like Tableau or Power BI oExperience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services. Preferred Skills: Technology-Big Data-Text Analytics

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BSc Service Line Data & Analytics Unit Responsibilities Roles & Responsibilities: Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Additional Responsibilities: Nice to have Skills: SQL knowledge and experience working with relational databases. Understanding of any one of domain (EgRetail, Supply chain, Logistics, Manufacturing). Understanding of the project lifecycleswaterfall and agile.Soft Skills: Strong verbal and written communication skills with the ability to work well in a team. Strong customer focus, ownership, urgency and drive. Ability to handle multiple, competing priorities in a fast-paced environment. Work well with the team members to maintain high credibilityWork Experience: 2 - 5 years of experience in Data Analytics, Data Science or Data Visualization.Educational Requirements (any of the following): Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record. Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework with consistent academic track record.Additional Academic Qualification (good to have): Masters in any area related to Science, Mathematics, Statistics, Economy and Finance with consistent academic track record. PhD in any stream.Location Bangalore, Pune, Hyderabad, Chennai, Trivandrum, Mysore Technical and Professional Requirements: Must Have Skills: Hands-on experience in Data Science, Python/R Coding and associated state of the art technologies for Exploratory Data Analysis, building predictive models with big data. Familiarity with standard Clustering, Classification, dimensionality reduction and other techniques/Algorithms in Machine learning. Ability to communicate actionable insights using data, often to a non-technical audience. Ability to drive end-to-end data driven solutions with excellent sense of risk and resource management in any given situation Good knowledge on statistical concepts such as properties of distributions, statistical tests and their proper usage. Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes. A quick and enthusiastic learner (must) and who is willing to work on new technologies depending on requirement. Preferred Skills: Technology-Data Science-Machine Learning

Your Role and Responsibilities An AI Solution Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges.Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Required technical and professional expertise Understanding of key concepts in the Foundation Models literature and expertise in building and deploying them for real-world examples. Knowledge of cloud technologies and expertise in leveraging them for large-scale AI or FM workloads. Ability to identify fundamental problems from real-world cloud use-cases and to design, build and validate successful AI solutions. Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes. Strong communication skills and the ability to collaborate effectively within a local team. Excellent command of the English language, both verbal and written. Preferred technical and professional experience Strong contribution record demonstrated through active participation in open source communities, sharing technical resources and educational content, maintaining influential technical blogs or social media presence, and public evangelism of technology through speaking engagements, workshops and community events. Track record in being part of highly collaborative teams to tackle important problems which produce high impact solutions. Expertise in Python programming and statistical analysis including experience with advances statistical methods, data modelling and implementing efficient algorithmic solutions.

Perform Sub system level floor planning, placement, and routing for high-performance microprocessor design. Collaborate with cross-functional teams to achieve design goals. Close the design to meet timing, power, and area requirements. Implement engineering change orders (ECOs) to rectify functional bugs and timing issues. Ensure the quality and efficiency of the RTL to GDS2 implementation process. Required education Master's Degree Preferred education Bachelor's Degree Required technical and professional expertise 8+ years of industry experience Good knowledge and hands on experience in physical design , timing and methodology which include logic synthesis, placement, clock tree synthesis, routing , post route closure. Should be knowledgeable in physical verification ( LVS,DRC. etc) ,Noise analysis, Power analysis and electro migration . Good knowledge and hands on experience in static timing analysis (closing timing at chip level) good understanding of timing constraints . Should have experience in handling asynchronous timing, multiple corner timing closure.

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

You get to collaborate on: Work closely with discovery specialists, disease area scientists and in vivo team members. Handling of laboratory animals like rat, mice, Guniea Pig and Rabbits. Dose administration to experimental animals by different routes and small animals surgery (like cannulations, CSF fluid collection) and handling, followed by compound dose preparation, administration to experimental animals. Contributing to the ongoing drug discovery programs by conducting in vivo DMPK studies for NCEs with a good knowledge of in vivo animal models. Data generation, analysis, compilation, report preparation. Regular uploading of the data. Conduct statistically supported data (analysis using win online) and deliver results in a timely manner to enable informed decision-making Understanding systems, processes, and compliance. Prepare, review, and deliver scientific presentations for internal/external use. Participate in cross-functional team activities, add value to research projects through creative ideas. Learn from top-notch drug discovery scientists across the world and opportunity to get trained in people skills. PK-PD studies in rat and mice of NCE.

Responsibilities Transform raw data into meaningful insights to help organizations make informed decisions. Translate between complex data and actionable business strategies. Collect data from various sources (e.g., databases, PDF's ,dataware house) Cleans and prepares the data to ensure accuracy and consistency Analyzes trends and patterns using statistical tools and programming Visualizes findings through charts, dashboards, or reports Communicates insights to stakeholders to support decision-making Build and maintain scalable data pipelines and ETL workflows using Databricks Integrate AI capabilities into business applications using APIs or custom/ OOTB solutions Collaborate with cross-functional teams to translate business needs into data-driven solutions Ensure data quality, governance, and compliance across platforms Qualifications 8+ years of experience in data analytics, business intelligence, or data science Proficiency in SQL, Excel, Python or R, Power BI Strong understanding of data modeling, ETL processes, and cloud platforms (e.g., Azure, AWS, GCP) Experience with predictive analytics, statistical modeling,Statistics, critical thinking, problem-solving Strong experience with Databricks,Copilot Excellent communication and stakeholder management skills Bachelors or Master’s degree in Data Science, Statistics, Computer Science, or related field Create dashboards and visualizations using Power BI, Tableau, or similar tools Experience with LLMs or generative AI Good to have Experience in a leadership or cross-functional analytics role Familiarity with AI/ML frameworks and big data tools Specialized knowledge in engine-focused R&D, engineering, and manufacturing domains. Certifications in Databricks, cloud platforms, or data engineering. Passion for innovation and continuous learning

SUMMARY We are seeking a dynamic Industrial Sales Representative to join our team. The ideal candidate will be responsible for B2B, institutional, OEM, and industrial project sales, while also building and managing relationships with key clients and stakeholders. This role requires solution-based selling to large infrastructure and industrial clients, as well as driving revenue through project acquisition and account management. Responsibilities : Conduct B2B, institutional, OEM, and industrial project sales Build and manage relationships with contractors, architects, consultants, and key industrial clients Utilize solution-based selling techniques to cater to the needs of large infrastructure and industrial clients Drive revenue through project acquisition and account management Requirements Minimum of 2 years of sales experience in the industrial coatings, paints, or flooring industry Excellent communication and negotiation skills Strong market understanding of industrial or infrastructure segments

Clarivate offers proprietary market access data sets aggregated to provide a comprehensive view of todays healthcare ecosystem and offer invaluable insights from pre-launch through product maturity. We are looking for a Sr. Product Manager , reporting into the VP of Product Management for our Bangalore office. Across the Healthcare and Data Solutions organizationour focus remains on driving growthby product enhancements. About You education, experience, skills, and accomplishments Minimum bachelors degree in computer science, Statistics, Technology, or Engineering, or equivalent work experience, preferably with a data science background. Atleast 5 years in total working as a product manager, in the pharmaceutical analytics industry. A strong technical background coupled with an understanding of how data is leveraged to drive business outcomes in the pharmaceutical industry. Familiarity with analytics using SQL, SAS, Python, R, statistical modeling, and AI/ML techniques. Experience using JIRA and Confluence Ability to think and articulate clearly, concisely, and accurately for writing requirements. Excellent presentation and communication skills. Highly self-motivated, confident to work on projects alone as well as leading a team An enthusiastic approach to extending knowledge and learning new skills Strong commitment to quality of work and good attention to detail What you will be doing in this role Project management to shape the product strategy and delivering roadmap for Disease Intelligence & Analytics products. Utilize Real World Data (Claims, EHR, Pharmacy data etc.) for new products as well as enhancing existing products. Communicate the project requirements to key stakeholders. Bring teams together to define and implement product features and translate them into requirements. Ability to work well with internal teams, including developers, engineers, architects, quality assurance, and operations. Ensure requirements are fully understood and that implementation plans match expectations. Define success criteria for testing and product acceptance. Facilitate the creation and maintenance of proper product documentation. About the Team Its a small team working closely with various other teams like Content team, Technology team, UI/UX team etc. for the project Working Hrs Monday to friday - Candidate should be flexible as the time might cut across other timezone as well.

We are looking for a Senior Healthcare Research and Data Analyst to join our Medtech Insights Team in Bangalore. This is an amazing opportunity to work on syndicated market research reports and custom project for medical device space. About You experience, education, skills, and accomplishments Masters degree (MA, MS in life sciences or MBA)/ Pharm D/ PHD At least 5 years of relevant job experience Advanced proficiency in Microsoft Excel, including using pivot tables and advanced formulas such as VLOOKUP, effective data organization strategies etc. Experienced working on data forecasting models Highly self-motivated and able to work independently or with a team to produce high quality deliverables that require little rework. Strong critical thinking and analytical skills Mature communicator capable of handling high-profile clients from Fortune 500 companies Strong presentation and written communication skills Strong business writing skills Experience on leading projects while collaborating with different teams and information sources It would be great if you also had . . . Well-developed expertise in market research methodologies or related job experience Ability to handle tight deadlines. Excellent creative problem-solving skills. Strong grasp of microeconomics and how businesses work Experience/strong interest in converting unstructured datasets into broadly usable data models. Business acumen that helps support sales success, ongoing improvements, and relationships with internal and external stakeholder. Eye for details and expert in QC of data sets Experience with tools such as Excel, R, Python, or similar is preferred. Experience with project management What will you be doing in this role? Author and audit comprehensive market research reports that provide quantitative and qualitative insights on specific medical device markets around the world. Build market models by leveraging Clarivates proprietary healthcare datasets, while incorporating public financial, regulatory, and government data. Interview industry stakeholders and medical professionals to contextualize data and form insights. Understand the worldview and pain points of Clarivate clients, working closely with them as a problem-solver. From Fortune 500 companies to smaller startups, you will converse with high-profile clients regularly and be expected to both present and defend conclusions to them. Cross functional collaboration on larger projects impacting multiple teams. Contribute your vision; influence the evolution of our products, data models, and data usage strategy. About the Team The team consists of 48 - 50 people and is reporting to the Director, Medtech Insights. We have great skill sets in market research and forecasting and we would love to speak with you if you have skills in data research & analysis and content generation. Hours of Work Hybrid work mode. Mon-Friday (12:00 PM IST 09:00 PM IST)

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

We are looking for an Associate Analyst to join our Data Visualization team in Bangalore. This is an amazing opportunity to work on Primary market research data and analysis. The team consists of 12 and is reporting to the Senior Manager. We have a great skill set in SPSS and we would love to speak with you if you have skills in Statistics and SPSS. About You experience, education, skills, and accomplishments A graduate or master's degree (e.g. Bachelors degree in statistics) with a proven record of academic success is required At least 1 year of experience in SPSS, PowerPoint, data visualization and Excel; VBA/Macros knowledge preferred. Knowledge, skills, or abilities (Process PMR data, including conducting cross-tabulations, statistical analysis (e.g., t-test, z-test, ANOVA, Chi-square) and frequency table (e.g., frequencies, counts, percentages, mean, median, standard deviations) generation) It would be great if you also had . . . Knowledge of pharmaceutical and/or medical device industries an asset but not required Advanced degree (MA, MBA, MS in life sciences, social sciences, or statistics) and/or relevant experience in the biopharma, healthcare, or market research sector a plus, but not required What will you be doing in this role? Populate databases (e.g., drug information, company deals, pricing, launch dates, global market access statistics) with information provided from various sources including secondary data from information resources or research teams or data procured by the research services analyst team Process PMR data, including conducting cross-tabulations, statistical analysis (e.g., t-test, z-test, ANOVA, Chi-square) and frequency table (e.g., frequencies, counts, percentages, mean, median, standard deviations) generation Creation and population of PowerPoint and Excel templates (including leveraging technology such as e-tabs to produce), tables, figures, and graphics, in support of building final client deliverables Interpreting data and bulleted text provided by Analysts and other staff and translating them into carefully crafted presentations and other professional deliverables About the Team This role is in Data Viz team who supports the therapy teams in multiple domains. The team consists of 12 people (including manager). Hours of Work- Hybrid work mode. 12 pm 9 pm IST

We are looking for a highly motivated real-world evidence (RWE) data scientist who has experience in generating insights/evidence from claims and EHR real world data (RWD) to join our growing Bangalore-based RWE analytics team at Clarivate. About You experience, education, skills, and accomplishments Graduate degree in Data science/analytics, Epidemiology, Biostatistics, or related quantitative field At least 3 years experience in a consultative, client-facing role At least 3 years experience using SQL, Python, programming against large relational databases leveraging interoperable-linked, patient-level data at scale Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, LOINC, Snomed, etc.) It would be great if you also had . . Experience evaluating fit-for-purpose data and implementing research protocols Experienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health What will you be doing in this role? Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, charge master) using SQL and Python to identify actionable insights for clients Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth Consult with clients to identify business problems and generate analytics-based solutions Develop and communicate technical, operational, and business specifications to junior analysts and engagement leads Work cross-functionally to support operational processes to deliver data analytics projects on time and with accuracy Contribute to the development and maintenance of internal documentation, code templates, analytics automation, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth About the Team We are a highly motivated team of 20+ analytics, biostatistics, epidemiology, and data science professionals distributed across three countries, working together to provide analytics and insights using Clarivates RWD product for pharmaceutical, biopharma, and Med Tech clients. Hours of Work You will be expected to work on a work schedule (12: 00 PM IST to 9:00 PM IST) to provide for reasonable hours of collaborative work with the US team and there could be a slight extension on an as-needed basis.

We are looking for Data Scientist / Pricing Scientist / Sr.Data Scientist Company: AurumData Solutions (I) Pvt Ltd Client: MNC Experience: 4+ years Location: Hyderabad Job Mode: C2H Duration: 1yr+Ext Work Type: Hybrid Key Skills: Data Scientist / Pricing Scientist, Python, Data Analytics, Retail / Ecommerce, R, PowerBI, Snowflake/SQL and cloud technologies Required Skills: Min 4 to 8 years of relevant experience as Sr. data scientist or pricing scientist in retail / e-commerce analytics in similar industry and business function. Masters/PhD in management science, data science, economics, mathematics from reputed institutes is a must. Should have strong fundamental understanding of price elasticity, price-demand curves, econometrics and optimizations techniques. Strong applied knowledge of machine learning covering the landscape of classification, regression and with in-depth interpretation of outcomes for pricing and promotions Advance level proficiency in python/R, PowerBI, Snowflake/SQL and cloud technologies Ability to effectively communicate and explain the analytical model approach and output with the business stakeholders Experience of developing a powerful storyline to provide meaningful insights for senior leadership consumption Applicants should have strong fundamental understanding and research experience in Data Wrangling, Statistical Analysis, Predictive Modeling using Machine Learning (Regression and Classification), Clusters Segmentation, Time Series Forecasting (ARIMA, SARIMAX) etc. If you are interested, kinldy share your profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 Email: Balaram@aurumdatasolutions.com

About Clarivate Clarivate provides innovative data and analytical solutions to the largest biopharmaceutical and medical technology companies in the world. Clarivates Medtech Data team harnesses real-world healthcare data and identifies meaningful insights from large data and metadata sources to help medical device companies make some of their most important business decisions. Who are you? You are passionate about data and have at least 2 years of hands-on experience wrangling through large data using SQL/ Python. You are also an effective communicator who can explain complex ideas using clear and concise language, including through written communication. You are comfortable collaborating with a diverse group of internal colleagues, including subject matter experts, product managers, sales leaders, technical experts, and other client-facing analysts. You are solution-oriented and understand the importance of timely execution while juggling multiple priorities. What will you do? Understand the worldview and pain points of Clarivate customers, working closely with the stake holders as a problem-solver. Effectively build, mine, and manage multiple datasets, which will be required for market modelling and analysis. Maintain existing Medtech product catalogs. Research and understand novel device markets, including major competitors, uses, and product segmentation. Evaluate data outputs for market trends and draw insights; correct any potential errors and issues. Identify opportunities and issues for data analysis and experiments, with bias towards driving customer delight. Work with clients to understand the business requirements and provide data driven insights. Contribute your vision; influence the evolution of our products, data models, and data usage strategy. What do you know? You have strong quantitative foundations, as evidenced by your educational and professional background. You are more than proficient with Excel, SQL and want to continue to improve your skills. You have a background and/or interest in Life Sciences and are keen to learn a lot more about medical devices and supplies in Latin American region. You know how to deliver an effective presentation. Requirements: Expertise in understanding data variables and connecting the dots in various datasets. Expertise in handling and manipulating large datasets. Proficiency with written and oral communications and must be able to communicate complex quantitative ideas to internal and external stakeholders. Should have handled short/long term projects end to end. Skills: Expertise in MS SQL. Strong MS Office and Excel skills is mandatory. Analytical Skills Ability to do secondary research and synthesize the findings. Problem solving ability. Education: Any graduate/ Post-graduate, B.E or M.Sc. in the disciplines of Biotechnology, Medical Electronics, Pharmacy preferred. Preferred (Good to have) skills: Understanding of Medtech data and Healthcare in the Latin American countries Exposure to Medtech or Claims/Pharmacy data. Experience working with data from data vendors. Expertise in anyone (or more) of the data analysis tools/languages such as R/Python is a plus. Work Mode: Hybrid, Monday to Friday 12:00 pm to 8:00 pm

We are looking for a Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements

We are looking for a Senior Manager-ML Ops to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. Overall 14+ years of experience including DevOps, machine learning operations and data engineering domain Proven experience in managing and leading technical teams. Strong understanding of MLOps practices, tools, and frameworks. Proficiency in data pipelines, data cleaning, and feature engineering is essential for preparing data for model training. Knowledge of programming languages (Python, R), and version control systems (Git) is necessary for building and maintaining MLOps pipelines. Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow) can streamline MLOps workflows. DevOps principles, including CI/CD pipelines, infrastructure as code (IaC), and monitoring is helpful for automating ML workflows. Familiarity with cloud platforms (AWS, GCP, Azure) and their associated services (e.g., compute, storage, ML platforms) is essential for deploying and scaling ML models. Familiarity with container orchestration tools like Kubernetes can help manage and scale ML workloads efficiently. It would be great if you also had, Experience with big data technologies (Hadoop, Spark). Knowledge of data governance and security practices. Familiarity with DevOps practices and tools. What will you be doing in this role? Data Science Model Deployment & Monitoring : Oversee the deployment of machine learning models into production environments. Ensure continuous monitoring and performance tuning of deployed models. Implement robust CI/CD pipelines for model updates and rollbacks. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate project status, risks, and opportunities to stakeholders. Provide technical guidance and support to team members. Infrastructure & Automation : Design and manage scalable infrastructure for model training and deployment. Automate repetitive tasks to improve efficiency and reduce errors. Ensure the infrastructure meets security and compliance standards. Innovation & Improvement : Stay updated with the latest trends and technologies in MLOps. Identify opportunities for process improvements and implement them. Drive innovation within the team to enhance the MLOps capabilities.

We are looking for a ML Ops Engineer to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. 5+ years of experience in machine learning, data engineering, or software development. Good experience in building data pipelines, data cleaning, and feature engineering is essential for preparing data for model training. Knowledge of programming languages (Python, R), and version control systems (Git) is necessary for building and maintaining MLOps pipelines. Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow) can streamline MLOps workflows. DevOps principles, including CI/CD pipelines, infrastructure as code (IaaC), and monitoring is helpful for automating ML workflows. Experience with atleast one of the cloud platforms (AWS, GCP, Azure) and their associated services (e.g., compute, storage, ML platforms) is essential for deploying and scaling ML models. Familiarity with container orchestration tools like Kubernetes can help manage and scale ML workloads efficiently. It would be great if you also had, Experience with big data technologies (Hadoop, Spark). Knowledge of data governance and security practices. Familiarity with DevOps practices and tools. What will you be doing in this role? Model Deployment & Monitoring : Oversee the deployment of machine learning models into production environments. Ensure continuous monitoring and performance tuning of deployed models. Implement robust CI/CD pipelines for model updates and rollbacks. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate project status, risks, and opportunities to stakeholders. Provide technical guidance and support to team members. Infrastructure & Automation : Design and manage scalable infrastructure for model training and deployment. Automate repetitive tasks to improve efficiency and reduce errors. Ensure the infrastructure meets security and compliance standards. Innovation & Improvement : Stay updated with the latest trends and technologies in MLOps. Identify opportunities for process improvements and implement them. Drive innovation within the team to enhance the MLOps capabilities.

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

What We Want You To Do Perform NGS sequencing library preparation (Twist, Illumina) , including DNA/RNA extraction. Operate and maintain NGS sequencing platforms (e.g., MiSeq, NextSeq, HiSeq, NovaSeq, MGI, Nanopore). Conduct quality control checks on DNA/RNA samples and sequencing libraries using techniques such as qPCR, Bioanalyzer, and Tapestation. Troubleshoot and optimize sequencing protocols to improve data quality and throughput. Collaborate with cross-functional teams to design and execute sequencing experiments. Keep detailed records of experiments, protocols, and results. Stay current with advancements in sequencing technologies and applications. What Are We Looking In You Phd or Masters degree in Molecular Biology, Genomics, Biotechnology, or a related field. Hands-on experience with NGS sequencing platforms and library preparation techniques (3-5 years). Proficiency in molecular biology techniques, including PCR, qPCR, and electrophoresis. Strong problem-solving skills and attention to detail. Excellent organizational and communication skills. Ability to work independently and as part of a team. Experience in infectious diseases. Ability to quickly prioritize and execute tasks Good oral and written communication skills. Strong analytical skills and attention to detail Strong documentation skills 6 days working Skills : collaboration,ngs sequencing platforms (miseq, nextseq, hiseq, novaseq, mgi, nanopore),molecular biology techniques (pcr, qpcr, electrophoresis),ngs,quality control checks (qpcr, bioanalyzer, tapestation),sequencing,logical analysis,dna/rna extraction,troubleshooting and optimizing sequencing protocols,documentation,ngs sequencing library preparation

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Senior Mgr Qualifications: Any Graduation/Master of Business Administration Years of Experience: 16 to 25 years What would you do Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for 15+ years of experience in marketing analytics, with at least 8+ years in a senior leadership role Proven track record of building and leading high-performing analytics teams Deep understanding of digital marketing ecosystems (paid media, SEO, CRM, email, etc.) and their associated analytics platforms Proficiency/Familiarity in SQL and BI tools (e.g., Tableau, Power BI, Looker), plus experience with Python or R Experience in MarTech across platforms such as Adobe, Google, Salesforce Exceptional communication skills, with the ability to influence executive decision-making Experience in a client-facing or consultancy environment with stakeholder management responsibilities Familiarity with AI/ML-driven marketing analytics solutions Strong business acumen with the ability to link marketing metrics to financial outcomes Consulting or brand Experience in CPG, Retail, Beauty, e-commerce industry Roles and Responsibilities: Lead a portfolio of projects in marketing analytics and manage big team of analytics professionals, fostering a high-performance culture of innovation, accountability, and continuous learning Set the strategic direction for marketing analytics in alignment with overall business and marketing goals Partner closely with senior executives to drive strategic initiatives backed by data & advanced analytics, and industry best practices Be responsible for building a high performing team, upskilling and growth of marketing analytics practice. Be responsible for driving transformation through analytics, automation, and Gen AI adoption and generate tangible business impact Serve as the key analytics point of contact for internal leadership and external clients or partners Translate complex analytical outputs into business language to influence strategy and investment decisions Collaborate cross-functionally with Product, Sales, Finance, and Engineering to ensure alignment and execution on shared goals Oversee the design and delivery of campaign performance reports, dashboards, and marketing KPIs Drive the development of advanced attribution models, forecasting tools, and ROI analysis Provide deep customer and market insights to inform segmentation, targeting, and personalization strategies Ensure data governance, integrity, and compliance with privacy regulations (e.g., GDPR, CCPA) Qualification Any Graduation,Master of Business Administration

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Senior Mgr Qualifications: Any Graduation/Master of Business Administration Years of Experience: 16 to 25 years What would you do Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for 15+ years of experience in marketing analytics, with at least 8+ years in a senior leadership role Proven track record of building and leading high-performing analytics teams Deep understanding of digital marketing ecosystems (paid media, SEO, CRM, email, etc.) and their associated analytics platforms Proficiency/Familiarity in SQL and BI tools (e.g., Tableau, Power BI, Looker), plus experience with Python or R Experience in MarTech across platforms such as Adobe, Google, Salesforce Exceptional communication skills, with the ability to influence executive decision-making Experience in a client-facing or consultancy environment with stakeholder management responsibilities Familiarity with AI/ML-driven marketing analytics solutions Strong business acumen with the ability to link marketing metrics to financial outcomes Consulting or brand Experience in CPG, Retail, Beauty, e-commerce industry Roles and Responsibilities: Lead a portfolio of projects in marketing analytics and manage big team of analytics professionals, fostering a high-performance culture of innovation, accountability, and continuous learning Set the strategic direction for marketing analytics in alignment with overall business and marketing goals Partner closely with senior executives to drive strategic initiatives backed by data & advanced analytics, and industry best practices Be responsible for building a high performing team, upskilling and growth of marketing analytics practice. Be responsible for driving transformation through analytics, automation, and Gen AI adoption and generate tangible business impact Serve as the key analytics point of contact for internal leadership and external clients or partners Translate complex analytical outputs into business language to influence strategy and investment decisions Collaborate cross-functionally with Product, Sales, Finance, and Engineering to ensure alignment and execution on shared goals Oversee the design and delivery of campaign performance reports, dashboards, and marketing KPIs Drive the development of advanced attribution models, forecasting tools, and ROI analysis Provide deep customer and market insights to inform segmentation, targeting, and personalization strategies Ensure data governance, integrity, and compliance with privacy regulations (e.g., GDPR, CCPA) Qualification Any Graduation,Master of Business Administration

Responsibilities : 9-12 Years Experience in Data Analytics and reporting, Data bricks, Power BI, Snowflake the Data Analytics Manager will lead the delivery of advanced analytics solutions across our Global team ensuring the team delivers high-quality, scalable data solutions using technologies such as Snowflake, Power BI, Microsoft Fabric, Azure, AWS, Python, SQL, and R. Lead and manage a team of 15 data analysts, engineers, and scientists, providing day-to-day direction, performance management, and career development. The successful candidate will foster a high-performance culture through coaching, mentoring, and continuous development, while ensuring alignment with business goals and data governance standards Act as a hands-on technical leader, guiding the team in the design and implementation of data solutions using Snowflake, Azure Synapse, AWS Redshift, and Microsoft Fabric. Oversee the development of dashboards and analytics products using Power BI, ensuring they meet business requirements and usability standards Drive the adoption of advanced analytics and machine learning models using Python, SQL, and R to support forecasting, segmentation, and operational insights. Establish and maintain team standards for code quality, documentation, testing, and version control. Design and deliver structured training plans to upskill team members in cloud platforms, analytics tools, and certifications (e.g., PL-300, SnowPro Core). Conduct regular performance reviews, and development planning to support individual growth and team capability. Collaborate with business stakeholders to translate requirements into actionable data solutions and ensure timely delivery Promote a culture of innovation, continuous improvement, and knowledge sharing within the team. Support the Head of Data Analytics in strategic planning, resource forecasting, and delivery governance Act as a hands-on technical leader, guiding the team in the design and implementation of data solutions using Snowflake, Azure Synapse, AWS Redshift, and Microsoft Fabric. Contact Person: Anupriya Yugesh Email ID: anupriya@gojobs.biz