1143 Statistical Modeling Jobs - Page 10

As a Member Technical Staff I at Adobe, you will have the opportunity to join our engineering team in Bengaluru and collaborate with a talented group to work on impactful projects globally. Your primary responsibility will be to develop and program software algorithms that analyze and leverage data in structured and unstructured environments effectively. You will also be tasked with translating technical specifications into flawless code using various programming languages and technologies. Your role will involve employing machine learning and statistical modeling techniques such as decision trees, logistic regression, and Bayesian analysis to enhance system performance. You will be responsible for testing, debugging, and implementing efficient software delivery while ensuring high quality. Additionally, you will work on documentation and procedures for installation and maintenance of developed systems. To excel in this role, you should have proven experience in developing software algorithms, a strong understanding of machine learning, statistical modeling, and deep learning technologies, and proficiency in current programming languages and technologies. Your problem-solving skills, attention to detail, and ability to work with large-scale computing frameworks and data analysis systems will be crucial. Excellent communication and collaboration abilities are essential for effective teamwork in this role. At Adobe, we are committed to creating exceptional employee experiences, where everyone is respected and has equal opportunities. Join us at Adobe to be part of a team that is dedicated to shaping the future of digital experiences successfully. Adobe is dedicated to ensuring accessibility for all users on Adobe.com. If you require accommodation due to a disability or special need during the application process, please contact accommodations@adobe.com or call (408) 536-3015.,

As a Data Scientist at Micron Technology in Sanand Gujarat, you will have the opportunity to play a pivotal role in transforming how the world uses information to enrich life for all. Micron Technology is a global leader in innovating memory and storage solutions, driving the acceleration of information into intelligence and inspiring advancements in learning, communication, and progress. Your responsibilities will involve a broad range of tasks, including but not limited to: - Developing a strong career path as a Data Scientist in highly automated industrial manufacturing, focusing on analysis and machine learning of terabytes and petabytes of diverse datasets. - Extracting data from various databases using SQL and other query languages, and applying data cleansing, outlier identification, and missing data techniques. - Applying the latest mathematical and statistical techniques to analyze data and identify patterns. - Building web applications as part of your job scope. - Utilizing Cloud-based Analytics and Machine Learning Modeling. - Building APIs for application integration. - Engaging in statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning. - Demonstrating proficiency in data analysis and validation, as well as strong software development skills. In addition to the above, you should possess above-average skills in: - Programming fluency in Python. - Knowledge of statistics, machine learning, and other advanced analytical methods. - Familiarity with javascript, AngularJS 2.0, and Tableau, with a background in OOPS considered an advantage. - Understanding pySpark and/or libraries for distributed and parallel processing. - Experience with Tensorflow and/or other statistical software with scripting capabilities. - Knowledge of time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus. - Understanding of Manufacturing Execution Systems (MES) is beneficial. You should be able to work in a dynamic, fast-paced environment, be self-motivated, adaptable to new technologies, and possess a passion for data and information with excellent analytical, problem-solving, and organizational skills. Furthermore, effective communication with distributed teams (written, verbal, and presentation) and the ability to work collaboratively towards common objectives are key attributes for this role. To be eligible for this position, you should hold a Bachelors or Masters degree in Computer Science or Electrical/Electronic Engineering, with a CGPA of 7.0 and above. Join Micron Technology, Inc., where our relentless focus on customers, technology leadership, and operational excellence drives the creation of high-performance memory and storage products that power the data economy. Visit micron.com/careers to learn more about our innovative solutions and opportunities for growth. For any assistance with the application process or to request reasonable accommodations, please reach out to hrsupport_india@micron.com. Micron Technology strictly prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards. Candidates are encouraged to use AI tools to enhance their application materials, ensuring accuracy and truthfulness in representing their skills and experiences. Fabrication or misrepresentation will lead to immediate disqualification. As a Data Scientist at Micron Technology, you will be part of a transformative journey that shapes the future of information utilization and enriches lives across the globe.,

The role of S&C GN AI - Insurance AI Generalist Consultant at Accenture Global Network involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As a Team Lead/Consultant at Bengaluru, BDC7C location, you will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. In this position, you will be part of a unified powerhouse that combines the capabilities of Strategy & Consulting with Data and Artificial Intelligence. You will work on architecting, designing, building, deploying, delivering, and monitoring advanced analytics models, including Generative AI, for various client problems. Additionally, you will develop functional aspects of Generative AI pipelines and interface with clients to understand engineering/business problems. The ideal candidate for this role should have 5+ years of experience in data-driven techniques, a Bachelor's/Master's degree in Mathematics, Statistics, Economics, Computer Science, or a related field, and a solid foundation in Statistical Modeling and Machine Learning algorithms. Proficiency in programming languages such as Python, PySpark, SQL, Scala is required, as well as experience implementing AI solutions for the Insurance industry. Strong communication, collaboration, and presentation skills are essential to effectively convey complex data insights and recommendations to clients and stakeholders. Furthermore, hands-on experience with Azure, AWS, or Databricks tools is a plus, and familiarity with GenAI, LLMs, RAG architecture, and Lang chain frameworks is beneficial. This role offers an opportunity to work on innovative projects, career growth, and leadership exposure within Accenture, a global community that continually pushes the boundaries of business capabilities. If you are a motivated individual with strong analytical, problem-solving, and communication skills, and the ability to thrive in a fast-paced, dynamic environment, this role provides an exciting opportunity to contribute to Accenture's future growth and be a part of a vibrant global community.,

The Supply Planning Center of Excellence (COE) Lead at Apollo Tyres Ltd plays a crucial role in advancing supply planning practices throughout the global operations of the company. The primary responsibility of this role is to establish and maintain supply planning capabilities, ensure adherence to standardized processes and tools, and collaborate with various departments to enhance supply planning efficiency, customer service, and inventory management. Key Responsibilities: - Develop and execute a comprehensive Supply Planning COE strategy in alignment with global supply chain objectives. - Lead the design, implementation, and continuous enhancement of supply planning processes, systems, and tools. - Provide expertise and training to regional teams on supply planning methodologies, tools, and best practices. - Collaborate extensively across regions, geographies, and channels to drive integrated planning and digitalization. - Integrate business requirements with technological solutions across global and regional operations. - Monitor and enhance key planning KPIs such as service levels, forecast accuracy, inventory turnover, and capacity utilization. - Lead root-cause analysis and corrective action planning for supply chain issues. - Oversee the adoption of advanced planning solutions including digital and AI-based tools. - Provide leadership and mentorship to supply planners globally, fostering a culture of continuous learning and collaboration. - Manage cross-functional projects related to supply planning improvements ensuring stakeholder alignment. Internal & External Relationships: INTERNAL: Collaborate with Functional Heads, Supply and Demand Planning teams, Sales & Marketing, Finance, Manufacturing IT Teams, Logistic teams, and other cross-departmental stakeholders. EXTERNAL: Engage with project implementation vendors and OE Partners. Skills & Knowledge: - 7+ years of experience in supply planning within a global manufacturing environment. - Proficiency in supply planning processes, statistical modeling, and forecasting techniques. - Familiarity with supply planning tools such as SAP IBP, Kinaxis, o9 Solutions, or equivalent, and data visualization tools. - Strong leadership and project management skills. - Excellent analytical, problem-solving, and decision-making abilities. - Effective communication, facilitation, and stakeholder management skills. - Track record of driving business performance through advanced technology and analytics. - Strong collaboration, negotiation, and influencing skills. - Ability to navigate a matrixed organization, drive results, and take ownership. - Strategic acumen to address short, medium, and long-term business goals. Education Qualifications: - Masters Degree/MBA preferred from a reputed institute. - Bachelor's degree in Business, Supply Chain, or Technology. Major Challenges: 1. Stakeholder management and consensus-building on complex process decisions. 2. Modernizing legacy processes. 3. Promoting an agile ecosystem and managing change effectively. 4. Incorporating technology advancements into existing operations.,

The Specialized Analytics Senior Analyst role is a senior position where you will apply your deep disciplinary knowledge to contribute to the development of new techniques and enhance processes and workflows within your area of expertise. Your role will involve integrating subject matter and industry expertise within a defined area, requiring a thorough understanding of how different areas collectively integrate within the sub-function. You will be responsible for coordinating and contributing to the objectives of the function and overall business. Your analytical skills will be crucial in evaluating moderately complex issues with substantial potential impact, involving weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Excellent communication and diplomacy skills are essential for this role as you will regularly assume informal/formal leadership roles within teams and be involved in coaching and training new recruits. Your influence will have a significant impact on project size, geography, etc., by providing advice, counsel, and facilitating services to others in your area of specialization. The work and performance of all teams in the area will be directly influenced by your performance. Responsibilities: - Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using tools like SQL and Access to help predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, which may involve utilizing statistical models/algorithms and data visualization techniques - Specialize in marketing, risk, digital, and AML fields - Assess risk appropriately when making business decisions to safeguard Citigroup, its clients, and assets by driving compliance with laws, rules, and regulations Qualifications: - 8-12 years of experience - Ability to retrieve and manipulate data - Advanced analytic ability and problem-solving skills - Ability to build partnerships with cross-functional teams - Working experience in a quantitative field, Financial/Credit Card industry - Willingness to learn and a can-do attitude - Excellent communication and interpersonal skills, organization, attention to detail, flexibility, and adaptability to a matrix work environment Education: - Bachelors/University degree or equivalent experience This job description provides a high-level overview of the work performed. Other job-related duties may be assigned as required.,

The Data Science Lead Analyst role at our organization requires you to be a strategic professional who remains updated with the latest developments in the field and contributes to the overall strategy by applying this knowledge to your job and the business. You are considered a recognized technical authority in a specific area within the business, with a basic understanding of commercial aspects. Your role involves providing guidance, influencing others, and making strategic recommendations based on data analysis. You will be responsible for conducting strategic data analysis, identifying insights, and making recommendations based on your findings. Additionally, you will develop data displays to effectively communicate complex analyses to stakeholders. Your responsibilities will include mining and analyzing data from various banking platforms to drive optimization and improve data quality. You will lead analytics initiatives to address business problems, determine necessary data, assess time and effort required, and establish project plans. Collaboration with business clients to identify system functional specifications and understanding how different areas integrate to achieve business goals will be a key aspect of your role. You will lead the system change process from requirements to implementation, providing support to business users. Furthermore, you will be involved in formulating systems scope and goals for complex projects, considering the business implications of technology applications, and driving communication between business leaders and IT. Conducting workflow analysis, business process modeling, developing use cases, test plans, and business rules will also be part of your responsibilities. You will work closely with cross-functional teams to analyze current processes, identify improvement opportunities, and develop target operation models. Documentation maintenance, training new and existing users, and communication of project status to stakeholders are also essential duties. As a Data Science Lead Analyst, you are expected to assess risks when making business decisions, ensuring compliance with laws, rules, and regulations, and safeguarding the organization's reputation and assets. Additionally, you will be responsible for developing strategies to reduce costs, manage risks, and enhance services. You must possess an MBA or an advanced degree in Information Systems, Business Analysis, or Computer Science, along with 6-10 years of experience using tools for statistical modeling of large data sets. Process improvement or project management experience is also required for this role. If you are a person with a disability and require accommodation to use our search tools or apply for a career opportunity, please review the Accessibility at Citi information. Please also refer to Citis EEO Policy Statement and the Know Your Rights poster for further details.,

This role is for one of Weekday's clients with a minimum experience requirement of 6 years. The location for this full-time position is Pune and Hyderabad. CriticalRiver is looking for a Senior Business Intelligence (BI) Analyst who will be responsible for leading and driving advanced analytics and reporting initiatives to facilitate key decision-making across the organization. The successful candidate will play a crucial role in managing a team of data professionals while actively engaging with data tools and methodologies. Proficiency in SQL, Python, Tableau, Power BI, and Looker is essential, along with a solid foundation in statistical modeling, A/B testing, and data visualization. Experience with Google Cloud Platform (GCP) and tools like Jupyter Notebook will be advantageous. Key Responsibilities: - **Team Leadership & Project Management:** Lead and mentor a team of data analysts to develop actionable insights, campaign performance reports, and ad hoc data requests. Oversee the design, development, and deployment of reports and dashboards aligned with business objectives. - **Campaign Analytics & Business Metrics:** Design, measure, and analyze marketing and product campaigns using A/B testing, hypothesis testing, and regression analysis. Summarize key business metrics, identify trends, anomalies, and improvement opportunities across verticals. - **Data Modeling & Statistical Analysis:** Build frameworks and predictive models for customer segmentation, clustering, and ROI optimization. Apply statistical methods to forecast performance, evaluate campaign effectiveness, and drive business strategy. - **Reporting & Visualization:** Develop interactive and scalable dashboards using Tableau, Power BI, and Looker. Collaborate with stakeholders to create intuitive data visualizations and presentations for various business units. - **Process Automation & Efficiency:** Utilize SQL and Python to automate ETL pipelines, reduce manual reporting efforts, and streamline workflows. Enhance data governance and accuracy through validation processes and quality checks. - **Training & Mentorship:** Conduct internal training sessions on SQL, Python, and data analysis best practices. Foster a culture of continuous learning and analytical rigor within the team. - **Stakeholder Collaboration:** Partner with business leaders, product owners, and marketing teams to translate business requirements into analytical solutions. Deliver timely insights and provide strategic recommendations to influence critical decisions. - **Vendor & Tool Management:** Manage external analytics vendors and oversee third-party data tools. Evaluate and implement new BI tools and technologies to enhance the team's capabilities. Skills and Qualifications: - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. - 6+ years of hands-on experience in business intelligence, data analytics, or a similar role. - Advanced proficiency in SQL, Python, Tableau, Power BI, and Looker. - Experience with GCP, Jupyter Notebook, and working in a cloud-based analytics environment. - Strong background in hypothesis testing, regression analysis, clustering, and A/B testing. - Proven ability to lead cross-functional teams and deliver business insights under tight deadlines. - Excellent communication and stakeholder management skills.,

As an experienced professional in the field, you will be expected to demonstrate proficiency in a range of key areas. Your expertise should include statistical modeling, traditional machine learning, and Gen AI. Moreover, you should possess knowledge of various deep learning models such as LSTM, N-BEATS, CNN, and RNN. In addition, you are required to be well-versed in optimization techniques including linear programming and mix integer programming, along with familiarity with optimization tools like Opensolver and Gurobi. Your role will involve working with Data Bricks and Snowflake, engaging with ML/DL models, and interacting directly with business stakeholders and customer FTEs. Therefore, strong technological skills and effective communication are essential for success in this position. The must-have skills for this role include Time Series Modelling (LSTN, CNN, N-BEATS, RNN), proficiency in Data Bricks, statistical knowledge, Python programming, optimization expertise, as well as experience with Opensolver and Gurobi. Additionally, it would be beneficial to have experience with GenAI and Snowflake. The ideal candidate should have a minimum of 8-10 years of experience in the field, showcasing a deep understanding of the mandatory skills required for this role. Your ability to leverage your expertise in time series modeling, data manipulation, statistical analysis, and optimization tools will be instrumental in driving successful outcomes for the organization.,

As a Machine Learning Specialist in Clinical Supply Chain, you will play a crucial role in leveraging your expertise in data science to enhance the efficiency of our clinical trial supply chain. Your responsibilities will include designing, developing, and implementing machine learning models to predict clinical supply needs, optimize inventory levels, and minimize wastage. By collaborating with various teams, such as clinical operations, supply chain, and IT, you will identify relevant data sources and seamlessly integrate machine learning solutions into existing workflows. Your key duties will involve analyzing extensive datasets from clinical trials, logistics systems, and external sources to identify trends and extract valuable insights. You will be tasked with creating tools and dashboards that facilitate real-time decision-making and scenario planning. It will also be your responsibility to ensure that the developed models adhere to performance standards, scalability requirements, and regulatory guidelines such as GxP and 21 CFR Part 11. Staying abreast of the latest advancements in machine learning and artificial intelligence, you will apply industry best practices to address the challenges faced within the clinical supply chain domain. To excel in this role, you should hold a Master's or PhD degree in Computer Science, Data Science, Engineering, or a related field and possess a minimum of 3 years of experience in machine learning, data science, or AI, preferably within healthcare or life sciences. Your practical knowledge of clinical supply chain processes, including demand forecasting, IRT systems, and logistics planning, will be invaluable. Proficiency in programming languages such as Python, R, SQL, and familiarity with ML frameworks like scikit-learn, TensorFlow, and PyTorch are essential. Additionally, your expertise in statistical modeling, time series forecasting, and optimization techniques will be crucial to your success. Effective communication skills and the ability to collaborate across departments in a dynamic environment are essential qualities for this role. Preferred qualifications include experience with clinical trial data (e.g., EDC, CTMS, IRT), knowledge of regulatory requirements in clinical research, and familiarity with cloud platforms such as AWS, Azure, and GCP, along with MLOps practices. Your technical skills in SQL, R, statistical modeling, Python, ML frameworks, time series forecasting, TensorFlow, and your deep understanding of clinical supply chain operations will be instrumental in driving data-driven decision-making and optimizing logistics within our clinical trial supply chain.,

InSync Analytics (India) Private Limited is looking for Data Scientists to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

Generating live & day-end reports using Excel. Ensuring smooth & compliant execution of transactions. Provide regular updates to the immediate superior as and when required. Quantitative Analyst / Data Analyst Minimum 1 Year Of Experience Quantitative Trading Strategies Develop and implement quantitative trading strategies across various asset classes, including equities, futures and options. Conduct research and analysis to identify alpha-generating opportunities using statistical modelling, machine learning techniques, and mathematical algorithms. Develop, test, and back-test quantitative trading models using Python, R, or other programming languages. Collaborate with traders and developers to optimize trading systems and algorithms for execution efficiency and risk management. Monitor and evaluate the performance of trading strategies, making adjustments as necessary to enhance profitability and minimize risk. Stay abreast of market trends, industry developments, and emerging technologies to maintain a competitive edge in quantitative trading.

Generating live & day-end reports using Excel. Ensuring smooth & compliant execution of transactions. Provide regular updates to the immediate superior as and when required. Quantitative Analyst / Data Analyst Minimum 1 Year Of Experience Quantitative Trading Strategies Develop and implement quantitative trading strategies across various asset classes, including equities, futures and options. Conduct research and analysis to identify alpha-generating opportunities using statistical modelling, machine learning techniques, and mathematical algorithms. Develop, test, and back-test quantitative trading models using Python, R, or other programming languages. Collaborate with traders and developers to optimize trading systems and algorithms for execution efficiency and risk management. Monitor and evaluate the performance of trading strategies, making adjustments as necessary to enhance profitability and minimize risk. Stay abreast of market trends, industry developments, and emerging technologies to maintain a competitive edge in quantitative trading.

Data Science Online Tutor Summary : We re seeking an experienced Data Science professional to join our team as an online tutor. As a Data Science Online Tutor, you ll provide expert guidance and support to students learning Data Science concepts, tools, and techniques. If you re passionate about Data Science and enjoy teaching, this is an excellent opportunity to share your knowledge and help shape the next generation of Data Science professionals. Responsibilities: Provide online tutoring and mentoring to students in Data Science-related courses Develop and deliver high-quality, engaging video lessons and tutorials Create and grade assignments, quizzes, and exams Participate in live online sessions, answering student questions and providing feedback Collaborate with our instructional design team to develop and refine course content Stay up-to-date with industry trends and emerging technologies in Data Science Requirements: 3+ years of experience in Data Science, with expertise in tools like Python, R, TensorFlow, and scikit-learn Strong understanding of machine learning algorithms, statistical modeling, and data visualization Excellent communication and teaching skills Experience with online learning platforms and tools Bachelor s degree in Computer Science, Statistics, Mathematics, or a related field Nice to Have: Experience with cloud platforms (e.g., AWS, Google Cloud) Knowledge of other programming languages (e.g., SQL, Julia) What We Offer: Competitive hourly rate Flexible, remote work arrangement Opportunity to shape the next generation of Data Science professionals Collaboration with a talented team of professionals If you re passionate about Data Science and teaching, please submit your resume and a letter explaining why you re the perfect fit for this role.

Position Summary The Department of Business Analytics at Universal Ai University invites applications for the position of Assistant Professor. The ideal candidate will have a strong academic background and practical expertise in Python programming, data analytics, and statistical modeling, with a demonstrated ability to teach and conduct research in these areas. Key Responsibilities Teach undergraduate and postgraduate courses in Python, Business Analytics, and Statistics. Develop and update curriculum in alignment with industry trends and emerging technologies. Mentor and guide students in research projects, capstone initiatives, and career development. Conduct high-quality, publishable research in the fields of analytics and data science. Collaborate with industry and academic partners on applied researc

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 7-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple projects and meet deadlines in a fast-paced environment. Strong attention to detail and ability to interpret complex data sets. Experience working with IT Services & Consulting firms is preferred.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 7-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple tasks and deadlines in a fast-paced environment. Strong attention to detail and organizational skills, with the ability to maintain accurate records and reports. Bachelor's degree in any discipline; advanced degree preferred.

Educational Requirements MCA,Bachelor of Engineering,BCA Service Line Data & Analytics Unit 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 Technical and Professional Requirements: Generative AI, AI/ML, Python, Databricks Preferred Skills: Technology-Machine Learning-Generative AI

In the IBM Chief Information Office,you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organisations. As a Data Scientist within IBM's Chief Information Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights. Learn and utilise cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn

Returnship- Hiring Data science professionals Experience: 3 Years - 8 Years Location: Pan India JD: Data science- ML, Text analytics, Regression, Data classification and prediction, API’s Software’s:- python , power BI, sql, tableau. Platforms: H2O, Data robot Analytics code Deployment using Azure, AWS, on prem methods etc.

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.

Job Summary We are seeking a Technical Lead with 10 to 14 years of experience in Analytics Analysis and Design with a strong background in Networks. The ideal candidate will work in a hybrid model during day shifts. This role does not require travel. The candidate will play a crucial role in driving technical excellence and innovation within the team. Responsibilities Lead the design and development of advanced analytics solutions to support business objectives. Oversee the analysis and interpretation of complex data sets to identify trends and insights. Provide technical guidance and mentorship to team members to ensure high-quality deliverables. Collaborate with cross-functional teams to define technical requirements and project scope. Develop and implement best practices for data analysis design and network management. Ensure the scalability reliability and performance of analytics solutions. Conduct regular code reviews to maintain code quality and adherence to standards. Troubleshoot and resolve technical issues related to analytics and network systems. Stay updated with the latest industry trends and technologies to drive innovation. Communicate effectively with stakeholders to understand their needs and provide technical solutions. Manage project timelines and deliverables to ensure timely completion of tasks. Contribute to the continuous improvement of processes and methodologies within the team. Document technical specifications and project progress for future reference. Qualifications Possess strong expertise in analytics analysis and design with a proven track record. Demonstrate in-depth knowledge of network systems and their management. Exhibit excellent problem-solving skills and attention to detail. Show proficiency in relevant programming languages and tools. Have experience in leading and mentoring technical teams. Display strong communication and collaboration skills. Be adaptable to a hybrid work model and day shifts. Maintain a proactive and innovative approach to technical challenges. Hold a relevant degree in Computer Science Engineering or a related field. Have a minimum of 10 years of experience in a similar role. Show commitment to continuous learning and professional development. Demonstrate the ability to work independently and as part of a team. Exhibit strong organizational and time management skills. Certifications Required Certified Analytics Professional (CAP) Cisco Certified Network Professional (CCNP)

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 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