1575 Predictive Modeling Jobs - Page 17

Key Responsibilities: Lead the AI development team, providing technical guidance and mentorship. Architect and develop scalable AI and machine learning models tailored to business needs. Collaborate with product managers, data engineers, and stakeholders to define AI project requirements. Drive innovation by researching and implementing state-of-the-art AI/ML algorithms and technologies. Oversee end-to-end AI lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring. Ensure AI solutions adhere to best practices in ethics, fairness, and data privacy. Optimize models for performance, scalability, and interpretability. Manage code quality through reviews, testing, and documentation. Stay updated with emerging trends and integrate relevant advances into projects. Coordinate cross-functional teams to integrate AI capabilities into products.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing RESTful APIs.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP ABAP Development for HANA.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Python (Programming Language) Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will also explore the integration of generative AI models into your projects, while working on various aspects of deep learning, neural networks, chatbots, and image processing. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of software development best practices, including version control and testing methodologies. Additional Information:- The candidate should have minimum 3 years of experience in Python (Programming Language).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Exadata Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and solves issues within multiple components of critical business systems. Your typical day will involve collaborating with various teams to troubleshoot and resolve complex software problems, ensuring the seamless operation of essential applications. You will engage in proactive monitoring and maintenance of systems, while also documenting solutions and sharing knowledge with your colleagues to enhance overall team performance. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training sessions to enhance team skills and knowledge.- Develop and implement best practices for application support and maintenance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Exadata Administration.- Strong understanding of database management and optimization techniques.- Experience with performance tuning and troubleshooting of Exadata systems.- Familiarity with backup and recovery strategies for critical applications.- Knowledge of scripting languages for automation of routine tasks. Additional Information:- The candidate should have minimum 5 years of experience in Exadata Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Develop, fine-tune, and deploy large language models (LLMs) and advanced NLP algorithms. Design scalable architectures to integrate LLM capabilities into products and services. Work with unstructured text data: preprocessing, tokenization, embedding, and feature engineering. Optimize model performance, latency, and cost for production environments. Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver AI-powered solutions. Stay abreast of the latest research in LLMs, transformers, and NLP, and apply innovations. Build pipelines for data ingestion, model training, evaluation, and deployment. Ensure ethical use of AI and compliance with data privacy regulations. Mentor junior developers and contribute to code reviews and knowledge sharing.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

You will be responsible for contributing to the reliability, scientific quality, and optimization of project support throughout the entire process from target identification to process development. This will involve performing statistical analyses of data generated in the laboratories using R and potentially other programming languages to generate statistical reports. Additionally, you will play a key role in the development and maintenance of statistical end-user tools. Your expertise will be utilized in representing statistics within various scientific or technology working groups and cross-functional initiatives. To excel in this role, you should possess a strong background in non-clinical statistics as applied to biopharmaceutical development. Your proven experience in industrial statistics, including descriptive and inferential statistics, statistical process control, design of experiments, multivariate data analysis (such as PCA, PLS, and related methods), and statistical modeling and simulation will be crucial. A sound understanding of statistical concepts and techniques, such as predictive modeling and repeated measure ANOVA, is essential. Additionally, familiarity with pharmaceutical research and development, particularly in in-vitro testing, is desirable. Knowledge of CMC regulatory guidelines from organizations such as EMA, FDA, and ICH Quality, as well as QbD principles, will be valuable in this role. Your ability to prepare statistical analyses for regulatory dossiers and ensure compliance with relevant guidelines will be pivotal to the success of the projects you are involved in.,

You are a highly skilled Technical Data Analyst, and you will be joining our growing team. Your role will involve utilizing your strong technical foundation in Oracle PL/SQL and Python, along with expertise in data analysis tools and techniques. As a strategic thinker, you will lead and mentor a team of data analysts, driving data-driven insights and contributing to key business decisions. Additionally, you will be responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects. Your responsibilities will include designing, developing, and maintaining complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes. You will also utilize Python scripting for data analysis, automation, and reporting. Performing in-depth data analysis to identify trends, patterns, and anomalies will be crucial in providing actionable insights to improve business performance. Collaboration with cross-functional teams to understand business requirements and translating them into technical specifications is essential. Furthermore, you will develop and maintain data quality standards to ensure data integrity across various systems. Leveraging data analysis and visualization tools like Tableau, Power BI, and Qlik Sense to create interactive dashboards and reports for business stakeholders will also be part of your role. Staying up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements, will be necessary. Researching and evaluating emerging AI/ML tools and techniques for potential application in data analysis projects will also be one of your responsibilities. Preferred Qualifications for this role include hands-on work experience as a Technical Data Analyst (not a business analyst) with Oracle PL/SQL and Python programming to interpret analytical tasks and analyze large datasets. Proficiency in Python scripting for data analysis and automation, expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense, and an awareness and understanding of AI/ML tools and techniques in data analytics are highly desirable. Practical experience applying AI/ML techniques in data analysis projects is a plus. Strong analytical, problem-solving, communication, and interpersonal skills are required, along with experience in the financial services industry. Your education should include a Bachelor's degree/University degree or equivalent experience. It is important to note that this job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. This role falls under Data Analytics, and a minimum of 2 years of experience as a Technical Data Analyst (not a business analyst) with hands-on PL/SQL experience to interpret analytical tasks and analyze large datasets is necessary. Hands-on Oracle/SQL experience to develop performance-optimized SQL scripts to fetch/analyze data from an Oracle Database and an excellent understanding of business operations and analytics tools for effective data analysis are also required. You will coordinate and contribute to the objectives of data science initiatives and overall business by leveraging an in-depth understanding of how areas collectively integrate within the sub-function. Conducting strategic data analysis, identifying insights and implications, making strategic recommendations, and developing data displays that clearly communicate complex analysis will be part of your role. Delivering analytics initiatives to address business problems, identifying required data, assessing time & effort required, and establishing a project plan are essential tasks. Experience in the financial sector is considered an advantage. This is a full-time position in the Technology job family group, specifically in Applications Development. Your most relevant skills should match the requirements listed above, and for complementary skills, you can refer to the job description or contact the recruiter for further information.,

As an Industry & Functional AI Decision Science Consultant within the Accenture Strategy & Consulting Global Network - Data & AI practice, you will have the opportunity to work on high-visibility projects with esteemed Pharma clients worldwide. You will collaborate with leaders in strategy, industry experts, and business intelligence professionals to shape innovative solutions leveraging emerging technologies. Your role will involve supporting the delivery of consulting projects, developing assets and methodologies, and working on a variety of projects such as Data Modeling, Data Engineering, Data Visualization, and Data Science. Additionally, you will be expected to acquire new skills that are applicable across different industry groups, support strategies and operating models, and make presentations to clients when necessary. We are seeking individuals with a Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or a related quantitative field. The ideal candidate will have proven experience working on Life Sciences, Pharma, or Healthcare projects, with a solid understanding of Pharma datasets including commercial, clinical, Real World Evidence (RWE), and Electronic Medical Records (EMR). Proficiency in Statistical Models, Machine Learning, hypothesis testing, multivariate statistical analysis, and optimization is essential, along with hands-on experience in handling datasets like Komodo, RAVE, IQVIA, Truven, and Optum. Strong programming skills in languages such as R, Python, SQL, and Spark are required, as well as experience with cloud platforms like AWS, Azure, or Google Cloud for deploying language models. Familiarity with Data Visualization tools like Tableau, Power BI, Qlikview, or Spotfire is advantageous. In this role, you must possess excellent analytical and problem-solving skills, a data-driven mindset, proficiency in Excel, MS Word, PowerPoint, and strong communication, interpersonal, and presentation skills. Your ability to solve complex business problems, deliver client satisfaction, and build points of view on industry trends will be crucial to your success in this position. Join us in a culture committed to accelerating equality for all and engage in boundaryless collaboration across the organization.,

Design and deploy predictive models (eg, forecasting, churn analysis, fraud detection) using Python/SQL, Spark MLlib, and Databricks ML. Build end-to-end ML pipelines (data ingestion feature engineering model training deployment) on Databricks Lakehouse. Optimize model performance via hyperparameter tuning, AutoML, and MLflow tracking. Collaborate with engineering teams to operationalize models (batch/real-time) using Databricks Jobs or REST APIs. Implement Delta Lake for scalable, ACID-compliant data workflows. Enable CI/CD for ML pipelines using Databricks Repos and GitHub Actions. Troubleshoot issues in Spark Jobs and Databricks Environment. Requirements: Experience should have 3 to 5 years in predictive analytics, with expertise in regression, classification, time-series modeling. Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark. Familiarity with MLflow, Feature Store, and Unity Catalog for governance. Industry experience in Life Insurance or P&C. Good to have certification on Databricks Certified ML Practitioner. Technical Skills: Python, PySpark, MLflow, Databricks AutoML. Predictive Modelling (Classification, Clustering, Regression, timeseries and NLP). Cloud platform (Azure/AWS), Delta Lake, Unity Catalog.

About the role The Data Intelligence Center of Excellence is looking for a high-performing Senior Data Scientist to support Blackbaud customers through the creation and maintenance of intelligent data products . Additionally, the senior data scientist will collaborate with team members on research and thought leadership initiatives . What youll do Use statistical techniques to manage and analyze large volumes of complex data to generate compelling insights to include predictive modeling, storytelling, and data visualization I ntegrate data from multiple sources to create dashboards and other end-user reports Interact with internal customers to identify and define topics for research and experimentation Contribute to white papers, presentations, and conferences as needed C ommunicate insights and findings from analys e s to product, service, and business managers Work with data science team to automate and streamline modeling processes Manage standard tables and programs within the data science infrastructure , providing updates as needed Maintain updated documentation of products and processes Participate in team planning and backlog grooming for data science roadmap What you'll bring We are seeking a Data Scientist with 5+ years of hands-on experience demonstrating strong proficiency in the following areas 2 + years of machine learning and /or statistics experience 2 + years of experience with data analysis in Python, R, SQL, Spark, or similar Comfortable asking questions and performing in-depth research when given vague or incomplete specifications Confidence to learn product functionality on own initiative via back-end research, online training resources, product manuals, and developer forums Experience with Databricks, Databricks SQL Analytics is a plus Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Job_Description":" Lead AI Engineer We are seeking a passionate and driven AI engineer with a proven trackrecord of building and deploying cutting- edge AI solutions. As a leader youwill be a driving force behind our AI strategy, providing technical guidance,fostering innovation and ensuring the successful delivery of AI projects. Responsibilities Designing and implementing AI and machinelearning models to solve business problems Collaborating with cross-functional teams tounderstand requirements and deliver tailored AI solutions Conducting research and prototyping new AIalgorithms and techniques Developing and maintaining AI models to improveperformance and accuracy Analyzing and interpreting complex data sets toextract meaningful insights Documenting and presenting technical solutionsto both technical and non-technical stakeholders Keeping up-to-date with the latest advancementsin AI and machine learning technologies Requirements Requirements Bachelor\u2019s or Masters Degree in ComputerScience or other related fields. Strong technical & analytical skill (PythonOR R, SQL, predictive modelling, NLP/AI, Cloud, Generative AI, MLops, AIopsetc) Experience with Large Language Models likeOpenAI API, ChatGPT, GPT-4, Bard and Langchain, HuggingFace Transformers etc Proven experience in developing and implementingGen AI algorithms and models Solid background in machine learning, deeplearning, and natural language processing Experience with AI frameworks such asTensorFlow, PyTorch, or Keras Proficient in handling and analyzing largedatasets using SQL or NoSQL databases Strong programming skills in Python. Experience in model deployment & operationusing CI/CD and cloud platforms (AWS, Azure,) Strong problem-solving and analytical skills Excellent communication and teamwork abilities Client Interaction Project Handling experience ","

The Evernorth Digital team is like few in comparable technology companies today: We are a collective of carefully curated, specialized disciplines that, when whole, imagines, plans, defines, tests, instruments, measures, builds, deploys, monitors and optimizes end-to-end experiences that represent the health services suite of product offerings. We are united by our mission to redefine health care as we know it, and the digital team is unified in the belief that we are responsible for the future of healthcare. This means that our products must inspire change in people that leads to positive pathways: pathways that lead to health, to healing, to preventative wellness and ultimate vitality. The Engagement Content Strategist role will be part of a specialized content discipline that helps customers navigate their healthcare experience in a way that is personalized, data-driven, and leads to positive health outcomes. By considering individual needs and opportunities, you will help to craft communication experiences that engage and personalize pathways for customers focusing on deep customer understanding and driving business value through optimal healthcare navigation. Section 3: Responsibilities Clearly outline the primary duties and tasks associated with the role. Use action verbs (i.e., lead, drive, analyze, assess, research, etc.) to convey expectations. Responsibilities Partner with product and communication teams to drive outcomes through predictive modeling, multi-channel strategies and programmatic experimentationWork with cross-functional teams to understand product roadmap and goals, ensure alignment with content that contributes to product KPIsPlan, develop, edit, test, and improve communications content in partnership with digital product and clinical program design teamsDevelop and execute comprehensive communication strategies for customer outreach and engagementCollaborate with creative teams to generate meaningful and engaging outreach materialsHelp evolve content design processes to facilitate the needs of the businessThink strategically about how content scales across channels, conditions, and behaviorsHelp drive personalization and performance by partnering with analytics and content delivery teams Section 4: Qualifications Specify the skills, experience, and education required for the role. Differentiate between the must-haves and nice-to-haves. Required skills : List the specific skills required for the job, including technical, leadership skills, and any industry-specific skills. Required Experience : Clearly state any mandatory requirements, such as formal education, certifications, licenses, or specific years of experience. Desired Experience : List any nice-to-have experience, including industry experience, exposure to specific technologies, certifications, etc. Qualifications Required Skills (Critical Competencies) Strategic Mindset Seeing ahead to future possibilities and translating them into breakthrough strategies Drives Results Pushes team and cross functional partners to deliver needed results in tough circumstances and expedited timelines Action Oriented Takes on tough challenges with sense of urgency, high energy, and enthusiasm Decision Quality Makes sound and timely decisions to keep work moving forward Manages Complexity Makes sense of complex and sometimes contradictory information to effectively solve problems Manages Ambiguity Operates effectively and drives work forward even when things are not certain or there is no clear way forward Balances Stakeholders Anticipates and balances the needs of multiple stakeholders across Health Services and Enterprise Collaborates Quickly builds partnerships and works collaboratively with others to ensure progress Courage Steps up to address difficult issues and says what needs to be said Instills Trust Quickly gains confidence and trust of others through honesty, integrity, and authenticity Communicates Effectively Develops and delivers multi-mode communications that convey a clear message and adapts to multiple audiences Situational Adaptability Adapts approach and demeanor in real time to match the shifting demands of different situations. Required Education Minimum of bachelor degree in English, a healthcare field, or communications/marketing Required Skills Strong knowledge of health communications Strong research skills and ability to leverage successful campaign learnings to inform future campaign strategic messagingSkilled in UX/UI best practices and content best practicesSkilled in writing marketing and communications best practices for patients (emails, SMS, push notifications)Strong writing and editorial skills with a clear, concise style and excellent grammar, punctuation, and spellingProficiency in health literacy and communicating complex clinical information to consumer audiencesExperience using Figma design, Figjam collaboration, Microsoft Office (PowerPoint expertise a plus,) async chat tools (Slack, Webex Chat, etc.), Confluence, SharePoint, and OneDriveA portfolio demonstrating writing skills across UX/digital products and outreach communications Required Experience Overall 5-8 years of experience with healthcare content strategy, patient/customer healthcare marketing communications, and healthcare UX/digital copywritingFamiliarity with content style guidelines and content managementDemonstrated results in ability to think strategically, anticipate future consequences and trends, and incorporate them into both a short-term and long-term strategic planTrack record of working well across engineering, data science, design and lines of business Desired Experience An understanding of the science of behavior change and how to apply behavioral influence techniques in the areas of patient activation, engagement, and improving health outcomes Experience using AI tools to support content management and delivery

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Masters degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. - Grade Specific Oversees the data science function within an organization and plays a crucial role in leveraging data-driven insights to drive business growth and innovation

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Partner with HR business leaders to understand their unique challenges and objectives, offering tailored analytics solutions. Provide ongoing consultation, interpreting data findings in the context of organizational goals and industry benchmarks. Craft compelling narratives around data insights, translating technical findings into actionable business language. Develop and deliver insightful presentations to executive leadership, fostering a data-informed culture. Uphold the highest standards of data ethics, ensuring compliance with privacy regulations and promoting responsible data stewardship. Champion ethical considerations in the application of analytics to HR decision-making. Your Profile Advanced degree in HR, Statistics, Data Science, or a related field. Proven experience in a consulting or advisory role focused on HR analytics and workforce planning. Expertise in statistical analysis, predictive modeling, and data visualization tools. Strong business acumen with the ability to align analytics initiatives with organizational strategy. Exceptional communication and influencing skills. 2+ experience in HR analytics roles, demonstrating a track record of driving impactful organizational change through data-driven insights. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Applies and integrates statistical, mathematical, predictive modelling and business analysis skills to manage and manipulate high volume data from a variety of sources and able to identify business opportunities from the insights and predictions that result from that analysis. Collates, models, interprets and analyses data, explains variances and trends and recommends business opportunities from that analysis. Works on and off the cloud. Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources Strategizes new uses for data and its interaction with data design. Designs new processes and builds large, complex data sets. Tests and validates predictive models. Generates algorithms and creates computer models; in partnership with more senior engineers builds web prototypes and performs data visualization. Is part of working teams discovering the stories told by the data and translating them into business ideas; Assists in presenting stories/findings to business leaders.

Company: Marsh Description: Marsh McLennan Global Services (MMGS) India is seeking candidates for the following position based in the Mumbai office: Job Profile: Senior Engineer - Data Science MMC Business Unit: Marsh MMGS Function: Knowledge Services Marsh is a global leader in insurance broking and risk management. In more than 130 countries, our experts in every facet of risk and across industries help clients to anticipate, quantify, and more fully understand the range of risks they face. Marsh Advisory is the consultative branch of Marsh, provides solutions in the increasing needs of our clients to implement risk management programs within their organization. Marsh Advisory helps companies to change their risk profiles so they can improve resiliency, reduce claims, and minimize the total cost of risk. Businesses today regularly tackle multiple challenges, whether facing property and casualty, cyber, pandemic, ERM / BCP / BCM, climate change, supply chain, reputational, or other risks, Marsh Advisory can help. MMGS is a global knowledge center for Marsh McLennan and houses teams, which work closely with the colleagues across various operating units and locations. The Knowledge Services function under MMGS aims to provide specialized services in the domain of Research, Consulting, Data Analytics, Data Science, Actuarial and Design. This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Incumbent is expected to be an expert of Data Science algorithms, Business Analytics and Data Manipulation. Expertise in Python and SQL is a must. Experience with Insurance or Banking industry is a plus. Position Details This position is for an individual contributor in Data Science, who will develop and implement models using leading-edge techniques in machine learning, predictive modeling, artificial intelligence, and natural language processing as applied in commercial insurance and risk management. This position consults with clients and colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading analytics-based tools. Responsibilities Develops modeling approaches for implementing new, market-leading analytics-based tools to understand and address risk Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds Statistical Models, Machine Learning models, and finalizes with results that unlock insight for clients and colleagues Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Serves as an internal expert resource and champion for data science within Marsh and MMC Coaches team members on the delivery of analytics-based tools and analyses and presentation of findings We will count on you to Mine and analyze data to drive optimization and implement business strategies Build machine learning algorithms based on the business ask Deploy API on the platform by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development Utilize risk models related to Time Series Forecasting, Clustering, GLM/Regression, Boosting, Trees, etc. Use advanced analytics to augment consulting deliverables with data backed outputs Conduct research on the clients risk areas and prepare a point of view for consulting Qualifications Masters Degree in Math, Statistics, Data Science, Actuarial Science or related field Expert statistical modeling knowledge, including familiarity with machine learning techniques Ability to face difficult and sometimes complex problems Ability to develop strong internal/external client oriented solutions Superior detail orientation, excellent communication and interpersonal skills Knowledge of modern programming languages such as Python, including NumPy, TensorFlow, SQL, and PyTorch R or VBA may be helpful but not required What makes you stand out Understanding of insurance and risk management Knowledge and demonstrated experience of advanced NLP and computer vision Experience of building data visualization in Plotly/Dash/D3.js Hands-on experience with stochastic or econometric modelling Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Data Scientist - GTM Analytics At Thomson Reuters, we believe in the power of data to drive smarter decisions and we re looking for someone who shares that belief. As a Data Scientist - Digital Insights, you ll join a dynamic team that s shaping the future of go-to-market strategy through digital analytics, data science, and emerging AI technologies. This opportunity empowers you to work with the latest trends in technology from web traffic intelligence and data visualization to foundational applications of large language models (LLMs). You ll play a key role in transforming digital signals into actionable insights that influence business outcomes. We re proud to be recognized by Great Place to Work India as one of the country s top employers, celebrated for our inclusive culture, strong leadership, and commitment to employee growth. Join us and be part of a workplace where innovation and well-being go hand in hand. About the Role: In this role, you will: Analyze web traffic, user behavior, and campaign performance through Google Analytics Tags to generate actionable insights. Collaborate with marketing, product, and analytics teams to define KPIs and reporting frameworks. Build dashboards and visualizations using tools like Tableau or Power BI to communicate insights effectively. Apply basic data science techniques to uncover trends, segment audiences, and support predictive modeling. Stay current with developments in LLMs and generative AI and explore their application in digital analytics. Present findings to stakeholders using storytelling techniques and data-driven narratives. About You: 1-3 years of experience in digital analytics, data science, or a related field. Proficient in Google Analytics, and web tracking methodologies. Strong SQL and Python skills; experience with data wrangling and exploratory analysis. Familiarity with data visualization tools such as Tableau or Power BI. Exposure to machine learning concepts and basic model building. Understanding of LLMs (e.g., GPT, OpenAI) and prompt engineering is a plus. Experience working with marketing or Go to Market teams is highly desirable. Excellent communication and presentation skills with the ability to simplify complex data. Required Education & Skills: Bachelor s or master s degree in computer science, Data Science, Marketing Analytics, or a related quantitative field. Strong organizational and problem-solving skills. Adaptable, collaborative, and eager to learn in a fast-paced environment. Shift Timing - 12:00 PM - 9:00 PM Hybrid Work Model: Work from Office Twice a week #LI-SS3 What s in it For You Hybrid Work Model: We ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Job Description Summary The Sr Data Analyst - BI Reporting will play a key role in developing end-to-end reporting solutions from data collection and transformation to report generation and visualization. This role involves working on the cutting edge of data engineering and analytics leveraging machine learning predictive modeling and generative AI to drive business insights. Job Description Roles and Responsibilities Design visualizations and create dashboards/reports using Power BI (good to have Tableau experience). Explore clean and visualize data sets to prepare for analysis/reporting ensuring data quality and consistency. Develop and maintain BI semantic data models for large-scale data Warehouses/ Data Lakes eventually getting consumed by reporting tools. Leverage SQL and big data tools (e. g. Hadoop Spark) for data manipulation and optimization. Build advanced data models and pipelines using SQL and other tools. Ensure data quality consistency and integrity throughout the data lifecycle. Collaborate closely with data engineers analysts and other stakeholders to understand data requirements and optimize the data flow architecture. Document data processes data architecture modelling/flow charts and best practices for future reference and knowledge sharing. Desired Characteristics Technical Expertise 5 to 8 years of experience in data analytics data mining/integration BI development reporting and insights. Strong knowledge of SQL and experience with big data technologies such as Hadoop Spark or similar tool for data massaging / manipulation. Develop advanced visualization/reports to highlight trends patterns and outliers making complex data easily understandable for various business functions. Implement UI/UX best practices to improve navigation data storytelling and the overall usability of dashboards ensuring that reports are actionable and user-friendly providing the desired insights. #LI-CK1 Additional Information Relocation Assistance Provided: Yes

Overview Provide advanced analytics support for the EU Sector in the Insights Services Center; a part of the broader Global Capability Center function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for EU to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of EU. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the EU Business Service Service Center Support relationships with the key end-user stakeholders in EU and region offices Qualifications 4 to 7 years of experience in the field of analytics Ability to convert insights into story that answers critical business questions. Hands on in coding in tools like R and Python ( both or at least

Job Title:Cobol DevExperience:5-10YearsLocation:Bangalore : Technical Skills: 5 + Years of experience as ETL data developer in Informatica, CONNX, SQL Server, Oracle DB setup CONNX metadata for Eligibility and Billing tables. Design and develop informatica ETLs to convert IMF data to Certifi format, Eligibility file format and IMF Notes format Support reconciliation of data across MMC systems and Javelina/Certifi/AWS Archive Proficiency in designing, developing, and debugging ETL workflows and mappings. Experience with Informatica transformations like Source Qualifier, Expression, Lookup, Aggregator, and Filter. Familiarity with performance optimization techniques in Informatica (e.g., session tuning, partitioning). Experience in extracting data from SQL Server and writing it into delimited file formats like CSV. Knowledge of handling large datasets and ensuring efficient data movement. Familiarity with file-level operations like encoding, delimiter configuration, and column formatting. Skills in implementing robust error handling and logging mechanisms in ETL workflows. Ability to debug issues related to data extraction, transformation, or file generation Ability to work independently and as part of a team Non-Technical Skills: Candidate needs to be Good Team Player Effective interpersonal, team building and communication skills. Ability to communicate complex technology to no tech audience in simple and precise manner.

Job Title:Artificial Intelligence EngineerExperience8-12 YearsLocation:Bangalore : Algorithm Development**Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes. Model Creation**Develop and validate algorithms, neural networks, and other machine learning models. Generative AI**Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music. Machine Learning**Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. Natural Language Processing (NLP)**Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT. Data Management**Handle data pre-processing, augmentation, and synthetic data generation. Qualifications To excel in this role, you should possess the following skills: Hard Skills1. **Advanced Programming**Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras.2. **Generative Models**Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).3. **NLP**Familiarity with NLP techniques for text generation.4. **Data Management**Knowledge of data pre-processing, augmentation, and synthetic data generation.Soft Skills1. **Creativity**Ability to think creatively and solve complex, creative challenges using AI.2. **Collaboration**Work effectively with researchers, engineers, and other team members.3. **Continuous Learning**Stay updated with evolving AI technologies and applications.Qualifications- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields.- Proven experience in machine learning, generative AI,