524 Predictive Analytics Jobs - Page 15

Role & responsibilities Team Management: Lead and mentor a team of data analysts and data scientists, fostering a culture of collaboration and growth. Develop team skills in data visualization, data modeling, and statistical analysis techniques. Formulate and implement management techniques for quality data collection, to ensure adequacy, accuracy, and legitimacy of data. Manage the intake of data requests to the team. Stakeholder Engagement: Collaborate with cross-functional leaders (e.g., Marketing, Enrollment, Academic Affairs, Operations) to identify key institutional questions and create data solutions. Analytics & Reporting: Oversee the development of dashboards, KPI reports, and data visualizations. Drive the implementation of self-service Power BI dashboards for end-users to access data independently. Single Source of Truth/Quality: Work closely with Data Engineering teams to establish our Datawarehouse as the single source of truth while continuously developing the University data dictionary. Support and train data analysts with centralization of data processing logic in the DW Preferred candidate profile BSc/BA in Computer Science, Statistics, Data Management or a related field Fluent English 7+ years experience in data analytics, reporting and database management 5+ years of team management experience Advanced knowledge of data analysis, statistical modeling, data manipulation, and reporting techniques (including Excel, SAS, Python, SQL) Advanced Experience working with Power BI Understanding of Data Modeling/Architecture and Data Warehousing systems required Strong data analytics and reporting skills using Power BI Previous experience with agile project management practices to manage analytics sprints and iterative development. Ability to work remotely as part of an international team Insights on the use of AI techniques and tools to enhance analytical capabilities Perks and benefits general Medical insurance and permanent remote work

Job Purpose and Impact The Capability Development Analyst will identify and evaluate opportunities across multiple areas, collaborate and provide details to the respective stakeholders, potentially conduct presentation to the involved parties. In this role, you will perform significant analysis to identify and develop optimal benchmark models, track, collect and monitor various types of data related to capability development opportunities and transition. Key Accountabilities Develop and monitor capability development and transition analysis. Plan and coordinate business reviews, resource allocations, organization structures and financial analysis. Using significant analysis, identify and support strategic partnerships. Data storytelling ability - present data insights in a compelling, narrative-driven format tailored to stakeholders. Scenario Modeling & Forecasting Skills in building models to simulate different portfolio scenarios (e.g., resource constraints, budget shifts, risk impacts) or AML for Predictive Analytics. Use machine learning to predict project delays, budget overruns, or resource bottlenecks. Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. Other duties as assigned Minimum Qualifications • Minimum of four years of related work experience. Typically reflects 6 years in work similar role. • Working experience with PowerBI. • Microsoft Excel expert level. • Business Intelligence background. • Data visualization and presentation tools • Experience of the business needs into technical processes and tool usage, configurations, solutions. Preferred Qualifications • Project Management Certification/ practitioner • Agile mindset able to navigate in dynamic and ambiguous environment. • Proven experience in project management.

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

We are seeking a highly skilled AI Data Scientist to join our growing data science team. The ideal candidate will possess strong analytical capabilities, machine learning expertise, and practical experience deploying AI solutions. You will work on cutting-edge projects involving deep learning, NLP, and predictive analytics to solve complex business challenges.

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role, you will be: Develop reports and dashboards using Qlik Suits. Develop data lineage from different sources into DataMart Carry out performance optimisation on dashboard Master data maintenance Data modelling and research on predictive analytics Design, develop and automate BAU processes to reduce technical/manual debt. Requirements To be successful in this role, you should meet the following requirements: 10+ years of strong experience on BI Reporting QlikSense Qlikview Suit, Looker, etc Good knowledge on SQL, PL/SQL Experienced in developing end to end Qlik reports Experienced in process report automation Experienced in data modelling, analysis reporting Good to have knowledge of GCP and Google Data Studio, Power BI Knowledge of Agile and DevOps

**Key Responsibilities** People management - Lead a team of software engineers, DS, DE, MLE, in the design, development, and delivery of software solutions. Program management - Strong program leader that has run program management functions to efficiently deliver ML projects to production and manage its operations. Work with Business stakeholders & customers in the Retail Business domain to execute the product vision using the power of AI/ML. Scope out the business requirements by performing necessary data-driven statistical analysis. Set goals and, objectives using proper business metrics and constraints. Conduct exploratory analysis on large volumes of data, understand the statistical shape, and use the right visuals to drive & present the analysis. Analyse and extract relevant information from large amounts of data and derive useful insights on a big-data scale. Create labelling manuals and work with labellers to manage ground truth data and perform feature engineering as needed. Work with software engineering teams, data engineers and ML operations team (Data Labellers, Auditors) to deliver production systems with your deep learning models. Select the right model, train, validate, test, optimise neural net models and keep improving our image and text processing models. Architecturally optimize the deep learning models for efficient inference, reduce latency, improve throughput, reduce memory footprint without sacrificing model accuracy. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Create and enhance model monitoring system that could measure data distribution shifts, alert when model performance degrades in production. Streamline ML operations by envisioning human in the loop kind of workflows, collect necessary labels/audit information from these workflows/processes, that can feed into improved training and algorithm development process. Maintain multiple versions of the model and ensure the controlled release of models. Manage and mentor junior data scientists, providing guidance on best practices in data science methodologies and project execution. Lead cross-functional teams in the delivery of data-driven projects, ensuring alignment with business goals and timelines. Collaborate with stakeholders to define project objectives, deliverables, and timelines. **Skills required: ** MS/PhD from reputed institution with a delivery focus. 5+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Delivered AI/ML products/features to production. Seen the complete cycle from Scoping & analysis, Data Ops, Modelling, MLOps, Post deployment analysis. Experts in Supervised and Semi-Supervised learning techniques. Hands-on in ML Frameworks - Pytorch or TensorFlow. Hands-on in Deep learning models. Developed and fine-tuned Transformer based models. ( Input output metric, Sampling technique) Deep understanding of Transformers, GNN models and its related math & internals. Exhibit high coding standards and create production quality code with maximum efficiency. Hands-on in Data analysis & Data engineering skills involving Sqls, PySpark etc. Exposure to ML & Data services on the cloud AWS, Azure, GCP Understanding internals of compute hardware - CPU, GPU, TPU is a plus. Can leverage the power of hardware accel to optimize the model execution — PyTorch Glow, cuDNN, is a plus.

Role & responsibilities Develop and implement a comprehensive analytics strategy to support the organization's business objectives. Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions on Microsoft Power BI and Snowflake. Driving key business impacting processes like demand forecast generation and SNOP processes. Generating sales recommendation for trade sales team. Optimizing business process like network, inventory, etc., with data modeling and predicting / prescribing algorithms. Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics. Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs. Apply advanced analytics techniques to improve commercial routines and processes. Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. Ability to look, analyse, critically think, and communicate insights to support data-driven decisions. Preferred candidate profile With 10+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team Experience with data visualization tools: Power BI, Tableau, Raw, chart.js, etc. Experience in understanding and managing the data flow across multiple systems to datawarehouse. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.

Kindly share your resume on sv17@svmanagement.com Responsibility: Work with different user groups/ departments Identify processes where Analytics driven decision making can create powerful impact Design original analysis that helps generate relevant insights Establishes credibility by thought partnering with business and service teams on analytics topics; takes positions and draws conclusions on a range of external and internal issues Communicates analytical insights through sophisticated synthesis and packaging of results (including PPT slides, dashboards, mailers and alerts) Collect, synthesize, analyze team learning & inputs into new best practices and methodologies Work with IT teams for implementation of solutions in a production environment Work on development of internal capability on the subject Keep abreast of most recent developments in the Analytics space and identify new tools and capabilities relevant to company needs. Aptitude to constantly learn and explore new analytical advancements Contributes to development of new topic- and sector-related analytics products (development in scope for separate proprietary data & tools team) Develops topic and content related to analytics work for trainings Profile: Experience in designing analytical solutions using machine learning algorithms Knowledge of advanced Excel for preliminary data analysis and good presentation skills Proficient Coding Knowledge in Python is essential. Developing visualizations in Tableau is desirable Additional coding knowledge in R & Visual Basic will be an advantage Proficient in web analytics and predictive analytics Graduate/certificate in Business Analytics from premier Institute would be an advantage

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIProcess by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Data Science Adaptable and flexible Agility for quick learning Ability to work well in a team Commitment to quality Results orientation Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Masters degree with 3+ years of experience, OR Bachelors degree with 4+ years of experience.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP HANA Technical Architecture 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 guidance to team members while continuously seeking opportunities for improvement in application functionality and user experience. 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 alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HANA Technical Architecture.- Good To Have Skills: Experience with application development frameworks.- Strong understanding of database management and optimization techniques.- Familiarity with cloud computing concepts and deployment strategies.- Experience in integrating applications with third-party services. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP HANA Technical Architecture.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Campaign Analytics & Reporting Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients in Gurugram. 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- Lead and mentor junior professionals- Drive innovation and continuous improvement Professional & Technical Skills: - Must To Have Skills: Proficiency in Campaign Analytics & Reporting- Strong understanding of data analysis techniques- Experience with data visualization tools such as Tableau or Power BI- Hands-on experience in implementing various analytics algorithms- Solid grasp of data munging techniques Additional Information:- The candidate should have a minimum of 5 years of experience in Campaign Analytics & Reporting- This position is based at our Gurugram office- A 15 years full time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Salesforce CRM Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. 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 milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in Salesforce CRM Analytics.- Strong understanding of data integration techniques and tools.- Experience with application design and architecture principles.- Ability to analyze business requirements and translate them into technical specifications.- Familiarity with agile methodologies and project management practices. Additional Information:- The candidate should have minimum 5 years of experience in Salesforce CRM Analytics.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Jubilant Biosys is looking for Trainee Research Associate to join our dynamic team and embark on a rewarding career journey. As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects. Conduct research studies and analyze data using a variety of research methods and tools. Analyze and interpret data using statistical software and other analytical tools. Prepare reports and presentations summarizing research findings and conclusions.

Working Hours : 2PM to 11PM IST Mid-Level ML Engineers / Data Scientist Role : (4-5 years of experience ) - Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data using Pandas and PySpark - Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling. - Experience applying various machine learning techniques and understanding the key parameters that affect their performance. - Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning). - Experience with Python and Python packages like NumPy, Pandas and deep learning frameworks like TensorFlow, Pytorch and Keras - Experience in Big Data ecosystem with frameworks like Spark, PySpark , Unstructured DBs like Elasticsearch and MongoDB - Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc. - Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL). - Previous experience in ML, data scientist or optimization engineer role with a large technology company. - Experience in an operational environment developing, fast-prototyping, piloting, and launching analytic products. - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. - Experience in creating data driven visualizations to describe an end-to-end system. - Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research, and business backgrounds. - Bachelors or Masters in Artificial Intelligence, Computer Science, Statistics, Applied Math, or a related field.

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

BU Description: Our Analytics and Automation team is at the forefront of leveraging data-driven insights to enhance business performance across sales, marketing, product development, and VSE. We specialize in harnessing advanced analytics and automation techniques to provide actionable intelligence, drive efficiency, and foster innovation. Our commitment to excellence ensures that we deliver impactful solutions that propel our organization's strategic goals forward. About You: You like to develop, design, and deliver data visualization solutions that deliver sustained business value from our and associated solutions You enjoy working cross-functionally across Sales, Marketing, Operations, and IT organizations for supporting the customer success organization You re a team player and believe in building synergies across BMC to create/continually evolve one integrated customer journey. You like to innovate, and have a passion for solving business problems, to continuously improve our quality of service You have a passion for development, and challenge yourself to learn new things You know how to have fun and connect with people. Key Responsibility/Role Expectations: The Senior BI Analyst supports senior leadership by providing data-driven insights and analytics, enabling informed decision-making, and driving strategic initiatives to enhance customer success and align with business objectives. You should be responsible to Design, develop, and maintain advanced and interactive Tableau dashboards to provide actionable insights into customer success metrics. Analyze customer behavior, trends, and performance metrics to identify actionable opportunities for improvement. Monitor key customer success indicators (e.g., retention, churn, satisfaction) and provide insights to drive enhanced customer engagement and satisfaction. Create visually compelling and interactive reports tailored for senior leadership to support data-driven strategic decision-making. Collaborate with cross-functional teams, including Customer Success, Product, and Support, to gather requirements and deliver tailored BI solutions. Integrate data from multiple sources (e.g., CRM systems like Salesforce, support tools, and internal databases) to create a unified view of performance. Provide data-driven recommendations to senior leadership to align customer success efforts with organizational objectives. Identify and report on key trends and anomalies in customer success data, proactively addressing potential challenges. Develop and implement automated workflows for reporting and analytics to enhance efficiency and reduce manual effort. Stay updated on Tableau and broader BI trends, implementing best practices in data visualization and analysis. Professional Experience: Minimum of 7+ years of experience in Business Intelligence and data analysis. Expert proficiency in Tableau, with demonstrated ability to build advanced visualizations. Strong understanding of relational databases with expertise in advanced SQL writing. Proven ability to extract and analyze data from sources such as Snowflake, Excel, CSV, and text files. Proficient knowledge of Salesforce.com, with experience in CRM data analysis and integration. Advanced skills in Excel, PowerPoint, and Word for creating reports and presentations. Strong analytical skills to critically evaluate data, reconcile discrepancies, and ensure accuracy. Ability to translate user requirements into technical solutions and design effective BI implementations. Excellent organizational skills, with the ability to manage multiple complex projects in a fast-paced, dynamic environment. Self-motivated, detail-oriented, and able to deliver quality outcomes under tight deadlines. Strong communication and presentation skills to effectively collaborate with stakeholders, including senior leaders such as Sr. Directors and VPs. Demonstrated ability to influence and build long-term relationships with cross-functional teams and business partners. Experience mentoring and training team members on technical skills and BI best practices. Quick learner, adaptable to changing tools, environments, and priorities. Customer-oriented mindset, with a proven ability to partner with stakeholders to achieve shared business goals. Familiarity with programming languages like Python or R, cloud-based platforms like AWS are a plus. Basic understanding of machine learning concepts and predictive analytics is a bonus. Education Bachelor s or master s degree in computer science, Information Systems, or a related field (Advanced degree preferred).

The Lead - Sales Analytics will be responsible for delivering data-driven insights that optimize sales performance, enhance forecasting accuracy, and drive opportunity pipeline growth. This role translates complex data into actionable intelligence, enabling leadership to make informed strategic decisions. Key Responsibilities: Develop and execute a sales intelligence strategy, leveraging analytics across various IT platforms and applications including SFDC to optimize sales operations. Own and enhance sales reporting, analytics, and scorecards, ensuring visibility into lead and lag key performance indicators (KPIs) and revenue-driving metrics. Design and implement real-time SFDC dashboards and performance tracking mechanisms, ensuring sales teams have access to critical insights on demand. Lead pipeline analysis and data-driven sales forecasting, enabling proactive decision-making and resource allocation. Partner with sales leadership to identify trends, gaps, and opportunities, providing strategic recommendations for growth and efficiency. Facilitate Account governance frameworks to ensure account growth targets are met. Leverage advanced an alytics and AI-driven insights to drive sales effectiveness, customer engagement, and revenue acceleration. Qualifications: Bachelor s degree in Business, Data Analytics, Finance, or a related field. 7+ years of experience in sales analytics, business intelligence, or revenue operations. Expertise in data visualization tools (Power BI, Tableau) and Salesforce SFDC. Strong analytical mindset with a proven ability to translate data into actionable business strategies. Experience in forecasting methodologies, predictive analytics, and revenue modelling.

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

ABOUT THE ROLE Role Description: The Data Scientist is responsible for developing and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involves leveraging data science techniques to analyze security data, detect threats, and automate security processes. The Data Scientist will work closely with cybersecurity teams to identify data-driven automation opportunities, strengthening the organizations security posture . Roles & Responsibilities: Develop analytics to address security concerns, enhancements, and capabilities to improve the organization's security posture. Collaborate with Data Engineers to translate security-focused algorithms into effective solutions. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify security patterns and anomalies. Design and implement security-focused analytics pipelines leveraging MLOps practices. Collaborate with data engineers on data quality assessment, data cleansing, and the development of security-related data pipelines. Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient security analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members practicing SAFe Agile delivery model. Functional Skills: Basic Qualifications: Masters degree and 1 to 3 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR Bachelors degree and 3 to 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR Diploma and 7 to 9 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) Preferred Qualifications: Experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets Strong foundation in machine learning algorithms and techniques Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Good-to-Have Skills: Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience with data engineering and pipeline development Experience in analyzing time-series data for forecasting and trend analysis Experience with AWS, Azure, or Google Cloud Experience with Databricks platform for data analytics and MLOps Experience with Generative AI models (e.g., GPT, DALLE, Stable Diffusion) and their applications in cybersecurity and data analysis Experience working in Product team's environment Experience working in an Agile environment Professional Certifications: Any AWS Developer certification (preferred) Any Python and ML certification (preferred) Any SAFe Agile certification (preferred) Soft Skills: Initiative to explore alternate technology and approaches to solving problems Skilled in breaking down problems, documenting problem statements, and estimating efforts Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals.

What you will do In this vital role you will identify trends, root causes, and potential improvements in our products and processes, ensuring that patient voices are heard and addressed with utmost precision. As the Sr Associate Data Scientist at Amgen, you will be responsible for developing and deploying basic machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities. Collect, clean, and manage large datasets related to product performance and patient complaints. Ensure data integrity, accuracy, and accessibility for further analysis. Develop and maintain databases and data systems for storing patient complaints and product feedback. Analyze data to identify patterns, trends, and correlations in patient complaints and product issues. Use advanced statistical methods and machine learning techniques to uncover insights and root causes. Develop analytics or predictive models to foresee potential product issues and patient concerns to address customer needs and opportunities. Prepare comprehensive reports and visualizations to communicate findings to key collaborators. Present insights and recommendations to cross-functional teams, including product development, quality assurance, and customer service. Collaborate with regulatory and compliance teams to ensure adherence to healthcare standards and regulations. Find opportunities for product enhancements and process improvements based on data analysis. Work with product complaint teams to implement changes and monitor their impact. Stay abreast of industry trends, emerging technologies, and standard methodologies in data science and healthcare analytics. Evaluate data to support product complaints. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Basic Qualifications: Masters degree and 1 to 3 years of Data Science and with one or more analytic software tools or languages, and data visualization tools experience OR Bachelors degree and 3 to 5 years of Data Science and with one or more analytic software tools or languages, and data visualization tools experience OR Diploma and 7 to 9 years of Data Science and with one or more analytic software tools or languages, and data visualization tools experience Preferred Qualifications: Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets. Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification. Experience in analyzing time-series data for forecasting and trend analysis. Experience with Data Bricks platform for data analytics. Experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements.

Job Summary We are seeking a highly skilled Data Scientist with Business analysis with good hands on in Python , SQL , EDA Data Visualization with 3 to 12+ years of experience Key Responsibilities: Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights. Develop and maintain dashboards and reports to visualize key business metrics. Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions. Build and evaluate statistical and machine learning models to support predictive analytics. Translate business problems into analytical frameworks and communicate findings effectively. Must-Have Skills: Proficiency in Python for data manipulation and analysis. Strong knowledge of SQL for querying and managing data. Experience in data analysis and business analytics. Familiarity with machine learning and statistical modelling. Ability to interpret and communicate complex data insights to non-technical stakeholders. Good-to-Have Skills: Experience with data visualization tools. Exposure to Generative AI frameworks and applications. Understanding of cloud platforms (AWS, GCP, or Azure) is a plus.

Experience working in large Software Development Teams Knowledge and experience in Agile Delivery mechanisms Work with business stakeholders, SCRUM masters, Designers and testers in SCRUM team. Proficient in English language with ability to lead stakeholder conversations. Experience in generating insights through data and articulating stories addressing business problems. Total Experience Expected: 6-8 years Mandatory Technical Skills: Proficiency in SQL- Windows Function, Python for data analysis. Experience with data visualization tools like Tableau Total Experience Expected: 04-06 years