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AI Data ScientistAs a Data Scientist specializing in AIOps - Cybersecurity, you will play a crucial role in safeguarding our digital assets. You will work closely with senior data scientists, security analysts, and engineers to leverage data-driven insights for proactive threat detection, incident response, and vulnerability management. This position offers an excellent opportunity to grow your data science skills within a dynamic and critical field, contributing directly to the security posture of the organization. You will be involved in the entire data science lifecycle, from data collection and preprocessing to model deployment and performance monitoring, all within the context of cybersecurity challenges.<ul type="disc"><li>Assist in collecting, cleaning, and preprocessing large volumes of cybersecurity data (e.g., network logs, endpoint data, threat intelligence feeds) for analysis.</li><li>Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies indicative of security threats or vulnerabilities.</li><li>Develop and implement machine learning models (e.g., classification, clustering, anomaly detection) to detect malicious activities, predict potential breaches, and improve security operations.</li><li>Augment ML solutions with Agentic AI to strengthen the threat detection , risk scoring etc.</li><li>Support the evaluation and fine-tuning of existing data science models for cybersecurity applications, ensuring their effectiveness and accuracy.</li><li>Create visualizations and dashboards to present findings, model performance, and actionable insights to security teams and stakeholders.</li><li>Collaborate with security engineers to integrate data science solutions into existing security tools and platforms.</li><li>Stay up-to-date with the latest data science techniques, cybersecurity threats, and industry best practices.</li><li>Document data science processes, methodologies, and model specifications.</li></ul><ul type="disc"><li>Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Cybersecurity, or a related quantitative field.Technical Skills:</li><li>Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) and/or Java.</li><li>Familiarity with ETL process , MLOps lifecycle .</li><li>Basic understanding of machine learning algorithms (e.g., linear regression, logistic regression, decision trees, k-means, SVMs).</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn, Qlik, Power BI).</li><li>Exposure to big data technologies (e.g., Spark, Hadoop) is a plus.Domain Knowledge:</li><li>Basic understanding of cybersecurity concepts, including common attack vectors, network protocols, operating systems, and security tools (e.g., SIEM, EDR).</li><li>Familiarity with threat intelligence and incident response processes is advantageous.Soft Skills:</li><li>Strong analytical and problem-solving abilities.</li><li>Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences.</li><li>Eagerness to learn and adapt to new technologies and challenges.</li><li>Ability to work both independently and collaboratively within a team environment.</li></ul>

Ford Motor

Data Scientist

Data Engineer-Digital Banking Kotak 811-Regional Sales  Job Title : Data Engineer Job DescriptionAs a Data Engineer, you will be part of a dynamic team responsible for developing and maintaining data pipelines, databases, and analytical systems @Kotak811  <ul><li>You will work closely with other data engineers, data scientists, and business stakeholders to ensure data integrity, availability, and reliability. </li><li>You should have expertise in designing, implementing, and operating stable, scalable, solutions to flow data from production systems into analytical data platform (big data tech stack) and into end-user facing applications for both real-time and batch use cases</li></ul>  Responsibilities <ol><li>Data Ingestion and Integration
 <ol><li>Collaborate with cross-functional teams to gather data requirements and identify data sources.</li><li>Design, develop, and maintain data ingestion pipelines from various structured and unstructured sources.</li><li>Implement data integration processes to ensure data quality and consistency.</li><li>Monitor and troubleshoot data ingestion issues and optimise performance.</li></ol></li><li>Data Transformation and ETL:
 <ol><li>Translate business requirements into technical specifications (data models) </li><li>Extract, transform, and load data from diverse sources into appropriate data models and structures.
 <ol><li>Develop and maintain ETL workflows and processes using tools like Apache Spark, Apache Kafka, or other data integration frameworks.</li></ol></li><li>Cleanse, validate, and transform data to meet business and analytical requirements.</li><li>Strong engineering mindset - build automated monitoring, alerting, self healing (restartability/graceful failures) features while building the consumption pipelines</li></ol></li><li>Database Management:
 <ol><li>Create and maintain scalable and efficient data storage systems, including relational databases, data warehouses, or NoSQL databases.</li><li>Optimise database performance, including indexing, partitioning, and query optimization.</li><li>Implement data security and access controls to ensure data privacy and compliance with industry regulations.</li><li>Monitor database health, performance, and capacity, and take proactive measures to ensure optimal system operation.</li></ol></li><li>Data Governance and Documentation:
 <ol><li>Ensure adherence to data management policies and standards.</li><li>Document data pipelines, ETL processes, and data flows to facilitate knowledge sharing and maintain data lineage.</li><li>Contribute to the development and maintenance of data dictionaries, data catalogues, and metadata repositories.</li><li>Participate in data quality initiatives and data governance reviews to maintain high data integrity.</li></ol></li><li>Collaboration and Communication:
 <ol><li>Collaborate effectively with cross-functional teams, including data scientists, business analysts, and software engineers.</li><li>Communicate technical concepts and solutions to both technical and non-technical stakeholders.</li><li>Participate in team meetings, code reviews, and knowledge-sharing sessions to foster a collaborative work environment.</li><li>Stay up-to-date with emerging technologies, industry trends, and best practices in data engineering.</li></ol></li></ol> Qualifications <ol><li>2-3 years’ experience with a Bachelor's Degree in Computer Science, Engineering, Technology or related field required.</li><li>Proficiency in one or more programming languages such as Python, Java, or Scala.</li><li>Good knowledge of Agile, SDLC/CICD practices and tools </li><li>Experience with data integration tools and frameworks such as Apache Spark, Apache Kafka, or similar.</li><li>Experience is leveraging Cloud / OSS Data platform to build scalable data models and data pipelines for analytical, data science, systemic consumption use cases 
 <ol><li> </li></ol></li><li>Must have good knowledge of performance tuning/optimising data processing jobs, debugging time consuming jobs.</li><li>Good understanding of distributed systems</li><li>Experience working extensively in multi-petabyte DW environment</li><li>Strong problem-solving skills and attention to detail.</li></ol>    <h4>Experience Level</h4>Mid Level

Kotak Mahindra Bank

Data Engineer

Data ScientistSnowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.Snowflake is seeking a Data Scientist to join our expanding Enterprise AI &amp; ML team. This role involves working on diverse AI/ML and data science initiatives, utilizing Snowflake's Data Cloud and Cortex AI. The successful candidate will design and develop scalable data science and machine learning solutions, build interactive AI applications, and collaborate on operationalizing intelligent systems to enhance data-driven decision-making throughout the company. This position focuses on applying data science, AI &amp; ML skill sets to various domain specific business data problems across Snowflake.ON THE ENTERPRISE AI &amp; ML TEAM AT SNOWFLAKE, YOU WILL:<ul><li>Design, prototype, and deploy data science and AI solutions.</li><li>Conduct end to end experimentation, including data exploration, feature engineering, model development, and validation.</li><li>Build and maintain Streamlit applications to visualize models, showcase insights, and enable business stakeholders to interact with AI driven solutions.</li><li>Develop and optimize LLM based applications, workflows, and operations; with a focus on retrieval, generation, semantic understanding and fine-tuning.</li><li>Partner cross functionally with data engineers, analysts, and product teams to translate ambiguous business problems into measurable outcomes.</li></ul>OUR IDEAL CANDIDATE WILL HAVE:<ul><li>2 to 4 years of experience applying data science, machine learning, or AI techniques in real world business settings.</li><li>Strong programming skills in Python, proficiency in SQL for large scale data manipulation.</li><li>Familiarity with frameworks such as scikit-learn, XGBoost etc.</li><li>Understanding of LLM architectures, embeddings, vector search, and RAG pipelines.</li><li>Experience working on cloud platforms.</li><li>Strong analytical, storytelling, and communication skills to translate technical insights into actionable recommendations.</li><li>A mindset of curiosity, ownership, and collaboration, with an eagerness to work on open-ended problems.</li><li>Experience operationalizing AI &amp; ML models in a production setting.</li></ul>Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: <a href="http://careers.snowflake.com" rel="noopener noreferrer nofollow" target="_blank">careers.snowflake.com</a><h4>Experience Level</h4>Mid Level

Snowflake Computing India Llp

Assoc. Principal Stat Programmerwe need programmers with minimum 10+ years experience with ADaM and TFL programming , Experience in Oncology/Immunology studies on Efficacy ADaMs and TFLs (ADTTE – PFS, OS, DOR, BOR, ORR is must) Experience on KM Plots, waterfall plot, Forest plot is required. Phase 2,3 Preferable experience. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at <a href="https://jobs.iqvia.com/" rel="noopener noreferrer" target="_blank">https://jobs.iqvia.com</a><h4>Experience Level</h4>Senior Level

IQVIA

Data Analyst Intern

Applied Scientist 4Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams  to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.  Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers.  Develops models, prototypes, and experiments that pave the way for innovative products and services.  Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP),  Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR),  Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write  high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner.  Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned.Career Level - IC4As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Oracle India Private Limited

Science Mentor

Senior Manager, Data Services Data Architecture<h4>Role: Senior Manager, Data Services – Data Architecture </h4>Location: Kharadi, PuneLife Unlimited. At Smith+Nephew, we design and manufacture technology that takes the limits off living.At Smith+Nephew, we’re looking for a Senior Manager, Data Services – Data Architecture to join our diverse and collaborative Data &amp; Analytics team. In this role, you’ll lead the design and delivery of modern, scalable, and inclusive data architecture that powers our enterprise cloud data platform and enables a wide range of data, analytics, quality, and research solutions.You’ll partner closely with business and technology teams to transform our on-premise data environment, build robust data engineering and transformation frameworks, and deliver high-quality, efficient, and reliable data products using Snowflake on AWS and emerging technologies. You’ll also guide solution architects, promote agile and inclusive ways of working, and champion best practices that empower teams across the organization to drive data-driven insights and innovation.<h4>What will you be doing?</h4>Strategy: <ul><li>Actively engage and contribute to the overall data architecture strategy with specific emphases on design, development and maintenance of the data architecture, data models and standards for various data integration &amp; data warehousing projects in Snowflake, combined with other technologies.</li><li>Architect, construct and deliver Data Transformation Frameworks/Data products for complex data solutions across multiple domains, supporting the entire software development lifecycle.</li></ul>Design: <ul><li>Architect data engineering services, and develop capabilities to enable self-service analytics and insights programs</li><li>Lead, Design and develop data processing layers to incorporate data reliability, efficiency, and quality</li><li>Design Data Quality and data security processes to ensure Data Completeness, Consistency and Accuracy</li><li>Collaborate with key stakeholders to ensure data architecture alignment with key portfolio initiatives based on cost, functionality and practicality.</li><li>Recommend solutions to improve new and existing Data Warehouse and Analytics solutions.</li></ul>Execute &amp; Govern: <ul><li>Implement technical, operational, and business processes to achieve data reliability, availability, and trust</li><li>Create, publish, maintain and train data warehouse patterns across the development and architecture community in snowflake</li><li>Work with cross-functional stakeholders across the various business and technical teams to develop and execute effective data quality processes and procedures.</li><li>Provide policy, procedures and standards used by data analysts and database administrators which align with required standards</li><li>Develop Data engineer and Operation support team (DataOps team).</li></ul>Communicate &amp; Train:<ul><li>Create documentation &amp; presentations that define the current state environment and future state/capabilities for variety of data.</li><li>Participate in numerous communities of practice groups including development, data architecture, business intelligence and analytics, and project management</li><li>Drive Data performance improvement efforts and facilitate the training of devops individuals and teams</li></ul><h4>What will you need to be successful?</h4><ul><li>Bachelor’s degree in computer science, systems analysis or a related study, or equivalent experience.</li><li>Requires mastery level knowledge of job area obtained through advanced education combined with experience. May have deep knowledge of project management.</li><li>Licenses/ Certifications: Architecture certificate is preferred.</li><li>Experience: You have a 10+ years rich background in data architecture and are well versed in large Data warehouse implementations. You have worked hands-on with multiple Cloud DW, Big Data, DBT, and NoSQL technologies.</li><li>Deployed a fully operational data solution into production on Snowflake DW with technologies such as Microsoft Azure, Azure DevOps, Azure Data Factory, Azure Monitor, AWS ecosystem or equivalent.</li><li>Understand SD/SN architecture and have deep experience in Data architecture.</li><li>Built modern approaches to automating data pipelines, leveraged code repositories and continuous integration tools.</li><li>Proven hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, and SlowAlert.</li><li>10 total years in data architecture, analytics, design, and development.</li><li>Data Management experience includes Data Governance, Master Data Management, Reference Data Management, and Metadata Management.</li><li>Customer-facing experience in consulting or delivery capacity, preferably in the Medical Device or similar industry.</li><li>Deliver tasks leading direct/indirect report up to 5 team members.</li><li>Agile project management methodology working experience is must.</li><li>Positive attitude and a strong commitment to delivering quality work.</li><li>Analytical and problem-solving skills with acute attention to detail.</li><li>Effective communication skills (written and verbal) to properly articulate complicated architecture design to management and other IT development partners.</li><li>Highly proficient in gaining consensus and collaboration with peers in the migration journey from current on prem to future state cloud-based technologies and architectures</li></ul>You Unlimited.We believe in crafting the greatest good for society. Our strongest investments are in our people and the patients we serve.Inclusion + Belonging: - Committed to Welcoming, Celebrating, and Thriving. Learn more about our Employee Inclusion Groups on our website (<a href="https://www.smith-nephew.com/" rel="noopener noreferrer" target="_blank">https://www.smith-nephew.com/</a>).Other reasons why you will love it here!<ul><li>Your Future: Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance.</li><li>Work/Life Balance: Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave.</li><li>Your Wellbeing: Parents’/Parents-in-Law’s Insurance (Employer Contribution of 8,000/- annually), Employee Assistance Program, Parental Leave.</li><li>Flexibility: Hybrid Work Model (For most professional roles)</li><li>Training: Hands-On, Team-Customized, Mentorship</li><li>Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowances.</li></ul>#LI-DP1Stay connected by joining our <a href="https://smithnephew.wd5.myworkdayjobs.com/External/page/4ba17039009510002b17ea5e89c40000" rel="noopener noreferrer" target="_blank">Talent Community</a>.We're more than just a company - we're a community! Follow us on <a href="https://www.linkedin.com/company/smith-&amp;-nephew/" rel="noopener noreferrer" target="_blank">LinkedIn</a> to see how we support and empower our employees and patients every day.   Check us out on <a href="https://www.glassdoor.com/Overview/Working-at-Smith-and-Nephew-EI_IE10233.11,27.htm" rel="noopener noreferrer" target="_blank">Glassdoor</a> for a glimpse behind the scenes and a sneak peek into You. Unlimited., life, culture, and benefits at S+N.Explore our <a href="https://www.smith-nephew.com/en/" rel="noopener noreferrer" target="_blank">website</a> and learn more about our mission, our team, and the opportunities we offer. <h4>Experience Level</h4>Senior Level

Smith & Nephew Healthcare

Systems Analyst

Senior Manager, Data Service Delivery<h4>Role: Senior Manager, D&amp;A Delivery, Data Services</h4>Location: Kharadi, Pune Life Unlimited. At Smith+Nephew, we design and manufacture technology that takes the limits off living. At Smith+Nephew, we’re building a diverse, forward-thinking Data &amp; Analytics team to accelerate our digital transformation journey. As we advance our global data maturity and deploy a unified cloud-based Snowflake platform, we’re creating a connected digital ecosystem that empowers smarter decisions across the organization. We’re looking for an accomplished Senior Manager – Data &amp; Analytics Delivery to lead the delivery of our Unified Data Platform on AWS and Snowflake, ensuring world-class data services for stakeholders worldwide. In this role, you’ll lead a high-performing team that designs and delivers cutting-edge data and machine learning pipelines, transforming business goals into scalable, insight-driven solutions. You’ll collaborate across business, IT, and vendor partners to enable innovation through data, driving impact with integrity, inclusion, and excellence.What will you be doing?<ul><li>Build and lead a team of data engineers, architects, and data analysts to execute end-to-end Data and Analytics projects from estimation, planning, resourcing, and monitoring perspectives.</li><li>Support Data &amp; Analytics departments across the entire company including manufacturing, operations, marketing, and finance</li><li>Oversee the delivery and health of analytics projects to meet business requirements. Monitor and review the status of the project and ensure that the deliverables are on track with respect to scope, budget, and time.</li><li>Identify and manage risks / issues related to deliverables and arrive at mitigation plans to resolve the issues and risks</li><li>Recruit Motivate, mentor, and lead elite analytics and data engineering team members.</li><li>Democratize data-driven decision making by arming all departments with the education, guidance, and tools needed to turn data into information and deploy it to maximize their impact.</li><li>Partner with Business Engagement team to understand their data analytics, reporting and eventually AI/ML needs and create data solutions to support them.</li><li>Drive data security in compliance with required legal and regulatory policy.</li><li>Keep pace with the changing business environment, technology, and data innovation to optimize data value.</li><li>Hold your teams accountable for consistent, timely delivery</li><li>Help build a strong data delivery team and implement a DevOps model.</li><li>Collaborate with data architecture and business engagement teams to drive the implementation of a Snowflake Datawarehouse (DW) on AWS; act as the data delivery owner and facilitate agile teams to deliver.</li><li>Recommend solutions to improve new and existing DW and Analytics solutions.</li><li>Lead business outcome focused conversations that will prioritize and deliver the right information at the right time and drive the ongoing solution build so that the desired outcomes are met.</li><li>Work with cross-functional stakeholders across the various business and technical teams to develop and execute effective data quality processes and procedures.</li><li>Ensure that a communication and engagement process is in place during and post project</li><li>Participate in numerous communities of practice groups including development, data architecture, business intelligence and analytics, and project management.</li></ul>What will you need to be successful?<ul><li>Education: Bachelor's degree in quantitative field (statistics, engineering, business analytics, information systems, aviation management or related degree)</li><li>Demonstrated customer-facing experience of 7-8 years in a consulting or delivery capacity, preferably in the Life Sciences, Medical Device or similar industry; the role requires strong collaboration with technical and functional teams.</li><li>Strong knowledge of data and analytics business process flow and/or entity relationship modeling; solid understanding of business intelligence tools (Power BI or Tableau), working with cloud-native tools (Snowflake and AWS).</li><li>Understanding of the full analytics project lifecycle from requirements gathering, analytical environment set up, analytics and data engineering project management, and handover and wrap up.</li><li>Demonstrable project governance understanding related to deliverables alignment and quality control; timelines, risk assessment, blocker identification and escalations; scope creep and resource allocation</li><li>Familiarity with agile projects and Agile SCRUM trained/certified; the culture in the team is fast-paced and requires strong collaboration with cross functional and cross geographical teams. You must have experience working with JIRA.</li><li>Build strong relationships with key stakeholders, vendors, working cross-functionally across the organisation.</li><li>Must be effective in a team and demonstrate leadership aptitude with strong problem solving, critical thinking skills, influencing, communication, and presentation skills.</li><li>Self-starter with history of balancing multiple priorities simultaneously with the ability to adapt to the changing needs of the business while meeting deadlines</li><li>Positive attitude and a strong commitment to delivering quality work.</li><li>Effective communication skills (written and verbal), documentation skills and presentation skills.</li><li>Highly proficient in gaining consensus and collaboration with peers in the migration journey from current on prem to future state cloud-based technologies and architectures.</li><li>Ability to work effectively with other technology teams as well as business partners.</li></ul> You Unlimited.We believe in crafting the greatest good for society. Our strongest investments are in our people and the patients we serve.Inclusion + Belonging: - Committed to Welcoming, Celebrating, and Thriving. Learn more about our Employee Inclusion Groups on our website (<a href="https://www.smith-nephew.com/" rel="noopener noreferrer" target="_blank">https://www.smith-nephew.com/</a>).Other reasons why you will love it here!<ul><li>Your Future: Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance.</li><li>Work/Life Balance: Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave.</li><li>Your Wellbeing: Parents’/Parents-in-Law’s Insurance (Employer Contribution of 8,000/- annually), Employee Assistance Program, Parental Leave.</li><li>Flexibility: Hybrid Work Model (For most professional roles)</li><li>Training: Hands-On, Team-Customized, Mentorship</li><li>Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowances.</li></ul>#LI-DP1Stay connected by joining our <a href="https://smithnephew.wd5.myworkdayjobs.com/External/page/4ba17039009510002b17ea5e89c40000" rel="noopener noreferrer" target="_blank">Talent Community</a>.We're more than just a company - we're a community! Follow us on <a href="https://www.linkedin.com/company/smith-&amp;-nephew/" rel="noopener noreferrer" target="_blank">LinkedIn</a> to see how we support and empower our employees and patients every day.   Check us out on <a href="https://www.glassdoor.com/Overview/Working-at-Smith-and-Nephew-EI_IE10233.11,27.htm" rel="noopener noreferrer" target="_blank">Glassdoor</a> for a glimpse behind the scenes and a sneak peek into You. Unlimited., life, culture, and benefits at S+N.Explore our <a href="https://www.smith-nephew.com/en/" rel="noopener noreferrer" target="_blank">website</a> and learn more about our mission, our team, and the opportunities we offer. <h4>Experience Level</h4>Senior Level

Senior Data ScientistSenior Data Scientist – Enterprise AnalyticsWant to be part of the Data &amp; Analytics organization, whose strategic goal is to create a world-class Data &amp; Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters.We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.About the RoleIn this opportunity as Senior Data Scientist, you will:<ul><li>Engage with stakeholders, business analysts and project team to understand the data requirements. </li><li>Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing.</li><li>Design analytical frameworks to provide insights into a business problem.</li><li>Explore and visualize multiple data sets to understand data available and prepare data for problem solving.</li><li>Build machine learning models and/or statistical solutions.</li><li>Build predictive models, generative AI solutions.</li><li>Use Natural Language Processing to extract insight from text.</li><li>Design database models (if a data mart or operational data store is required to aggregate data for modeling).</li><li>Design visualizations and build dashboards in Tableau and/or PowerBI.</li><li>Extract business insights from the data and models.</li><li>Present results to stakeholders (and tell stories using data) using power point and/or dashboards. </li></ul>About YouYou're a fit for the role of Senior Data Scientist if your background includes:<ul><li>Experience- 6-5 Years in the field of Machine Learning &amp; AI</li><li>Must have a minimum of 3 years of experience working in the data science domain</li><li>Degree preferred in a quantitative field (Computer Science, Statistics, etc.)</li><li>Both technical and business acumen is required</li><li>Technical skills</li><li>Proficient in machine learning, statistical modelling, data science and generative AI techniques</li><li>Highly proficient in Python and SQL</li><li>Experience with Tableau and/or PowerBI</li><li>Has worked with Amazon Web Services and Sagemaker</li><li>Ability to build data pipelines for data movement using tools such as Alteryx, GLUE</li><li>Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POC’s in building Generative AI solutions (GPT, Llama etc.,)</li><li>Hands on with Prompt Engineering</li><li>Experience in Customer Service, Finance, Sales and Marketing</li><li>Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning</li><li>Knowledgeable of AWS APIs for Machine Learning</li><li>Has worked with Snowflake extensively.</li><li>Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations.</li><li>Ability to communicate complex results in a simple and concise manner at all levels within the organization.</li><li>Consulting Experience with a premier consulting firm.</li></ul>#LI-SS5What’s in it For You?<ul><li>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.</li><li>Flexibility &amp; 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.</li><li>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.</li><li>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.</li><li>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.</li><li>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.</li><li>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.</li></ul>About UsThomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation <a href="http://careers.thomsonreuters.com/us/en/our-commitment-to-candidates#Accommodations" rel="noopener noreferrer" target="_blank">here</a>.Learn more on how to protect yourself from fraudulent job postings <a href="http://careers.thomsonreuters.com/us/en/protect-yourself-from-fraudulent-job-postings" rel="noopener noreferrer" target="_blank">here</a>.More information about Thomson Reuters can be found on <a href="http://thomsonreuters.com." rel="noopener noreferrer" target="_blank">thomsonreuters.com.</a><h4>Experience Level</h4>Senior Level

Thomson Reuters India Pvt Ltd

Manager - Supply Chain Data AnalystJob DescriptionUse Your Power for Purpose At Pfizer, technology impacts everything we do. Our digital and 'data first' strategy focuses on implementing impactful and innovative technology solutions across all functions, from research to manufacturing. By digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives. Your dedication and hard work will be instrumental in helping Pfizer achieve new milestones and make a positive impact on patients worldwide. What You Will Achieve In this role, you will: <ul><li>Lead and guide moderately complex projects, effectively managing time and resources</li><li>Apply skills and discipline knowledge to contribute to departmental work</li><li>Make decisions to resolve moderately complex problems and develop new options in non-standard situations</li><li>Work independently on assignments, seeking guidance on unusual or complex problems</li><li>Utilize judgment and experience to become a resource for others and guide operational teams</li><li>Facilitate agreements and collaboration between teams to ensure successful project delivery</li><li>Act as a thought leader on emerging digital technologies, contributing to the vision, strategy, design, and roadmap of digital products</li><li>Analyze support trends, lead process improvements, and evaluate data to understand user behavior and business trends</li><li>Ensure project management deliverables comply with regulatory standards and maintain strong partnerships with Pfizer teams through effective engagement models</li></ul> Here Is What You Need (Minimum Requirements) <ul><li>BA/BS with at least 4 years of experience or MBA/MS with at least 2 years of experience or PhD/JD with any years of experience or associate's degree with at least 8 years of experience or high school diploma (or equivalent) with at least 10 years of relevant experience</li><li>Stong Tableau reporting &amp; Power BI is required</li><li>Demonstrated experience of various Information Technology practices</li><li>Experience with System Application and Products eDoc framework</li><li>Familiarity with product analytics and strong ability to carry out analysis related to customer journey, user activity, product/feature performance, and other digital analytics</li><li>Understanding of financial concepts and key success factors for business performance</li><li>Knowledge of management reporting requirements and functional design</li><li>Excellent communication skills</li></ul> Bonus Points If You Have (Preferred Requirements) <ul><li>Master's degree</li><li>Relevant pharmaceutical industry experience</li><li>Management consulting experience</li><li>Experience with Agile Software Delivery and/or Scrum Master Certification</li><li>Ability to mentor and guide other colleagues</li><li>Strong collaboration and team facilitation skills</li><li>Ability to analyze support trends and lead process improvements</li></ul>   Work Location Assignment: Hybrid   Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.Information &amp; Business Tech<h4>Experience Level</h4>Mid Level

Pfizer Ltd

Supply Chain Manager

Data Scientist Senior AssociateOrganization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.Job Title : Senior Associate Data ScientistLocation: BangaloreBusiness &amp; Team: At CBA, our Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank.Impact &amp; contribution:As a key member of our Model Risk &amp; Validation team, you’ll drive robust validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, collaborating to uphold the integrity of our model risk framework while influencing the Group’s broader AI and transformation strategies.Roles &amp; Responsibilities:<ul><li>Model Validation – Apply your problem solving and critical thinking skills to assess model performance, compliance, and risks.</li><li>AI Evaluation Pipelines – Code in python or equivalent programming languages to establish evaluation pipelines for AI/Gen-AI models in a CI/CD environment.</li><li>Stakeholder Engagement – Establish strong professional relationships with model developers, business units, to ensure transparency and alignment.</li><li>Continuous Improvement – Develop and integrate AI-driven tools to enhance model development/validation quality and speed.</li></ul>Essential Skills: <ul><li>3 to 6 years of experience in the financial services and/or technology sector, or relevant experience in research.</li><li>Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and Py Torch; familiarity with version control (GitHub).</li><li>Ability to solve technical problems and execute validation tasks independently.</li><li>Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.</li><li>Any experience with Gen-AI techniques like RAG, prompt engineering, and/or orchestration tools (e.g., Lang Chain, Lang Graph) would be highly preferred.</li><li>Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.</li></ul>Education Qualification : Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology.If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through <a href="https://sidekick.hr.cba" rel="noopener noreferrer" target="_blank">Sidekick</a> to submit a valid application. We’re keen to support you with the next step in your career.We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.Advertising End Date: 21/11/2025<h4>Experience Level</h4>Senior Level

Commonwealth Bank of Australia

Data ScientistOrganization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.Job Title: Data Scientist, AI &amp; General Model Validation Location: BangaloreBusiness &amp; Team: Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank.At CBA, our Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group.Impact &amp; contribution:As a key member of our Model Risk &amp; Validation team, you’ll drive robust validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, collaborating to uphold the integrity of our model risk framework while influencing the Group’s broader AI and transformation strategiesRoles &amp; Responsibilities:<ul><li>Model Validation – Apply your problem solving and critical thinking skills to assess model performance, compliance, and risks.</li><li>AI Evaluation Pipelines – Code in python or equivalent programming languages to establish evaluation pipelines for AI/Gen-AI models in a CI/CD environment.</li><li>Stakeholder Engagement – Establish strong professional relationships with model developers, business units, to ensure transparency and alignment.</li><li>Continuous Improvement – Develop and integrate AI-driven tools to enhance model development/validation quality and speed.</li></ul>Essential Skills: <ul><li>6 to 9 years of experience working with predictive modelling, Gen-AI, and/or software engineering.</li><li>Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and Py Torch; familiarity with version control (GitHub).</li><li>Ability to solve technical problems and execute validation tasks independently.</li><li>Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.</li><li>Any experience with Gen-AI techniques like RAG, prompt engineering, and/or orchestration tools (e.g., Lang Chain, LangGraph) would be highly preferred.</li><li>Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.</li></ul>Education Qualification : Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology.If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through <a href="https://sidekick.hr.cba" rel="noopener noreferrer" target="_blank">Sidekick</a> to submit a valid application. We’re keen to support you with the next step in your career.We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.Advertising End Date: 20/11/2025<h4>Experience Level</h4>Senior Level

Technologist, Data Engineering<h4>Company Description</h4>Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.<h4>Job Description</h4>We are seeking a highly experienced and visionary Senior Data Scientist at the Technologist level to lead strategic AI/ML and GenAI initiatives. This role demands deep technical expertise, leadership in complex projects, and a passion for innovation in data science and advanced analytics. Key Responsibilities<ul><li>Lead the end-to-end data science lifecycle: problem definition, data acquisition, model development, deployment, and monitoring.</li><li>Architect and implement scalable AI/ML solutions using modern frameworks, cloud platforms, and MLOps best practices.</li><li>Drive GenAI initiatives including fine-tuning, prompt engineering, and integration into enterprise applications.</li><li>Provide strategic direction and thought leadership on advanced analytics adoption across the business.</li><li>Mentor, coach, and upskill a team of data scientists and engineers; foster a culture of innovation and collaboration.</li><li>Partner with cross-functional teams (engineering, product, factory operations, IT) to translate business needs into data-driven solutions.</li><li>Ensure model robustness, fairness, interpretability, and compliance with ethical AI standards.</li><li>Design and oversee experimentation frameworks (A/B testing, causal inference, statistical modeling) for data-driven decision making.</li><li>Stay ahead of emerging trends in AI, ML, and big data technologies; evaluate their potential for business impact.</li><li>Present insights, models, and strategies to senior leadership and non-technical stakeholders in clear, actionable terms.</li></ul><h4>Qualifications</h4><ul><li>MS/ME/MTech/PhD in Data Science, Statistics, Computer Science, or related fields.</li><li>~15 years of experience in data science, AI/ML, or advanced analytics, including leadership in complex projects.</li><li>Proven expertise in:</li><li>     Machine Learning, Deep Learning, and Statistical Modeling</li><li>     Optimization techniques for solving complex, high-dimensional problems.</li><li>     GenAI applications including architectures like RAG, fine-tuning, and LLMOps.</li><li>      Synthetic data generation and handling highly imbalanced and high-volume datasets.</li><li>      GenAI applications including architectures like RAG, fine-tuning, and LLMOps.</li><li>Experience with anomaly detection, pretrained transformers, and custom embedding models.</li><li>Strong proficiency in Python and SQL for data wrangling, analysis, and modeling.</li><li>Hands-on experience with TensorFlow, PyTorch, Pyspark, and related AI/ML frameworks.</li><li>Deep understanding of Big Data platforms (e.g., Spark, Hadoop, distributed databases, cloud data warehouses).</li><li>Experience in MLOps: model deployment, monitoring, versioning, and lifecycle management.</li><li>Strong knowledge of data architecture, pipelines, and feature engineering at scale.</li><li>Familiarity with data visualization tools: Tableau, Power BI, Matplotlib, Plotly.</li><li>Excellent communication and stakeholder management skills, with the ability to influence at senior levels. </li></ul><h4>Additional Information</h4>Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at <a href="mailto:jobs.accommodations@sandisk.com">jobs.accommodations@sandisk.com</a> to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.<h4>Experience Level</h4>Senior Level

SanDisk India Device Design Centre Pvt.Ltd

Data Scientist Senior StaffOrganization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.Job Title: Data Scientist, AI &amp; General Model Validation Location: BangaloreBusiness &amp; Team: Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank. At CBA, our Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank. Impact &amp; contribution:As a key member of our Model Risk &amp; Validation team, you’ll drive robust validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, guiding them to uphold the integrity of our model risk framework while influencing the Group’s broader AI and transformation strategies.Roles &amp; Responsibilities:<ul><li>Model Validation – Apply your problem solving and critical thinking skills to assess model performance, compliance, and risks.</li><li>AI Evaluation Pipelines – Code in python or equivalent programming languages to establish evaluation pipelines for AI/Gen-AI models in a CI/CD environment.</li><li>Stakeholder Engagement – Establish strong professional relationships with model developers, business units, to ensure transparency and alignment.</li><li>Continuous Improvement – Develop and integrate AI-driven tools to enhance model development/validation quality and speed.</li></ul>Essential Skills: <ul><li>6 to 9 years of experience working with predictive modelling, Gen-AI, and/or software engineering.</li><li>Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and Py Torch; familiarity with version control (GitHub).</li><li>Ability to solve technical problems and execute validation tasks independently.</li><li>Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.</li><li>Any experience with Gen-AI techniques like RAG, prompt engineering, and/or orchestration tools (e.g., Lang Chain, Lang Graph) would be highly preferred.</li><li>Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.</li></ul>Education Qualification : Bachelor’s degree or master’s degree in engineering in Computer Science/Information Technology.If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through <a href="https://sidekick.hr.cba" rel="noopener noreferrer" target="_blank">Sidekick</a> to submit a valid application. We’re keen to support you with the next step in your career.We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.Advertising End Date: 20/11/2025<h4>Experience Level</h4>Senior Level

Sr. Associate, Vx Data Product EngineeringGlobal Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions.  With colleagues across the globe, Commercial Analytics team's rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, digital analytics, finance, market research, and consulting. As a team, we collaborate to turn data into meaningful insights that will have a direct impact on patient's lives and the future of Pfizer as a data-driven organization.The Sr. Associate, Vx Data Product Engineering will own and manage key Data Products essential to the success of Vaccines Data Strategy, including<ul><li>Business Account Construct (BAC)</li><li>CORE Data Assets (e.g. Sales/Shipments, Contracting, Pharmacy, Claims, etc.)</li><li>Vx Foundational Models (e.g. APS, Pub/Pvt Split, Mfr Loyalty, Central Purchasing, Abrsyvo Split)</li><li>Vx Incentive Compensation</li></ul>This role will partner closely with key stakeholders across Data Strategy &amp; Management (DSM), Performance Analytics &amp; Insights (PAI), Digital, Master Data Management and third-party vendors to propel U.S. Vaccines past all competition by pioneering unrivaled data, analytics and AI that boldly redefine best-in-class and relentlessly advance adoption of and access to life-saving vaccines.  The ideal candidate brings a strong consultative mindset, commercial analytics domain expertise, and the ability to influence and drive innovation through agile, data-driven practices.Primary:<ul><li>Vx Commercial Data Ecosystem: Engineer and maintain portions of the U.S. Commercial Vx data asset ecosystem to ensure data operations are maintained with data quality, data integrity, and data availability supporting 500+ U.S. Vx commercial data users.</li><li>Vx Foundational Capabilities: Maintain and proactively identify opportunities to enhance existing Vx specific foundational capabilities (e.g. APS model, RSV split model, Public/Private split model, Central Purchasing model, and Manufacturer Loyalty model)</li><li>Performance: Enable U.S. Commercial Vx performance reporting and Sales Force Incentive Compensation programs using high quality Vx specific business data assets.</li><li>Customer: Manage U.S. Commercial Vx customer backbone or Business Account Construct (BAC) to ensure customer data is uniformly defined to ensure consistency across the entire commercial organization from HQ analytics to sales pull through.</li></ul>Secondary:<ul><li>Partnership: Partner closely with CMO ISE, CMO Data Science, Vx OE, and Digital teams to identify new Vx specific business data assets to support the short- and long-term strategic priorities of U.S. Vaccines.</li><li>Innovation: Pioneer new capabilities using Gen AI and other advancements in the AI space to enable lightspeed decision making across the U.S. Commercial Vx BU.</li></ul>Required:<ul><li>BA required, MS preferred, relevant fields include but are not necessarily limited to operations research, data science, statistics or computer programming</li><li>3+ years (BA) or 1+ years (MS) of experience in data strategy, data management and/or commercial analytics, ideally in the biopharma or healthcare industry</li><li>Deep understanding of key data types/sources used for vaccines commercial analytics</li><li>Robust knowledge of core data integration and data model design approaches</li><li>Proven experience building analytic data engineering pipelines</li><li>Strong analytical and communication skills with a demonstrated ability to translate business needs and analytical approaches into data asset design</li><li>Key skills</li><li>Proficient in data engineering code (SQL, Python, scripting, etc.)</li><li>File storage (S3)</li><li>GitHub for code management</li><li>Organization, Communication, Collaboration</li><li>Documentation</li><li>Ability to train | teach others</li></ul>Preferred<ul><li>Experience building scalable data product solutions spanning multiple brands, therapeutic areas and business units, leveraging synergies to maximize efficiency</li><li>Experience in partnering with Digital/IT functions to implement robust, production-level data products</li><li>Experience with Agile methodologies and data product management frameworks</li><li>Experience working with third-party data vendors in staff augmentation and/or project-based models</li><li>Key skills</li><li>Vx Business Knowledge</li><li>Deep understanding of commercial secondary analytics</li><li>Gen AI (e.g. LLMs)</li><li>Strategic Mindset</li></ul>   Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.Marketing and Market Research<h4>Experience Level</h4>Senior Level

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