178 Dataiku Jobs - Page 7

Develop and maintain scalable data pipelines. Collaborate with data scientists and analysts to support business needs. Work with cloud platforms like AWS, Azure, or Google Cloud. Effectively working with cross-functional teams. Data Modelling.

Job ID: 17435 Location: Bangalore, IN Area of interest: Audit, Accounting & Finance Job type: Regular Employee Work style: Office Working Opening date: 8 May 2025 Job Summary 8+ years of experience in Data Analytics or Data Quality or Data Governance or related functions This position as part of the DQ Monitoring and Analytics team in Finance & Treasury will play a pivotal role in implementing Technical Solutions for Data Quality and Analytics strategy for Finance & Treasury. The individual in this role will need to partner closely with numerous business functions to - Implement standardisation in the way Data Quality (DQ) issues are managed monitored and tracked across the Finance & Treasury Processes. Contribute towards the creation of a data analytics capability to centralise and analyse adjustments, data quality exceptions. Provide insight into inconsistencies and common themes for resolution. Provide expert data quality and analytics capability to identify and correlate DQ issues across Finance into common root cause and resolution. Develop real time technical use cases to improve or bridge the control weaknesses and help the technology team to implement them. Identify the change, recommend and prioritize them appropriately for creating efficiency within the projects. Key Responsibilities Strategy Work with technology and business stakeholders to produce a clear data profiling, data analytics and MI strategy across Finance and Treasury. Establish a cross cutting DQ platform to correlate exceptions, adjustments and DQ issues to identify inconsistencies and the most impactful areas for remediation. Business Work closely with upstream business functions to validate and identify DQ issues as close to source as possible. Understand the booking models, trade processing and system landscape for SCB business functions. Work with Risk to understand and correlate DQ controls, exceptions and adjustments for BCBS239 purposes. People & Talent Provide process teams with self-service capability and training to conduct data analysis in a methodical manner Risk Management Responsible for identifying, assessing, monitoring, controlling and mitigating risks to the Group relevant to F&T Data Quality. Governance Provide information into DQ Governance forums for all relevant Finance and Treasury Processes (where material DQ Risk is identified). Present updates into the Finance Regulatory Remediation Programme on progress against the overall Data Quality Monitoring Plans. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Lead to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] Key stakeholders Group COO, Head of Finance, Group Treasurer Finance and Treasury Management Teams Head of Data & Analytics - Finance & Treasury Head of DQM, Head of Data Governance, Finance & Treasury BCBS239 programme team Business COO’s & Business Leaders (Data providers and data consumers) CFOs, CIOs, CDO Risk, Audit and Compliance (Risk also as partners in data sourcing / DQ / BCBS 239 etc) External Consultants / Agents Regulators Skills and Experience Data Scientist Design data modelling processes to create machine learning algorithms and predictive models Extract data from multiple sources like Relational Databases and Bigdata Advanced Python Scripting / SQL Advanced Analytics Tools e.g. Dataiku, Alteryx JIRA, Bitbucket, Jenkins (Dev & Ops) Knowledge of Cloud Platforms e.g. Azure, AWS Agile Methodology (User Stories, Epics, Tasks) BI Tools Tableau / Power BI (BI tool) Fetch data from multiple sources like Relational Databases and Bigdata Dashboard designing and development Advanced SQL Queries Database tables, index, partitioning, query performance tuning Source Code Control Python scripting Agile Methodology (User Stories, Epics, Tasks) Data Quality tools Informatica Data Quality Qualifications EDUCATION - Graduate (Engineering/ Mathematics/ Economics/ Science) / MBA, PG Diploma or related degree in Banking / Finance / Statistics or any data and quantitative field from an institute of repute CERTIFICATIONS - Data Quality tools or Data Science (added advantage) About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Additional Locations India-Bengaluru; India-Bengaluru-Remote; India-Chandigarh; India-Chandigarh-Remote; India-Hyderabad-Remote; India-Mohali; India-Mohali-Remote; India-Mumbai; India-Mumbai-Remote Job ID R0000030606 Category IT ABOUT THIS ROLE Key Accountabilities : Using Microsoft Azure data PaaS services, design, build, modify, and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting. If necessary, create prototypes to validate proposed ideas and solicit input from stakeholders. Excellent grasp of and expertise with test-driven development and continuous integration processes. Analysis and Design – Converts high-level design to low-level design and implements it. Collaborate with Team Leads to define/clarify business requirements, estimate development costs, and finalize work plans. Run unit and integration tests on all created code – Create and run unit and integration tests throughout the development lifecycle. Benchmark application code proactively to prevent performance and scalability concerns. Collaborate with the Quality Assurance Team on issue reporting, resolution, and change management. Support and Troubleshooting – Assist the Operations Team with any environmental issues that arise during application deployment in the Development, QA, Staging, and Production environments. Assist other teams in resolving issues that may develop as a result of applications or the integration of multiple components. Knowledge and Experience : Understanding of design concepts and architectural basics. Knowledge of performance engineering. Understanding of quality processes and estimate methods. Fundamental grasp of the project domain. The ability to transform functional and nonfunctional needs into system requirements. The ability to develop and code complicated applications is required. The ability to create test cases and scenarios based on specifications. Solid knowledge of SDLC and agile techniques. Knowledge of current technology and trends. Logical thinking and problem-solving abilities, as well as the capacity to collaborate. Primary skills: Cloud Platform, Azure, Databricks, ADF, ADO. Sought: Denodo, SQL, Python, PowerBI, CDC Tools (preferably Striim). General Knowledge: PowerApps, Java, DataIKU. 6-10 years of experience in software development with minimum 2 years of cloud computing. Education : Bachelor of Science in Computer Science, Engineering, or related technical field.

Job Description Senior Manager, Data Visualization Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview A unique opportunity to be part of an Insight & Analytics Data hub for a leading biopharmaceutical company and define a culture that creates a compelling customer experience. Bring your entrepreneurial curiosity and learning spirit into a career of purpose, personal growth, and leadership. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world's greatest health threats As a Senior manager in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis, and high-quality data to support decision-making in clinical trials. What Will You Do In This Role Design & develop user-centric data visualization solutions utilizing complex data sources. Identify & define key business metrics and KPIs in partnership with business stakeholders. Define & develop scalable data models in alignment & support from data engineering & IT teams. Lead UI UX workshops to develop user stories, wireframes & develop intuitive visualizations. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions. Apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders. Provide thought leadership and data visualization best practices to the broader Data & Analytics organization. Identify opportunities to apply data visualization technologies to streamline & enhance manual / legacy reporting deliveries. Provide training & coaching to internal stakeholders to enable a self-service operating model. Co-create information governance & apply data privacy best practices to solutions. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace. What Should You Have 6-10 years’ relevant experience in data visualization, infographics, and interactive visual storytelling Working experience and knowledge in Power BI / QLIK / Spotfire / Tableau and other data visualization technologies Working experience and knowledge in ETL process, data modeling techniques & platforms (Alteryx, Informatica, Dataiku, etc.) Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) & data processing languages (SQL, Python, R, etc.) Experience in leveraging and managing third party vendors and contractors. Self-motivation, proactivity, and ability to work independently with minimum direction. Excellent interpersonal and communication skills Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity. Experience in Pharma and or Biotech Industry is a plus. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills Job Posting End Date 04/29/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R336584

Job Description Specialist- Data Visualization Our Human Health Digital, Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of communicating, measuring, and interacting with our customers and patients leveraging digital, data and analytics. Are you passionate about helping people see and understand data? You will take part in an exciting journey to help transform our organization to be the premier data-driven company. As a Specialist in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Responsibilities Develop user-centric scalable visualization and analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact.Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations.Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices.Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement.Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities.Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplaceEnsuring timely delivery of high-quality outputs, while creating and maintaining SOPs, KPI libraries, and other essential governance documents. Required Experience And Skills 5+ years of experience in business intelligence, insight generation, business analytics, data visualization, infographics, and interactive visual storytellingHands-on expertise in BI and visualization tools such as Power BI, MicroStrategy, and ThoughtSpotSolid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python.Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights.Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics.Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently.Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles.Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 04/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335067

Assistant Vice President / Associate level role to join our Analytics & Data organization as part of the Key Metrics Analytics function. The candidate will be responsible for the ongoing monitoring, analysis and reporting on key business data metrics for the management and stakeholders, collaborating to help determine timely solutions and providing actionable insights. Key Responsibilities Key responsibilities will include, but will not be limited to the following: > Analytical skills - Analyze data to identify key trends and anomalies for key business metrics. > Problem solving skills - Ability to identify key issues, gather data to investigate those issues and develop actionable recommendations. > Develop a suite of processes needed for data analysis, trends identification & and detect data discrepancies. > Teamwork skills - The candidate must be flexible in their work style and be able to work collaboratively with A&D team-members in Mumbai, NY/NJ, and Budapest. > Provide reporting support as needed. Experience: > Associate: 2 years' experience in data-centric role (Overall 3-5 years). > Bachelor's degree required. > Experience in Data & Analytics and/or Financial Services is a plus Required Skills > Ability to work independently and possess a strong sense of accountability/ownership. > Must be a self-starter and a quick learner, able to prioritize and delegate effectively to manage delivery/execution of a wide range of tasks and initiatives. > Strong written, verbal, presentation, and interpersonal skills > Proficient in SQL, MS Excel, PowerPoint > Experience or knowledge in these skills is a plus - Snowflake, Hadoop, Python, Dataiku, Tableau > Ability to work in a team environment and partner with multiple individuals across various groups. > Strong analytical and problem-solving skills. > Strong diligence, aptitude for working with numerical information. > Experience and strong aptitude in using different data environments. > Demonstrated effectiveness with both oral and written communication. > Comfortable in a fast-paced and evolving environment which includes ongoing learning and training opportunities. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Role & responsibilities Strong proficiency in SQL and experience with database management systems. Strong proficiency in Geospatial Analysis. Strong proficiency in data analytics tools such as Dataiku and Tableau. Extensive experience with data modelling, data transformation, and data analysis. Strong understanding of ETL processes and data integration techniques. Good to have skills: Familiarity with programming languages such as Python is a plus. Knowledge of cloud platforms such as AWS, Azure, or GCP is beneficial. Experience with version control systems like Git.

Role: Business Associate Location: Bangalore Roles and Responsibilities Design, develop, and maintain robust analytics pipelines to support customer-facing dashboards and reports. • Collaborate with stakeholders to understand their data requirements and translate them into technical specifications. • Perform data modelling, data transformation, and data analysis to ensure data accuracy and integrity. • Develop and maintain interactive dashboards and visualizations using tools like Tableau. • Utilize Dataiku for data preparation, machine learning, and data pipeline automation. • Optimize SQL queries and database performance to handle large datasets efficiently. • Perform the Geospatial analysis using the IoT data. • Ensure data quality and consistency across various data sources and platforms. • Monitor and troubleshoot data pipelines and dashboards to ensure their reliability and performance. • Maintain comprehensive data documentation and communicate results effectively to stakeholders. • Collaborate with data team members to align strategies and deliverables. Required Skills Must have skills: • Strong proficiency in SQL and experience with database management systems. • Strong proficiency in Geospatial Analysis • Strong proficiency in data analytics tools such as Dataiku and Tableau. • Extensive experience with data modelling, data transformation, and data analysis. • Strong understanding of ETL processes and data integration techniques. Good to have skills: • Familiarity with programming languages such as Python is a plus. • Knowledge of cloud platforms such as AWS, Azure, or GCP is beneficial. • Experience with version control systems like Git.

Job Description Pfizer’s Chief Digital Office (CDO) leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes. The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization, is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies. Part of the Analytics Experience team are a group of Platform Engineers who are responsible for managing components that form the enterprise analytics platform. The enterprise analytics platform will be the digital engine that brings together investments we have made into a unified experience for colleagues that take us to the next level of value creation. It powers next generation insights by developing enterprise-grade data foundations, allowing data to flow horizontally, enabling a versatile analytics environment, and embedding insights into day-to-day work to create a digital, data-driven culture. In this role, you will act as an experienced engineer for the Data Science platform that serves a diverse group of colleagues – ranging from novice business analysts to expert data scientists – across the enterprise. The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform. You may have a software development background, or an engineering background or you were raised in a modern data analytics culture from the start of your career. You will have the ability to work with technology vendors, support resources, delivery partners, Pfizer stakeholders, and apply emerging and traditional technologies for analytics improvements in support of enterprise analytics platform strategy. Role Responsibilities Support the operations of multiple Dataiku DSS environments globally – and supporting self-service tenantsSupport the automation of operation, installation, and monitoring of the data science ecosystem components in our infrastructure stackResolve critical support issues with a high degree of technical complexity. Document knowledge in the form of incident notes, technical articles, and contributions to knowledge bases or forums within specific areas of expertise. Measure and monitor service and support performance and health (SLAs, KPIs, etc.)Perform maintenance activities to ensure high availabilityPartner with User Success team to maintain key informational content, drive platform adoption, and champion a strong user communityCollaborate with engineering and support teams on platform lifecycle managementSupport change governance and continuous improvement effortsCollaborate with vendors and internal engineering teams on evaluating new technologies, supportabilityDevelop and maintain operational run-books and training curricula for support teamsDirectly engage and communicate with key business and technical stakeholders Basic Qualifications Bachelor's degree in Computer Science, Statistics, or related fieldAt least 5 years of professional experienceExperience with engineering or technical role experience, ideally involving a complex and rapidly evolving software/productComfort working with and reading code. Experience working with at least one type of relational database and SQL. Some experience with big data technologies, such as Hadoop, Spark, or Kubernetes. Some experience with cloud platforms such as AWS, Azure, and GCP. Some experience with python. Grit when faced with technical issues - you don't rest until you understand what is happening and why things are not working. Excellent problem solving and analytical skills with an aptitude for learning new technologies. Strong communication skills and the ability to interface with both technical and non-technical individuals as needed. Hands-on experience and proficiency with DevOps and information tools – e.g., JIRA, Confluence, SharePoint, Yammer, etc. Excellent verbal and written communication skills Preferred Qualifications Familiarity with Ansible and other application deployment tools. Some experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAMSome experience debugging networking issues such as DNS resolutions, proxy settings, security groupsSome knowledge of data science / machine learningSome knowledge of Java 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 & Business Tech

? Technically sound to lead discussion in the space of data analytics, business intelligence and DevOps support to data science team. Hands-on experience with Dataiku DSS for data preparation, including workflows, automation and model deployment Experience leading design discovery meetings with end-users is preferred Strong experience with data modelling, including designing schemas and writing complex SQL queries. Excellent troubleshooting, testing and validation skills for data pipelines in Dataiku. Solid experience of Dataiku connectivity with HDFS, Hadoop, Spark, Impala, Oracle, Teradata, Snowflake and other Cloud systems. Ability to work with huge datasets. Experience working in Python Identify trends, correlations, and key business drivers using Dataiku, SQL, Python. Optimize Dataiku pipelines for improved efficiency and performance Deploy and monitor ML models within Dataiku Have a good understanding of data management systems and processes within the ecosystem. She/he should be able to coach, guide and mentor junior members in the team Provide support and training to users on Dataiku best practices and functionalities. Experience working in an Agile or fast paced and dynamic environment is a plus. Must have worked in continuous integration and continuous delivery (CI/CD) environment. Ability to work with minimum supervision, collaborate with geographically dispersed teams. Outstanding written and verbal communication skills Knowledge of Financial Products is a PLUS Dedication to fostering an inclusive culture and value diverse perspectives.

?About The Role Mandatory Skills DataIku, Machine Learning, Python for Data Science Good To Have DataIku Admin, Mongo DB, Cloud Platforms (AWS/ Azure/ GCP), Cloud-native data services, including Snowflake, BigQuery, or Databricks

Purpose of the Job:- As a Data Engineer, this position requires candidate who are enthusiastic about specialized skills in any DE tools like Python/Dataiku/Spark/SAS DI and features. As a member of the team, you will help our clients, by building data pipelines that supports to progress on their Data and Analytics journey. Must have: Experience on data engineering tools like Python/Dataiku/Spark/SAS data integration Collate data from various data sources and implement business logic while loading into data mart layer Must have strong SQL experience and extract data from various databases and perform required analysis on data Should have BI knowledge to understand the analytics needs of business users Communication with business users to understand the requirements. Able to convert the business requirements into technical requirements Understanding of data modeling concepts, including relational and dimensional modeling.

Why Patients Need You The Revenue Management (RM) Digital Solutions team manages technology strategy and delivery for the Pfizer’s Commercial Business Units, the Global Access and Value (GAV) organization and Pfizer Commercial Finance teams. The team plays a critical role in ensuring Patients can easily access Pfizer’s breakthrough medicines through contracting opportunities with Payer and Providers. What You Will Achieve This role will be responsible to configure, maintain and enhance strategic technology platforms and related reporting dashboards that support market access pre-deal analytics, post-deal analytics and broader performance reporting. These web-based tools are used by Market Access Strategy, Pricing and Analytics (MASPA) teams that are responsible for payer and provider contract analytics. The candidate will be accountable for finding the most effective ways for technology to support Pfizer’s business objectives in these domains and optimize the return on all technology investments. The ideal candidate would be someone with strong technical skill on Data management tools, Data Architecture, data profiling/quality tools, AWS services, Tableau, Snowflake, Informatica Cloud Services, Dataiku AI/ML tools. This role will work closely with functional and technical leads and become a subject matter expert with solutions to identify, develop, and deploy processes and reporting. The role will lead Deal Analytics data integration, create analytic solutions, and utilize data prep and visualization platforms. How You Will Achieve It Evaluates and implements solutions to meet business requirements, ensuring consistent usage and adherence to data management best practices. Collaborates with product owners to prioritize features and manage technical requirements based on business needs, new technologies, and known issues. Develops application design and documentation for leadership teams. Assists in defining the vision for the shared data model, including sourcing, transformation, and loading approaches. Manages daily operations of the team, ensuring on-time delivery of milestones. Accountable for end-to-end delivery of program outcomes within budget, aligning with relevant business units. Fosters collaboration with internal and external stakeholders, including software vendors and data providers. Works independently with minimal supervision, capable of making recommendations. You will have the opportunity to: Demonstrate a solid ability to tell a story with simplistic views of complex datasets. Deliver data reliability, efficiency, and best-in-class data governance, ensuring security and compliance. Will be an integral part of developing best-in-class solution for the GAV organization. Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools. Work in close collaboration with business teams throughout MASPA (Market Access Strategy Pricing and Analytics) to determine tool functionality/configuration and data requirements to ensure that the analytic capability is supporting the most current business needs. Partner with the Digital Client Partners to align on priorities, processes and governance and ensure experimentation to activate innovation and pipeline value. Qualifications Must-Have Bachelor’s degree in computer science, Software Engineering, or engineering related area. 5+ years of relevant experience emphasizing data modeling, development, or systems engineering. 1+ years with a data visualization tool (e.g. Tableau, Power BI). 2+ Years of experience in any number of the following tools, languages, and databases: (e.g. MySQL, SQL, Aurora DB, Redshift, Snowflake). Demonstrated capabilities in integrating and analyzing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns. Demonstrated expertise and capabilities in matrixed, cross-functional teams and influencing without authority. Proven experience and demonstrated skills with AWS services, Tableau, Airflow,Python and Dataiku. Must be experienced in DevSecOps tools JIRA, GitHub. Experience in Database design tools. Deep knowledge of Agile methodologies and SDLC processes. Excellent written, interpersonal, and oral communication skills, communicate and liaise broadly across functions and the global organization. Strong analytical, critical thinking, and troubleshooting skills. Ambition to learn and utilize emerging technologies while working in a stimulating team environment. Nice-to-Have Advanced degree in Computer Engineering, Computer Science, Information Systems or related discipline. Knowledge with GenAI and LLMs framework (OpenAI, AWS). US Market Access functional knowledge and data literacy. Statistical analysis to understand and improve possible limitations in models. Experience in AI/ML frameworks. Pytest and CI/CD tools. Experience in UI/UX design. Experience in solution architecture & product engineering. Organizational Relationships Global Access and Value OrganizationMarket Access Strategy, Pricing and AnalyticsChannel Management, Contract OperationsTrade OperationsGovernment PricingManaged Markets FinanceVaccines Business Unit LeadershipCommercial Leaders for newly launched brandsAIDA Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech

AI - Technical Product Owner System Analysis Associate Advisor Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We are looking for an experienced and proactive Technical Product Owner (System Analyst) to join our AI-focused team. As a key liaison between the onshore Product Owner and the offshore development and QA team, you will be responsible for owning the product roadmap, defining technical requirements, and driving the implementation of backend and AI initiatives. This role is ideal for someone with strong technical expertise, exceptional communication skills, and a passion for delivering high-quality products in collaboration with cross-functional teams. Key Responsibilities: Collaborate with the onshore Product Owner to translate business objectives into detailed technical requirements and actionable tasks. Own the product roadmap and backlog, ensuring alignment with business priorities and team capacity. Act as the primary point of contact for the offshore development and QA team, ensuring clear communication of requirements, priorities, and timelines. Work closely with developers and QA engineers to design, validate, and deliver high-quality AI-integrated backend systems and workflows. Define acceptance criteria and review deliverables to ensure they meet functional, technical, and business requirements. Facilitate sprint planning, daily stand-ups, retrospectives, and other Agile ceremonies for the offshore team. Drive the adoption of best practices for backend development, system integration, and AI implementation. Monitor and report on the progress of initiatives, identifying risks and ensuring timely resolution of blockers. Maintain a strong understanding of the technical stack, including Python-based backend systems, APIs, and cloud services (preferably AWS). Advocate for continuous improvement in processes, tools, and team collaboration. Qualifications: 8 to 11 years of experience as a Technical Product Owner, System Analyst, or similar role in a technology-focused environment. Strong technical background, with experience in backend systems, APIs, and cloud platforms. Excellent understanding of Agile methodologies and experience working in Agile teams. Proven ability to write clear and concise user stories, technical requirements, and acceptance criteria. Hands-on experience collaborating with development and QA teams, especially in offshore/onsite models. Knowledge of Python, system integrations, and cloud services like AWS is a significant advantage. Exposure to AI tools and workflows (e.g., Langchain, Langraph, Agentic) is a plus. Exceptional communication and leadership skills, with the ability to influence and motivate cross-functional teams. Strong problem-solving and analytical skills, with a focus on delivering high-quality solutions. What We Are Looking For: A proactive leader capable of owning the product and driving initiatives from concept to delivery. A collaborative team player who can bridge the gap between business stakeholders and technical teams. Someone with a passion for technology, particularly AI, and a desire to continuously improve products and processes. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.

Technical Product Owner System Analysis Associate Advisor Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We are looking for an experienced and proactive Technical Product Owner (System Analyst) to join our AI-focused team. As a key liaison between the onshore Product Owner and the offshore development and QA team, you will be responsible for owning the product roadmap, defining technical requirements, and driving the implementation of backend and AI initiatives. This role is ideal for someone with strong technical expertise, exceptional communication skills, and a passion for delivering high-quality products in collaboration with cross-functional teams. Key Responsibilities: Collaborate with the onshore Product Owner to translate business objectives into detailed technical requirements and actionable tasks. Own the product roadmap and backlog, ensuring alignment with business priorities and team capacity. Act as the primary point of contact for the offshore development and QA team, ensuring clear communication of requirements, priorities, and timelines. Work closely with developers and QA engineers to design, validate, and deliver high-quality AI-integrated backend systems and workflows. Define acceptance criteria and review deliverables to ensure they meet functional, technical, and business requirements. Facilitate sprint planning, daily stand-ups, retrospectives, and other Agile ceremonies for the offshore team. Drive the adoption of best practices for backend development, system integration, and AI implementation. Monitor and report on the progress of initiatives, identifying risks and ensuring timely resolution of blockers. Maintain a strong understanding of the technical stack, including Python-based backend systems, APIs, and cloud services (preferably AWS). Advocate for continuous improvement in processes, tools, and team collaboration. Qualifications: 8 to 11 years of experience as a Technical Product Owner, System Analyst, or similar role in a technology-focused environment. Strong technical background, with experience in backend systems, APIs, and cloud platforms. Excellent understanding of Agile methodologies and experience working in Agile teams. Proven ability to write clear and concise user stories, technical requirements, and acceptance criteria. Hands-on experience collaborating with development and QA teams, especially in offshore/onsite models. Knowledge of Python, system integrations, and cloud services like AWS is a significant advantage. Exposure to AI tools and workflows (e.g., Langchain, Langraph, Agentic) is a plus. Exceptional communication and leadership skills, with the ability to influence and motivate cross-functional teams. Strong problem-solving and analytical skills, with a focus on delivering high-quality solutions. What We Are Looking For: A proactive leader capable of owning the product and driving initiatives from concept to delivery. A collaborative team player who can bridge the gap between business stakeholders and technical teams. Someone with a passion for technology, particularly AI, and a desire to continuously improve products and processes. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.

Job Summary Core technical skills in Big Data (HDFS, Hive, Spark, HDP/CDP, ETL pipeline, SQL, Ranger, Python), Cloud (either AWS or Azure preferably both) services (S3/ADLS, Delta Lake, KeyVault, Hashicorp, Splunk), DevOps, preferably Data Quality & Governance Knowledge, preferably hands-on experience in tools such DataIku/Dremio or any similar tools or knowledge on any such tools Should be able to lead project and report timely status Should ensure smooth release management Key Responsibilities Strategy Responsibilities include development, testing and support required for the project Business IT-Projects-CPBB Data Technlgy Processes As per SCB Governance People & Talent Applicable to SCB Guidelines Risk Management Applicable to SCB standards Regulatory & Business Conduct Display exemplary conduct and live by the Groups Values and Code of Conduct Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct Lead to achieve the outcomes set out in the Banks Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment ] Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters Key stakeholders Athena Program Other Responsibilities Analysis, Development, Testing and Support , Leading the team, Release management Skills And Experience Hadoop SQL HDFS Spark Hive Python ETL Process ADO & Confluence Dremio Qualifications Hadoop,HDFS,HBASE,Spark,Scala, ADO & Confluence,ETL Process, SQL(Expert), Dremio(Entry),Dataiku(Entry) About Standard Chartered We're an international bank, nimble enough to act, big enough for impact For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours When you work with us, you'll see how we value difference and advocate inclusion Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum Flexible working options based around home and office locations, with flexible working patterns Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies everyone feels respected and can realise their full potential

About The Role :: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice

Dear Candidate, This is regarding an opportunity for Power BI with Dataiku or RStudio Professionals. PFB the Job Description Strong knowledge in Power BI report and dashboard development, data source preparation, and data blending from various sources, The resource will be supporting end-users for their self-service reporting needs and Able to provide solutions for optimal performance of report/dashboard creation, Should have experience with Power BI reporting server and Environment segregation, good to have an experience with Power BI online and administrative skills and experience in hybrid report development would be advantageous. Data Preparation tools using tools like Dataiku or RStudio or similar Data Modeling & writing SQL Queries to explore the DB data and prepare the Data Models & Data Sources for Reports/Dashboard Preparation of reports using tools like Power BI and define governance around report creation and maintenance process. Experience with Starburst to prepare the Materialized views with the help of Data Analyst Experience in preparing schedules for the reports Experience on Dashboarding tools like Tableau Total experience - 9-15years Skill- Power BI with Dataiku or RStudio Location - Chennai /Bangalore If you possess the relevant experience, kindly share the Following Details and Updated Resume on below mentioned Email Id Total Experience Current Org Current CTC Expected CTC Notice Period

Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? Join Pfizer Digital’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Data Science Industrialization team is a key driver of Pfizer’s digital transformation, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production. As a Sr. Associate, AI and Data Science Full Stack Engineer, you will join the Data Science Industrialization team. Your responsibilities will include implementing AI solutions at scale for Pfizer business. You will iteratively develop and continuously improve data science workflows, AI based software solutions and AI components. Role Responsibilities Contribute to the end-to-end build and deployment of data science and analytics products and AI modulesDevelop server-side logic using back-end technologies such as PythonContribute to the implementation of data ETL pipelines using Python and SQLBuild web applications with JavaScript frameworksBuild data visualizations and data applications to enable data exploration and insights generationMaintain infrastructure and tools for software development and deploying using IaC toolsAutomate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software deliveryImplement logging and monitoring tools to gain insights into system behavior. Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutionsBuild data visualizations and data applications to enable data exploration and insights generation (e.g. Tableau, Power BI, Dash, Shiny, Streamlit, etc.). Stay up-to-date with emerging technologies and trends in your field. Basic Qualifications Bachelor's or Master's degree in Computer Science, or a related field (or equivalent experience). 2+ years of experience in software engineering, data science, or related technical fields. Experience in programming languages such as Python or RFamiliarity with back-end technologies, databases (SQL and NoSQL), and RESTful APIs. Familiarity with data manipulation and preprocessing techniques, including data cleaning, data wrangling and feature engineering. Highly self-motivated, capable of delivering both independently and through strong team collaboration. Ability to creatively tackle new challenges and step outside your comfort zone. Strong English communication skills (written and verbal). Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related disciplineExperience in CI/CD integration (e.g. GitHub, GitHub Actions) and containers (e.g. docker)Understanding of statistical modeling, machine learning algorithms, and data mining techniques. Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platformsKnowledge about BI backend concept like Star Schema and SnowflakeFamiliarity in building low code dashboard solution tools like Tableau, Power BI, Dash and StreamlitExperience developing dynamic and interactive web applications; familiar with React, AngularJS, Vue. Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudformationFamiliarity with cloud-based analytics ecosystems (e.g., AWS, Snowflake). Hands on experience working in Agile teams, processes, and practices Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: North America, Europe, Asia) Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech

Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical, and commercial domains through engineering, data science, and AI? Then join Pfizer Digital’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our colleagues, patients and physicians. Our collection of engineering, data science, and AI professionals are at the forefront of Pfizer’s transformation into a digitally driven organization that leverages data science and AI to change patients’ lives. The Data Science Industrialization team within Data Science Solutions and Initiatives is a critical driver and enabler of Pfizer’s digital transformation, leading the process and engineering innovation to rapidly progress early AI and data science applications from prototypes and MVPs to full production. As a Senior Manager, AI and Data Science Solution Engineer, you will be a technical expert within the Data Science Industrialization team charged with architecting and implementing AI solutions and reusable AI components. You will identify, design, iteratively develop, and continuously improve reusable components for AI that accelerate use case delivery. You will implement best practices and maintain standards for AI application and API development, data engineering and data pipelining, data science and ML engineering, and prompt engineering to enable understanding and re-use, drive scalability, and optimize performance. In addition, you will be responsible for providing critical input into the AI ecosystem and platform strategy to promote self-service, drive productization, and collaboration, and foster innovation. Role Responsibilities Develop scalable and reliable, AI solutions and reusable software componentsAs a tech lead, enforce coding standards, best practices, and thorough testing (unit, integration, etc.) to ensure reliability and maintainabilityDefine and implement robust API and integration strategies to seamlessly connect reusable AI components with broader systemsDefine and implement robust technical strategies in areas such as API integration to connect reusable AI components with broader systems, industrialized AI accelerators, and the delivery of scalable AI solutionsDemonstrate a proactive approach to identifying and resolving potential system issuesTrain and guide junior developers on concepts such as data analytics, machine learning, AI, and software development principles, tools, and best practicesFoster a collaborative learning environment within the team by sharing knowledge and expertiseAct as a subject matter expert for solution engineering on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support for software development needsDirect research in areas such as data science, software development, data engineering and data pipelines, and prompt engineering, and contribute to the broader talent building framework by facilitating related trainingsCommunicate value delivered through reusable AI components to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and evangelize innovative ideas of reusable & scalable development approaches/frameworks/methodologies to enable new ways of developing AI solutionsProvide strategic and technical input to the AI ecosystem including platform evolution, vendor scan, and new capability developmentPartner with AI use case development teams to ensure successful integration of reusable components into production AI solutionsPartner with AIDA Platforms team on end to end capability integration between enterprise platforms and internally developed reusable component accelerators (API registry, ML library / workflow management, enterprise connectors)Partner with AIDA Platforms team to define best practices for reusable component architecture and engineering principles to identify and mitigate potential risks related to component performance, security, responsible AI, and resource utilization Basic Qualifications Bachelor’s degree in AI, data science, or computer engineering related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline)7+ years of work experience in data science, analytics, or solution engineering, with a track record of building and deploying complex software systemsRecognized by peers as an expert in data science, AI, or software engineering with deep expertise in data science or backend solution architecture, and hands-on developmentExpert knowledge of backend technologies; familiar with containerization technologies like Docker; understanding of API design principles; experience with distributed systems and databases; proficient in writing clean, efficient, and maintainable codeStrong understanding of the Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP)Demonstrated experience interfacing with internal and external teams to develop innovative AI and data science solutionsExperience working in a cloud based analytics ecosystem (AWS, Snowflake, etc)Highly self-motivated to deliver both independently and with strong team collaborationAbility to creatively take on new challenges and work outside comfort zoneStrong English communication skills (written & verbal) Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related disciplineExperience in solution architecture & designExperience in software/product engineeringStrong hands-on skills in ML engineering and data science (e.g., Python, R, SQL, industrialized ETL software)Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platformsExperience in CI/CD integration (e.g. GitHub, GitHub Actions or Jenkins)Deep understanding of MLOps principles and tech stack (e.g. MLFlow)Experience with Dataiku Data Science StudioHands on experience working in Agile teams, processes, and practices Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: North America, Europe, Asia) Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech

Core Responsibilities: Implement data ingestion and operationalization processes as designed. Manage user access and maintain security compliance as designed to meet Client policy. Assist in Developing new capabilities and provide user support. Monitor and maintain tools, pipelines, and compliance to ensure they meet SLA. Deliver modern methods of data ingestion and design standards for all pipeline creation. Ensure backup & recovery, performance monitoring, upgrade management, and cost management. Technical Expertise: Aware of Azure Cloud Computing, including configuration, administration, and performance monitoring. Experience with Dataiku and Power BI for data manipulation, security, and reporting. Knowledge of Linux server management and Unix shell scripting. Trained in data modeling, streaming, and real-time data processing. Understanding of Kubernetes, Docker, Hadoop ecosystem, and Kafka. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field Strong analysis, problem solving, and attention to detail. Proficiency in SQL and other data manipulation languages. Ability to work collaboratively in a team environment and communicate effectively.

Data Pipeline Development: Design, develop, and optimize ETL workflows within Dataiku to ingest, clean, and transform data from various sources for analysis and model building. Predictive Modelling: Build, validate, and deploy machine learning models using Dataiku DSS. Leverage machine learning algorithms to perform predictive and prescriptive analytics that drive business insights. Collaboration with Cross functional Teams: Work closely with Business Analysts, Product Managers, and Stakeholders to understand business requirements and translate them into scalable data solutions within Dataiku. Automation & Optimization: Develop automated workflows, alerts, and data quality checks in Dataiku to maintain high data integrity and operational efficiency. Data Visualization & Reporting: Create dashboards and reports within Dataiku or through integration with visualization tools (e.g., Tableau, Power BI) to enable data driven decision making. Testing & Model Validation: Perform A/B testing, cross validation, and other validation methods to ensure model accuracy and robustness. Document models and ensure they meet reproducibility standards. Model Deployment & Monitoring: Deploy models into production and set up monitoring frameworks to track model performance over time, ensuring that they meet business and technical standards. User Training and Enablement: Provide training and support to end users and data analysts on Dataiku functionalities, enabling self service analytics across the organization. Dataiku DSS Maintenance: Maintain and troubleshoot the Dataiku DSS platform to ensure high availability and performance. REST API: Implement REST APIs for data integration and automation.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Dataiku Data Science Studio (DSS) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Graduate Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Dataiku Data Science Studio (DSS). Your typical day will involve working with DSS, collaborating with cross-functional teams, and ensuring the smooth functioning of applications. Roles & Responsibilities: Design, build, and configure applications using Dataiku Data Science Studio (DSS) to meet business process and application requirements. Collaborate with cross-functional teams to ensure the smooth functioning of applications. Troubleshoot and debug applications to optimize performance and ensure seamless integration with other systems. Develop and maintain technical documentation, including user manuals, system specifications, and other technical reports. Professional & Technical Skills: Must To Have Skills:Proficiency in Dataiku Data Science Studio (DSS). Good To Have Skills:No Technology Specialization. Strong understanding of application development and deployment processes. Experience with troubleshooting and debugging applications. Experience in developing and maintaining technical documentation. Additional Information: The candidate should have a minimum of 7.5 years of experience in Dataiku Data Science Studio (DSS). The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office.

WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.What you would do in this role Gathering business requirements to create high level business solution framework aligning with business objectives and goals. Monitor project progress able to plan project plan, proactively identify risks, and develop mitigation strategies. Work closely with project leads, engineers, and business analysts to develop AI solutions. Develop & test AI algorithms and techniques tailored to solve specific business problems. Present and communicate solutions and project updates to internal & external stakeholders. Foster positive client relationships by ensuring alignment between project deliverables and client expectations. Adopt a clear and systematic approach to complex issues. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Qualifications Mentor and guide a team of AI professionals, cultivating a culture of innovation, collaboration, and excellence. Conduct comprehensive market research and stay updated on the latest advancements and trends in AI technologies. Foster the professional development of team members through continuous learning opportunities.

Looking for Immediate joiners for Contract to Hire(C2H) Position Greetings from Objectwin Technology India Pvt Ltd !!! This mail is regarding a Job Opportunity with our client. Permanent Position: (Payroll: Objectwin technology https://www.objectwin.com/) ObjectWin,Workforce Solutions,IT Solutions,Staffing,Staffing Industry,Texas ObjectWin provides global workforce solutions,ObjectWin,Workforce Solutions,IT Solutions,Staffing and Staffing Industry to meet current and future business demands of our customers. www.objectwin.com Note: Please find the JD, As per your Acknowledgement we can take forward your candidature for further process. Kindly Share the Updated Resume with all the education and employment duration and details should be mentioned in the resume .Once Tehncial interview happens no CV should be reuploaded it is compliance violation kindly share only the updated Resumes & fill the below mentioned mandate details. Profile validation & Candidate confirmation: Name Mobile Alt Mobile E Mail Alt Email Skill Current Designation Total Exp Rel Exp Current company Payroll Pre Company Payroll Current CTC EXP CTC Offers in Hand ( Yes/ No) Offer CTC Interviews in line Final Interviews Official Notice Neg Notice JD: Dataiku Primary Skill : Dataiku Secondary Skill: Alteryx workflow Activity: Team members who can transform business workflow of Alteryx to Dataiku in time sensitive manner Job Location: Bengaluru/Pune/Hyderabad Shift timing if any: Couple of hours overlapping is required during evening hours as client is based at onsite Total Experience Required:6 to 8 years Relevant Experience required:3 years Mandatory Skills: Dataiku Good to have skills: Alteryx workflow