178 Dataiku Jobs - Page 5

MLOps Engineer L3 As an MLOps Engineer, your day-to-day responsibilities will involve designing and managing machine learning operations pipelines using MLflow, Databricks ML Ops, and CI/CD pipelines. You will collaborate with data scientists to integrate machine learning models into production environments and automate model deployment and monitoring using Dataiku and other tools. Ensuring the scalability and reliability of machine learning workflows is crucial, and you will utilize Azure OpenAI and Argo CD for advanced automation and orchestration. Maintaining and optimizing cloud infrastructure for machine learning applications will be part of your daily tasks, along with monitoring the performance of machine learning models and workflows. Troubleshooting issues related to machine learning pipelines and infrastructure will be a regular part of your role, and you will maintain comprehensive documentation of processes, configurations, and best practices. Must-Have Skills: MLOps Tools: MLflow, Databricks ML Ops pipelines, CI/CD pipelines, Dataiku. Programming: Python, YAML scripting for pipeline automation. Terraform (highly recommended). Azure OpenAI. Argo CD (beginner). Azure Cloud proficiency: Azure Resource Management, AKS, ACS, Azure Functions, Azure Security. Azure Resources: Azure App services, Data Factory, and Azure Data Bricks (highly recommended). Networking: Network Security Groups, Virtual networks, Route Tables (highly recommended). Monitoring: Azure Monitor, Application Insights. Security: Azure Key Vault, RBAC, and secure CI/CD practices, IAM. Pluses: Azure ADO CI/CD pipelines. GitHub Actions. ARM Templates. API skills. This position pays between 30LPA - 35 LPA Depending on years of experience Show more Show less

Build the future of the AI Data Cloud. Join the Snowflake team. We are looking for people who have a strong background in data science and cloud architecture to join our AI/ML Workload Services team to create exciting new offerings and capabilities for our customers! This team within the Professional Services group will be working with customers using Snowflake to expand their use of the Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be highly technical and hands-on, where you will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators. AS A SOLUTIONS ARCHITECT - AI/ML AT SNOWFLAKE, YOU WILL: Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements Work hands-on where needed using SQL, Python, Java and/or Scala to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the Data Science workload Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments Provide guidance on how to resolve customer-specific technical challenges Support other members of the Professional Services team develop their expertise Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE: Minimum 10 years experience working with customers in a pre-sales or post-sales technical role Skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management. Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models Experience and understanding of at least one public cloud platform (AWS, Azure or GCP) Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala. Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar University degree in computer science, engineering, mathematics or related fields, or equivalent experience BONUS POINTS FOR HAVING: Experience with Databricks/Apache Spark Experience implementing data pipelines using ETL tools Experience working in a Data Science role Proven success at enterprise software Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc 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: careers.snowflake.com Show more Show less

Company Description Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. To learn more visit: www.syngenta.com Job Description Role purpose Co-Lead operations of the predictive modelling platform and act as key bridge between R&D IT and R&D Set strategic direction for the modelling platform and guide further technical development Design and develop models to generate new content using machine learning models in a secure, well-tested, and performant way Confidently ship features and improvements with minimal guidance and support from other team members Establish and promote community standards for data-driven modelling, machine learning and model life cycle management Define and improve internal standards for style, maintainability, and best practices for a high-scale machine learning environment. Maintain and advocate for these standards through code review. Support diverse technical modelling communities with governance needs Engage and inspire scientific community as well as R&D IT and promote best practices in modeling Accountabilities Acts as R&D IT co-lead and subject matter expert for the modelling platform, providing strategic direction as well as overseeing technical and scientific governance aspects Works closely with R&D to ensure platform remains fit for purpose for changing scientific needs Engages with modelling communities across R&D to understand applications, recognize opportunities and novel use cases and prioritizes efforts within the platform for maximum impact Develops Python code, scripts and other tooling within the modelling platform to streamline operations and prototype new functionality Provides hands-on support to expert modellers by defining best practices on coding conventions, standards etc. for model deployment and quality control Explores, prototypes and tests new technologies for model building, validation and deployment, e.g. machine learning frameworks, statistical methods, and how they could be integrated into the platform to boost innovation Monitors new developments in the field and maintains awareness of modelling approaches taken by other companies, vendors, and academia. Works with external collaborators in academia and industry to understand and integrate their complementary capabilities Qualifications Critical knowledge, Experience & Capabilities Background in predictive modelling in the physical or life sciences at a postgraduate level Prior wet-lab experience (e.g. biology, chemistry, toxicology, environmental science) is a plus Experience working in an academic or industrial R&D setting Strong Python skills and familiarity with standard data science tooling for data-driven modelling / machine learning Understanding of the model lifecycle and tools to manage it, as well as technical aspects such as deployment, containerization/virtualization, and handling metadata. Experience with DataIKU/DSS and AWS Bedrock is a plus, but not essential Strong analytical thinking and problem-solving skills, adaptability to different business challenges and openness to new solutions and different ways of working Curiosity and ability to acquire domain knowledge in adjacent scientific areas to effectively work across internal teams and quickly get up to speed with different modelling approaches Understanding of mathematical/mechanistic modelling is a plus Solid understanding of Web APIs and how they can be used to operationalize models Adaptable to different business challenges and data types / sources Able to learn and utilize a range of different analytical tools and methodologies – not fixed in a particular methodology Strong collaborative, networking and relationship building skills Uses visualization and storytelling with data to communicate results to parties with varying levels of technical proficiency Enjoys working a highly diverse working environment comprising multiple scientific disciplines, nationalities, and cultural backgrounds Able to manage own time and deals effectively with conflicting workloads, in agreement with key customers. Additional Information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Follow us on: Twitter & LinkedIn https://twitter.com/SyngentaAPAC https://www.linkedin.com/company/syngenta/ India page https://www.linkedin.com/company/70489427/admin/ Show more Show less

Summary Manager to join their International Business Analytics team. The individual will be expected to generate comprehensive analytical reports, dashboards, and requests with a focus on Commercial Analytics (Brand & Market Performance, Customer Engagement, etc.). With regular collaboration with different teams within the organization, the role also mandates implementation of data-driven solutions effectively. The individual should take lead in creating seamless and engaging user experiences and ensuring the design resonates with target audience and aligns with business objectives. This role integrates internal and external data with data science expertise to optimize data transformation, ensuring the delivery of clear, user-friendly, and insightful data presentations. About The Role Key Responsibilities Comprehensive insights generation: Develop and present in-depth reports, situational analysis, portfolio analytics, and market assessments. Perform ad-hoc analyses and presentations alongside creating complex dashboards using Power BI, tailored to stakeholder requirements and ensuring timely, accurate, and high-quality work. Structured project management: Adopt a structured project management approach, emphasizing thorough documentation and communication throughout the service delivery process. Maintain a keen understanding of the external environment as well as key stakeholder needs. Excellent stakeholder communication: Regularly update all stakeholders, including global customers, regarding accomplishments, KPIs, best practices, and significant events. Assisting the program leads in creating analytical products that can help Novartis business in taking strategic data driven decision Robust knowledge management: Maintain repositories encompassing both qualitative and quantitative insights on brands, disease areas, and macroeconomic trends in Novartis' operational markets. Recruitment and onboarding support: Assist in the recruitment process and seamless onboarding of new team members. Foster knowledge sharing and quality improvement: Participate in knowledge-sharing sessions to foster growth and enhance the quality of deliverables within BSI team. Compliance and process adherence: Ensure adherence to all internal procedures, including time tracking, KPI tracking and Novartis' operational procedures. Pioneering innovation in pipeline data flow management, data visualization, and design by leveraging cutting-edge tools and technologies. Apply design thinking principles to craft engaging and intuitive user experiences. Encourage capability enhancement, including adopting new techniques, data sources, automation, and AI, to bolster process efficiency and enhance the value of insights. Minimum Requirements 7+ years of data analytics experience primarily focus on Data Engineering and Data Visualization. Experience in the Pharma industry will be preferred. Proficiency in Alteryx, DataIKU, R, Python, Snowflake, SQL, AI/ML. Advanced expertise in Power BI Proficient in using MS Office, specifically Excel and PPT. Skilled in data architecture, involving structuring and managing data in a user-friendly manner Excellent written and verbal communication skills with a people-centric approach. Understanding of IQVIA MIDAS, Evaluate Pharma, Capital IQ, etc will be preferred Strong analytic skills with the ability to interpret data and insights to drive decision-making. Business acumen and solution-oriented mindset, includes P&L management. Experience in working across different regions and with commercial, primary market research teams, and the ability to work with a cross-functional team in a matrix environment. Dynamic, results-driven, accountable, and the ability to lead and inspire a team. Project management skills: scoping, defining deliverables, developing business cases and senior-level reporting, effective and persuasive presentation style. Desired Requirements Preference for knowledge of disease areas within the Pharma sector, strong leadership and communication skills. Should have exposure to cross-functional/ cultural work environment Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Description Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and prosper. Workplace Platforms is a division within the Morgan Stanley Wealth Management Platforms, comprised of the digital platforms supporting Morgan Stanley at Work business, including Equity Compensation, Retirement Plan Solutions, and Deferred Compensation. Workplace Platforms team drives and defines the digital and online experience for wealth management and corporate clients. The overall mission of the division is to create a best-in-class experience for both corporate clients and their employees as we engage them throughout their financial life journey, ultimately leading to a deepening of their Morgan Stanley Wealth Management relationship. Our approach will be highly scalable, leveraging an omni-channel strategy with an emphasis on messaging, onboarding, cross-selling, activation and servicing. Our goal will be to drive growth across all client segment, including mass affluent, with new digital capabilities. Position Summary As a Product Manager, you will work on exciting technology initiatives to build best-in-class digital platforms for our Home Office users and Financial Advisors to help them better service our clients. This is a highly collaborative role, where you will work closely with our team of digital product owners and collaborate across multiple functions such as designers, engineers, operations, legal, risk, compliance, and business partners. You will help define and drive the digital product strategy and develop, launch, and enhance the platform to meet the unique needs of our users. The ideal candidate should have experience creating product roadmaps, defining clear product requirements, and leading cross-functional agile teams through the delivery process. Experience with the financial services/wealth management, WCAG, analytics, client-centric design thinking, API architecture, and agile development methodology is strongly preferred Responsibilities > Create project documentation (presentations, communication plans, requirements documents) to share formal updates with business and technology leaders > Lead requirement grooming/planning sessions to ensure that development schedules, design criteria, costs, and technical specifications meet the defined business need > Conduct hands-on functional testing and validation of business requirements in conjunction with Quality Assurance teams > Gather, organize, and assimilate internal and external feedback to identify and prioritize product gaps, enhancements, and new features and develop a product roadmap aligned to key business deliverables > Own backlog development and delivery, collaborating with partners in other Business Units, Marketing, User Experience, Client Services, Technology, and Quality Assurance teams to bring solutions to life QUALIFICATIONS > Bachelor's degree > 3-5 years related industry experience > Self-starter with strong and creative problem-solving skills > Superior analytical, interpersonal, communication (written, verbal, and technical), presentation, negotiation, and problem-solving skills > Flexible, team player with the ability to think creatively and strategically > Deadline oriented and works well under pressure > Experience with project execution (conceptualization, requirements, design, development, testing, and implementation) > Experience with Agile development methodologies preferred You Might Also Have > Financial services experience and/or working with Financial Advisors > Experience with Dataiku, Tableau, and/or other statistical software 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. Show more Show less

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team We are seeking candidates to tackle challenging problems across ExxonMobil’s global supply chain operations including sales and operations planning (S&OP), logistics and Materials management. The ideal candidate will understand both the commercial and technical aspects of supply chain challenges in the Oil & Gas or Energy products (including Chemicals, Fuels) industry, advancing the development of solutions leveraging advanced modeling, ML or AI. Job location is based out of Bangalore, Karnataka What you will do Support all stages of development for advanced analytics (AI, ML based decision support) solutions including Exploratory data analysis Develop optimized queries using SQL,Alteryx, python to pull large complex datasets from ERP (e.g., SAP, ORACLE) or other SC business applications (Kinaxis, Blue Yonder) for analysis Leverage analytical tools (PowerBI, Tableau, R, python or Dataiku) to identify patterns and generate data driven insights or product ideas that can lead to accelerated business decisions supporting global Supply chain capability team Development and deployment Collaborate with Digital Product Managers and technology development teams (including data engineers, data scientists) to develop, test and build scalable products leveraging AI and advanced analytical models. Work closely with business users (e.g. demand planners, material management) to gather feedback and ensure the analytical models and solutions are tailored for their operational needs Change Management & Adoption Develop and execute rollout plans for digital applications, including training and onboarding for key end users. Develop and track KPIs to monitor performance of predictive (e.g. forecasting models) or prescriptive (simulation, AI based decision tools) models and collaborate with data science teams to ensure models are regularly calibrated and validated. About You Skills and Qualifications Bachelor’s or Master’s degree in operations research or any engineering/science/supply chain discipline from a recognized university with GPA 7.0 Minimum 3 years of experience in a business/data analyst or related role primarily supporting global supply chain operations with familiarity of Supply chain concepts like demand planning, inventory optimization, S&OP, logistics, network design. At least 1 year of experience with analytical tools/advanced modeling such as python or R where you have transformed complex sets of data to generate business insights through data analysis, pattern identification or statistical modeling. Familiar with software product development frameworks like agile. At least 1 year of hands-on experience in developing visualization or analysis using analytics tool like power BI, or quicksight or tableau. At least 1 year of experience working in a supply chain function – planning, logistics, material management. Proven track record of developing and implementing data-driven analyses to improve operational efficiency. Strong understanding and hands-on experience with analytics and data visualization tools (e.g., Tableau, Power BI, plotly). Proficiency in programming languages such as SQL, Python or R to do data wrangling and modeling. Preferred knowledge Exposure to forecasting models, optimization or any supply chain design tools (e.g. Llamasoft) Exposure to machine learning, AI (NLP, LLMs) solutions used in Supply chain industry for predictive and prescriptive analytics. Experience contributing to the development of commercial-grade software applications for supply chain use cases Familiar with software testing and development practices (Agile) Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self-confidence Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication skills, both written and verbal. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India. Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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, analytics and AI? Then join Pfizer Digital’s Artificial Intelligence, Data, and Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of engineering, data science, analytics and AI professionals are at the forefront of Pfizer’s transformation into a digitally driven organization leveraging data science and advanced analytics to change patients’ lives. The Commercial Domain Delivery team support the Pfizer Commercial Organization as the AIDA experts in data & AI strategy, product design, development, & delivery As an Senior Manager, Data Science and AI Products , your role is to act as a trusted advisor for the US & International commercial stakeholders and identify scalable data science and AI/ML products to solve key business questions You will be responsible for managing the development and deployment of data science and AI/ML products at scale and be the digital owner of the end-to-end product roadmap. You are expected to work closely with the Digital creation centers, AIDA AI/ML COEs, Data Science Industrialization & Data engineering teams and Global commercial Analytics to bring the power of AI, Data and analytics to support key strategic priorities for the commercial organization As the single point of contact for you will act as domain expert for commercial stakeholders and are expected to act as an orchestrator to drive success in delivery and adoption of these products Role Responsibilities Product manager for all data science and AI/ML products for Commercial Process owners for scaling, enhancement and industrialization of data science and AI/ML products Lead product roadmap creation, development & deployment for key strategic data science and AI/ML products Provide digital interface and support for enterprise transformation initiatives supported by data science and AI/ML Partner with CMO-Commercial analytics and act as key interface with Digital/AIDA creation centers & CoEs Orchestrate delivery for key AIDA priorities through partnership with Global Commercial Analytics including the Analytics Gateway. Basic Qualifications Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline) 7+ years of work experience in healthcare/life sciences consulting, analytics or product management in a diverse range of projects 2+ years’ experience in application of AI/ML in pharma/healthcare commercial organizations Experience of working in complex cross-functional environment with senior stakeholders in the pharma commercial domain with very strong communication and ability to influence without authority Experience of working in an ambiguous environment and strong problem-solving ability using quantitative approaches Strong English communication skills (written & verbal) Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline Hand-on experience in at least one analytics engineering /data science language/platforms/technology (SQL, Python, R, SAS, Alteryx, Dataiku) Hand-on experience in developing AI/ML products for pharma commercial applications Product management background in healthcare analytics/technology Understanding of pharma commercial data landscape Non-standard Work Schedule, Travel Or Environment Requirements 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 Show more Show less

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, analytics and AI? Then join Pfizer Digital’s Artificial Intelligence, Data, and Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of engineering, data science, analytics and AI professionals are at the forefront of Pfizer’s transformation into a digitally driven organization leveraging data science and advanced analytics to change patients’ lives. The Commercial Domain Delivery team support the Pfizer Commercial Organization as the AIDA experts in data & AI strategy, product design, development, & delivery As an Senior Manager, Data Science and AI Products , your role is to act as a trusted advisor for the US & International commercial stakeholders and identify scalable data science and AI/ML products to solve key business questions You will be responsible for managing the development and deployment of data science and AI/ML products at scale and be the digital owner of the end-to-end product roadmap. You are expected to work closely with the Digital creation centers, AIDA AI/ML COEs, Data Science Industrialization & Data engineering teams and Global commercial Analytics to bring the power of AI, Data and analytics to support key strategic priorities for the commercial organization As the single point of contact for you will act as domain expert for commercial stakeholders and are expected to act as an orchestrator to drive success in delivery and adoption of these products Role Responsibilities Product manager for all data science and AI/ML products for Commercial Process owners for scaling, enhancement and industrialization of data science and AI/ML products Lead product roadmap creation, development & deployment for key strategic data science and AI/ML products Provide digital interface and support for enterprise transformation initiatives supported by data science and AI/ML Partner with CMO-Commercial analytics and act as key interface with Digital/AIDA creation centers & CoEs Orchestrate delivery for key AIDA priorities through partnership with Global Commercial Analytics including the Analytics Gateway. Basic Qualifications Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline) 7+ years of work experience in healthcare/life sciences consulting, analytics or product management in a diverse range of projects 2+ years’ experience in application of AI/ML in pharma/healthcare commercial organizations Experience of working in complex cross-functional environment with senior stakeholders in the pharma commercial domain with very strong communication and ability to influence without authority Experience of working in an ambiguous environment and strong problem-solving ability using quantitative approaches Strong English communication skills (written & verbal) Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline Hand-on experience in at least one analytics engineering /data science language/platforms/technology (SQL, Python, R, SAS, Alteryx, Dataiku) Hand-on experience in developing AI/ML products for pharma commercial applications Product management background in healthcare analytics/technology Understanding of pharma commercial data landscape Non-standard Work Schedule, Travel Or Environment Requirements 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 Show more Show less

Job Summary: As part of our AI/ML , you will work closely with data scientists, engineers, and business stakeholders to design, develop, and deploy machine learning models and AI-powered solutions. You will use Dataiku to build robust, scalable, and automated data science workflows that drive business value. Your expertise in AI/ML techniques combined with your experience using Dataiku will be key to transforming data into actionable insights. Key Responsibilities: AI/ML Model Development & Deployment: Design, develop, and deploy machine learning models and AI solutions using Dataiku . Build end-to-end machine learning pipelines that automate data preparation, feature engineering, training, validation, and deployment of models. Leverage Dataikus AutoML capabilities to streamline model building while ensuring model performance. Work with stakeholders to identify and prioritize AI use cases that align with business objectives. Collaboration & Knowledge Sharing: Collaborate with cross-functional teams (data engineers, business analysts, product owners) to integrate machine learning solutions into business workflows. Share insights and knowledge on best practices in data science, machine learning, and the use of Dataiku . Create and maintain detailed documentation for models, pipelines, and workflows within Dataiku . Data Management & Feature Engineering: Work with large datasets, performing feature engineering and transformation to prepare data for machine learning tasks. Utilize Dataiku’s data wrangling capabilities to clean, transform, and organize data for efficient processing. Build reusable data processing workflows within Dataiku to automate recurring tasks and streamline model development. Model Monitoring & Optimization: Continuously monitor and fine-tune deployed models to ensure they deliver high-quality predictions and insights. Implement strategies for model versioning, testing, and monitoring performance over time. Ensure that models adhere to business requirements and ethical AI practices. Innovation & Research: Keep up with the latest trends and advancements in AI/ML techniques and tools. Explore new AI/ML algorithms and methodologies to improve model performance. Contribute to the ongoing evolution of Dataiku workflows to incorporate cutting-edge practices in AI/ML. Required Skills & Qualifications: Experience: 3+ years of experience in machine learning and data science, with a strong focus on deploying models at scale. Hands-on experience working with Dataiku for building, deploying, and automating ML workflows. Proven track record of end-to-end project delivery in AI/ML, including problem definition, model building, validation, and deployment. Technical Skills: Proficiency in Python , R , or similar programming languages used for AI/ML. Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques. Experience with Dataiku and its features such as AutoML, visual recipes, and integration with various machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Familiarity with cloud environments (AWS, GCP, or Azure) for scalable model deployment. Knowledge of data preprocessing, feature engineering, and optimization techniques. Familiarity with model monitoring, model lifecycle management, and version control in data science projects.

What You'll Do: You will work directly as part of AA CoE and be a part of analytics focused projects across statistics, optimization & simulations, machine learning and Big Data. Your role will involve design and implementation of advanced statistical analysis and machine learning algorithms to derive business insights and solve complex business problems. This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations. You may also be responsible for presenting results to management and implementing recommendations with team members. Youll have the opportunity to gain new skills and build on the strengths you bring to the company. Main task: • Design and implement machine-learning models to support the businesss numerous initiatives and programs with a view of achieving overall objectives and targets • Successful documentation of reusable code • Achieve personal technical development and learning goals • Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc. Participate in and help plan cultural initiatives for CoE Qualifications • University degree in Computer Science, Engineering, Applied Mathematics or related fields and excellent academic record required; Master’s degree in above mentioned subjects preferred • 2-3 years of technical experience in handling large datasets and applying advanced statistical and machine learning algorithms • Hand-on experience in methodologies such as: Supervised and Unsupervised Learning, Feature Engineering, Bayesian Statistics, Frequentist Statistics, Optimization, Time Series, Graph/Network Theory, Reinforcement Learning, Deep Learning, Computer Vision, NLP, Interpretable AI, etc. • Proficiency with at least one of the following languages: R, Python, SAS and experience of working with SQL/NoSQL databases • Experience of working on platforms such as GCP, Dataiku, AWS, Azure, etc. • Stakeholder management skills with ability to communicate and work with senior management effectively • Skills to communicate complex ideas effectively Interested candidates can send their resume on a mail - Resumesktk@muthootgroup.com

Job Summary Alteryx Professional Exp - 8 -15 Yrs Location - Pan India Location Minimum 8 to 10 years of experience working as an IT Application Support or Systems Analyst in a large enterprise. Proficient in designing and implementing Alteryx workflows, data blending, data preparation and analytics. Experience in other software such as KNIME, Dataiku, Power BI, Tableau, Qlik Sense is a plus. Experience on cloud technologies: Azure, Google Cloud, Databricks; Windows File server management, Networking, MSSQL, MongoDB, Python, R Experience on DevOps/Terraform, GitHub Knowledge on BAU operations, incident management, service request management and change request management processes. Ability to support complex critical application systems in a production environment. Strong technical and troubleshooting skills with attention to detail. Ability to work independently. Show more Show less

Job Summary As a Data Engineer at Synechron, you will play a pivotal role in harnessing data to drive business value. Your expertise will be essential in developing and maintaining data pipelines, ensuring data integrity, and facilitating analytics that inform strategic decisions. This role contributes significantly to our business objectives by optimizing data processing and enabling insightful reporting across the organization. Software Requirements Required: AWS Redshift (3+ years of experience) Spark (3+ years of experience) Python (3+ years of experience) Complex SQL (3+ years of experience) Shell scripting (2+ years of experience) Docker (2+ years of experience) Kubernetes (2+ years of experience) Bitbucket (2+ years of experience) Preferred: DBT Dataiku Kubernetes cluster management Overall Responsibilities Develop and optimize data pipelines using big data technologies, ensuring seamless data flow and accessibility. Collaborate with cross-functional teams to translate business requirements into technical solutions. Ensure high data quality and integrity in analytics and reporting processes. Implement data architecture and modeling best practices to support strategic objectives. Troubleshoot and resolve data-related issues, maintaining a service-first mentality to enhance customer satisfaction. Technical Skills (By Category) Programming Languages: EssentialPython, SQL PreferredShell scripting Databases/Data Management: EssentialAWS Redshift, Hive, Presto PreferredDBT Cloud Technologies: EssentialAWS PreferredKubernetes, Docker Frameworks and Libraries: EssentialSpark PreferredDataiku Development Tools and Methodologies: EssentialBitbucket, Airflow or Argo Workflows Experience Requirements 6-7 years of experience in data engineering or related roles. Strong understanding of data & analytics concepts, with proven experience in big data technologies. Experience in the financial services industry preferred but not required. Alternative pathwaysSignificant project experience in data architecture and analytics. Day-to-Day Activities Design and implement scalable data pipelines. Participate in regular team meetings to align on project goals and deliverables. Collaborate with stakeholders to refine data processes and analytics. Make informed decisions on data management strategies and technologies. Qualifications Bachelors degree in Computer Science, Data Engineering, or a related field (or equivalent experience). Certifications in AWS or relevant data engineering technologies preferred. Commitment to continuous professional development in data engineering and analytics. Professional Competencies Strong critical thinking and problem-solving capabilities, with a focus on innovation. Effective communication skills and stakeholder management. Ability to work collaboratively in a team-oriented environment. Adaptability and a willingness to learn new technologies and methodologies. Excellent time and priority management to meet deadlines and project goals.

Job Description Analytics Engineer We are seeking a talented, motivated and self-driven professional to join the HH Digital, Data & Analytics (HHDDA) organization and play an active role in Human Health transformation journey to become the premier “Data First” commercial biopharma organization. As a Analytics Engineer, you will be part of the HHDDA Commercial Data Solutions team, providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment and delivery. Your specific responsibilities will include Hands-on development of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field Required Experience 5+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets) High proficiency in SQL, Python and AWS Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Experience in analytics use cases of pharmaceutical products and vaccines Experience in market analytics and related use cases Preferred Experience Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines Experience with Agile ways of working, leading or working as part of scrum teams Certifications in AWS and/or modern data technologies Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders Experience with data visualization technologies (e.g, PowerBI) 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 Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/10/2025 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 R335389 Show more Show less

Job Title: Senior DataIKU Developer Job Description: We are seeking a highly skilled and experienced Senior DataIKU Developer to join our dynamic team. The ideal candidate will have a strong background in developing, configuring, and optimizing solutions using DataIKUs architecture. This role requires hands-on experience with Dataiku recipes, Designer nodes, API nodes, and Automation nodes, along with expertise in Python scripting and automation. Key Responsibilities: Develop and Optimize Solutions: Utilize DataIKUs architecture to develop, configure, and optimize solutions, including data connections. Hands-on Development: Work with WebAPP, API Designer, Dataiku recipes, Designer nodes, API nodes, and Automation nodes for deployment. Python Scripting: Develop custom workflows, FAST APIs and automate processes using Python. Integration: Integrate WebApp solutions in the DataIKU platform with internal or external LLM, Relational DB, OpenSearch Vector DB, Cloud Storage, etc. Requirement Analysis: Gather, analyze, and interpret requirement specifications from clients. Collaboration: Work independently and effectively in a fast-paced, dynamic environment. Collaborate with data analysts, business stakeholders, and clients to gather and understand requirements. CI/CD Contribution: Contribute to the CI/CD process for deployment. Deployment: Participate in the CR/Production deployment implementation process. Best Practices: Ensure DataIKU best practices are followed. Quality and Timeliness: Ensure on-time delivery and maintain high quality. Required Qualifications: Minimum 7+ years of experience in relevant fields. At least 2+ years of experience in delivering projects on DataIKU platforms. Proficiency in developing, configuring, and optimizing solutions using DataIKUs architecture. Hands-on experience with Dataiku recipes, Designer nodes, API nodes, and Automation nodes. Expertise in Python scripting and automation. Experience in integrating webapp solutions in DataIKU with various databases and cloud storage. Strong analytical and problem-solving skills. Ability to work independently and effectively in a fast-paced, dynamic environment. Preferred Qualifications: Experience with CI/CD processes. Strong communication and collaboration skills.

Key Responsibilities: Install, configure, and maintain Dataiku instances to ensure reliable and efficient platform operation. Manage user accounts, groups, roles, and permissions to support secure and structured access control. Continuously monitor system performance and identify opportunities for optimization and improvement. Troubleshoot and resolve technical issues related to the Dataiku platform in a timely manner. Apply patches and perform version upgrades to maintain platform stability, security, and functionality. Create, configure, and manage code environments to support various data science and analytics workflows. Maintain and manage instance variables to ensure consistent environment behavior across projects. Implement and oversee Dataiku Govern features to ensure high standards of data quality, lineage tracking, and security. Enforce data governance policies and regulatory compliance within the platform’s operations and access controls. Design and develop custom plugins using Python or R to extend and tailor Dataiku functionality to organizational needs. Collaborate with solution teams, R&D, and product stakeholders to drive platform enhancements and support evolving business requirements. Role description : Ensure the smooth operation and maintenance of the Dataiku platform, focusing on its stability, security, and optimal performance to support data science initiatives. Responsibilities include user management, system configuration, troubleshooting, and, where necessary, the development of custom plugins or integrations. Manage the deployment lifecycle of the platform, ensuring seamless updates and releases with minimal disruption to users. Implement and maintain monitoring and logging solutions to track platform performance and health. Ensure all generated logs are integrated with firm-approved systems and secured based on their confidentiality levels. Oversee the integration of platform components and systems, facilitating secure data exchange between core applications and third-party data providers or consumers.

As a Data Engineer, you’ll play a crucial role in managing the entire lifecycle of data pipelines and integrating data visualization solutions. Data Pipeline Creation: Collaborate with Product Owners and business representatives to define new data pipelines technically. Evaluate the complexity associated with each ambition and the required skills. Work closely with subject matter experts to determine the necessary scope of data for fueling the pipelines. Design and co-build the architecture for ingesting data, considering data cleansing and preparation based on its origin. Implement the data transformation layer, leveraging analytics or AI features. Establish connections with external services to expose output data. Data Visualization: Utilize Power BI capabilities to share various datasets with internal teams and external customers. Develop dashboards for automating the monitoring of AI features and adoption. Create customer reports that showcase data transformation results, following guidance from our business representatives and Connected Services Hubs remote support agents. Actively contribute to integrating Power BI into the program for creating a new reporting experience. Collaborate with UX designers to structure reporting concepts (events, evidence, recommendations). Identify all detailed data models. Build a semantic database to anticipate future needs, including Generative AI Co-Pilot integration. Deploy and maintain report templates. DevOps / MLOps role: Masters model deployment and upgrade in the appropriate environment (Databricks, Dataiku, others…) Knowledgeable around the correct implementation of those environment in Azure (or similar environment like AWS or GCP) Act as a single point of contact for the analytics team with external technical DevOps organization (Advisor Engineering, AI Hub) Qualifications Experience 10-12+ years Python Programming (5/5): Strong programming skills are essential for data manipulation, transformation, and pipeline development. ETL Extract Transfer Load (5/5): Significative experience is required Data Preparation and Modeling (5/5): Understanding various kind of data structures will be valuable in the role. Sql / Non Sql DB Management (4.5/5): Proficiency in Database Management systems MLOps (4/5): Understanding ML concepts for integrating ML models into pipelines. DevOps (Azure) (4/5): Familiarity with Azure cloud services for scalable data storage and processing. Databricks (3/5): Proficiency with Databricks environment will be valuable Dataiku (1.5/5) : an experience with Dataiku platform could be a plus Power BI usage (5/5): Ability to create insightful visualizations in Power BI is mandatory Primary Location : IN-Karnataka-Bangalore Schedule : Full-time Unposting Date : Ongoing

We're Hiring! Informatica Administrator | Pune | On-Site | 4-8 Years Experience | 19 LPA Budget Exciting opportunity for experienced Informatica Administrators to join a dynamic team in Pune on client payroll. Job Type: Full-Time (On-Site) Experience: 4 to 8 years Budget: Up to 19 LPA Key Skills: Informatica (IICS, PowerCenter), LDAP/SAML/SSO, SQL, Oracle, Azure, GCP, AWS, Kubernetes, Terraform, Ansible, Python, Spark, Rundeck, DataIKU, CI/CD, REST/SOAP, VPN, SSL, IAM, BigQuery, CosmosDB, Monitoring & more. Role Highlights: Informatica IDMC/IICS setup, tuning & upgrades Cloud (Azure/GCP) & hybrid environment management DataIKU & Rundeck administration Backup & DR strategy implementation Security, compliance & automation (Terraform, GitHub, Python) If you or someone in your network fits this profile and is looking for their next challenge, feel free to DM me or share your CV at trishla.upadhyay@vibesources.com Let’s connect and build something impactful together! #Hiring #InformaticaAdministrator #CloudJobs #PuneJobs #DataEngineering #Azure #GCP #ETL #IICS #PowerCenter #DevOps #Kubernetes #DataIKU #JobAlert #OnSiteRoles Show more Show less

Summary This role will conceptualize and contribute to development of analytical solutions/products based on either Launch effectiveness, Performance tracking, Patient analytics, Commercial or Market Access analytics and understanding of US Pharma Market dynamics, National, Sub- National and APLD Datasets, Access and other healthcare related databases. About The Role Key Responsibility Build analytics to support the strategic priorities of the brand Provide analytics support to Novartis internal customers on various high complexity analytical reports. Facilitate data enabled decision making for Novartis internal customers by providing and presenting qualitative & quantitative analytics. Strong analytical and problem-solving skills to extract insights from complex data sets and identify patterns and trends. Deliver services through structured project management approach with appropriate documentation and communication throughout the project delivery cycle. Build and maintain standard operating procedures (SOPs), QC checklists that will enable timely, detailed and error-free outputs for all projects. Develop and maintain knowledge repositories that gather qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc., Essential Requirements Masters/ bachelor’s in technology/ life-sciences/ management Experience of 5+ years in Analytical solution development, Patient Analytics, Sales and Patient claims datasets Proficiency in SQL, DataIKU, Python and US pharma datasets. Knowledge of Statistical modeling or ML is a plus. Should understand US pharmaceutical business including its regulatory environment. Strong analytical thinking, verbal and written communication skills and exposure to working in cross-cultural environment. Should be customer service oriented, proactive, results oriented and should have a consistent track record of providing insights that increase productivity. Desired Requirements Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

As a Senior MLOps Engineer, you will be responsible for a wide range of engagements, listed below: Can guide the team to build a scalable MLOps platform and work with business architects to implement and expand the MLOps setup. Has worked on deploying ML models to production and has experience with model monitoring, inferencing, drift concepts, feature stores, etc. Has a good understanding of how ML algorithms work and how to debug issues in the code. Has deployed applications using containers and container orchestration. Manages conversations with client stakeholders to understand requirements and translate them into technical outcomes. Responsible for bridging the gap between machine learning and software engineering, focusing on deployment, scaling, and management of ML models in production environments. A developer focused on streamlining the process of developing, deploying, and maintaining ML systems to ensure they are efficient, scalable, and reliable. Has a strong conceptual understanding of the ML lifecycle and various ML algorithms. Has worked on at least one cloud platform and its ML-as-a-Service Skills and Experience : Strong understanding of DevOps practices and skilled in developing end-to-end CI/CD pipelines. Execution knowledge of data modeling, databases (SQL and NoSQL), software development lifecycle practices, unit testing, functional programming, etc. Experience with one or more ML-as-a-Service platforms, such as Azure DevOps, Dataiku, or equivalent open-source tools. Proficient in at least one programming language used in data engineering, such as Python. Strong knowledge of Snowflake. Experience working on at least one cloud : Good business understanding. Logical thinking and problem-solving skills. Ability to collaborate effectively. Capable of analysing problems and developing actionable, tactical plans quickly. Good managerial skills and team leadership capabilities. Strong verbal and written communication skills. Good stakeholder management skills. Exercises independent judgment within defined practices and procedures. Demonstrated ability to mentor juniors. (ref:hirist.tech) Show more Show less

hackajob is collaborating with Wipro to connect them with exceptional tech professionals for this role. Title: Dataiku Data Engineering Developer/Lead Requisition ID: 52369 City: Chennai Country/Region: IN Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ͏ Mandatory Skills DataIku for ETL operations and preferably other ETL tools like Informatica. Good in Python Coding, SQL, GIT Proven experience as a Data Engineer, Data Integration, Data Analyst. Preferred Skills Banking Domain exposure and AI/ML, Data Science exposure ͏ 7+ years of experience, including 2+ years of experience in delivering projects in DataIku platforms. Proficiency in configuring and optimizing Dataiku’s architecture, including data connections, security settings and workflow management. Hands-on experience with Dataiku recipes, Designer nodes, API nodes & Automation nodes with deployment. Expertise in python scripting, automation and development of custom workflows in Dataiku Collaborate with data analyst, business stakeholders and client to gather and understand the requirement. To contribute to the developments in DataIku environment to apply data integration with given logic to fulfil Bank Regulatory requirement and other customer requirement. Gather, analyse and interpret requirement specifications received directly from the client. Ability to work independently and effectively in a fast-paced, dynamic environment. Strong analytical and problem-solving skills. Familiarity with agile development methodologies. Participate in the CR/Production deployment implementation process through Azure DevOps ͏ Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

Role : Dataiku Developer Location : Bangalore, Pune, Noida, Chennai Experience : 5-9years Role & Responsibilities Report Development: Design and develop complex tableau reports for scalability, manageability, and re-usability. Work through iterative review cycles to deliver results that meet or exceed user expectations. Ability to interpret technical or dashboard structure and translate complex requirements to technical specifications. Ensure reports meet business requirements and performance standards. Data Modelling: Design and implement data pipelines using Dataiku to support reporting needs. Develop data sources, including SQL queries, stored procedures, and database views. Optimize data models for performance and scalability. Ensure data integrity and accuracy in the reporting environment. Provide recommendations and best practices for reporting and data modelling. Testing and Validation: Validate report outputs against business requirements and data sources. Troubleshoot and resolve issues related to reports and data models. Preferred Candidate Profile: Strong experience as Dataiku or Tableau Developer with strong technical knowledge in data modelling using SQL Experience using tableau dashboard, creating Dataiku data pipeline flows. Experience handling Ashok data analysis on SQL Experience in managing business intelligence reporting using tableau and data engineering on Dataiku. B.Tech/BCA/BE and above candidates are eligible Mandatory Skills : Dataiku Developer, SQL Interested candidates share your updated cv at reshmi.das@sdnaglobal.com Mention subject line as "Applying for Dataiku Developer" Mention your Total Experience, CTC, Exp CTC, Notice Period, Location Note: Before applying kindly read the JD properly.

Position Summary Job Title: Manager - Government and Public Services Enabling Areas (GPS EA). The Team: GPS GSi The Role: Senior Data Scientist The Team: Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and collaborating with a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you! As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by Enabling Area professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to work independently / as a team, and apply problem-solving skills to resolve complex issues. Work you will do. Technology: Deliver exceptional client service. Maximizes results and drives high performance from people while fostering collaboration across businesses and geographies Interfacing with business customers and leadership to gather requirements and deliver complete Data Engineering, Data Warehousing, and BI solutions. Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms. Develop, design, and/or advise on Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.) Utilize Machine Learning Operations (MLOps) pipelines, including knowledge of containerization (Docker) and CI/CD for training and deploying models. Maintain structured documentation of project development stages, including the utilization of GitHub and/or Jira for version control and project management. Demonstrate effective communication skills with the ability to provide expertise and break down complex analytical solutions to explain to clients. Remain current with latest industry trends and developments in data science and/or related fields, with the ability to learn new skills and knowledge to advance the skillset of our Data Science team. Apply thorough attention to detail, and carefully review data science solutions for accuracy and quality. Leadership: Develop high-performing teams by providing challenging and meaningful opportunities, and acknowledge their contributions to the organization's success. Establish the team's strategy and roadmap, prioritizing initiatives based on their broader business impact. Demonstrate leadership in guiding both US and USI teams to deliver advanced technical solutions across the GPS practice. Serve as a role model for junior practitioners, inspiring action and fostering positive behaviors. Pursue new and challenging initiatives that have a positive impact on our Practice and our personnel. Establish a reputation as a Deloitte expert and be acknowledged as a role model and senior member by client teams. Support and participate in the recognition and reward of junior team members. People Development: Actively seek, provide, and respond to constructive feedback. Offer development guidance to the GSi team, enhancing their people, leadership, and client management skills. Play a pivotal role in recruitment and the onboarding of new hires. Engage in formal performance assessment activities for assigned staff and collaborate with Practice leadership to address and resolve performance issues. Serve as an effective coach by helping counselees identify their strengths and opportunities to capitalize on them. Foster a "One Team" mindset among US and USI team members. Qualifications: Required/Preferred: Bachelor's degree, preferably in Management Information Systems, Computer Science, Software Engineering, or related IT discipline Minimum of 10+ years of relevant experience with data science technologies and analytics advisory or consulting firms. Strong knowledge of LLMs and RAG. Familiarity with AWS, Databricks, and/or Dataiku platforms. Working knowledge of MLOps, including familiarity with containerization (e.g., Docker). Excellent troubleshooting skills and the ability to work independently. Strong organizational skills, including clear documentation of projects and ability to write clean code. Familiarity with agile project methodology and/or project development lifecycle. Experience with GitHub for version control. Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical audiences. Ability to complete work in an acceptable timeframe and manage a variety of detailed tasks and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job. Extensive experience with MLOps and associated serving frameworks (i.e., Flask, FastAPI, etc.) and orchestration pipelines (e.g., Sage Maker Pipelines, Step Functions, Metaflow, etc.). Extensive experience working with open source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.). Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.). Proficiency in basic front-end web development (e.g., Streamlit). Knowledge of Object-Oriented Programming (OOP) concepts. At least 3-4 years of people management skills are required. Work Location:Hyderabad Timings: 2 PM – 11PM How You’ll Grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities— including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, worldclass learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities.We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302611 Show more Show less

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 Manager, AI and Data Science Full Stack Engineer , you will join the Data Science Industrialization team. Your responsibilities will include architecting and implementing AI solutions at scale for Pfizer. You will iteratively develop and continuously improve data science workflows, AI based software solutions, and AI components. Role Responsibilities Develop end-to-end data engineering, data science and analytics products and AI modules. Develop server-side logic using back-end technologies such as Python. Develop data ETL pipelines using python and SQL. Create responsive and visually appealing web interfaces using HTML, CSS, and Bootstrap. Build dynamic and interactive web applications with JavaScript frameworks (React, Vue, or AngularJS) Build data visualizations and data applications to enable data exploration and insights generation (e.g, Tableau, Power BI, Dash, Shiny, Streamlit, etc.). Implement and maintain infrastructure and tools for software development and deployment using IaC tools Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery Implement 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 solutions Demonstrate a proactive approach to identifying and resolving potential system issues. Contribute to the best practices of the team and help colleagues grow. Communicate complex technical concepts and insights to both technical and non-technical stakeholders. 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). 5+ years of experience in software engineering, data science, or related technical fields. Proven experience as a Full Stack Engineer or similar role, with a strong portfolio of successful projects. Solid experience in programming languages such as Python or R, and experience with relevant libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Good understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs. Knowledge of BI backend concept like Star Schema and Snowflake Experience in building low code dashboard solution tools like Tableau, Power BI, Dash and Streamlit 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 discipline Experience in CI/CD integration (e.g. GitHub, GitHub Actions) and containers (e.g. docker) Experience developing dynamic and interactive web applications; familiar with React, AngularJS, Vue. Experience in creating responsive user interfaces; familiar with technologies such as HTML, Tailwind CSS, Bootstrap, Material, Vuetify Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Chef Proficiency in Git for version control of infrastructure code and application code Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack Knowledge of serverless computing and experience with serverless platforms like AWS Lambda. Good knowledge of data manipulation and preprocessing techniques, including data cleaning, data wrangling and feature engineering. Good 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 platforms Familiarity 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 Show more Show less

Do you want to make a global impact on patient health? 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 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 leads engineering efforts to advance AI and data science applications from POCs and prototypes to full production. As a Manager, AI and Analytics Data Engineer , you will be part of a global team responsible for designing, developing, and implementing robust data layers that support data scientists and key advanced analytics/AI/ML business solutions. You will develop data solutions to support our data science community and drive data-centric decision-making. Join our diverse team in making an impact on patient health through the application of cutting-edge technology and collaboration. Role Responsibilities Develop data solutions to support data scientists and analytics/AI solutions, ensuring data quality, reliability, and efficiency Conduct exploratory data analysis and quality checks Deliver scalable data pipelines that ingest and integrate data from various information sources Contribute to best practices, standards, and documentation to ensure consistency and scalability Conduct data engineering research to advance design and development capabilities Guide junior developers on concepts such as data modeling, database architecture, data pipeline management, data ops and automation, tools, and best practices Demonstrate a proactive approach to identifying and resolving potential system issues Create and maintain robust technical documentation for data solutions to enable knowledge retention and sharing Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions Partner with the AIDA Data and Platforms teams to enforce best practices for data engineering and data solutions Basic Qualifications Bachelor's degree in computer science, information technology, software engineering, or a related field (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline). 5+ years of hands-on experience in working with SQL, Python, object-oriented scripting languages (e.g. Java, C++, etc..) in building data pipelines and processes. Proficiency in SQL programming, including the ability to create and debug stored procedures, functions, and views. Knowledge of modern data engineering frameworks and tools such as Snowflake, Redshift, Spark, Airflow, Hadoop, Kafka, and related technologies Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.) Understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP) Highly self-motivated to deliver both independently and with strong team collaboration Ability to creatively take on new challenges and work outside comfort zone. Strong English communication skills (written & verbal) Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or a related discipline (preferred, but not required) Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms Familiarity with machine learning and AI technologies and their integration with data engineering pipelines Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes. Experience working effectively in a distributed remote team environment Hands on experience working in Agile teams, processes, and practices Proficiency in using version control systems like Git. Pharma & Life Science commercial functional knowledge Pharma & Life Science commercial data literacy Ability to work non-traditional work hours interacting with global teams spanning across the different regions (e.g.: 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 Show more Show less

Summary We are looking for a detail-oriented, astute Digital Marketing Analytics Analyst to join our growing organization. You will be tasked with analyzing our digital marketing efforts, identifying trends, uncovering insights and helping shape the strategic direction of our marketing campaigns. Candidates must have 3+ years of overall experience, at least 2-3 years' experience on pharma datasets/digital marketing, good knowledge of data modeling and SQL, and robust technical problem-solving skills. About The Role About the Role: We are looking for a detail-oriented, astute Digital Marketing Analytics Analyst - Omnichannel to join our growing organization. You will be tasked with analyzing our digital marketing efforts, identifying trends, uncovering insights and helping shape the strategic direction of our marketing campaigns. Candidates must have 4-5 years of overall experience on digital marketing, website analytics, good knowledge of data modeling and SQL and robust technical problem-solving skills. Key Responsibilities Expertise in Google Analytics to track website traffic, user behavior, and conversions Knowledge of keyword research, SEO/SEM and basic proficiency in SEO tools (like SEMRush, others) is good to have Knowledge of SQL is essential for querying and manipulating data from databases Proficiency in Excel, Power Query, others is vital for data manipulation, cleaning, and reporting Manage overall digital analytics for multi-channel activations and understand reporting systems to track KPIs and marketing campaign effectiveness across digital marketing datasets Use data analytics to derive an understanding of customer behavior, apply segmentation and predictive methods to improve marketing effectiveness Analyze digital marketing performance across various channels such as Web, Email Marketing, Social Media, Display/Programmatic Banners and Content Marketing, and provide optimization recommendations Interpret data, analyze results, and provide ongoing reports using statistical techniques and tools Assist in the process of designing and implementing key performance indicators and metrics, as well as in the tracking and analysis of these parameters to measure success and identify areas for improvement Create visualizations of data through reports and dashboards to articulate data patterns and trends effectively. Presentation skills is good to have Foundation in statistical concepts, methods, and techniques is good to have for analyzing data and drawing meaningful insights Essential Requirements Bachelor’s degree in marketing, Business, Statistics, or a related field. A master’s degree is preferred Expertise in using web analytics tools (especially Google Analytics, Looker Studio), third-party media, email marketing platforms (SFMC), etc. Strong analytical and problem-solving skills with a high-level attention to detail Exceptional written and verbal communication skills, with the ability to translate complex data into actionable insights Strong ability to think strategically, analyze, and interpret market dynamics and develop key industry insights Proficient in statistical analysis tools (R, Python, or similar) and data visualization tools (Tableau, Excel, Power BI or similar) Ability to work independently and collaboratively in a team environment Desired Requirements Proven Website Analytics experience Proven experience as a Digital Marketing Analyst or similar role Good knowledge on complex SQL, Python, Alteryx or related data management tools Well versed with digital marketing landscape along with experience in working with pharma industry across Commercial and Marketing analytics Use advanced analytics techniques such as A/B Testing, Hypothesis Testing, Supervised and Unsupervised classification techniques to provide data driven optimizations Certification or training in relevant analytics or business intelligence tools is a plus Skills Google Analytics, Looker Studio SQL Advanced Excel Advanced Power point Python (Good to have) Any ETL tools (Alteryx, Knime, DataIKU etc.) Analytical Thinking Digital Marketing Marketing Strategy Problem Solving Statistical Analysis Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility And Accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less