4 Kedro Jobs

The role at Novartis as part of the commercial Data and Analytics team involves understanding complex and critical business problems to formulate integrated analytical approaches. You will be required to mine data sources, employ statistical methods, machine learning algorithms, and AI to discover actionable insights and automate processes for efficiency. Your responsibilities include excellent communication skills, collaborating with senior stakeholders, translating business requirements into problem statements, and guiding data scientists in project delivery. You must also have advanced technical skills in data science languages like Python, Databricks, and Snowflake, along with experience in building statistical, econometrics, and machine learning algorithms. Moreover, you should be proficient in developing scalable solutions, understanding advanced optimization techniques, and working with multi-cloud environments such as AWS and MS Azure. The ideal candidate for this position should possess a Masters or Ph.D. in Computer Science, Bioinformatics, or related fields, along with a post-graduate degree in Business Management. A minimum of 12 years of experience in Pharma/Healthcare domain/Life sciences and 5 years of international experience is required. Novartis offers a collaborative and inclusive environment where new insights and solutions are encouraged at the intersection of medical science and digital innovation. The company believes in fostering a diverse and equitable workplace that inspires innovative ways of working. By joining Novartis, you will have the opportunity to collaborate with like-minded professionals to tackle the world's toughest medical challenges. If you are passionate about making a difference and are ready to take on new challenges, Novartis welcomes you to be a part of their team. Novartis is committed to providing reasonable accommodation to individuals with disabilities throughout the recruitment process. If you require assistance due to a medical condition or disability, please contact [email protected] with your request and contact information, specifying the job requisition number. Join Novartis in creating a brighter future together by exploring suitable career opportunities within their network. To learn more about the benefits and rewards offered at Novartis, visit their website. The company's dedication to building an inclusive work environment ensures that their teams are representative of the patients and communities they serve.,

You will collaborate with other data scientists, data/ML engineers, designers, project managers, and business subject matter experts on interdisciplinary projects in various industry sectors to support business objectives using data & analytics. Your role requires a high level of collaboration, willingness to listen and learn from colleagues, and the ability to challenge thoughtfully while focusing on impact. You should continuously seek ways to enhance processes and work closely with your team members to drive iterative change and improvement. While emphasizing the importance of using the appropriate tools for each task, you will also consider clients" current environments and preferences. Commonly used tools include Python, PySpark, TensorFlow, PyTorch, Databricks, SQL, Docker, and Kubernetes. Additionally, proprietary tools like Kedro, CuasalNex, and MLRun are utilized. Collaboration with cloud service providers such as AWS, GCP, and Azure is a regular practice. As a Data Scientist, your responsibilities will include: - Solving complex business challenges for clients globally through advanced Machine Learning and statistical methods - Leading the research and development of cutting-edge AI and deep learning solutions - Identifying high-potential machine learning R&D initiatives applicable to various industries - Collaborating with QuantumBlack leadership and clients to align business problems with analytics and AI solutions - Working with a diverse team to develop end-to-end analytics solutions that drive tangible impact for clients - Contributing to one of the most skilled and diverse data science teams in the industry Your impact at McKinsey will involve working on impactful projects across diverse industries, collaborating with QB/Labs teams, and developing innovative ML systems to address business challenges efficiently. You will have the opportunity to grow as a technologist and leader by working on real-world problems and engaging with industry experts to deliver value to clients effectively. Your qualifications and skills should include: - A bachelor's or master's degree in computer science, machine learning, applied statistics, mathematics, engineering, or artificial intelligence - 2+ years of technical experience in machine learning, advanced analytics, and statistics - Proficiency in Python programming - Demonstrated application of advanced analytical and statistical methods in practical scenarios - Strong presentation and communication skills to convey complex concepts to technical and non-technical audiences - Knowledge of engineering standards and QA/risk management - Experience in GenAI application development and API integration using tools like Langchains, Crew.AI, and AutoGen is advantageous - Readiness to travel domestically and internationally for project requirements,

As a Data Scientist for AI Products at Linde, you will be an integral part of the Artificial Intelligence team within Linde's global corporate division. Your primary responsibility will involve working on real business challenges and opportunities across multiple countries. Your focus will be on supporting the AI team in extending existing AI products and developing new ones to cater to various use cases within Linde's business and value chain. Collaboration with diverse teams including Project Managers, Data Scientists, Data and Software Engineers will be a key aspect of your role. You will directly work with a variety of data sources, types, and structures to derive actionable insights. Developing, customizing, and managing AI software products based on Machine and Deep Learning backends will be among your core tasks. Your role will also entail supporting the replication of existing products and pipelines to other systems and geographies, defining data requirements for new developments, and interacting with business functions to identify opportunities with potential business impact. To excel in this role, you are required to have a Bachelor's or Master's degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research, or a related field. A strong understanding and practical experience in Multivariate Statistics, Machine Learning, and Probability concepts are essential. Additionally, hands-on experience with preprocessing, feature engineering, data cleansing, and Python programming skills are crucial. Proficiency in handling large datasets using SQL, knowledge of data architectures, and experience with data visualization tools like Tableau or PowerBI are desired. Your result-driven mindset, excellent communication skills, and ability to structure projects from ideation to implementation will be valuable assets in this role. Fluency in English is a must, and any experience with DevOps, MS Azure, Azure ML, Kedro, Airflow, MLflow, or similar tools will be advantageous. Working at Linde offers you the opportunity to be part of a leading global industrial gases and engineering company with a strong commitment to sustainable development and customer success. If you are looking for a challenging yet rewarding career where you can make a positive impact on the world, Linde provides limitless possibilities for your professional growth. Join us in our mission to make the world more productive and sustainable. Let's talk about how you can contribute to our team!,

Job Description: We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud Services such as AWS highly desirable. Required Skills/Qualifications : - 3-12 years of experience in AI/ML related work - Extensive experience in Python - Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis - Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers - Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras - Experience with GenAI, LLMs, RAG architecture would be a plus - Familiarity with cloud services such as AWS, Azure - Familiarity with version control systems (e.g., Git), JIRA, Confluence - Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro - Knowledge of CI/CD pipelines and DevOps practices - Experience delivering customer facing AI Solutions delivered as SaaS would be a plus - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Strong problem-solving skills and attention to detail - Excellent verbal and written communication and teamwork skills