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Object-oriented language such as C++ or Java; Relational databases including Structured Query Language (SQL); Latex as used to produce formal and version-controlled documents with equations and tables; working with data structures and algorithms; identifying bugs and design errors in code snippets;
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Pandas, NLTK, Scikit-learn, Keras, etc. Directing data engineers and other data scientists to deliver efficient solutions to meet client
The ideal candidate will leverage a wide variety of data analysis techniques to analyze departmental data. The ideal candidate will also leverage advanced deep learning architectures, including transformers, to develop and deploy data-driven solutions. Expertise in deploying, monitoring, and maintai
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;. At PwC, our people in dat
Define data dictionaries, metadata, and relationships to support data governance and consistency. Data Modeler or Data Architect. Proven expertise in modeling insurance data entities such as.
You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Strong skills in NLP, LLMs and deep learning. Published research in areas of machine learning at major conference
Project manager with AI and Data analytics.
At Pave, we’ve built a system of real‑time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn’t have the tools it needs to fully leverage it. Pave's R&D pillar includes our data scienc
Proficiency in ML and deep learning frameworks such as scikit-learn, PyTorch, TensorFlow, or JAX. Design and deploy machine learning models to detect fraud, quality issues, and violations in large-scale contributor workflows. As a core part of our Generative AI data engine, these systems are critica
We are seeking aStaff Platform Engineer - Data & AI Platformto lead the design, deployment, and operationalization of scalable machine learning (ML) and large language model (LLM) infrastructure across Azure ML, Databricks, Snowflake, and Terraform. Azure ML, Databricks, Terraform, and ML applicatio
Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in p
You will utilize Python for designing, developing, and deploying Agentic solutions, fine tune models that power the agents and build data pipelines to power our products and services. Work experience with graph data and time series as well as working knowledge of Reinforcement Learning algorithms an
Experience in deploying complex and large scale machine learning algorithms and advanced modeling solutions. Machine Learning and Data Science applications with a proven track record to drive innovation and business impacts. Discovery, a premier global media and entertainment company, offers audienc
Do you have experience building and maintaining data processing pipelines or infrastructure at scale? * Select. Want to learn more about machine learning research. Machine Learning Systems Engineer, Research Tools.
Required 5 Years Proficiency in SQL Required 5 Years Experience conducting data profiling to identify data quality issues and work with the Business and IT teams to resolve issues Required 5 Years Experience creating data flow diagrams to illustrate data lineage and mapping from data warehouse to en
Expert-level proficiency in Python, PyTorch/TensorFlow, and software engineering best practices. You will architect and implement state-of-the-art generative models for de novo drug design, driving the creation of novel therapeutic compounds. PhD in Computer Science, Computational Chemistry, or a re
Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design, and data to re-invent businesses, drive growth, and orchestrate customer-centric transformation. As a Data Scientist in the Data Driven Transformation Team of Capgemini Invent, you will help client
Build data-driven pipelines: Train customized AI models by integrating ChEMBL/patent data. Collaboration Skills: Ability to clearly interpret computational results for chemistry/biology teams and guide experimental design. Omics data mining: Discover novel targets and biomarkers through multi-omics
Bachelor's Degree AND 5+ years of related experience or Master's Degree AND 3+ years of related experience, in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience with machine learning, artificial intelligence, statistics, predictive analytics, rese