Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and … technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and … to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deeplearning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Investigo
Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and … experience with deeplearning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud More ❯
AI systems to enhance product offerings and customer interactions. Conduct research and experimentation to improve AI algorithms and models. Train, evaluate, and deploy machine learning models into production environments. Collaborate with cross-functional teams to understand business requirements and deliver AI solutions that align with company values and missions. … including leaders, to share ideas, discuss problems, and drive continuous improvement. Qualifications and qualities which are preferred but not essential: Strong understanding of machine learning algorithms, deeplearning frameworks, and AI technologies. Analytical and problem-solving skills, with the ability to challenge ideas and processes. Positive attitude More ❯