2 of 2 Data Science Consultant Jobs in the Midlands

A growing Microsoft Partner Consultancy are looking for a passionate AI Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to company conferences and events - for this reason, this role is open to applicants across the UK. This role sits within their specialist AI Practice - focused on … range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would … be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python and SQL More ❯

Social network you want to login/join with: DATA SCIENCE CONSULTANT BIRMINGHAM, Birmingham Client: Management Solutions, S.L Location: Birmingham, United Kingdom Job Category: Other - EU work permit required: Yes Job Reference: d58337fe5747 Job Views: 3 Posted: 02.06.2025 Expiry Date: 17.07.2025 Job Description: United States DATA SCIENCE CONSULTANT BIRMINGHAM Birmingham/Graduate/Number … of vacancies: 5 You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (Monte Carlo), review of credit rating and scoring models, and providing quantitative support to business and R&D projects. Requirements Recent graduates or final year students from disciplines related to Mathematics, Physics, Statistics, Econometrics, or … other Quantitative fields. Postgraduate studies and/or specialized courses are an asset, especially in Data Science, Quantitative Finance, or similar. Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools and platforms (Hadoop, Hive, etc.). Solid academic record. Strong computer skills. More ❯