4 of 4 Data Science Jobs in Durham

a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. … Architectures Translate client requirements into scalable, cloud-based AI architectures that address both technical feasibility and business impact. Propose end-to-end AI/ML solutions—including model design, data pipelines, MLOps, and platform integration—tailored to each opportunity. Support Sales and Bid Activity Lead the technical response for AI-related RFPs, RFIs, and proposals, including solution overviews, technical … technologies (e.g. vector databases, RAG pipelines, prompt engineering) can drive value in future proposals. Qualifications Experience & Skills Proven experience in pre-sales or client-facing architecture roles involving AI, data science, or analytics. Strong ability to elicit business needs and align them with AI/ML solutions in cloud environments (Azure, AWS, or GCP). Deep technical understanding More ❯

your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from In Technology Group Recruitment Consultant at In Technology Group Data Engineer – Newcastle (3 Days On-Site) Large Utilities Company | Permanent | Hybrid Working Are you a data-driven problem solver with a passion for building robust data pipelines … and infrastructure? We’re working with a major player in the utilities sector who is seeking a talented Data Engineer to join their growing data team in Newcastle . This is a fantastic opportunity to work on impactful projects that support critical infrastructure, while enjoying a hybrid working model with 3 days per week on-site . What … You’ll Be Doing: Designing, building, and maintaining scalable data pipelines and ETL processes. Collaborating with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Ensuring data quality, integrity, and security across various platforms. Supporting the migration and integration of data from legacy systems to modern cloud-based environments. What We’re More ❯

applicable to current and emergent lessons learned/technologies). Position Responsibilities: Conduct/lead technical design and non-advocate reviews performed across the portfolio and drive decisions leveraging data, engineering judgement, and experience Perform fatigue, damage tolerance and risk analyses using advance computational methods and tools Lead engineering teams supporting production, in-service issues and force/fleet … which the U.S. Government requires U.S. Citizenship . An interim and/or final U.S. Secret Clearance Post-Start is required. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 20+ years of … Clearance Typical Education/Experience: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 20 or more years' related work experience or an equivalent combination of technical education and experience More ❯

Air Dominance engineering teams through technical design reviews, program gate reviews, and other independent reviews as needed by the engineering function. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. Level 4: 9+ years … Integrated Product Teams (IPT). Typical Education/Experience: Level 4: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work … accreditation is the preferred, although not required, accreditation standard. Level 5: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+9 years' related work More ❯