5 of 5 Remote Data Analysis Jobs in East Anglia

with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 with the subject line: “Application Support Request”. Role: AI/ML and Data Science Developer Job Type: Permanent Location: Stevenage (Hybrid) Number of hours: 40 hours per week – full time Are you looking for an exciting opportunity … as an AI/ML? Are you passionate about Data Science? We have an exciting role for you - AI/ML and Data Science Developer Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to … opportunities. Work closely with the range of teams within the business to bring products to life. The Role As a AI/ML and Data Science Developer , you are required to Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. You will also be More ❯

Business Analyst (Data Mapping) Contract Length: 6 Months Location: Hybrid (2–3 Days On-Site in Hertfordshire) Day Rate: £550 Inside IR35 Start Date: ASAP Are you a detail-focused BA with experience in ERP data migration? We’re looking for a Data Mapping Business Analyst to … with technical and test teams to ensure a smooth transition of HR, payroll, inventory, and procurement data. You’ll also support ETL tool selection, data cleansing, and post-load validation activities, playing a key role in ensuring the integrity and success of the migration. Experience Needed: • Hands-on experience … in data mapping and migration for ERP systems (Oracle Fusion preferred) • Familiar with HR, Payroll, Inventory, and Procurement data domains • Strong data analysis skills (SQL knowledge beneficial) • Experience supporting ETL workflows and validation processes • Understanding of Oracle Fusion data structures • Comfortable working with technical, business More ❯

boost production efficiency, enhance quality, and promote sustainability while working alongside a fantastic team. You'll use lean manufacturing principles, Six Sigma techniques, and data analysis to spot areas for improvement and put smart solutions into action. Let's innovate and make manufacturing smarter together! Key Responsibilities: Develop … and implement smart manufacturing strategies to enhance production capabilities and efficiency. Analyze production processes and identify areas for improvement using data-driven methodologies. Collaborate with IT and engineering teams to integrate IoT solutions and data analytics into manufacturing operations. Utilize machine learning and AI to enhance process controls … in a smart manufacturing environment (minimum 5 years). Strong knowledge of manufacturing processes, lean principles, and continuous improvement methodologies. Familiarity with IoT technologies, data analytics, and automation systems. Proficiency in CAD software and manufacturing simulation tools. Strong presentation skills and ability to work collaboratively in a team environment. More ❯

you are working for them. Is this You? Requirements: Experience of configuring or developing business (web) applications. A good understanding of concepts such as data models, security models, and workflows. A working knowledge of ticketing systems such as Salesforce Case/Jira/Trello and key workflows/lifecycles … it within the company. You should not be afraid to step up and lead if appropriate. Desired Skills and Experience: Hands on experience with data analysis and/or migration work. Salesforce experience - We build mainly on the Force.com platform so existing knowledge and experience with Salesforce is More ❯

branded environment. Trusted by over 3,000 businesses worldwide, Clinked simplifies collaboration, improves productivity, and strengthens client relationships. Role Overview We are seeking a data-driven and creative Growth Hacker to lead our growth initiatives. This role is pivotal in driving user acquisition, optimizing our online presence, and contributing … Design and implement innovative growth strategies to boost user acquisition and retention. Experimentation: Launch A/B tests and growth experiments across multiple channels. Data Analysis: Track user behavior and campaign performance to identify opportunities and inform strategy. Cross-Functional Collaboration: Work with product, marketing, and sales teams More ❯