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  "employer_name": "Anson Mccade",
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  "job_description": "Junior Data Analyst\n£40,000 to 60,000 GBP\nHybrid WORKING\nLocation: Central London, Greater London - United Kingdom Type: Permanent\n\nJunior AI / Data Analyst\n\nLocation: London (Hybrid)\n\nSalary: £40,000 - £60,000 per year\n\nContract Type: Permanent / Full-time (No sponsorship)\n\nAbout the Role\n\nWe are seeking a Junior AI / Data Analyst to join a dynamic digital solutions team. This is an early-career role designed for candidates with 6 months to 4 years of experience or those with a PhD in a relevant field. You will contribute to data collection, preparation, analysis, and early-stage machine learning model development, helping transform raw data into actionable insights and supporting AI adoption across multiple projects.\n\nThis is a hands-on, learning-focused role with opportunities to work on AI, machine learning, IoT, and data-driven digital initiatives within a collaborative, agile environment.\n\nKey Responsibilities\n• Collect, clean, and preprocess data from multiple sources, ensuring quality and reproducibility.\n• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.\n• Support early-stage machine learning experiments, feature engineering, and model evaluation.\n• Assist in research and assessment of AI tools and technologies for defined use cases.\n• Create clear data visualisations, dashboards, and reports to communicate insights effectively.\n• Collaborate with cross-functional teams and contribute to project documentation and governance.\n• Support responsible AI practices and adherence to data quality and governance standards.\n• Learn from feedback, code reviews, and project retrospectives to build practical AI and data science skills.\nRequired Skills & Experience\n• Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field.\n• Basic experience in data analysis and manipulation using Python (pandas, NumPy) or similar.\n• Familiarity with data visualisation tools (Power BI, Tableau, matplotlib, seaborn, or equivalent).\n• Understanding of fundamental machine learning concepts (supervised vs unsupervised learning).\n• Strong analytical skills, attention to detail, and ability to communicate findings clearly.\n• Highly organised, methodical, and able to manage multiple tasks.\nDesirable\n• Practical experience implementing AI or ML solutions.\n• Exposure to time series, image, or tabular data.\n• Familiarity with version control systems (e.g., Git).\n• Interest in AI governance, ethics, and responsible AI practices.\nProfessional Attributes\n• Curious, proactive, and motivated to learn about AI, data science, and emerging technologies.\n• Comfortable working hands-on with data, tools, and code.\n• Collaborative and consultative, able to communicate with technical and non-technical colleagues.\n• Detail-oriented, methodical, and able to maintain structured, reproducible work.\n• Able to adapt to a dynamic environment and manage multiple projects concurrently.\nWhat We Offer\n• Competitive salary: £40,000 - £60,000 per year\n• Hands-on experience across AI, machine learning, and digital transformation projects.\n• Opportunity to develop skills in a collaborative, growth-focused environment.\n• Hybrid working model with a mixture of office-based, remote, and project-dependent travel.\nReference: AMC-AQU-JDA\n\nPostcode: EC2V 6AA\n\n#adqu",
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  "job_posted_at_datetime_utc": "2026-03-05T00:00:00.000Z"
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