{
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  "job_title": "Data Scientist Consultant – Graduate/Entry Level",
  "job_country": "GB",
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  "job_location": "Slough",
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      "publisher": "Talents By StudySmarter",
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  "job_posted_at": "8 days ago",
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  "job_description": "Do you want exposure to multiple industries within your first year in Data Science?\n\nHave you ever wanted to apply machine learning in real client-facing commercial settings?\n\nAre you ready to build consulting skills alongside technical depth from day one?\n\nA global strategy consultancy is hiring a Data Science Analyst into its London-based Data & Analytics team. The group supports clients across life sciences, healthcare, transport & logistics, and an expanding financial services portfolio. The team blends commercial strategy with technical delivery and is investing in growing its junior capability. You’ll work closely with experienced Data Science leaders in a supportive but high-performance environment.\n\nThis is a junior-level Data Science role designed for strong academic performers who want broad exposure rather than narrow specialisation. You’ll gain early ownership on projects while developing both modelling and consulting capability.\n\nKey Responsibilities:\n\n• Deliver analytics and machine learning models on client projects\n\n• Conduct EDA, statistical analysis, and dataset evaluation\n\n• Build dashboards and insight tools for stakeholders\n\n• Contribute to commercial proposals and client presentations\n\n• Support internal ML tool development and innovation initiatives\n\n• Collaborate with digital teams on data-driven product offerings\n\nKey Details:\n\n• Salary: Up to £55,000 base\n\n• Sign-on: £5,000 (year one, repayable if leaving within first year)\n\n• Working model: Hybrid, 2–3 days per week in Victoria, London\n\n• Tech stack: Python, SQL (bonus), Azure (nice to have)\n\n• Sponsorship: Cannot sponsor\n\nInterested? Please apply below.\n\nSalary: GBP 43200 - 66000 per year",
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  "employer_website": "https://www.harnham.com",
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  "job_posted_at_timestamp": 1773360000,
  "job_posted_at_datetime_utc": "2026-03-13T00:00:00.000Z"
}