{"id":4198908,"url":"https://alion.io/job/ipsos-data-scientist-synthetic-data-team","title":"Data Scientist-Synthetic Data team","company":{"id":44588,"name":"Ipsos","domain":"ipsos.com","url":"https://alion.io/company/ipsos","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":22,"ghost_share":0,"stale_share":0.818,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Digital Twin","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-11-12T15:51:43Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T21:26:34Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Make Your Mark at Ipsos\nAre you excited by the potential of generative AI and synthetic data? Do you enjoy applying machine learning to real-world challenges and want to help shape the future of market research? If so, we'd love to hear from you.\nAbout the Role\nJoin Ipsos' growing Synthetic Data team and help build the next generation of AI-powered research solutions. Working alongside data scientists, researchers and engineers, you'll explore how synthetic data and digital twins can transform the way insights are generated and delivered.\nThis is a unique opportunity to work at the cutting edge of generative AI, applying deep learning and LLM technologies to solve genuine business challenges. You'll be involved in designing and evaluating synthetic datasets, building digital twin applications, developing experimentation frameworks and helping turn emerging technologies into practical tools that can be used across Ipsos. You'll have the freedom to test new ideas, learn from experienced colleagues and contribute to innovation that has real commercial impact.\nAbout You\nEssential Skills\nMaster's degree, PhD or equivalent experience in Statistics, Mathematics, Computer Science or a related discipline.\nStrong grounding in statistical analysis and machine learning.\nProficiency in Python and modern data science libraries.\nKnowledge of deep generative modelling techniques.\nExperience working with LLM APIs or open-source LLM frameworks.\nUnderstanding of experimental design and model evaluation.\nExposure to cloud platforms such as AWS, Azure or Google Cloud.\nStrong communication and collaboration skills.\nDesirable Skills\nExperience within market research, analytics or customer insight environments.\nFamiliarity with deploying machine learning models into production.\nExposure to advanced generative AI methodologies.\nExperience contributing to innovation or R&D projects.\nProficiency in AI use and adoption to improve efficiency, experimentation and research outcomes.\nBehaviours\nAnalytical thinking\nCreative thinking\nCuriosity and lifelong learning\nResilience, flexibility and agility\nMotivation and self-awareness\nEmpathy and active listening\nService orientation and customer service\nBenefits\nWe offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range health & wellbeing, financial benefits and professional development opportunities.\nWe have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We appreciate you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application.\nWe are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. 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