{"id":2895430,"url":"https://alion.io/job/bupa-cs-data-science-and-analytics-engineer","title":"CS Data Science and Analytics Engineer","company":{"id":1769945,"name":"Bupa","domain":"bupa.co.uk","url":"https://alion.io/company/bupa-co-uk","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":58,"ghost_share":0,"stale_share":0.931,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Salford, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":50000,"max":null,"currency":"GBP","period":"year","gross":null,"usd_annual":66538},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Feature Store","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T16:27:47Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Description:\nCustomer Services Data Science and Analytics Engineer (C15)\nLocation: Bupa Place, Salford Quays\nFull time, 37.5 hours per week\nHybrid working options available (2 days per week in the office)\nPermanent Contract\nSalary: From £50,000 dependant on experience\nWe consider all types of flexibility, including locations, hours and working patterns.\nWe make health happen:\nAt Bupa, we’re passionate about technology. With colleagues, customers, patients and residents in mind you’ll have the opportunity to work on innovative projects and make a real impact on their lives. Right from the start, you’ll become part of our digital strategy, joining us on our journey and developing yourself along the way.\nAs a Data Science and Analytics Engineer, you’ll be responsible for the day to day production of insight and analysis by deploying Data Science/ML/AI techniques and models on behalf of the Customer Service Operation. You’ll be supporting the broader team by taking a lead on and identifying tasks as assigned to you by the Leadership team, and you’ll also plan, design and deliver the data, visualisation and insight needed to enable business transformation.\nHow you’ll help us make health happen:\nYou’ll use advanced analytics, machine learning, and visualisation tools to uncover trends, predict behaviours, and support strategic decision-making.\nHere’s what you’ll be doing:\nLeading data science/ML/AI projects aligned to business priorities. \nUsing SQL, Python, DAX and other tools to build models and deliver predictive insights. \nDeveloping a deep understanding of customer needs and operational data. \nCollaborating with analysts, data engineers, and stakeholders to build feature stores and deliver impactful analysis. \nCoaching peers and stakeholders in data science techniques and tools. \nPresenting insights using Power BI and supporting continuous improvement across the team. \nKey Skills / Qualifications needed for this role:\nSignificant experience in data science, analytics, and engineering practices is essential. \nProficiency in SQL, Python, DAX, R and statistical modelling is essential. \nExperience working in Agile frameworks and customer contact environments. \nStrong stakeholder management and communication skills. \nAbility to translate business goals into technical requirements and deliver actionable insights. \nExperience with DataOps, MLOPs and continuous improvement methodologies. \nComfortable with interpreting data to deliver factual business commentary to our customers. \nExcellent attention to detail and innovative-minded. \nDemonstrates thoughtful leadership qualities with strategic thinking, emotional intelligence, and a collaborative mindset, alongside clear aspirations to grow into a future leadership role that inspires others and drives positive change. \nBenefits\nOur benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health - from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits.\n25 days holiday, increasing through length of service, with option to buy or sell \nBupa health insurance as a benefit in kind \nAn enhanced pension plan and life insurance \nOnsite gyms or local discounts where no onsite gym available \nVarious other benefits and online discounts \nWhy Bupa?\nWe’re a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose - helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do.\nWe encourage all of our people to “Be you at Bupa”, we champion diversity, and we understand the importance of our people representing the communities and customers we serve. That’s why we especially encourage applications from people with diverse backgrounds and experiences.\nBupa is a Level 2 Disability Confident Employer. This means we aim to offer an interview/assessment to every disabled applicant who meets the minimum criteria for the role. We’ll make sure you are treated fairly and offer reasonable adjustments as part of our recruitment process to anyone that needs them. 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