{"id":4207179,"url":"https://alion.io/job/centrica-data-scientist","title":"Data Scientist","company":{"id":1791963,"name":"Centrica","domain":"centrica.com","url":"https://alion.io/company/centrica","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":12,"ghost_share":0,"stale_share":0.417,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cardiff, United Kingdom","Reading, United Kingdom","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":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-12T23:57:49Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T23:57:49Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join us, be part of more.\nWe’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.\nWe have an exciting opportunity for a Data Scientist to join our team, using relevant data to tackle complex business challenges and turn insight into measurable outcomes.\nYou'll work across a varied portfolio of customer, commercial and operational problems, from understanding churn and retention to Customer Lifetime Value (CLTV), segmentation, propensity modelling and operational optimisation.\nThis is more than a model-development role. You'll have the opportunity to build reusable, production-ready solutions, embed models into business processes and see the real-world impact of your work.\nKey Accountabilities:\nDesign, build, test and deploy statistical and machine learning models to solve customer, commercial and operational challenges.\nAnalyse large and complex datasets to identify patterns, opportunities and drivers of customer behaviour, translating your findings into clear, actionable recommendations.\nPartner with stakeholders to turn commercial questions and opportunities into well-defined data science problems.\nDevelop solutions across areas including churn and retention, CLTV, segmentation, propensity modelling, customer targeting and optimisation.\nBuild robust feature engineering, training and inference pipelines, using technologies such as Python, PySpark and Databricks.\nHelp take models into production through automated workflows, testing, version control, CI/CD, monitoring and model lifecycle management.\nCollaborate with data engineers, platform teams and fellow data scientists to create scalable, reliable solutions while maintaining high standards of data quality, model governance and responsible AI.\nHere’s what we’re looking for:\nExperience applying statistical analysis and machine learning to real-world business problems.\nStrong programming skills in Python and SQL, with experience working with large and complex datasets.\nExperience with, or exposure to, PySpark and Databricks.\nA good understanding of machine learning techniques, which could include classification, regression, gradient boosting/XGBoost, segmentation, propensity modelling or survival analysis.\nExperience or knowledge of production ML practices such as Git, CI/CD, MLflow, automated testing, model deployment and monitoring.\nStrong analytical thinking, with the ability to take an ambiguous business question through exploration and modelling to an actionable recommendation.\nThe ability to explain complex analytical approaches, assumptions and results clearly to both technical and non-technical audiences.\nA collaborative and curious approach, with a willingness to learn, challenge existing thinking and share knowledge.\nExperience within customer analytics, energy, utilities, retention, pricing or commercial analytics would be beneficial, but isn't essential.\nLocation:\nWe operate a Flexible First approach, giving colleagues flexibility in how and where they work. This role can be predominantly home-based, although ideally you will be based within commutable distance of our Cardiff site and be flexible to travel across our sites as may be needed on occasion for team meetings.\nWhy should you apply?\nWe’re not a perfect place - but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you. \nhttps://www.morethanacareer.energy/centrica\nIf you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.\nHelp us, help you. 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