{"id":814135,"url":"https://alion.io/job/daintta-data-scientist","title":"Data Scientist","company":{"id":694907,"name":"Daintta","domain":"daintta.com","url":"https://alion.io/company/daintta","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":165000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ElasticSearch","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-08-24T09:46:41Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-09-28T03:03:09Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"Who are we looking for?\nYou enjoy working on complex data problems whilst being able to suggest simple (yet effective) solutions. You are comfortable working with uncertainty and like to make things clearer. You’re passionate about technology and keep up as it evolves. You focus on the future and thrive most when solving problems. Client’s love working with you. You are honest and do things when you say you will, you also know how to explain things clearly and concisely. You can educate and inspire. You’ve got a background in data science, machine learning algorithms and data engineering along with their technologies. You’re equally comfortable presenting to clients, providing advice or building prototypes. You’re a collaborator and enjoy stepping out of your role from time to time, whether it’s to support your clients, colleagues or to learn something new.\nWhat might you be doing?\nLeading client projects and providing subject matter expertise.\nWorking in scrum-like environments for iterative and ‘fail-fast’ work and innovation.\nAssessing your clients’ business and technical needs with the ability to identify opportunities for data science to be used and managing clients’ stakeholders’ relationship appropriately.\nSolving problems using data science techniques and in a scientifically robust fashion.\nIdentifying data sources that are relevant to client needs, and related data science concepts that leverage those sources to aid the client.\nWorking with various forms of data (e.g., unstructured, semi-structured or structured; text, time-series or image) and suitably modelling them (e.g., table, key-value pair, graph) for efficient data science use.\nInvestigating and analysing data to see ‘the wood from the trees’ and drilling down to the ‘whys’ of the data.\nApplying statistical and evidence-based techniques to inform insights and actions from the data.\nCommunicating technical content at the right level both internally and to customers.\nPresenting to the client, using data science tooling and investigation, a ‘story’ of the data. \nBuilding maintainable code that use existing data science libraries, implement existing data science techniques, or implement novel techniques.\nDesigning, evaluating, and implementing on-premise, cloud-based and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks and proposing and implementing their mitigations).\nDeveloping scalable models and algorithms that can be deployed into production environments.\nApplying ethical principles in handling data.\nAccurately delivering high quality work to agreed timelines and taking the initiative and knowing how to jump straight in.\nSupporting client engagements, including pitches and presentations.\nHelping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future.\nRepresenting us and our core values: transparent, fair and daring.\nSounds like something you’d enjoy? Here’s a bit more about you:\nYou have 5+ years of degree level industry experience in data science.\nYou have extensive degree level experience in a STEM subject.\nYou have experience of working in a consultancy, engineering, or data industry.\nYou have led client delivery across a range of projects, including data science, data engineering, data security and proven experience in relevant technologies (e.g., Python applied to data science).\nYou have experience working on cloud-based infrastructure (e.g., AWS, Azure, GCP).\nYou have demonstrable continuous personal development.\nYou have strong interpersonal skills.\nYou have experience with using CI/CD tooling to analyse, build, test and deploy your code and proven experience in their technologies.\nYou have experience in database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases).\nYou have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting.\nLocation?\nHybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required.\nWhat’s in it for you?\nIn addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations.\nTime to tell you about us!\nWe are Daintta. We provide deep expertise with technical and business specialists to help clients and organisations secure and protect the UK. In complex environments, we use innovative methods to solve the hardest data challenges to help organisations make more informed and accurate decisions, at scale and faster. We are agile, responsive, independent, and collaborative while our values of Fair, Transparent and Daring guide all our decision making.\nBenefits\nWe believe in supporting our people both professionally and personally. Here’s what you can expect when you join us:\nTime Off:\n25 days annual leave, plus bank holidays\nUp to 5 days annual training leave with a dedicated training budget\nUp to 3 days annual volunteering leave - give back to the community\nCompetitive maternity, paternity, shared parental leave & compassionate leave\nHealth & Wellness:\nComprehensive Private Health Insurance \nEmployee Assistance Programme - 24/7 support services\n£2,000 Flex Cash Allowance, paid pro-rata over the year\nFinancial Benefits:\n5% pension contribution \nDiscretionary company awards and bonuses, based on performance and company targets\nProfessional Development\nUp to £1,000 annual training budget (access to additional training and development budget via business case)\nUp to 5 days annual training leave\n1 professional membership paid annually\nUp to £200 of additional IT budget for new joiners\nPerks\nFree breakfast every Tuesday in the London office\nFortnightly drinks - in London\nRegular social events, quizzes, and guest workshops\nHuckletree perks - including gym and restaurant discounts\n Employee referral programme\nMonthly breakfast club in our Cheltenham office\nSecurity Information\nDue to clients’ requirements, all applications are strictly subject to security clearance requirements relevant to the role.","description_format":"text","description_chars":6608,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Health insurance","Parental leave","Professional development"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-09-12T10:56:33Z"}],"liveness":{"score":51,"band":"ok","label":"Likely open","p_open":1,"p_active":0.678,"p_room":0.75,"age_days":34,"expected_fill_days":42,"reasons":["conf:2","win:late"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/daintta-data-scientist","json_url":"https://alion.io/job/daintta-data-scientist.json","meta":{"generated_at":"2026-09-28T06:40:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4760,"day_limit":5000,"remaining_today":240,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}