{"id":1459704,"url":"https://alion.io/job/awtg-lead-data-scientist","title":"Lead Data Scientist","company":{"id":1907331,"name":"AWTG","domain":"awtg.co.uk","url":"https://alion.io/company/awtg","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"D","score":43,"open_postings":43,"ghost_share":0.953,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"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":"Machine Learning","optional":false},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-05-15T11:32:24Z","employer_posted_date":"2026-05-15","last_verified_at":"2026-09-29T18:21:10Z","board_verified":false,"closed_at":null,"days_open":139,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":138},"description":"Role overview\nThe Lead Data Scientist will act as a leader, coach and champion for data science, managing teams, setting direction and building organisational capability. The role ensures data science work is technically strong, ethical, scalable and aligned to client and business outcomes.\nYou will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users.\nKey responsibilities\nLead and manage data science teams or workstreams, setting clear direction and delivery priorities.\nShape data science strategy, standards and reusable approaches across products, services or programmes.\nCoach data scientists and multidisciplinary teams in methods, tools, responsible AI and delivery practices.\nOversee complex modelling, analytics and machine learning work, ensuring appropriate validation and assurance.\nWork with senior stakeholders to identify opportunities where data science can create measurable value.\nCollaborate with product, engineering, architecture and delivery leads to deploy and maintain scalable solutions.\nEssential skills and experience\nStrong leadership experience within data science, analytics, AI or machine learning delivery teams.\nBroad knowledge of data science techniques, tools, use cases, risks and operational considerations.\nAbility to set direction, manage priorities and communicate complex technical topics to senior stakeholders.\nExperience assuring data science outputs, including model quality, ethics, privacy and governance.\nStrong coaching and mentoring skills with the ability to build capability across teams.\nExperience working with data engineers and software teams to move solutions from prototype to supported delivery.\nDesirable skills and experience\nExperience with enterprise AI adoption, MLOps, cloud architecture, NLP/LLMs or advanced analytics platforms.\nExperience managing mixed teams of data scientists, analysts, engineers and product specialists.\nExperience in client-facing consultancy or public-sector digital transformation.\nWhat success looks like\nData science teams have clear direction, strong standards and effective delivery practices.\nSenior stakeholders understand the value, risks and opportunities of data science work.\nData science outputs are ethical, robust, scalable and aligned to organisational priorities.","description_format":"text","description_chars":2374,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Information Technology","Science & Engineering"],"lifecycle":[{"event":"open","at":"2026-09-29T11:41:06Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.189,"p_room":0.28,"age_days":138,"expected_fill_days":24,"reasons":["conf:35","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/awtg-lead-data-scientist","json_url":"https://alion.io/job/awtg-lead-data-scientist.json","meta":{"generated_at":"2026-10-01T22:07:03Z","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":4825,"day_limit":5000,"remaining_today":175,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}