{"id":964894,"url":"https://alion.io/job/aj-bell-senior-data-scientist","title":"Senior Data Scientist","company":{"id":4345,"name":"AJ Bell","domain":"ajbell.co.uk","url":"https://alion.io/company/aj-bell","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","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":["Manchester, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":76000,"max_usd":143000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true},{"name":"Snowflake","optional":true},{"name":"Streamlit","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-09-15T14:03:45Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-01T03:22:58Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"The Senior Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder combines analytical rigour with commercial judgement, stakeholder engagement and strong written communication, ensuring that analysis results in practical business decisions.\nThe kind of person we are looking for\nCurious, commercially minded and highly analytical. The successful person will be equally comfortable working in Python, SQL and statistical models, sitting with a senior stakeholder to clarify an uncertain question, and stepping back to explain the “so what?” in plain language. Most importantly, they will create clarity from ambiguity, work at pace and turn analysis into decisions.\nCompetence, knowledge and skills\nEssential\nSignificant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional.\nStrong analytical and problem-solving skills, including the ability to create clarity from ambiguous business questions.\nAdvanced Python skills for data analysis and modelling, together with strong SQL capability.\nPractical experience applying statistical and data-science techniques to business problems, including several of forecasting, regression, classification, segmentation and propensity modelling.\nSound understanding of statistical concepts, model evaluation, uncertainty, bias and the limitations of analytical approaches.\nExperience working with large or complex datasets and performing data discovery, validation and exploratory analysis.\nExcellent requirements-gathering, stakeholder-management and project-planning skills.\nExcellent written communication, with experience producing analytical papers or recommendations for senior audiences.\nAbility to translate complex analysis into concise conclusions, commercial implications and practical actions.\nAbility to iterate quickly, prioritise effectively and provide useful initial answers without waiting for perfectly defined requirements.\nDesirable\nExperience with time-series techniques such as ARIMA, exponential smoothing or related forecasting methods.\nExperience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models.\nExperience analysing financial, operational, customer or risk data.\nExperience using machine-learning techniques beyond traditional statistical analysis.\nExperience with Snowflake or another cloud data platform, Streamlit, and Power BI\nExperience in financial services or another regulated, data-rich environment.\nAbout AJ Bell\nAt AJ Bell, we believe investing should feel good. Whether you're looking for an ISA, pension or dealing account, whether you want to invest with the help of a financial adviser or do it yourself, we have easy-to-use solutions to suit people from all walks of life.\nWe're one of the UK's fastest-growing investment platform businesses, trusted by everyone from professional financial advisers to first-time investors.\nToday, over 762,000 customers trust us to manage more than £121.5 billion of assets. By continually striving to make investing simpler and more accessible, we're helping more people take control of their financial futures.\nWe're proud to be recognised as one of the UK's Best 100 Companies to Work For for six consecutive years, and a Great Place to Work® in 2025 and 2026, a reflection of our supportive and collaborative culture.\nWhat we offer\n26 days holiday, increasing with service, plus buy/sell scheme and bank holidays \n7% pension with matched contributions \nDiscretionary bonus scheme \nShare schemes, including free shares and BAYE \nHealth Cash Plan and discounted private healthcare \nFree onsite gym \nEnhanced family leave, subject to qualifying criteria \nTravel and bike loan schemes \nEmployee Assistance Programme \nLife at AJ Bell\nRegular social events including summer and Christmas parties\nLearning and development opportunities tailored to you\nCasual dress code\nFriendly, supportive team environment\nOur ways of working\nAt AJ Bell, our people are the heart of our culture. We believe in building strong connections by working together. That's why we offer a hybrid working model, where you'll spend a minimum of 50% of working time per month in the office. For new team members, an initial period will be spent full-time in the office to help you immerse yourself in our business and build valuable relationships with your colleagues.\nInclusion & diversity\nWe’re committed to creating an inclusive environment where everyone feels respected, supported and able to be themselves at work.\nWe welcome applications from all backgrounds and make hiring decisions based on skills, experience and potential.\nAgency information\nThis vacancy is being managed exclusively by our in-house Recruitment team. We are not partnering with recruitment agencies on this opportunity and will only accept applications submitted directly by candidates.","description_format":"text","description_chars":5149,"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":["Hybrid work","Parental leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Investing Apps & Robo-Advisors","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-09-16T13:24:47Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.781,"p_room":0.9,"age_days":15,"expected_fill_days":28,"reasons":["conf:2","velocity","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/aj-bell-senior-data-scientist","json_url":"https://alion.io/job/aj-bell-senior-data-scientist.json","meta":{"generated_at":"2026-10-01T19:07:09Z","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":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-02T00:00:00Z"}}}