{"id":2264895,"url":"https://alion.io/job/paysafe-senior-manager-data-science","title":"Senior Manager, Data Science","company":{"id":51387,"name":"Paysafe","domain":"paysafe.com","url":"https://alion.io/company/paysafe","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HiBob","truth_index":null},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"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":45000,"max_usd":100000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":267},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T13:55:16Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T02:51:16Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Paysafe is a global payments platform powering the experience economy, with a strong focus on the iGaming, video gaming, e-commerce, retail, travel and hospitality sectors. With 30 years of expertise in payment technology, Paysafe helps businesses and consumers lift every experience through seamless, secure payment solutions, including card payments, digital wallets such as Skrill, eCash solutions like PaysafeCard, and a suite of local payment methods. With approximately 2,900 employees across 12 countries and annualized transactional volume of $167 billion in 2025, Paysafe connects people and businesses worldwide through innovative digital payment experiences. Further information is available at www.paysafe.com. It starts here. Have a global impact on the world of payments.\nAs a Senior Manager, Data Science at Paysafe, you will lead and develop a team of Data Scientists while remaining actively involved in the design, development and delivery of advanced analytics, machine learning and AI solutions. Working in a fast-paced global payments environment, you will apply data science to complex business challenges, particularly in payments and fraud prevention, using large-scale transactional, customer, risk and operational data to deliver measurable commercial and operational outcomes.\nThis is a hands-on people leadership role, combining formal team management with direct technical contribution and model delivery. You will be expected to personally develop and deliver machine learning models alongside your team, while providing technical direction, reviewing modelling approaches and ensuring the quality of solutions delivered. You will take ownership of complex or high-priority modelling initiatives, from problem definition and feature engineering through model development, validation and production deployment.\nYou will partner with Product, Engineering, Commercial, Risk, Finance and Operations to translate business needs into scalable data science solutions. This role reports to our Senior Director of Data Science and forms part of a wider Data Science organisation of over 25 data scientists.\nWhat Paysafe stands for:\n\nBeing open and honest.\nKeeping focused.\nOperating with Courage.\nPioneering the future.\nHow we work:\nWe follow a hybrid working model, spending an average of three days per week at our office location. The office is located in Gresham Street next to St Paul’s cathedral with easy access and transport links via St Paul’s, Bank, Cannon Street, City Thameslink, Liverpool Street, Farringdon, Mansion House.\nResponsibilities:\nHands-on Data Science Delivery: Lead and contribute to the design, development, deployment and monitoring of machine learning models, predictive analytics and advanced statistical solutions. Remain hands-on to develop and deploy models, review code, challenge modelling choices, resolve complex technical issues and contribute directly to priority initiatives.\nTeam Leadership and Development: Manage, mentor and develop a high-performing team of Data Scientists. Set clear objectives, provide regular feedback, support career development and create an inclusive environment that encourages collaboration, innovation, accountability and continuous learning.\nTechnical Direction and Quality: Provide technical oversight across the team’s portfolio, ensuring appropriate methodologies, robust validation and high standards of analytical quality. Promote consistent practices for experimentation, documentation, reproducibility, model monitoring and maintainability.\nBusiness-Focused Problem Solving: Translate complex business challenges into practical data science opportunities and ensure solutions deliver measurable value. Balance analytical sophistication with scalability, operational practicality, risk considerations and commercial priorities.\nCross-functional Collaboration: Work closely with Product, Engineering, Commercial, Risk, Finance, Compliance and Operations teams to deliver scalable solutions. Build trusted stakeholder relationships and communicate complex analytical findings clearly to technical and non-technical audiences.\nPlanning and Delivery Management: Plan and oversee multiple Data Science initiatives, prioritise team capacity, manage dependencies and delivery risks, and ensure work is completed to agreed standards and objectives. Escalate material risks and strategic decisions to the relevant Director.\nGovernance and Responsible AI: Ensure Data Science solutions follow internal governance, privacy, security and responsible AI requirements, as well as applicable regulatory and industry standards. Support appropriate model documentation, approval, monitoring and controls.\nInnovation and Continuous Improvement: Identify opportunities to improve Data Science processes, tools and ways of working. Stay current with developments in machine learning, AI and advanced analytics, and assess where emerging approaches could deliver relevant business value.\nCapability Building: Support recruitment, onboarding and workforce planning for the team. Encourage knowledge sharing, reusable assets and stronger collaboration across Data Science, Data Engineering, Analytics and other technical communities.\nQualifications:\n7-9+ years of experience in Data Science, Machine Learning or Advanced Analytics within a commercial environment, with a strong track record of delivering production-grade analytical solutions.\n3-5+ years of people management experience, leading, coaching and developing Data Science, Analytics or Machine Learning professionals, with demonstrated success in building high-performing teams.\nStrong experience in payments, fraud prevention or financial services, with a solid understanding of transaction risk, fraud detection, risk decisioning and the application of machine learning to real-world payment challenges.\nStrong technical proficiency in Python, SQL and modern Data Science tools, with hands-on expertise in machine learning, predictive modelling, statistical analysis and experimentation.\nProven experience developing, deploying and monitoring scalable machine learning and AI solutions, including providing technical leadership across multiple projects and initiatives.\nStrong leadership and stakeholder management capabilities, with the ability to translate complex analytical concepts into actionable business recommendations and influence senior stakeholders.\nDemonstrated ability to balance technical excellence, model performance, governance and operational requirements while delivering measurable business impact.\nFamiliarity with model governance, responsible AI, data privacy and regulatory considerations within financial services or payments environments.\nEducation Qualifications:\nMaster’s degree in Data Science, Artificial Intelligence, Statistics, Mathematics, Computer Science, Economics or a related quantitative field preferred.\nA Bachelor’s degree in a relevant discipline combined with substantial equivalent professional experience will also be considered.\nA strong academic or professional foundation in machine learning, statistical modelling and data-driven problem solving is highly desirable.\nA snippet of what you’ll get in return:\nMake your day work for you with our flexible working hours.\nYou decide what your holiday looks like with the option to buy or sell your holiday and carry over up to 5 days into the next year.\nEnjoy social events on our roof top terrace with views onto St Pauls Cathedral.\nOur fully equipped facilities include showers, hairdryers and straighteners and fresh towels.\nStart your day with a free breakfast, fresh fruit and snacks.\nTake a breather in our dedicated wellbeing room.\nSpend time with those important to you with our enhanced paid family policies.\nTest our products Skrill and Neteller. Upon joining we will award you £50 into each wallet.\nEnjoy our discounts on memberships via vitality including, gyms, leisure centres, yoga/Pilates across the country.\nNeed a new Laptop or TV? We offer support purchasing Apple and LG products via Stormfront technology.\nJoin our six employee-led equality communities and help foster a workplace that celebrates diversity and create opportunities to collaborate and learn.\nGive back to the community with four paid charity days.\nKickstart your weekend early with our summer hours during the months of June, July and August with a 3pm finish every Friday.\nLet’s not forget, we also offer: Private health insurance (pre-existing conditions are included) & dental insurance, income protection, life assurance and more.\nIf you’re successful joining the team, you’ll be meeting our CEO in person during our new joiners breakfast in London - a great opportunity to network with your peers.\nEqual Employment Opportunity\nPaysafe is an equal opportunity employer. We value diversity and are committed to providing a work environment of mutual respect to everyone without regard to race, color, religion, national origin, age, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.","description_format":"text","description_chars":9075,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Dental insurance","Flexible schedule","Health insurance","Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-11T06:18:56Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-10-10T06:21:00+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":71,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.791,"p_room":0.9,"age_days":12,"expected_fill_days":23,"reasons":["conf:2","win:mid"],"computed_at":"2026-10-12T05:34:07Z"},"pay":null,"html_url":"https://alion.io/job/paysafe-senior-manager-data-science","json_url":"https://alion.io/job/paysafe-senior-manager-data-science.json","meta":{"generated_at":"2026-10-12T05:34:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8940,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":51387},"rest":"https://alion.io/mcp/rest/get_company?id=51387"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpaysafe-senior-manager-data-science"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpaysafe-senior-manager-data-science"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpaysafe-senior-manager-data-science"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/paysafe-senior-manager-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpaysafe-senior-manager-data-science"}]}