{"id":2137507,"url":"https://alion.io/job/deloitte-manager-data-science-and-machine-learning-audit-and-assurance","title":"Manager, Data Science and Machine Learning, Audit and Assurance","company":{"id":272,"name":"Deloitte","domain":"deloitte.com","url":"https://alion.io/company/deloitte","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":86,"open_postings":12,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-25T05:49:26Z"}},"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":97000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":339},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-09T02:13:55Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-26T03:40:54Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Connect to your Industry\nOur Audit and Assurance practice encompasses skills across regulation and finance with a deep analytics capability. We harness these to provide Assurance to those charged with governance, serving the public interest. Working in Assurance means you will have an opportunity to work alongside leading experts, as we help build and enhance trust between businesses and the public, by responding to emerging issues and protecting the public interest. Providing assurance to help businesses become more resilient, agile and better prepared for the future.\nTo be resilient, businesses must be ready to respond to current and future challenges and opportunities. They are increasingly needed to be more transparent with their reporting, to drive trust and confidence in the market, and protect the wider public interest.\nAssurance builds, maintains and develops confidence. We provide independent assurance by assessing the risks and underlying processes, providing conclusions as to which risks are being managed and mitigated in line with the business’ appetite for risk. Deloitte’s assurance offerings help those charged with governance to understand their business and build trust amongst key stakeholders and regulators.\nAnalytics and Data Science\nHigh quality and transparent reporting on data use and compliance of data handling is critical for both regulatory compliance and for rebuilding the trust of the public. Our dedicated Analytics Group specialises in helping clients understand and effectively use their data. As a data science team, we work seamlessly with the diverse data and analytics specialist teams to create solutions to internal and client projects in a fast-paced environment.\nConnect to your career at Deloitte\nDeloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.\nWhat brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact.These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.\nConnect to your opportunity\nWe are looking to strengthen our team by the hiring of focused, aspirational, and collaborative practitioners, and as such we are offering the opportunity to join as a Data Science and Machine Learning Manager to support this challenging and rapidly expanding business. Deloitte offers a unique career opportunity in a supportive, challenging, and fast-growth environment.\nThe successful candidate will have responsibility for delivery across a range of Audit and Assurance analytics offerings, including:\nProviding data analytics/data science services to deliver meaningful insights to our clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI.\nDevelopment and delivery of new and innovative data science and machine learning tools and solutions to support evolving audit and assurance needs.\nHelping the team to support our clients in all areas of large data handling, manipulation, analysis, and modelling.\nWorking effectively in diverse teams within an inclusive team culture where people are recognized for their contribution.\nConnect to your skills and professional experience\nTo qualify for this opportunity, you must have the following skills:\nEssential:\nStrong problem-solving skills, and capable of generating original solutions to real-world problems.\nExperience of coaching junior data scientists/analysts.\nExperience in reviewing code and documentation to a high standard.\nExperience in using Python (pandas, numpy, scikit-learn).\nEnd-to-end experience of managing multiple data science and analytics projects in different industries and with different types of data (text, numerical, categorical).\nExperience in project management experience in a DevOps environment.\nExperience in using cloud environment (e.g. Azure, AWS).\nExperience using Git.\nSolid understanding of mathematics, probability, and statistics.\nDeep knowledge in a range of machine learning techniques (Supervised and unsupervised).\nUnderstanding of Large Language Models, Generative AI frameworks, prompt engineering, fine tuning, resource augmentation.\nStrong communication and data presentation skills with the ability to build convincing recommendations and sell these to a non-technical audience.\nSelf-driven, able to work independently yet acts as a team player\nAble to apply data science principles through a business lens.\nDesirable (ideally, you’ll have experience of one or more of the below areas):\nExperience of using R.\nFamiliar with, preferably experienced in, Deep Learning (e.g. RNNs, CNNs) or NLP techniques (e.g. TF-IDF, word-embedding).\nExperience developing Generative AI projects.\nExperience of exercising software engineering best practices. E.g. test-driven development, smart data structure and algorithm selection.\nExperience in using cloud environment (e.g. Azure, AWS).\nExperience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.\nExperience using Excel, SQL, Power BI, Tableau.\nExperience using Docker and Kubernetes.\nExperience working in an Agile development team.\nExperience delivery data science for financial industry or large/complex organisations.\nConnect to your business - Audit & Assurance\nWe know it’s not just about the numbers. Often, we let the technology take care of those. It’s about the creative and collective thinking or our people. That’s where the true insight is found. We’re redefining the future of audit. Come join us.\nAssurance\nBusinesses need to be resilient and transparent in their reporting to build trust and confidence. Assurance practitioners play a key role in achieving this through independent review and challenge of management’s views on a range of regulatory and reporting requirements, whether financial, operational or compliance in nature.\nPersonal independence\nRegulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships). This can mean that you and your \"Immediate Family Members\" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with SEC audit clients of the firm whilst being employed by the firm). The recruitment team will provide further detail as you progress through the recruitment process or you can contact the Independence team upon request.\nConnect with your colleagues\n“I assumed the culture would be very corporate; however, I have worked with people who have different personalities and approaches to the way they work. We do have a clear brand, but everyone is encouraged to be themselves.” - Alice, Audit and Assurance\n“The team I support works with one of Deloitte’s biggest clients. To be involved with such an influential client so early in my career is really rewarding; I love it.” - Owen, Audit and Assurance\nThe progression at Deloitte is steady and I’ve always felt in control of my own career path. You can learn something new here every day which I really enjoy. - Ali, Audit and Assurance\nOur hybrid working policy\nYou’ll be based in London with hybrid working.\nAt Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You’ll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role.\nOur commitment to you\nMaking an impact is more than just what we do: it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.\nWe want you. The true you. Your own strengths, perspective and personality. So we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we’ll take your wellbeing seriously, too. Because it’s only when you’re comfortable and at your best that you can make the kind of impact you, and we, live for.\nYour expertise is our capability, so we’ll make sure it never stops growing. Whether it’s from the complex work you do, or the people you collaborate with, you’ll learn every day. Through world-class development, you’ll gain invaluable technical and personal skills. Whatever your level, you’ll learn how to lead.\nConnect to your next step\nA career at Deloitte is an opportunity to develop in any direction you choose. Join us and you’ll experience a purpose you can believe in and an impact you can see. You’ll be free to bring your true self to work every day. And you’ll never stop growing, whatever your level.\nDiscover more reasons to connect with us, our people and purpose-driven culture at deloitte.co.uk/careers\nRTWPROG WPFULL SLAUDA BAASSCE","description_format":"text","description_chars":10129,"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"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-09T02:13:55Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-24T06:24:00+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.514,"p_room":0.55,"age_days":16,"expected_fill_days":12,"reasons":["conf:1","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/deloitte-manager-data-science-and-machine-learning-audit-and-assurance","json_url":"https://alion.io/job/deloitte-manager-data-science-and-machine-learning-audit-and-assurance.json","meta":{"generated_at":"2026-10-26T04:49:44Z","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":6463,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":272},"rest":"https://alion.io/mcp/rest/get_company?id=272"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeloitte-manager-data-science-and-machine-learning-audit-and-assurance"},{"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%2Fdeloitte-manager-data-science-and-machine-learning-audit-and-assurance"},{"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%2Fdeloitte-manager-data-science-and-machine-learning-audit-and-assurance"},{"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/deloitte-manager-data-science-and-machine-learning-audit-and-assurance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeloitte-manager-data-science-and-machine-learning-audit-and-assurance"}]}