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Job Location | London |
Education | Not Mentioned |
Salary | 90,000 - 120,000 per annum, pro-rata, inc benefits |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent , full-time |
Senior Manager - Analytics & Data ScienceGlobal Management Consultancy - Digital TeamWorking under an incredible, industry leading female MD in fastest growing team in the consultancyStrategy to implementation to delivery - working directly with c-suiteBe part of entire business transformational change for EVERY clientFast track growth and promotion available year on year£90k - £120k plus up to 40% bonusCentral London / wfhThis is NOT big 4, this is not traditional strategic consultancy where projects are shelved and handed off - this consultancy always engage in small exec lead teams (typically 2- 6 individuals), always with c-level access from the very beginning, workingwith the board to change how a business is run; creating real impact on a business.They do large programmes of work, taking it from strategy to implementation to delivery, rolling their sleeves up and getting their hands dirty, running things from end to end. Youll be delivering real business transformation with digital being their mainfocus for growth moving forward.The services provide tackle operational, digital and financial challenges, including running end to end digital transformations, embedding cyber security solutions and delivering applied analytics for business step change and turn around.We are seeking a number of senior data science experts, with consultancy expertise to join the Advanced Analytics function in either a VP (senior manager level) or SVP (Director) role, working under an incredible senior female leader; energetic and charming,passionate about digital and data driving business transformation, really hands on and works to empower her teams. She comes with a wealth of impressive experience behind her in digital transformational and operational change being former CDO and MD at manyleading management consultancies.Naturally projects vary depending on the client, but will include marketing optimization, geospatial analytics, labour force analysis, leveraging machine learning and AI in manufacturing and supply chain work streams to name a few. You will need to be handson, as well as innovative with a problem solving approach. Youll operate in small, agile, teams with a self-directing style and growth ahead of you as Amelia builds the Advanced Analytics function out. This all comes with lots of support, a collaborativestyle and team focused approach to work.Its also worth noting that you dont have a sales target until you reach MD level, as business development occurs naturally within the team, so there is no pressure to be selling work.In terms of clients, 60% of their customers are in the PE industry or Fortune 100-500 companies, so you will always be working on interesting and varied projects. Their growth plans include doubling their digital team headcount within a year and will aimto continue to do this year on year, so you will be joining at a time of epic growth and huge investment into digital and data expertise.The culture is really entrepreneurial, and if youre doing good work, excelling, operating at the top of your team you can gain promotion year on year too - we have seen one of our most successful placements gain three promotions from VP to Director gradein the space of 3 years.Skills and experience required:Educated to at least degree level in a numerate subject such as engineering, mathematics, statistics, chemistry, physics, machine learning, computer science etc.Advanced hands on skills using tools such as Python, R, Spark, Hadoop, SQL and cloud based platforms such as GCP, Azure and AWS to manipulate and analyse various data sets in large volumesBackground in advanced analytics and data science from consulting or blue chip backgroundConfident and strong presentation skills; ability to bring data to life for senior leaders and non-technical stakeholdersThrives in a pacey, entrepreneurial and high performing environmentStrong team collaboration skills, able to work in a dynamic and solutions focused environment
Keyskills :
senioranalyticsdirectorinsightmodellingmachine learningdata sciencedata scientist