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    Data Analysis Scientist - London, United Kingdom - LEK

    LEK
    LEK London, United Kingdom

    5 days ago

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    Description
    London Office - Data Scientist - 2-3 yrs experience

    Consulting is a global strategy consulting firm that addresses the most critical commercial issues for the leaders of some of the world's most successful businesses.

    We are uncompromising in our approach to help clients make better decisions at crucial moments, changing the trajectory of their enterprise, delivering improved business performance and creating greater shareholder returns.

    Our teams combine our core capabilities of research, benchmarking, modelling, data & analytics and strategy development to create game-changing insights and practical solutions that seize competitive advantage and unlock new growth opportunities.

    K.

    specialises in Strategy and Mergers & Acquisitions (M&A) support with clients across the full range of corporates and private equity.

    We are expert in a wide range of industries, including Life Sciences and healthcare, retail and consumer, financial services, industrials, energy and transportation.

    s Data and Analytics practice works with clients to help them unlock the value of Data & Analytics as well as work alongside project teams in solving a range of analytical problems, enabling L.As part of our rapidly growing practice, you will be working alongside an experienced team to develop cutting edge solutions to our clients' toughest commercial problems and help them successfully adopt Data & Analytics.

    Our collaborative approach to analytics is unique: firm-wide we leverage a high-powered self-service toolkit to build the analysis that underpins our commercial recommendations.

    In addition to advising clients directly, as a Data Scientist, you will be working alongside these teams, executing analysis, providing guidance, training, and coaching, as well as building solutions to the most complex challenges.

    Scope, design, execute and deploy complex analysis to solve our clients' commercial problems
    Analytical needs include data aggregation / creation, data cleaning / manipulation, deploying data science techniques (e.g., machine learning, predictive modelling, etc.) Advising project teams on analytical approaches and providing coaching to junior consultants on applying data science techniques
    Collaborate with a variety of stakeholders and use your technical expertise to continuously innovate on the IP toolkit, service lines and proprietary data assets we can offer
    Create production quality ML pipelines to develop and deploy scalable data science products
    Support development and delivery of client proposals where data science is critical to the scope of work. s thought leadership and publications within commercial analytics, data science and AI
    Stay up to date on best-in-class software, tools, and techniques to ensure that we can provide clients with best-in-class solutions

    You will be joining a growing team with strong senior sponsorship, with the opportunity to shape your role as you progress.

    The Data Scientist role suits anyone with a passion for learning and experimenting with new technologies and connecting these technologies to commercial outcomes.

    In addition to technical skills, we are looking for bright and driven people who want to use analytics within high-impact commercial contexts, and help others do the same.

    A minimum of 2-3 years of experience in data science applied to solve commercial problems
    Degree in a quantitative and/or business discipline preferred, examples include Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics
    Strong knowledge, experience, and fluency in a wide variety of tools including Python, R, Spark, SQL, Azure
    familiarity with cloud database such as Snowflake and analytical tools such as Alteryx and Tableau preferred
    Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modelling, NLP
    comfortable with best data acquisition and warehousing practices
    Experience with commercial business analytics solving strategic problems
    Agile, DevOps, git, CI/CD) is a plus

    We are a technology agnostic business, and the technologies you will work with will vary from project to project depending on clients' needs.

    A willingness to learn and adapt to new technologies is paramount.
    Opportunity to build architecture to support solving key commercial problems, usually working with C-suites, Boards, Private Equity, and investment funds
    Dedicated time and support for development through both a firm-wide Professional Development programme and a personalised development plan
    Automatic enrolment into valuable profit-sharing scheme
    Range of office and team social events and activities
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