Bain & Company Inc

Senior Manager, Data Science

Job Location DK-Copenhagen
Job ID
Posted Date
Advanced Analytics
Regular Full-Time
Location : Location



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  • The Advanced Analytics Group (AAG) is a team of experts in data science, engineering, marketing science, operations research and primary market research. The Data Science Senior Associate works with Bain’s consulting teams to provide high quality results for our clients.
  • The candidate will also work to advance AAG’s and Bain’s analytic and research capabilities and provide training to the consulting staff and clients as needed.
  • The person in this role will need the ability to:
    • Communicate with and educate both senior and junior colleagues to further embed and develop data science and analytics across the firm and within our clients across a variety of sectors
    • Translate business objectives into data and analytics solutions using appropriate data engineering, analytics, and visualization applications.




  • This is an opportunity to be a key leader in Bain’s expanding data science capability area with a specialization within Commercial Excellence and Pricing. This position will be part of the Advanced Analytics Group (Bain’s team of data science, engineering, marketing science, operations research and primary research experts).   
  • Responsibilities will include working closely with the Advanced Analytics Group (AAG), Bain Partners, Bain Practice Areas, and the Technology Services Group (TSG) to extend and innovate our data and analytics capabilities.
  • This will include helping formulate and driving our evolving strategy on how to best support our clients on large data/heavily analytic initiatives with emphasis on Commercial Excellence and pricing.
  • Serve as Advanced Analytics expert on Advanced Analytics strategy cases broadly, but with emphasis on Commercial Excellence and pricing.
  • Work with consulting teams and clients to understand business problems, translate them into data science projects and appropriately prioritize and execute.
  • Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions for Bain clients across a variety of sectors;
  • Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering, analytics, visualization & dashboard applications
  • Help develop Advanced Analytics Intellectual Property and identify areas of new opportunity for data science and analytics for Bain and its clients
  • Communicate with and educate both senior and junior colleagues to further embed data science and analytics across the firm and within our clients;
  • Advise Bain clients and consulting teams on data strategy, analytics strategy, and data science best practices
  • Manage local Data Scientists and be part of creating an analytics community in Bain Nordic
  • Help to increase consulting staff’s knowledge of Advanced Analytics and Data Science.
  • Provide training, documentation and other assistance to Bain’s consulting staff to support and expand the use of data science analytics.
  • Develop and/or implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets.
  • Develop, prototype and test machine learning algorithms on data sets that can range from a few data points to billions.
  • Train relevant AAG team members to support big data/data science initiatives
  • Develop relationships with external data and analytics vendors and interact with as needed.
  • Keep abreast of new and current statistical methodologies, machine learning and technologies.



  • 6+ years’ experience in data mining, predictive modelling, machine learning, statistical modelling, large scale data acquisition, transformation, and cleaning, both structured and unstructured data
  • Track record of leading and collaborating on strategic initiatives.
  • Strong team and business communication skills – can walk through approach with technical clients or explain tricky concepts to non-technical people
  • Ability to collaborate with people at all levels and with multi-office/region teams.
  • Must thrive in a fast- paced environment and be able to work independently.
  • Experience in some of machine learning frameworks and tools (e.g. scikit-learn, mlr, caret, H2O, TensorFlow, MXNet, PyTorch, CNTK, MLlib). 
  • Proficiency with data wrangling, visualization and modelling in either R or Python is required.
  • Examples of domain expertise in which we are interested is: predictive modelling, churn analysis, time series forecasting, computer vision, text mining, recommender systems, market basket analysis, segmentation, graph analytics, natural language processing and text analytics.
  • Proficiency in SQL is required and experience in relational databases/data warehouses is required.
  • Agile way of working.
  • Work location will be Copenhagen but travel will be required in the Nordics and across EMEA.
  • Fluent proficiency in spoken and written English is required– Danish language is a strong plus.

The ideal candidate may also have other complimentary skill sets including:

  • Strategic consulting experience a plus
  • Familiarity with NoSQL data stores is a plus
  • Experience with tools in the distributed computing, GPU, cloud platforms and Big Data domains is a plus (e.g. GCP, AWS, MS Azure, Hadoop, Spark)
  • Experience in managing a data science team is desired
  • Familiarity with other analytical software such as SAS is a plus.
  • Experience with dashboards, business intelligence tools, and visualization solutions (e.g., Tableau, Qlik, Shiny, Dash) is desired
  • Experience with Git and modern software development workflow is a plus
  • Experience with containerization such as Docker is a plus





Irrespective of an individual’s specific background, the successful candidate will be:

  • Collaborative – someone who knows how to work with and through others to drive results and make change happen, and is customer service oriented
  • Entrepreneurial, proactive, and productive – someone who knows how to prioritize what needs to be done and rallies colleagues to get things accomplished; “roll up the sleeves” type of attitude
  • Bright – both insightful and creative, with strong problem-solving skills and pragmatic, with a practical, “real-world” sense of what is actually “do-able”. Possesses an affinity for data-driven insights to make decisions, and able to harness knowledge and expertise of the best content to support the Practice
  • Articulate and compelling in his/her oral and written communication skills; engaging and concise – with interpersonal “presence”; adaptable across executive, technical and Bain audiences
  • Energetic, with drive, enthusiasm, and natural skills in relationship development – ability to develop an extensive network of relevant relationships both internally and externally, as required
  • Inspirational Leadership - track record of successfully managing high-performing team members, motivating and developing colleagues above and below their own tenure
  • A great colleague and teammate - passionate about the task at hand and fun to be around; someone with whom colleagues and clients go out of their way to work with




Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future.

Across 63 offices in 38 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a gold rating from EcoVadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 2% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.


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