Data Scientist - QuantumBlack

☞ McKinsey & Company

看过: 101

更新日: 30-05-2024

位置: Gurgaon Haryana

类别: 保健/医疗

行业: Management Consulting

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工作内容

Qualifications

  • Master’s degree or PhD level in the field of computer science, machine learning, applied statistics, mathematics
  • Experience in statistical modelling and machine learning techniques
  • Programming experience in at least two of the following languages: R, Python, Scala, SQL
  • Experience in applying data science methods to business problems
  • Experience in applying advanced analytical and statistical methods in the commercial world
  • Good presentation and communication skills; ability to explain complex analytical concepts to people from other fields

Who You’ll Work With

As a data scientist at QuantumBlack, you will work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects using mathematics, statistics and machine learning to derive structure and knowledge from raw data across various industry sectors.
In this role, you’ll be aligned to one of our practices, Pharma & Medical Products (PMP) or Global Energy & Materials (GEM), to work on similar industry clients.
Our Pharma & Medical Products practice focuses on helping clients bring life-saving medicines and medical treatments to patients. You will work with the advanced analytics team across research & development (R&D), operations and commercial to build and scale digital and analytical approaches. This practice is one of the fastest growing practices and is comprised of a tight-knit community of consultants, research, solution, data and practice operations colleagues across the firm. PMP is also one of the most globally connected sector practices, offering ample global exposure.
In our Global Energy & Materials practice, you will work with our advanced analytics team. Our GEM practice supports clients in a wide range of industries including chemicals, steel, mining, pulp & paper, electric power and oil & gas, among others on the way to operational excellence. Energy and materials industries are big and important to the world’s economy and you as a key player will face significant challenges such as meeting growing demands, operating productively, and managing gigantic capital investments. McKinsey has an unparalleled reputation in these industries across the world and today serves most of the top players globally.
GEMx and PMPx are the practice’s assetization arm focused on creating reusable digital and analytics assets to support our client work. They work directly with clients to build and scale digital and analytical approaches to addressing their most persistent priorities. E.g. PMPx builds and operates tools that support senior executives in pharma and device manufacturers, for whom evidence-based decision-making and competitive intelligence are paramount.
Over the last few years, McKinsey has developed strong digital and analytics capabilities to help our clients transform their businesses. Being one of the largest groups in the firm, this team comprises of data scientists, data engineers, product managers, tech architects, design experts, among others.
As part of our group, you will join a global practice solving problems for large organizations in our GEM practice and building their capabilities for sustained impact.

What You’ll Do

As a Data Scientist at QuantumBlack in Gurugram, You will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role Responsibilities
  • Work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems
  • Develop data science products and solutions for clients as well as for our data science team
  • Write highly optimized code to advance our internal Data Science Toolbox
  • Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
  • Add real-world impact to your academic expertise, as you are encouraged to write ‘black’ papers and present at meetings and conferences should you wish
  • Attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers.
  • Work within one of the largest and most advanced data science teams in London, support the Lead Data Scientists to develop data science products
What you’ll learn
  • How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
  • Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
  • Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data
  • Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimize code for model development and scale it
  • Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualizations
  • Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
  • Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
  • Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
  • Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Visit our Careers site to watch our video and read about our interview processes and benefits
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
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最后期限: 14-07-2024

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