Analyst - Data Scientist
AstraZenecaIndia - chennaiUpdate time: June 24,2021
Job Description

JOB TITLE: ANALYST - DATA SCIENTIST

CAREER LEVEL: C3

Leverage technology to impact patients and ultimately save lives

Do you have expertise in, and passion for, information technology? Would you like to apply your expertise to impact the IT strategy in a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!

ABOUT ASTRAZENECA

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that

focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work.

ABOUT OUR IT TEAM

It’s a dynamic and results-oriented environment to work in – but that’s why we like it. There are countless opportunities to learn and grow, whether that’s exploring new technologies in hackathons, or redefining the roles and work of colleagues, forever. Shape your own path, with support all the way. Diverse minds that work cross- functionally and broadly together.

ABOUT THE ROLE

  • Strong analytical capabilities
  • Ability to work with large and complex datasets using various database management tools, including excel, SQL, etc. and to connect data to business decisions
  • Experience working with R/Python majorly on the data science functions and packages
  • Good experience in working with basic to complex algorithms on AI/ML
  • Ability to handle ambiguity and change effectively, and working in an Agile environment
  • Ability to communicate with the Global Stakeholders
  • Good experience in working on the Global Supply Chain functional areas, understanding the KPI, analyzing the functional data and support business in decision making
  • Ability to effectively present complex information to senior leaders

ESSENTIAL SKILLS REQUIRED

  • At least 3-6 years of work experience in the Data Science, handling complex datasets
  • Strong analytical capabilities and good understanding of the business context in which data is being reported
  • Ability to work with large and complex datasets using various database management tools, including excel, SQL, etc.
  • Ability to interpret the algorithms and expertise to choose the best suitable algorithm for the data
  • Experience working with different datasets like Demand forecasting, inventory management, Customer service, etc.,
  • Ability to meet competitive deadlines
  • Ability to liaise with multiple partners across teams/regions/disciplines and successfully demonstrate the inputs that they might have to offer
  • Ability to communicate with the Global Stakeholders
  • Good experience in working on the Global Supply Chain functional areas, understanding the KPI, analyzing the functional data and support business in decision making

SO, WHAT’S NEXT?

Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.

WHERE CAN I FIND OUT MORE?

Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Date Posted

23-Jun-2021

Closing Date

22-Jul-2021

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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