- Work with specialists skills range from mathematics to computation.|Rise to the challenge of shaping the future of an evolving business in the tech.
About Our Client
It is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. We're dedicated to being a Great Place to Work.
Job Description
- Analyze and organize raw data
- Build data systems and pipelines
- Evaluate business needs and objectives
- Interpret trends and patterns
- Conduct complex data analysis and report on results
- Prepare data for prescriptive and predictive modeling
- Build algorithms and prototypes
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Identify opportunities for data acquisition
- Develop analytical tools and programs
- Collaborate with data scientists and architects on several projects
The Successful Applicant
Non-negotiable Skills Required.
- Strong knowledge of programming in Python for 3+ years.
- Well-versed with SQL.
- At least 2 years of experience in AWS technologies, Working experience in one or more of the AWS technologies.
- The documented ability to deliver innovative solutions in an applied environment related to at least one of the following areas: ETL, Data Pipeline, and Workflow.
- Hands-on experience using Spark.
- High level of competence in global and cross-skilled collaborative working.
What's on Offer
A team of deep specialists, our skills range from mathematics to computation. Our diversity is our strength. We turn complex information into life-changing and practical insights, every day. Our progressive operating model means that we stay at the forefront. Evolving and learning from what we're seeing externally. We impact patients' lives. Empowering and enabling the business to run faster and better, we play a part in improving lives across the world.
Contact: Arya Parimoo
Quote job ref: JN-072022-5670920