Associate – Data Scientist Full-time

Associate – Data Scientist

Are you ready to dive into the world of commercial analytics and make a real impact? As a Data Scientist, you'll partner with cross-functional teams to tackle business challenges head-on using data-driven solutions. Your mission will be to design, develop, and deploy advanced AI and machine learning models, leveraging diverse healthcare datasets to uncover actionable insights and optimize business processes.

Role: Individual contributor role.

Location: Manyata Tech Park, Bangalore.

Introduction to role:

Quantitative bachelor's degree from an accredited college or university is required in one of the following or related fields: Engineering, Data Science, Statistics, Applied Math, Computer Science, Operations Research, Management Science, Economics.

Accountabilities:

• Good communication and business interaction
• Good years of recent experience and proficiency with SQL, Python, PySpark, Snowflake
• Good working knowledge in data visualization tools (Qlik and Power BI)
• Experience in MS Office products – Advanced Excel and PowerPoint skills required
• Good knowledge in IQVIA or Komodo Sentinel datasets and understanding towards pharma/healthcare landscape (along with primary and secondary data sets is a benefit)
• Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets.
• Good in analytical thinking and a data aggregator
• Expertise in managing and analyzing a range of large, secondary transactional databases is required.
• Should have Excellent Analytical, Problem-Solving ability. Should be able to grasp new concepts quickly.
• Ability to derive, summarize and communicate insights from analyses.
• Organization and time management skills

Essential Skills/Experience:

• Bachelors' in Engineering or Technology or equivalent experience in a quantitative field such as Computer Science, Data Science, Engineering, Information Systems, or Economics, with solid foundation in statistical analysis and modeling.
• 3 to 5 years' experience in statistical and predictive modeling, ideally within consulting or fintech or related industries.
• Excellent communication skills and the ability to convey complex findings to technical and non-technical audiences.
• Deep experience with analytic tools and languages, such as Python, Dataiku, Databricks, Qlik, and Power BI; strong familiarity with machine learning and AI methods.
• Proven skills in building and extracting insights from statistical models (e.g., linear regression, clustering, random forest, time series, and neural networks).
• Hands-on experience working with EHR, administrative claims, and laboratory data (such as Prognos, IQVIA, Komodo, or Symphony claims data).
• Technical knowledge of database structures, query languages, structured programming, and large dataset querying using ANSI SQL; experience with relational databases.
• Role is primarily office-based and requires use of a computer, communication via phone/video/messaging, problem-solving, collaboration, and general availability during standard business hours, with or without accommodations.

Desirable Skills/Experience:

• Strong interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners.
• Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
• Strong organizational skills and time management; ability to manage diverse range of simultaneous projects.
• Domain experience in healthcare, or biopharmaceutical industries.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca's Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each other's successes and take pride in giving back to our communities. Here, your career is more than just a path; it's a journey to making a difference where it truly counts.

Ready to make a difference? Apply now to join our team!

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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.