Senior Analyst - AI/ML

Job Title: Senior Analyst - AI/ML

GCL: D3

Introduction to role

We are seeking a seasoned AI/ML Specialist with expertise in building data-driven solutions for IT Operations Analytics (ITOA). You will demonstrate your knowledge in AI/ML, data engineering, and observability tools to create robust models and frameworks that improve IT infrastructure reliability, reduce operational downtime, and enhance decision-making. This role requires deep technical expertise combined with hands-on experience in tools like Splunk, Snowflake, Fivetran, DBT, Airflow, DataIku, and Collibra. As part of our forward-looking IT operations team, you will develop and deploy AI/ML models that monitor, predict, and optimize IT systems at scale, ensuring our infrastructure remains reliable, efficient, and future-ready.

Accountabilities

• Design and develop machine learning models for anomaly detection, predictive analytics, root cause analysis, and failure prevention.
• Guide the development of technical roadmaps and strategies for AI platforms and large-scale LLM integration, driving innovation in AI applications and tools.
• Research and explore new NLP techniques and technologies to stay at the forefront of the field.
• Implement self-healing systems by integrating AI/ML models with IT automation platforms (e.g., Ansible, ServiceNow).
• Leverage tools like Snowflake, DBT, DataIku, and Fivetran to optimize data pipelines and enhance data observability.
• Develop dashboards to visualize AI/ML model insights and provide actionable recommendations for partners.
• Work with large-scale IT operational data (logs, metrics, events) to extract insights.
• Collaborate with multi-functional teams to define project requirements and work.
• Communicate effectively with partners to understand their needs and provide technical insights.
• Present project updates, results, and recommendations to senior management.
• Handle data effectively from different sources and build scripts that will make the custom data platform flexible and scalable across data sets.
• Pilot and implement innovative AI technologies to enhance the organization's observability framework.
• Familiarity with MLOps practices (CI/CD pipelines for ML).
• Make use of specialist tools and statistical methods to extract the data needed, research new ways to make use of the data, respond to data-related queries and analyze to identify trends.
• Strong problem-solving and critical-thinking skills to diagnose and resolve complex IT issues.
• Good communication and presentation skills to convey technical insights to partners.

Essential Skills/Experience

• 9-12 years of IT experience but 3-5 years of relevant data and insight experience.
• Solid experience in EDA (Exploratory Data Analysis), SQL, and programming with Python/R.
• Higher education with demonstrated capability to perform in a complex IT environment.
• Prior experience in an Information Services/Information Technology environment with good business acumen.
• Experience of working within a quality and compliance environment and application of policies, procedures, and guidelines.
• Evidence of designing, testing, and maintaining solutions.
• Experience of sharing knowledge/information and implementing any changes.
• Well versed in ITIL V3.0 practices and process.
• Good experience and/or awareness and/or drive in/to create actionable insights for IT Operations from IT systems that can support the operations of a world-class IT function.
• Global engagement exposure or working in a distributed team.
• Good team player and partner engagement.
• Experience of Data Analysis enabling tool kits.
• Data Handling (ETL), Data Insight Experience.
• Statistical Methods.
• Snowflake, DBT, Collibra.
• PowerBI, Grafana.
• DBT and DataIku.
• AI and Machine Learning implementation experience.
• Python or R.
• Awareness of the end-to-end processes and activities in the build and support of Data solutions.
• Experience in the use of metadata cataloguing tools.

Desirable Skills/Experience

• Degree level education in computer science or Masters.
• Demonstrate initiative, strong customer orientation, and cross-cultural working.
• Splunk (Search expert, data science analyst, developer role).
• GxP, SOX compliance.
• Quality and Audit exposure (D).
• Experienced in applying a risk-based methodology to data and information management.

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, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, experiment with leading-edge technology, and tackle challenges that might never have been addressed before. Our dynamic environment offers countless opportunities to learn and grow while making a meaningful impact.

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.