A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries helping them shape their hybrid cloud and AI journeys. With support from our strategic partners robust IBM technology and Red Hat you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting curiosity fuels success. You’ll be encouraged to challenge the norm explore new ideas and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
In this role you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers) where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
- We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights inform business decisions and drive strategic initiatives. This role requires a deep understanding of data analysis statistical modelling machine learning and data visualization.. In this role you will be responsible for architecting and delivering AI solutions using cutting-edge technologies with a strong focus on foundation models and large language models. You will work closely with customers product managers and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot Amazon Code Whisperer etc. is desirable.
- Success is our passion and your accomplishments will reflect this driving your career forward propelling your team to success and helping our clients to thrive.
- Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs ensuring alignment with customer requirements and expectations.
- Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another particularly COBOL to JAVA through rapid prototypes/ PoC
- Documentation and Knowledge Sharing: Document solution architectures design decisions implementation details and lessons learned. Create technical documentation white papers and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI foundation models and large language models. Evaluate emerging technologies tools and frameworks to assess their potential impact on solution design and implementation
- Develop and implement advanced analytical models and algorithms to solve complex business problems analyze large datasets to uncover trends patterns and insights that drive business performance.
- Collaborate with cross-functional teams to identify key business challenges and opportunities Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data Design and deliver insightful reports and dashboards to communicate findings to stakeholders.
- Stay up to date with the latest advancements in analytics machine learning and data science. Provide technical expertise and mentorship to junior team members.
- Qualifications: Bachelor’s or master’s degree in data science Statistics Mathematics Computer Science or a related field. Proven experience in advanced analytics data science or a similar role. Proficiency in programming languages such as Python R or SQL. Experience with data visualization tools like Tableau Power BI or similar.
- Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical problem-solving and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g. Hadoop Spark) is a plus
- Familiarity with cloud-based analytics platforms (e.g. AWS Azure).
- Knowledge of natural language processing (NLP) and deep learning techniques.
- Experience with project management and agile methodologies