AI Specialist/Data Scientist
Introduction
At IBM, we're revolutionizing our approach to technology sales. Our Client Engineering teams are champions of co-creating solutions in real-time to solve complex business challenges.
As a Data Scientist within Client Engineering, you'll be the expert advisor on Machine Learning (ML) and Generative AI solutions, optimization, neural networks, data and AI statistical modelling, and other quantitative approaches. Applying these to business problems, you'll work with your solution architect and wider team to present insights and trend predictions that contribute to optimizing value-providing solutions for prospective clients.
At IBM the possibilities are endless. We offer extensive onboarding and ongoing development, fostering an environment where you can thrive and shape your own career trajectory. Surrounded by a supportive team, you'll be integral in creating user-centric, compelling pilots that lead clients to continually invest in IBM's people, products, and services.
Your role and responsibilities
Your primary responsibilities will include:
* AI Solution Co-Creation: Translate complex client challenges into impactful, scalable AI solution architectures. Prototype and explore innovative Machine Learning and GenAI solutions by developing Proofs-of-Concepts (POC) to rapidly test and prove transformative solutions for clients.
* Data Analysis: Apply statistical and programming languages (R, Python, SPSS) and database languages (SQL) to assess and enhance the quality of data sets, as well as to develop predictive and prescriptive models.
* Data Engineering: Utilize multiple data engineering techniques such as Spark, Hive, HDFS, and Data API Design to collect, prepare, cleanse, and transform client data for analysis and AI automation.
* Client Relationship Building: Establish partnerships with clients at all organizational levels to identify new opportunities for data science applications.
* Business Acumen: Demonstrate a strong understanding of clients' most complex issues, formulate hypotheses, and test conclusions to shape solution designs.
* Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, machine learning, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
Excellent communication skills at all levels, with a demonstrated comfort in client-facing roles. Capable of contributing to the facilitation of experiential problem discovery, framing, and solutioning sessions.
* Strong organizational, planning, and team collaboration skills with the ability to work on multiple projects at the same time.
* Generative AI expertise: Proficient in advancements in Large Language Models (LLM), Generative AI frameworks, Agentic AI, and related technologies.
* Data science expertise: A deep understanding of statistics, machine learning, and natural language processing/understanding (NLP/NLU)
* Data handling: Expertise in identifying data sources, transforming data, and using frameworks such as MXNet, TensorFlow, PyTorch, SparkML, and scikit-learn to contribute to the development of client's machine learning models.
* Strong programming skills: Proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
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Preferred technical and professional experience
AI-related education: Possess a Master's, or Ph.D. degree in a highly quantitative field such as Data Science, Computer Science, Machine Learning, Operational Research, Statistics, or Mathematics.
* Data lineage: Experience with modeling a record of data throughout its lifecycle, including source information and any data transformations during any ELT or ETL process.
* Data fabric: Experience with implementing a data fabric solution in a hybrid cloud architecture.
* Multi-cloud experience: Demonstrate the ability to work across multiple clouds, including IBM, AWS, GCP, and Azure.
* Comprehensive familiarity with IBM's offerings: Hands-on experience with any of IBM's products and services (training across IBM's product suite will be provided).
ABOUT BUSINESS UNIT
IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
Must have the ability to work in Canada without sponsorship.
This role will involve working with technology that is covered by Export Regulations sanctions. If you are a Foreign National from any of the following US sanctioned countries (Cuba, Iran, North Korea, Syria, and the Crimea, Luhansk, Donetsk, Kherson, and Zaporizhia regions of Ukraine) on a work permit, you are not eligible for employment in this position.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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