Data Scientist

IBM's Chief Information Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations.

Key Responsibilities:

1. Technical Execution and Leadership:
   • Develop and deploy AI models and data analytics solutions.
   • Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements.
   • Help refine data-driven methodologies for transformation projects.
2. Data Science and AI:
   • Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights.
   • Learn and utilise cloud platforms to ensure the scalability of AI solutions.
   • Leverage reusable assets and apply IBM standards for data science and development.
3. Project Support:
   • Lead and contribute to various stages of AI and data science projects, from data exploration to model development.
   • Monitor project timelines and help resolve technical challenges.
   • Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.
4. Collaboration:

   • Ensure alignment to stakeholders' strategic direction and tactical needs.

   • Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.

   • Contribute technical expertise to cross-functional teams.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Bachelor's or Master's in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred

Experience:

• 5+ years of experience in data science, AI, or analytics with a focus on implementing data-driven solutions

• Experience with data cleaning, data analysis, A/B testing, and data visualization

• Experience with AI technologies through coursework or projects

Technical Skills:

• Proficiency in SQL and Python for performing data analysis and developing machine learning models

• Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch

• Experience with cloud-based platforms and data processing frameworks

• Understanding of large language models (LLMs)

• Familiarity with IBM's watsonx product suite

• Familiarity with object-oriented programming

Analytical Skills:

• Strong problem-solving abilities and eagerness to learn

• Ability to work with datasets and derive insights

Other Requirements:

• Good communication skills, with the ability to explain technical concepts clearly

• Enthusiasm for learning and applying new technologies

• Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.

• Successful completion of Coding Assessment

Preferred technical and professional experience

Data Science specialized

ABOUT BUSINESS UNIT

The IBM Finance organization is responsible for driving enterprise performance and transformation. We are the financial stewards of IBM, delivering IBM's financial strategy, developing new business models, and mitigating enterprise risk. Do you have a passion for creating business value? Join our team in accounting, financial planning, pricing, business controls, tax, treasury, business development (acquisitions & divestitures), and global financing.

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.

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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 50 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 qualifiedapplicants will receive consideration for employment without regard to race,color, religion, sex, gender, gender identity or expression, sexualorientation, national origin, caste, genetics, pregnancy, disability,neurodivergence, age, veteran status, or other characteristics. IBM is alsocommitted to compliance with all fair employment practices regardingcitizenship and immigration status.

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