Data Scientist with Gen AI experience

Keyrus; Centro; Presencial; COP 120.000.000 - 230.000.000; Jornada completa

Descripción de la vacante

Keyrus is a global data and AI consultancy seeking an experienced Architect of Intelligence to design and deploy end-to-end analytics and Generative AI initiatives. You will translate business challenges into data-driven solutions, lead ML model development, and collaborate with executives across industries.

You will shape AI roadmaps, implement scalable data pipelines, and drive adoption of AI-powered decisioning in enterprise environments.

Formación

• Bachelor's degree in Engineering, Statistics, Mathematics, Economics, Computer Science, or a related field
• Master's degree preferred in Statistics, Mathematics, Computer Science, Engineering, Data Science, AI, or related disciplines
• 6+ years of professional experience in Data Science, Advanced Analytics, AI, ML, or related fields
• Experience designing and implementing analytics and ML solutions in business environments
• Ideally 2+ years of experience in Banking, Payments, Financial Services, Technology, or related industries
• Hands-on experience deploying Generative AI solutions in enterprise environments
• Certifications in DS/AI/ML/Cloud/Generative AI are assets

Responsabilidades

• Architect end-to-end analytics, ML, and Generative AI initiatives that drive growth and efficiency
• Design and implement customer segmentation, propensity, behavioral, and AI-powered decisioning models
• Transform complex datasets into actionable insights and AI-enabled solutions for strategic decisions
• Design scalable analytics and AI solutions leveraging cloud and big data tech
• Build and optimize analytics workflows, data pipelines, and production-ready assets
• Lead development and deployment of Generative AI models, AI agents, and LLM-powered solutions
• Define AI roadmaps and partner with cross-functional stakeholders to drive adoption
• Act as advisor translating business challenges into data-driven AI solutions

Conocimientos

Python

SQL

Statistical modeling

Customer segmentation

Machine learning frameworks

Distributed computing

Data visualization

Prompt engineering

AI governance

Educación

Bachelor's degree in Engineering, Statistics, Mathematics, Economics, Computer Science

Master's degree preferred in Statistics, Mathematics, Computer Science, Engineering, Data Science, AI

Herramientas

Scikit-learn

XGBoost

LightGBM

Hadoop

Spark

Hive

Pig

MapReduce

Tableau

Power BI

MicroStrategy

LangChain

LlamaIndex

Semantic Kernel

Descripción del empleo

Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision‑making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

What You'll Architect

• Architect end-to-end analytics, machine learning, and Generative AI initiatives that drive business growth and operational efficiency
• Design and implement customer segmentation, propensity, behavioral, recommendation, and AI-powered decisioning models
• Transform complex datasets into actionable insights and AI-enabled solutions that support strategic business decisions
• Design scalable analytical, machine learning, and AI solutions leveraging cloud and big data technologies
• Build and optimize analytical workflows, data pipelines, automation solutions, and production-ready assets
• Lead the development and deployment of Generative AI models, AI agents, LLM-powered solutions, and intelligent automation workflows
• Define AI roadmaps and partner with cross-functional stakeholders to drive AI innovation and organizational adoption
• Act as a trusted advisor to business leaders, translating business challenges into data-driven and AI-powered solutions

What You Bring

Qualifications / Certifications

• Bachelor's degree in Engineering, Statistics, Mathematics, Economics, Computer Science, or a related field
• Master's degree preferred in Statistics, Mathematics, Computer Science, Engineering, Data Science, Artificial Intelligence, or related disciplines
• 6+ years of professional experience in Data Science, Advanced Analytics, Artificial Intelligence, Machine Learning, or related fields
• Experience designing and implementing analytics and machine learning solutions in business environments
• Ideally 2+ years of experience within Banking, Payments, Financial Services, Technology, or related industries
• Hands‑on experience designing, deploying, and scaling Generative AI solutions in enterprise environments
• Certifications in Data Science, Artificial Intelligence, Machine Learning, Cloud, Generative AI, AWS, or Analytics platforms are considered an asset

Technical Skills

• Advanced proficiency in Python for statistical analysis, machine learning, Generative AI applications, and data science workflows
• Advanced SQL skills with experience managing and analyzing large-scale datasets
• Proven hands‑on experience in advanced analytics and statistical modeling techniques, including linear regression, logistic regression, clustering, classification models, decision trees, random forests, and related methodologies
• Experience developing customer segmentation models using methodologies such as RFM, clustering, and behavioral analytics
• Hands‑on knowledge of Machine Learning frameworks including Scikit-learn, XGBoost, LightGBM, and similar technologies
• Strong experience working with distributed computing and big data technologies, including Hadoop, Spark, Hive, Pig, and MapReduce
• Experience designing and measuring experiments through A/B testing, cohort analysis, and campaign performance evaluation
• Strong expertise with Business Intelligence and data visualization platforms including Tableau, Power BI, MicroStrategy, or equivalent solutions
• Experience implementing Generative AI models, AI agents, LLM-powered applications, intelligent assistants, and automation workflows
• Strong understanding of prompt engineering, prompting strategies, model capabilities and limitations, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures
• Familiarity with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar technologies
• Understanding of Responsible AI principles, AI governance, model risk management, ethical AI practices, and regulatory considerations

Who You Are

• You naturally connect business questions with analytical and AI-driven approaches that generate measurable value
• You see data science and Generative AI as decision‑making disciplines rather than simply modeling or automation exercises
• You are comfortable engaging executives and business teams, translating technical complexity, machine learning concepts, and AI capabilities into strategic conversations
• You balance statistical rigor, responsible AI principles, and pragmatism, delivering solutions that are both technically sound and operationally valuable
• You combine curiosity, commercial awareness, structured thinking, and a passion for emerging AI technologies to continuously uncover new opportunities through data
• You stay current with advances in Generative AI, Large Language Models, and AI applications, identifying practical ways to create business value
• You are a detail‑oriented and structured thinker with a passion for innovation, continuous improvement, and solving complex business challenges through data and AI

Nice-to-haves

• Experience developing AI copilots, virtual assistants, conversational AI solutions, or agentic AI applications
• Experience with Azure OpenAI, Amazon Bedrock, OpenAI APIs, Anthropic Claude, Gemini, Cohere, or equivalent Generative AI platforms
• Experience defining AI operating models, governance frameworks, or enterprise AI adoption strategies
• Previous consulting experience supporting large‑scale analytics, digital transformation, or AI transformation programs

What Makes You Successful

• Excellent communication skills, with the ability to influence technical and non-technical stakeholders through data-driven and AI-driven storytelling
• Comfortable leading analytical discussions, AI workshops, and strategic conversations with business leaders
• Able to translate complex analytical findings and Generative AI capabilities into practical recommendations that drive measurable business outcomes
• Brings a consultative mindset that balances analytical excellence, AI innovation, and commercial impact
• Drives organizational adoption of AI solutions by combining technical depth, business acumen, stakeholder engagement, and change management capabilities
• Strong teamwork, relationship-management, and stakeholder-engagement skills across cross-functional environments
• Excellent verbal, and communication skills, including fluency in English
• Continuously seeks opportunities to innovate, improve processes, and create measurable business value through analytics and AI