AI Data Scientist
AI Data Scientist
Posted on :
14-08-2025
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1 Vacancy
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Job Description
- As a Data Scientist youll play a key role in turning strategic visions and roadmaps into real-world AI solutions - ranging from intelligent automation and predictive models to recommendation engines. This role sits at the heart of applied data science with a strong focus on discovery experimentation and delivering business-ready outcomes.
- This is a hands-on technical role for someone who thrives on solving complex problems with data. As an individual contributor youll work within a collaborative team environment that values autonomy ownership and technical excellence.
- Youll partner closely with business stakeholders product owners and IT teams to design build and deploy machine learning solutions that drive measurable impact and enable smarter decision-making across the organization.
Key Responsibilities
- Develop validate and deploy machine learning and statistical models
- Collaborate with product managers business SMEs Software Engineers Solution Architects and Product/Program Managers to translate use cases into data-driven solutions
- Prepare and process structured and unstructured datasets for analysis and model training
- Evaluate model performance and continuously improve based on feedback and data drift
- Document methodologies and present findings clearly to both technical and non-technical stakeholders
- Support handover and integration of solutions into production environments
- Demonstrating curiosity in the latest and greatest tech trends.
Qualifications :
- 15 years of hands-on experience in data science with a proven track record of delivering successful AI/ML projects
- Demonstrated ability to bring AI/ML solutions to life end-to-end: from scoping and design to development testing deployment and post-launch monitoring
- Experience building and deploying cloud-based ML solutions at scale ideally using Docker and Kubernetes
- Strong foundation in advanced statistical modeling and data analysis
- Solid grounding in software engineering principles DevOps practices and MLOps deployment pipelines
- Effective communicator with the ability to explain complex technical topics to both technical and non-technical audiences
Skills
- Proficient in Python and key machine learning libraries (e.g. scikit-learn pandas NumPy PyTorch/TensorFlow)
- Experience with ML experiment tracking and collaboration tools such as MLflow or Weights & Biases
- Familiarity with pipeline orchestration tools like Airflow Kubeflow or Argo
- Exposure to generative AI frameworks and SDKs (e.g. Langchain Semantic Kernel RAG) and tools like MS Co-Pilot Studio ML Studio Prompt Flow Kedro etc.
- Knowledge of infrastructure and operational concerns in deploying ML models to production environments
- Results-oriented mindset with strong problem-solving skills and a passion for innovation
- Highly organized self-starter able to manage multiple priorities and think strategically about opportunities to apply AI
Additional Information :
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
Key Skills
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