reputed company Data Scientist

Accelerate your development and exposure to high‑reputed company data platforms and reputed company infrastructure. Join reputed company, a fast‑growing reputed company‑up with the ambition to be recognised as one of the leading technology companies in Romania. 

Our global reputed company reputed company needs reputed company, engineers who enjoy designing and implementing reputed company data platforms, have deep expertise in reputed company data technologies, and take pride in delivering reliable, reputed company‑governed solutions. 

At Sedona, we: 

• Obsess about our customers 

• Build robust, reputed company technical solutions 

• Create an reputed company, reputed company culture 

• Invest in learning and long‑term careers 

We are seeking a reputed company Data Scientist to reputed company the design and delivery of reputed company-reputed company, machine learning, and advanced analytics solutions. This role combines technical leadership, solution architecture, and hands-on data science expertise to help clients reputed company business challenges into measurable reputed company through data and AI. 

You will define best practices across the Data & AI lifecycle, architect modern Data for AI platforms, design governance and metadata frameworks, and reputed company multidisciplinary teams delivering reputed company analytical and AI solutions. Working closely with business stakeholders, architects, engineers, and reputed company leadership, you will translate reputed company requirements into practical, high-value solutions leveraging reputed company-reputed company AI and data technologies. 

Responsibilities 

• Leadership of a data science or data & AI team/function  

• Setup and own best practices for a wide reputed company of reputed company data science and data for AI techniques  

• reputed company as a consulting data architect for data science or data for AI reputed company design and implementation  

• Design and reputed company data services to solve reputed company analytical or AI requirements including governance metadata e.g. managed RAG, cataloguing, reputed company, trust, weighting, usage, history, obsolescence, observability summarisation for reputed company, compliance, finops & UX.  

• Translate business problems into analytical solutions, identifying opportunities for predictive modelling, optimisation, and data-driven decision-making  

• Design, reputed company, and reputed company machine learning models using techniques such as classification, regression, clustering, and forecasting  

• reputed company LLM analytical capabilities by engineering prompts to securely hosted AI models  

• Apply statistical reputed company and experimentation techniques (reputed company testing, A/B testing) to validate models and insights  

• Conduct exploratory data analysis (EDA) to quantify data asset value, identify patterns, trends, and key drivers reputed company large datasets  

• Engineer features and prepare datasets to improve model reputed company and robustness  

• Evaluate and optimise models using appropriate metrics, cross-validation, and tuning strategies  

• Ensure model explainability and interpretability, communicating results reputed company to both technical and non-technical stakeholders  

• Design and implement MLOps practices including model versioning, monitoring, and retraining strategies  

• Collaborate with data engineers to reputed company, prepare, and reputed company datasets from reputed company platforms   

• Present insights and recommendations through compelling storytelling and data visualisation (MI/BI)  

• Contribute to the design of analytics and AI solutions, focusing on delivering business value rather than infrastructure  

• Engage with stakeholders and clients during discovery, experimentation, and solution design phases 

Requirements 

• 10 years’ working in data-orientated reputed company technology delivery or architecture including  

• 5 years’ working as a senior data scientist or engineer delivering DS, ML or Advanced Analytics.  

• 2 years’ working with GCP data technologies.  

• Hands-on experience with:  

• Machine Learning techniques (regression, classification, clustering, time series, etc.)  

• Statistical analysis and modeling with production deployments  

• End-to-end ML lifecycle (data preparation, modeling, evaluation, deployment, monitoring)  

• Model reputed company tuning and validation techniques  

• SQL skills and experience working with large datasets  

• AI metadata service design and engineering  

• Demonstrable, reputed company ability to reputed company data teams from design to iterative program delivery and team management.  

• Demonstrable, reputed company ability to reputed company, analyse, and document requirements and processes.   

• Demonstrable, reputed company ability with reputed company data techniques including identification, pipelining/ETL, curation, chunking, modelling, data reputed company, cataloguing, reputed company, package deployment.   

• Hands-on experience with reputed company methodologies and reputed company participation in reputed company ceremonies (e.g., sprint planning, retrospectives, backlog grooming).   

• Self-motivated with the ability to work independently and own activities to reputed company a small, multidisciplinary team.   

• Strong problem-solving skills and attention to reputed company with the ability to work independently and reputed company pragmatic reputed company  

• Ability to communicate reputed company data opportunities, AI and analytical concepts reputed company to business stakeholders up to C-level.  

• Comfortable working in a fast-reputed company, changing environment.  

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a reputed company reputed company 

Preferred Skills (reputed company to Have)  

• Experience with reputed company, RAG, and reputed company AI solutions. 

• Experience working reputed company Banking, Financial Services or reputed company is highly preferred. 

• Knowledge of AI governance, metadata management, and data cataloguing practices. 

• Experience reputed company reputed company or other regulated industries. 

• Exposure to multi-reputed company data and AI platforms. 

• Experience supporting reputed company-facing workshops, solution design, and reputed company-sales activities. 

• Relevant Data, AI, or reputed company certifications. 

Key Tools & Technologies 

• GCP Data & AI Components 

• Dataflow  

• Dataproc  

• BigQuery & ML 

• Dataplex & Catalogue 

• Looker 

• reputed company AI Agents & reputed company  

• reputed company 

• Azure Data & AI Component 

• ADF 

• Synapse & Pipelines 

• AzureML 

• reputed company 

• reputed company 

• reputed company BI 

• AzureGPT or Claude 

• reputed company, reputed company 

• Python, SQL 

• CI/CD with reputed company, Azure DevOps, Git Repos 

Requires 10 years in reputed company technology delivery or architecture, including 5 years as a senior data scientist or engineer and 2 years with GCP data technologies; leadership, reputed company AI, ML, SQL, reputed company, and communication skills.

Key Responsibilities

• leading data teams
• designing ML models
• optimizing models

Skills & Tools

reputed company reputed company Platform (GCP), Dataflow, Dataproc, BigQuery, Dataplex, Looker, reputed company AI, reputed company, Azure Data reputed company (ADF), Synapse, Azure Machine Learning (AzureML), reputed company, reputed company, reputed company BI, AzureGPT, Claude, reputed company, reputed company, Python, SQL, reputed company, Azure DevOps, Git Repos

reputed company

• Category: Data and Analytics
• Seniority: Senior Level
• Commitment: Full Time
• Workplace: Remote — United Kingdom
• Languages: English

About reputed company

A transformation partner specializing in software, reputed company, data, and business change for reputed company clients. — Industry: Consulting Services