Senior Data Scientist

ClearPeaks is a specialist consulting firm delivering services and solutions in "Everything Data" - Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. Founded in 2000, we have been a trusted partner to our customers in over 15 industry verticals and functional areas, with operations spanning Europe, Middle East, the United States, and Africa.

ClearPeaks is part of a strategic alliance with synvert, a group of six successful full‑service Data & Analytics (D&A) consulting firms, with a clear goal to become one of EMEA's largest D&A consulting companies.

Our services are based on the latest market‑leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real‑world challenges.

As a Senior Data Scientist, you will engage deeply in data exploration, model development, and the implementation of advanced analytics and machine learning solutions. This role is centred on hands‑on data manipulation, building predictive models, and generating actionable insights to drive data‑informed decisions across the organization.

Responsibilities

• Data Analysis : Perform comprehensive analysis of structured and unstructured datasets using statistical and exploratory data analysis (EDA) techniques to uncover patterns and insights.
• Data Cleaning and Transformation : Clean, preprocess, and transform raw data to ensure quality and readiness for analysis and modelling.
• Feature Engineering : Develop and select relevant features to enhance model performance and predictive capabilities.
• Machine Learning : Design, implement, and validate machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or similar.
• Predictive Modeling : Create and refine predictive models to solve business problems, leveraging techniques like regression, classification, clustering, and time‑series analysis.
• Scalable Pipelines : Develop and maintain scalable data pipelines using SQL, NoSQL, and other relevant technologies to handle large datasets efficiently.
• Model Deployment : Deploy models into production environments using platforms like Dataiku, ensuring seamless integration and performance monitoring.
• Statistical Analysis : Apply advanced statistical methods to interpret complex data sets and derive meaningful insights.
• Data Visualization : Create compelling visualisations and dashboards using Power BI to effectively communicate findings to technical and non‑technical stakeholders.
• Data Storytelling : Translate analytical results into clear, actionable narratives that support strategic decision‑making.
• Cross‑Functional Collaboration : Work closely with product owners and other data professionals to develop analytical data products.
• Technical Support : Provide support to developed products.
• Technical Documentation : Maintain thorough documentation of data processes, models, and methodologies to ensure reproducibility and knowledge sharing.

Requirements

Our offer to you!

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology and Consulting

Industries

IT Services and IT Consulting, Business Consulting and Services

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