Senior Data Science Engineer Cv Ava Parker Senior Data Science Engineer 07700 90XXXX ava.parker@example.com avaparker Bristol, BS1 4ST STRENGTHS Making complex findings clear Explained model behaviour and limitations to legal and product stakeholders, helping them make informed prototype decisions. Practical technical coaching Uses peer design reviews and Python and SQL coaching to help early career analysts build confidence in their technical decisions. Careful model evaluation Compared document analysis outputs with labelled or manually reviewed samples, bringing clear evidence into recommendations for production use. Connecting analysis to decisions Worked with business analysts and client stakeholders to turn data needs into useful analytical solutions and clear next steps. Traceable data delivery Documents transformations, data provenance and test results so colleagues can reproduce analysis and investigate dataset issues. SKILLS Python SQL PySpark Microsoft Fabric Databricks Lakehouse modelling Data pipelines Machine learning Natural language processing Entity resolution Information extraction Data quality Data governance Stakeholder communication CI/CD MY CAREER 8.2 Years Senior Data Science Engineer at Cedarbridge Analytics (3.8 Years) Data Science Engineer at Redfern Digital (1.6 Years) Data Scientist at Calder Insights (1.5 Years) Junior Data Analyst at Westhaven Consulting (1.4 Years) SUMMARY Data Science Engineer with eight years of experience building analytical products for legal and document heavy datasets. Develop production grade pipelines, reusable data assets and lakehouse models, applying machine learning and natural language processing to make complex information useful for research and business decisions. Translate stakeholder needs into tested APIs and data products , with clear data quality, monitoring and governance. Explain model behaviour and commercial implications to legal and product teams, and guide colleagues through design reviews and practical technical coaching. EXPERIENCE Senior Data Science Engineer Cedarbridge Analytics Feb 2023 - Present London, UK Leads delivery of document analytics products for legal and professional services clients, shaping discovery findings into Python and PySpark solutions that support research and business decisions. From 2024, developed lakehouse models and governed datasets in Microsoft Fabric , integrating Databricks workloads and reusable data assets for repeatable analytical use. Built natural language processing, entity resolution and information extraction workflows for contracts and case documents, combining exploratory data analysis with machine learning evaluation to improve retrieval of key entities and clauses. Productionised analytical services through APIs and orchestrated pipelines, using Git, automated testing frameworks and CI/CD practices to make releases traceable and dependable. Introduced data quality checks , monitoring and lineage documentation across delivery pipelines, helping stakeholders understand dataset provenance and investigate issues more quickly. Presented model behaviour, limitations and commercial implications to non technical legal and product stakeholders, informing prioritisation of prototypes for production. Mentors two data practitioners through design reviews and technical guidance, promoting consistent modelling, testing and documentation practices. Data Science Engineer Redfern Digital Jul 2021 - Jan 2023 Bristol, UK Delivered client facing data products on Databricks , building production grade pipelines with Python , SQL and PySpark for mixed structured and document derived data. Designed lakehouse data models and reusable data assets for analytics teams, documenting transformations and access controls to support governed dataset use. Prototyped machine learning and natural language processing methods for classifying legal correspondence, assessing model quality against labelled samples before recommending production use. Exposed selected analytical outputs through APIs and scheduled pipelines, adding Git based version control and automated tests to the team's release workflow. Worked with business analysts and client stakeholders to clarify data needs, communicate technical trade offs and translate findings into actionable analytical solutions. Data Scientist Calder Insights Jan 2020 - Jun 2021 Cardiff, UK Analysed document and matter data for legal sector clients, using exploratory data analysis in Python and SQL to identify completeness issues and useful patterns for operational reporting. Developed entity resolution and information extraction prototypes for inconsistent names and document fields, validating outputs against manually reviewed samples. Built and evaluated machine learning models for document categorisation, recording assumptions and model limitations for both technical colleagues and non technical stakeholders. Created repeatable data preparation pipelines and quality checks, reducing manual reconciliation in recurring analytical work. Junior Data Analyst Westhaven Consulting Aug 2018 - Dec 2019 Bath, UK Prepared client datasets using SQL and Python , documenting cleaning steps so analysts could reproduce results and trace source data. Used exploratory analysis to investigate missing and duplicate records in professional services datasets, presenting findings in clear summaries for business users. Supported early machine learning and text analysis prototypes by preparing labelled samples, checking outputs and recording test results for senior practitioners. LEADERSHIP, AWARDS & RECOGNITION Mentors early career analysts through peer design reviews and practical Python and SQL coaching. Recognised by the Cedarbridge Analytics product team in 2025 for clear communication of model limitations during a client prototype review. EDUCATION MSc Data Science University of Bath 2016 Bath, UK BSc Mathematics and Statistics University of Exeter 2014 Exeter, UK CERTIFICATIONS Microsoft Certified: Azure Data Engineer Associate 2022 Databricks Certified Data Engineer Associate 2023 Microsoft Certified: Fabric Analytics Engineer Associate 2024 TECHNICAL SKILLS Programming Languages: Python, SQL, Scala Data Processing Libraries: PySpark, pandas, NumPy Lakehouse Platforms: Databricks, Microsoft Fabric, Delta Lake Cloud Data Services: Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory Database Platforms: PostgreSQL, SQL Server, Snowflake Natural Language Processing: spaCy, NLTK, Hugging Face Transformers Machine Learning Libraries: scikit-learn, MLflow, XGBoost API Technologies: FastAPI, Flask, OpenAPI Testing and Data Quality: pytest, unittest, Great Expectations DevOps Platforms: Azure DevOps, GitHub Actions, Jenkins Monitoring Tools: Azure Monitor, Prometheus, Grafana SKILLS Python SQL PySpark Microsoft Fabric Databricks Lakehouse modelling Data pipelines Machine learning Natural language processing Entity resolution Information extraction Data quality Data governance Stakeholder communication CI/CD PROFESSIONAL AFFILIATIONS Member, British Computer Society, engaging with the professional community on data engineering and technology practice. Member, Royal Statistical Society, maintaining professional links with the statistics and data science community.
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