Reed

Data Scientist / Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist / Data Analyst position for a 6-month contract in Farringdon, London, paying inside IR35. Key skills include Python, SQL, machine learning, NLP, and data visualization. A degree in a related field is required.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 6, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Inside IR35
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
City of London
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🧠 - Skills detailed
#Datasets #Sentiment Analysis #Spark (Apache Spark) #Python #NumPy #Visualization #Deployment #Statistics #Cloud #AWS (Amazon Web Services) #ML (Machine Learning) #Data Analysis #PySpark #AI (Artificial Intelligence) #TensorFlow #Computer Science #Looker #Hadoop #Anomaly Detection #SQL (Structured Query Language) #Classification #A/B Testing #NLP (Natural Language Processing) #Deep Learning #Libraries #BI (Business Intelligence) #GCP (Google Cloud Platform) #Data Quality #Data Science #Compliance #Data Framework #Forecasting #Elasticsearch #Tableau #Clustering #Azure #Microsoft Power BI #PyTorch #Big Data #Pandas #Monitoring
Role description
Data Scientist / Data Analyst β€’ Contract Duration: 6 Months, initially β€’ Location: Farringdon, London β€’ Job Type: Hybrid β€’ Paying inside Ir35 via umbrella Join our team at Reed Professional Services, a management consultancy and technology services company. We are seeking a highly skilled and motivated Data Scientist / Data Analyst to drive data-driven decision-making and deliver advanced analytics solutions across our client’s business in the postal service sector. Day-to-day of the role: β€’ Design, develop, and deploy machine learning models for predictive analytics, classification, clustering, and recommendation systems. β€’ Utilize Natural Language Processing (NLP) and Large Language Models (LLMs) for text analysis, sentiment analysis, and generative AI applications. β€’ Build and maintain production-grade ML pipelines using CI/CD, MLOps, and cloud platforms (Azure, AWS, GCP). β€’ Conduct A/B testing and randomized control trials to validate model performance and business impact. β€’ Perform data analysis on structured and unstructured datasets using Python, SQL, and big data frameworks (Hadoop, PySpark). β€’ Develop and optimize data retrieval systems using RAG, FAISS, Elasticsearch, and other retrieval algorithms. β€’ Implement time-series forecasting and anomaly detection for performance monitoring and optimization. β€’ Create data visualizations and dashboards using tools like Tableau, Power BI, and Looker to communicate insights effectively. β€’ Collaborate with stakeholders to understand business requirements and translate them into actionable data solutions. β€’ Ensure data quality, governance, and compliance throughout the analytics lifecycle. Required Skills & Qualifications: β€’ Strong proficiency in Python, SQL, and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. β€’ Hands-on experience with ML algorithms and deep learning architectures. β€’ Expertise in NLP techniques and frameworks, familiarity with LLM fine-tuning and deployment. β€’ Knowledge of big data technologies and cloud platforms. β€’ Strong understanding of MLOps practices, CI/CD pipelines, and model monitoring tools. β€’ Proficiency in data visualization tools. β€’ Excellent problem-solving skills, attention to detail, and ability to work independently and in teams. β€’ Degree in Computer Science, Data Science, Statistics, Engineering, or related field. Postgraduate qualification in Big Data Analytics / AI is desirable. Benefits: β€’ Opportunity to work in a dynamic and innovative environment. β€’ Exposure to cutting-edge technologies and methodologies. To apply for this Data Scientist / Data Analyst position, please submit your CV and a member of the Reed Professional Services Talent Team will be in touch