Data Scientist

Avensys Ltd

Kirkintilloch, UK

2 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Compensation

£117,000.0 - £130,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

A/B Testing Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Data Analysis Computer Vision Microsoft Azure Cloud Computing Cluster Analysis Continuous Integration Data Cleansing Apache Hadoop

+28 more

Python (Programming Language) Machine Learning Natural Language Processing NoSQL NumPy Performance Tuning Recommender Systems Tensorflow SQL Databases Feature Engineering Pytorch Large Language Models Apache Spark Deep Learning Model Validation Generative AI Keras Pandas Scikit Learn Kubernetes Information Technology HuggingFace Performance Monitor Data Management Machine Learning Operations Data Pipelines Docker Microservices

Job description

Overview

Notes: We need someone who doesn’t need visa to travel to Europe.

Rate: 450-500 Per day inside IR35.

Duration: Initially 6 months.

Experience: 12+ years of experience mandatory.

Travel: Travel to Europe once in a month (European country).

Required Skills & Qualifications

Classic Machine Learning (Regression, Predictive Analysis, Classification, Clustering).

Responsibilities

Design, develop, and optimize machine learning and deep learning models.
Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.
Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
Build and manage data pipelines and model training workflows.
Deploy models into production and monitor performance.
Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.
Conduct model evaluation, A/B testing, and performance tuning.
Document models, experiments, and technical processes.

Technical Proficiencies

Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.
Experience in Natural Language Processing (NLP) and/or Computer Vision.
Strong knowledge of Machine Learning algorithms and statistics.
Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).
Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.

Preferred Skills

Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
Cloud experience (AWS, Azure, or GCP).
Experience building AI APIs and microservices.

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles)

Soft Skills

Strong problem-solving and analytical thinking.
Excellent communication and storytelling skills.
Ability to work in fast-paced, cross-functional teams.

Requirements

Classic Machine Learning (Regression, Predictive Analysis, Classification, Clustering)., * Strong proficiency in Python (NumPy, Pandas, Scikit-learn).

Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.
Experience in Natural Language Processing (NLP) and/or Computer Vision.
Strong knowledge of Machine Learning algorithms and statistics.
Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).
Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.

Preferred Skills

Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
Cloud experience (AWS, Azure, or GCP).
Experience building AI APIs and microservices., Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles), * Strong problem-solving and analytical thinking.
Excellent communication and storytelling skills.
Ability to work in fast-paced, cross-functional teams.