Python sql Work, Jobs in Remote (with Salaries)

Senior Data Scientist
Hounslow West Enterprises —Remote
- £107,000 a year
- Full-time
- Remote
- Computer Science
- Data analysis skills
- Java
- Health & wellbeing programme
- Life insurance
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7h

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Senior Data Scientist
Hounslow West Enterprises —Remote
Proven experience in data science or related roles with a strong portfolio of projects involving machine learning, AI, or big data analytics.
£107,000 a year
Quick apply
7h

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Senior Data Scientist

Hounslow West Enterprises
Remote

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Job details

Permanent | Full-time
£107,000 a year
7 hours ago

Benefits

Health & wellbeing programme
Private dental insurance
Private medical insurance
Life insurance

Qualifications

TensorFlow
Data mining
Computer Science
SAS
Big data
Spark
R
Data analysis skills
UNIX
Java
Bash (Unix shell)
SQL
Database design
AWS
Analysis skills
C
Machine learning
Natural language processing
Organisational skills
VBA
Data science
AI
Python
Shell Scripting
Hadoop

Full job description

Job Summary
We are seeking an experienced Senior Data Scientist to lead advanced data analysis and machine learning initiatives within our organisation. The successful candidate will utilise a broad range of tools and technologies to extract insights from complex datasets, develop predictive models, and support strategic decision-making. This role offers an exciting opportunity to work on cutting-edge projects involving big data, natural language processing, and artificial intelligence, contributing significantly to our technological advancements and business growth.

Responsibilities

Design, develop, and implement sophisticated machine learning models and algorithms using Python, R, TensorFlow, and other relevant frameworks.
Analyse large-scale datasets employing data mining techniques and utilise big data tools such as Hadoop and Spark to optimise data processing workflows.
Collaborate with cross-functional teams to translate business requirements into technical solutions, ensuring alignment with organisational goals.
Develop scalable database architectures through effective database design principles, ensuring data integrity and accessibility.
Utilise SQL extensively for querying databases and extracting relevant information for analysis.
Apply natural language processing techniques to analyse unstructured text data for insights and trend identification.
Leverage cloud platforms such as AWS for deploying machine learning models and managing data infrastructure efficiently.
Write efficient code in Java, C, Bash (Unix shell), or VBA as required for specific project needs.
Conduct research on emerging AI technologies and incorporate innovative solutions into existing systems.
Present findings clearly to technical and non-technical stakeholders through reports and visualisations.

Requirements

Proven experience in data science or related roles with a strong portfolio of projects involving machine learning, AI, or big data analytics.
Proficiency in Python, R, SQL, Hadoop, Spark, and AWS cloud services.
Solid understanding of database design principles and experience working with large datasets.
Hands-on experience with TensorFlow, SAS, natural language processing (NLP), and other AI frameworks is highly desirable.
Knowledge of Java, C, Bash (Unix shell), VBA is advantageous for integrating systems or automating processes.
Strong analytical skills with the ability to interpret complex data patterns and translate them into actionable insights.
Excellent organisational skills with the ability to manage multiple projects simultaneously under tight deadlines.
Degree in Computer Science, Data Science, Statistics or a related discipline is preferred; professional certifications are a plus. This role offers an engaging environment where innovation is encouraged, providing opportunities for professional development within a dynamic team dedicated to technological excellence.

Pay: £107,000.00 per year

Benefits:

Health & wellbeing programme
Life insurance
Private dental insurance
Private medical insurance

Work Location: Remote

Quick apply

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