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Statistical Analyst
Authcode Limited —Remote
Experience with machine learning frameworks like TensorFlow and AI applications such as natural language processing. Proficiency in SQL and Python or R.
£25,777.88 - £48,906.01 a year
Quick apply
11h
Customer Success Specialist (EMEA)
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Statistical Analyst

Authcode Limited
Remote

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Job details

Full-time
£25,777.88 - £48,906.01 a year
11 hours ago

Qualifications

TensorFlow
Power BI
Data modelling
Microsoft Excel
Azure
Data mining
Computer Science
SAS
Big data
Spark
R
Data analysis skills
UNIX
Mathematics
Git
Google Cloud Platform
Tableau
Java
Bash (Unix shell)
SQL
Database design
Statistical analysis
AWS
Analysis skills
C
Bachelor's degree
Machine learning
Natural language processing
Scripting
VBA
Predictive analytics
Linux
AI
Communication skills
Python
Shell Scripting
Hadoop

Full job description

Job Summary

Authcode Limited is looking for a skilled and detail-oriented Statistical Analyst to join our growing team. In this role, you will analyse data, develop statistical models, and provide actionable insights that support business decisions. If you have strong analytical skills and enjoy working with data, we'd like to hear from you.

Key Responsibilities

Collect, clean, and analyse large datasets.
Develop and maintain statistical models and forecasting methods.
Interpret data and identify trends, patterns, and business opportunities.
Create reports, dashboards, and visualisations using analytical tools.
Work with internal teams to provide data-driven recommendations.
Ensure data accuracy, integrity, and confidentiality.
Present findings clearly to technical and non-technical stakeholders.
Support continuous improvement of reporting and analytical processes.

Requirements

Essential

Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Computer Science, or a related field.
Experience in statistical analysis, data analysis, or business analytics.
Strong knowledge of statistical techniques and data modelling.
Proficiency in SQL and Python or R.
Experience using Microsoft Excel and Power BI or Tableau.
Excellent analytical, communication, and problem-solving skills.
Ability to work independently and as part of a team.

Desirable

Degree in a relevant discipline.
Experience with predictive analytics or machine learning.
Knowledge of Microsoft Azure, AWS, or Google Cloud.
Experience with version control tools such as Git.
Apply natural language processing techniques to interpret unstructured text data for various applications.
Collaborate with cross-functional teams to translate business requirements into technical specifications.
Automate data processing workflows using Bash (Unix shell) scripting and VBA where applicable.
Present findings through comprehensive reports and visualisations to stakeholders at all levels of the organisation.
Stay abreast of emerging trends in artificial intelligence (AI), big data, and analytics to continuously improve analytical capabilities.

Qualifications

Proven experience in data analysis or a related role within a commercial environment.
Proficiency in programming languages such as Python, R, Java, C, or VBA.
Strong knowledge of big data technologies including Hadoop, Spark, and AWS cloud platforms.
Experience with machine learning frameworks like TensorFlow and AI applications such as natural language processing.
Familiarity with SQL databases and database design principles.
Knowledge of data mining techniques and statistical modelling methods using SAS or similar tools.
Ability to interpret complex datasets and communicate insights clearly through reports and visualisations.
Demonstrated understanding of Unix/Linux environments with Bash scripting skills preferred.
A degree in Data Science, Statistics, Computer Science or a related discipline is highly desirable.

This role offers an engaging environment for professionals eager to apply their expertise in advanced analytics while contributing to innovative projects within a forward-thinking organisation.

Pay: £25,777.88-£48,906.01 per year

Work Location: Remote

Quick apply

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