Data Scientist

WHD Consulting Ltd.

Maidenhead

Hybrid

GBP 60,000 - 85,000

Full time

6 days ago
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Job summary

WHD Consulting Ltd. is seeking a Data Scientist for Maidenhead on a hybrid basis (3 days onsite, 2 days remote). You will analyse complex datasets, build predictive models and support decision making across business units.

You will leverage your programming skills in Python or R, apply ML techniques, design ETL pipelines and deliver insights to both technical and non-technical stakeholders. Collaboration with data engineering is essential to ensure data quality.

Qualifications

  • Bachelor's degree in a data-related field.
  • 2+ years in data science or analytics.
  • Proven ability to build ML models and run experiments.

Responsibilities

  • Analyse large datasets to identify trends and insights.
  • Develop, implement, and optimize ML models to solve business problems.
  • Design ETL pipelines and data preprocessing workflows.
  • Present findings to technical and non-technical audiences.
  • Collaborate with data engineering to ensure data quality.
  • Mentor junior team members and share best practices.

Skills

Data Analysis
Data Modelling
Machine Learning
A/B Testing
ETL
Python
R
SQL
Data Visualization
Communication

Education

Bachelor's degree in data science, statistics, mathematics, or related field

Job description

Data Scientist - Maidenhead (Hybrid) - Permanent

I am looking for a Data Engineer / Data Scientist for a company in the Maidenhead area.

Work is Hybrid – 3 days onsite, 2 days remote. You will be leveraging your analytical skills and programming experience to extract insights from complex datasets, develop predictive models and support decision making.

KEY RESPONSIBILITIES
  • Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights.
  • Develop, implement, and optimize machine learning models to solve business problems.
  • Conduct A/B testing and experimental analysis to validate hypotheses.
  • Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency.
  • Design and develop ETL pipelines and workflows for data preprocessing.
  • Develop automated tests to validate the processes and models you create.
  • Collaborate with stakeholders to define project goals, requirements, and deliverables.
  • Actively participate in design meetings to help shape the solutions that the team delivers
  • Present findings and recommendations to technical and non-technical audiences.
  • Acquire domain knowledge to inform modelling opportunities and model feature creation
Technical Leadership:
  • Mentor junior data scientists and provide peer reviews for modelling projects.
  • Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities.
QUALIFICATIONS
Education:
  • Bachelor’s degree in data science, Statistics, Mathematics, or a related field.
Experience:
  • 2 or more years of experience in a data science or analytics role.
  • Proven experience in building machine learning models, statistical analysis, and predictive analytics.
  • Experience designing experiments or modelling approaches to solve a specified business problem.
PREFERRED QUALIFICATIONS
  • Proficiency in programming languages such as Python or R; knowledge of is R an advantage.
  • Experience with SQL and working knowledge of relational databases.
  • Proficiency with data visualisation tools and techniques.
  • Experience with AWS is a plus.
  • Strong problem-solving and critical-thinking abilities.
  • Excellent communication and presentation skills.
  • Ability to manage multiple projects and prioritize tasks effectively.
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