Data Scientist

Harnham

Greater London

On-site

GBP 60,000 - 90,000

Full time

10 hours ago
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Job summary

Harnham, a leading data and analytics consultancy in London, is seeking a Data Scientist to deliver predictive models and data-driven insights for a diverse client base. You will translate business problems into analytical approaches, work with stakeholders and present model outputs to non-technical audiences.

You'll build and refine models, leverage Python and SQL, and explore large datasets, with exposure to Databricks and cloud technologies.

Qualifications

  • Strong commercial experience using Python and SQL.
  • Experience building, training and improving machine learning or predictive models.
  • Ability to analyse complex datasets and translate findings into business insight.
  • Strong communication skills with the ability to engage both technical and non-technical audiences.

Responsibilities

  • Build and refine predictive models, including propensity and customer behaviour models.
  • Work closely with clients to understand business problems and define analytical approaches.
  • Lead and contribute to data discovery sessions with business stakeholders and subject matter experts.
  • Analyse large datasets to identify trends, patterns and opportunities.
  • Present findings, recommendations and model outputs to both technical and non-technical audiences.
  • Prototype and test new analytical approaches using modern data science tools and techniques.
  • Contribute to the optimisation and ongoing improvement of deployed models.
  • Support the development of scalable data products and analytical solutions.

Skills

Python
SQL
Machine learning
Data analysis

Tools

Databricks

Job description

Looking to combine hands-on data science with client-facing analytics projects? This is an opportunity to join a well-established data and analytics consultancy where you'll work on predictive modelling projects, collaborate directly with clients, and help turn complex datasets into actionable business outcomes. You'll have exposure to a broad range of industries and the chance to influence both project delivery and the development of data-driven products.

The Company

They are a leading data and analytics consultancy that combines proprietary data assets with advanced analytical expertise to help organisations make better decisions. Operating across a range of sectors including utilities, telecommunications, financial services and the not-for-profit space, they deliver solutions that blend data, technology and commercial insight.

Their teams work across analytics, data science and product development, using modern cloud technologies and large-scale datasets to solve business challenges and create measurable value for clients.

The Role

As a Data Scientist, you will:

  • Build and refine predictive models, including propensity and customer behaviour models
  • Work closely with clients to understand business problems and define analytical approaches
  • Lead and contribute to data discovery sessions with business stakeholders and subject matter experts
  • Analyse large datasets to identify trends, patterns and opportunities
  • Present findings, recommendations and model outputs to both technical and non-technical audiences
  • Prototype and test new analytical approaches using modern data science tools and techniques
  • Contribute to the optimisation and ongoing improvement of deployed models
  • Support the development of scalable data products and analytical solutions
Your Skills & Experience
  • Strong commercial experience using Python and SQL
  • Experience building, training and improving machine learning or predictive models
  • Ability to analyse complex datasets and translate findings into business insight
  • Databricks experience would be highly advantageous
  • Experience working with large transactional, behavioural or customer datasets
  • Consulting, agency or client-facing analytics experience is beneficial
  • Strong communication skills with the ability to engage both technical and non-technical audiences
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