Data Science Consultant

Delta Humans
Greater London, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Data Analysis Information Technology Consulting Data Infrastructure Distributed Data Store Apache Hive Machine Learning Feature Engineering Large Language Models Multi-Agent Systems
+7 more
Apache Spark Deep Learning Model Validation Pyspark Information Technology Data Analytics Databricks

Job description

Senior Applied AI Consultant - London (Hybrid, 3 days in office)

We’re working with a multi-award-winning AI & Analytics company that’s transforming how global enterprises use data to understand and engage their customers.

They’ve been recognised as one of Europe’s fastest-growing tech firms and are trusted by some of the biggest household names across telecoms, financial services, and retail.

This is a rare opportunity to join a fast-scaling AI business that’s already delivering tangible commercial impact - from billions of behavioural data points to measurable ROI.

The Opportunity

This role sits at the intersection of AI, data science, and consulting.

You’ll work directly with major enterprise clients, helping them apply advanced analytics and AI models to real-world business challenges - from customer insight to personalisation and growth.

Ideal for:

  • Data Scientists looking to move into a more strategic, client-facing role, or
  • Technical Consultants wanting to go deeper into applied AI and data science.

Expect a balance of hands-on technical delivery ( 50%) and consultative problem-solving ( 50%).

What You’ll Be Doing

  • Designing and delivering AI/ML-driven solutions that unlock value from large-scale behavioural data
  • Building features, models and proofs-of-concept that help clients truly understand their customers
  • Translating complex technical concepts into clear, commercial insights for business stakeholders
  • Collaborating with data engineers, product teams and customer success to deliver measurable outcomes
  • Acting as an internal evangelist for applied data science and innovation

What You’ll Bring

Must-haves

  • Strong understanding of machine learning techniques - clustering, NLP, deep learning
  • Hands-on experience with feature engineering, model evaluation and data exploration
  • Knowledge of modern AI tooling (RAG, fine-tuning, LLMs, agentic frameworks)
  • Ability to bridge technical and commercial conversations confidently
  • A logical, creative problem-solver who can turn data into ROI

Nice-to-haves

  • Spark / PySpark / Databricks or distributed data experience
  • Familiarity with AWS (S3, EMR) or Hive-based environments
  • Consulting or enterprise B2B experience
  • Exposure to causal AI, agentic systems, or LLM applications
  • Join a multi-award-winning AI innovator operating at global scale
  • Work on meaningful, high-impact AI projects with blue-chip clients
  • Hybrid setup - 3 days per week in a stunning London office
  • Inclusive, high-performance culture with genuine career growth
  • 26+ days holiday, flexible working, wellbeing support, and professional development

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Consulting

Industries: Data Infrastructure and Analytics, IT Services and IT Consulting

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Requirements

  • Strong understanding of machine learning techniques - clustering, NLP, deep learning
  • Hands-on experience with feature engineering, model evaluation and data exploration
  • Knowledge of modern AI tooling (RAG, fine-tuning, LLMs, agentic frameworks)
  • Ability to bridge technical and commercial conversations confidently
  • A logical, creative problem-solver who can turn data into ROI

Nice-to-haves

  • Spark / PySpark / Databricks or distributed data experience
  • Familiarity with AWS (S3, EMR) or Hive-based environments
  • Consulting or enterprise B2B experience
  • Exposure to causal AI, agentic systems, or LLM applications

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Prepare application

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