frog - Senior Consultant - Data Science (Customer Data)

frog; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading technology consulting firm is seeking a Senior Data Science Consultant in London. The ideal candidate will have expertise in Generative AI and at least 1-2 years of hands-on experience with Large Language Models. Responsibilities include building AI solutions, managing projects, and collaborating with cross-functional teams. The role offers flexible working arrangements and various employee wellbeing initiatives to support a positive work environment.

Benefits

Flexible benefits options

Wellbeing initiatives

Hybrid working arrangements

Qualifications

• 1-2 years of hands-on experience in Generative AI and LLM development.
• Proven experience in customer behaviour analytics and various data sets.
• Strong project and people management skills.

Responsibilities

• Build and evaluate Generative AI solutions and LLMs.
• Deliver insights or AI/ML POCs and MVPs successfully.
• Collaborate with teams to create valuable products.

Skills

Generative AI

Customer behaviour analytics

Machine learning models

Python

Data visualisation tools

Cloud platforms

Project management

People management

Tools

Power BI

Tableau

Job description

An Overview Of The Role

We are seeking a highly skilled Senior Data Science Consultant with hands‑on experience, including at least 1‑2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills.

What We Look For

• Data Science & AI Expert – Expert in building and evaluating Generative AI solutions and LLMs for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models.
• CX Data Experience – Hands‑on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience. Experience in working with various data sets, including transactional/EPOS, digital, social and loyalty.
• AI Delivery Excellence – Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production‑grade solutions.
• Programming Experience – Skilled in using programming languages such as Python.
• Cloud Expertise – Knowledge of cloud platforms and tools for data science and machine learning.
• Data Visualisation Experience – Utilise visualisation tools such as Power BI or Tableau to present data insights effectively.
• Collaborative team player – Collaborate with cross‑functional teams to understand business challenges and create valuable products/solutions.
• People Manager – People management skills, including mentoring, guiding, and developing junior team members.
• Excellent Communicator – Ability to communicate complex ideas clearly, with excellent written and oral presentation skills, that engages internal and external audiences.
• Innovative Mind – A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space.

It Would Be a Bonus If You Have

• Experience in primary growth sectors – CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector).
• Familiarity with Agentic AI development.
• Familiarity with ethical considerations and best practices in AI and data science.

Need To Know

We are committed to inclusion and building environments where employees can bring their whole selves to work. We embed hybrid working and flexible arrangements for all employees, and support wellbeing through initiatives such as the Mental Health Champion program and wellbeing apps.

Location & Compensation

This role is based in London but requires flexibility to travel for assignments. The remuneration package includes flexible benefits options and a variable element dependent on grade and performance.

We comply with local equal opportunity guidelines and are an equal opportunities employer.