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H

Data Scientist - Data & AI Strategy Consultancy

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  • Buckhurst Hill
H
Data Scientist - Data & AI Strategy Consultancy
Harnham City of London (15 km)
new
Status Open
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What we ask

Education

No minimum education required

Job description

Do you want to build AI and data products that are actually deployed into client environments?

Have you worked on ML projects and wondered how they create commercial impact at scale?

Are you ready to combine Data Science, consulting, and AI transformation in one role?


A globally recognised strategy consultancy is hiring an Associate Consultant (Data Science) to join its growing European Data & Analytics team. The group is increasingly moving beyond traditional advisory work into designing, building, and deploying AI and data-driven solutions directly into client environments. You'll work across a broad range of industries while helping shape the next generation of analytics and AI offerings.


This is an opportunity to sit at the intersection of Data Science, Machine Learning, analytics, and consulting. You'll have significant ownership from day one, working on both client-facing engagements and internal innovation projects.


**3 years of experience in data science/analytics required**


Key Responsibilities

• Build and deploy Python-based ML and analytics solutions

• Support AI transformation and workflow automation initiatives

• Develop reusable data products and internal tools

• Present findings and demos to technical and non-technical stakeholders

• Work across analytics, modelling, dashboarding, and experimentation

• Collaborate with consultants, digital teams, and client stakeholders

• Contribute ideas and help shape new service offerings


Key Details

• Salary: £63,000 base + up to £13,000 annual bonus

• Working model: Hybrid (2–3 days per week in Victoria, London)

• Tech stack: Python, SQL, Azure/cloud technologies, ML tooling

• Sponsorship: Exceptional candidates only

Interested? Please apply below.

About the employer

Harnham
Apply now

Apply on the employer's website

Apply now

Apply on the employer's website


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