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Harnham

Data Scientist

London
£65k/yr
Posted 1 day ago
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Data Scientist

London (2 days per week onsite) | Up to £65,000

Looking for a Data Scientist role where you can combine advanced analytics with meaningful client engagement? This is an opportunity to join a well-established data and analytics organisation, delivering predictive modelling solutions and helping organisations make better decisions through data. You'll work across a variety of projects, shaping analytical outcomes while collaborating with both technical and non-technical stakeholders.

The Company

They are a leading data and analytics business that combines consultancy expertise with proprietary data products. Working across sectors including utilities, financial services, telecommunications, and the not-for-profit space, they help organisations unlock value from their data through advanced analytics, modelling, and insight generation.

With a strong focus on innovation and practical application, they provide data-driven solutions that support customer engagement, marketing effectiveness, and business performance.

The Role

As a Data Scientist, you will be responsible for designing, building, and deploying predictive models that solve real-world business challenges.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Key responsibilities include:

  • Building and refining predictive models, including propensity and scoring models
  • Analysing large datasets to identify trends, opportunities, and actionable insights
  • Working closely with clients to understand commercial challenges and project objectives
  • Leading data discovery sessions with business stakeholders and subject matter experts
  • Presenting analytical findings and recommendations to both technical and non-technical audiences
  • Collaborating with Project Managers, Data Analysts, and industry specialists throughout project delivery
  • Contributing to the development and optimisation of analytics products and solutions
  • Supporting model monitoring, validation, and continuous improvement activities

Your Skills & Experience

  • Strong commercial experience using Python and SQL
  • Experience building predictive, propensity, classification, or scoring models
  • Ability to analyse complex datasets and translate findings into business recommendations
  • Experience presenting insights and recommendations to stakeholders or clients
  • Strong communication skills with the confidence to engage directly with customers
  • Understanding of machine learning techniques and model development lifecycle
  • Experience working with Databricks would be highly advantageous
  • Exposure to cloud-based analytics environments, particularly Azure, is beneficial
  • Consultancy, agency, or client-facing analytics experience is desirable

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What They Offer

  • Salary up to £65,000
  • Hybrid working with 2 days per week in the London office
  • Exposure to a wide variety of industries and business challenges
  • Opportunity to work with large-scale datasets and advanced analytics projects
  • Strong collaboration across Data Science, Analytics, and Product teams
  • Clear opportunities to develop both technical and client-facing skills
  • A supportive environment that encourages continuous learning and professional growth

How to Apply

If you're a Data Scientist looking to work on impactful predictive modelling projects while developing your client-facing and technical expertise, apply today to find out more.

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Skills

Python
SQL
Predictive Modelling
Propensity Modelling
Classification Models
Scoring Models
Databricks
Azure
Machine Learning
Stakeholder Management
Data Analysis
Client Engagement

Location

London, England, United Kingdom

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