Rodeo
ResourcesPartnersSign in

Aquent

Data Science Engineer [210211]

Reading
£38 – £42/hr
Posted 1 day ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Job Title: Senior Data Scientist – EDU rSAM & Growth Analytics

We are seeking a Senior Data Scientist to design, build, and scale an advanced EDU rSAM (Remaining Sales Addressable Market) model to identify and quantify untapped revenue opportunities across global education markets.

  • Role Overview: You will partner closely with cross-functional stakeholders to develop a deep understanding of the education sector, including complex subscription models, institutional procurement structures, and consortium-based purchasing dynamics. This role sits at the intersection of data science, commercial strategy, and go-to-market execution.

  • Key Responsibilities:

    • Collaborate with Data Engineering teams to integrate and operationalise third-party datasets (e.g., student population and institutional metrics), building rich and actionable customer intelligence profiles that inform strategic decision-making.
    • Work alongside Product Marketing and Sales Strategy teams to ensure analytical outputs are effectively aligned to go-to-market strategy, pricing frameworks, and broader commercial objectives at the product-offering level.
    • Design, build, and productionise scalable end-to-end data pipelines, incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs.
    • Combine EDU rSAM outputs with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities.
    • Deliver high-impact strategic insights on market sizing and customer propensity trends to senior leadership, enabling robust, data-driven decision-making and long-term commercial planning.

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.

Start with a chat, not a search bar

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.

P

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.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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.

See breakdown
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.

See breakdown
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.

Skills & Experience

  • 5+ years’ advanced SQL experience, with a strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments.
  • Strong Python skills for data manipulation, statistical analysis, and predictive modelling.
  • Proven experience developing, validating, and optimising data science models that directly drive revenue growth and commercial performance.
  • Experience with propensity modelling and related predictive analytics techniques is highly advantageous.
  • Strong ability to translate complex analytical outputs into clear, compelling insights for senior stakeholders and cross-functional audiences.
  • Excellent analytical thinking and problem-solving skills, with experience operating in fast-paced, high-growth environments with evolving business priorities.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Client Description

A multinational cloud-based software company specialising in a series of products designed to drive creative innovation across multimedia. Used by millions around the world for personal and professional use across all industries.

Company Commitment

Aquent is dedicated to improving inclusivity and is proudly an equal opportunities employer. We encourage applications from under-represented groups and are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability, or neurodivergence.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

SQL
Python
Data Manipulation
Statistical Analysis
Predictive Modelling
Data Science Models
Revenue Growth
Commercial Performance
Propensity Modelling
Analytical Outputs
Problem-Solving
High-Growth Environments
Data Pipelines
Customer Intelligence
Market Sizing
Customer Propensity Trends

Location

Reading, England, United Kingdom

Sign up to applySee more jobs like this