WHD Consulting Ltd.
Data Scientist

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Data Scientist - Maidenhead (Hybrid) - Permanent
I am looking for a Data Engineer / Data Scientist for a company in the Maidenhead area. Work is Hybrid – 3 days onsite, 2 days remote. You will be leveraging your analytical skills and programming experience to extract insights from complex datasets, develop predictive models and support decision making.
KEY RESPONSIBILITIES
Data Analysis & Modelling:
- Analyse large, complex datasets to identify trends, patterns, and actionable insights.
- Develop, implement, and optimize machine learning models to solve business problems.
- Conduct A/B testing and experimental analysis to validate hypotheses.
Data Management & Engineering:
- Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency.
- Design and develop ETL pipelines and workflows for data preprocessing.
- Develop automated tests to validate the processes and models you create.
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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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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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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.
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.
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.
Collaboration & Communication:
- Collaborate with stakeholders to define project goals, requirements, and deliverables.
- Actively participate in design meetings to help shape the solutions that the team delivers.
- Present findings and recommendations to technical and non-technical audiences.
- Acquire domain knowledge to inform modelling opportunities and model feature creation.
Technical Leadership:
- Mentor junior data scientists and provide peer reviews for modelling projects.
- Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities.
QUALIFICATIONS
Education:
- Bachelor’s degree in data science, Statistics, Mathematics, or a related field.
Experience:
- 2 or more years of experience in a data science or analytics role.
- Proven experience in building machine learning models, statistical analysis, and predictive analytics.
- Experience designing experiments or modelling approaches to solve a specified business problem.


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PREFERRED QUALIFICATIONS
- Proficiency in programming languages such as Python or R; knowledge of R is an advantage.
- Experience with SQL and working knowledge of relational databases.
- Proficiency with data visualisation tools and techniques.
- Experience with AWS is a plus.
- Strong problem-solving and critical-thinking abilities.
- Excellent communication and presentation skills.
- Ability to manage multiple projects and prioritize tasks effectively.
If this exciting opportunity could be of interest - please let me know ASAP. Interviews can be arranged at short notice.
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