ADLIB Recruitment | B Corp™
Data Tools & Python Analyst

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Build clever tools, shape data products, and support high-impact projects
Join a growing data tools team building smart automation and web scraping solutions.
Heavy focus on Python, SQL, tooling, APIs, and data pipelines.
Real variety across web scraping, sentiment analysis, internal development, and client-driven tasks.
As a Data Tools & Python Analyst
You’ll join a specialist team that builds tools, pipelines, and automation used across a wide range of analytical projects. This role suits someone early in their career who enjoys solving technical problems, creating clever scripts, and working with data in a hands-on way. You’ll work under a highly technical specialist and become part of a team that is growing quickly, with more analysts being hired throughout the year.
What you’ll be doing
In this role, you’ll help design, build, test, and refine tools that make complicated data straightforward and accessible. You’ll produce clear, accurate reporting, manage data pipelines, and support client-facing project work. You’ll work on internal dashboards and surveys, external tools, and larger commercial data products. You’ll also work on web scraping projects, collecting product and market data, and supporting analysis linked to stock market sources and sentiment research.
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.
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.
You’ll help create Python tools, automate data collection, build API integrations, and support data cleaning and structuring. A lot of the work is bits-and-pieces problem solving, picking up small but important tasks that keep larger projects moving. You’ll shadow senior team members early on, gradually taking more ownership as you become confident with the team’s tooling and processes.
You’ll write clean, maintainable code, help automate tasks, and contribute to shaping future ways of working. You’ll be involved in training across the business, sharing knowledge, and helping others learn new tools and techniques.
You’ll be required to come into the London office three days per week.
What experience you’ll need to apply
- A 2:1 degree or above (or equivalent) in a quantitative, technical, or analytical subject
- Minimum of a year of experience working in an analyst role (or a role with similar responsibilities to the above)
- Solid working knowledge of Python, with experience writing clean, readable, and maintainable code
- Practical experience using SQL for querying and working with datasets
- Exposure to data pipelines, APIs, or automation through academic projects, internships, or commercial work
- Experience in web scraping and data collection techniques
- Experience with Tableau (preferred) or PowerBI
- Strong analytical and problem-solving skills
- Proficiency with Excel for analysis and data manipulation
- A portfolio (GitHub, notebooks, small projects, Tableau Public, etc.) is beneficial but not required


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What you’ll get in return for your experience
This role offers a salary of up to £47,000 (DOE) plus benefits, along with strong progression opportunities.
You’ll join a team that is growing quickly and investing in modern tooling, data engineering approaches, and AI-enabled methods. You’ll gain exposure to varied work, from internal reporting to client-facing tool development, giving you both breadth and depth in your technical career. You’ll also have access to formal training, peer learning, and continuous support from experienced technical specialists.
What's next?
Apply today and we’ll get in touch to arrange a call if it’s a good fit!
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