Spait Infotech
Data Scientist

How your CV stacks up
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Key Responsibilities
- Collect, clean, preprocess, and analyze large datasets.
- Develop and implement machine learning and statistical models.
- Identify trends, patterns, and actionable insights from data.
- Perform exploratory data analysis (EDA) and feature engineering.
- Build, evaluate, and optimize predictive models.
- Work with structured and unstructured data.
- Create dashboards and visualizations to communicate insights.
- Collaborate with business teams, data engineers, and software developers.
- Monitor model performance and improve models when required.
- Present findings and recommendations to technical and non-technical stakeholders.
- Maintain documentation for data analysis, models, and methodologies.
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.
See breakdownIt 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.
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.
Required Skills


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Your very own career expert that helps elevate your application to the next level.
- Strong knowledge of Python or R.
- Good understanding of statistics, probability, and machine learning.
- Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Strong SQL and database knowledge.
- Experience with data visualization tools such as Power BI, Tableau, or Matplotlib.
- Knowledge of supervised and unsupervised learning techniques.
- Understanding of data preprocessing, feature engineering, and model evaluation.
- Strong analytical and problem-solving skills.
“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
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