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Data Scientist (NLP)

Eagle
Posted about 17 hours ago
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Data Scientist (NLP)

Published on Jul 09, 2021

Eagle Genomics, UK

A Product company with office in Kyiv, Ukraine.

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Experience

3-5 years

Job Type

Full-Time

Remote

Specializations

Data Engineering

Data Science & AI

What You Will Do Responsibilities

  • Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
  • Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes.
  • Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights.
  • Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members.
  • Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.

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.

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.

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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.

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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.

What You Should Bring

Must-have

  • Solid background in NLP.
  • Strong programming experience in either R or Python.
  • Working knowledge of Linux.
  • Proven track record in analyzing and interpreting large data sets and statistical analysis.
  • Degree in relevant fields such as statistics, computer science, computational biology, etc.
  • A Ph.D. Degree Is Not Required But Preferred.
  • Solid knowledge of machine learning and deep learning techniques.
  • Highly organized with meticulous attention to detail.
  • The ability to communicate clearly and effectively with specialists from your own and other fields.

Nice-to-have

  • Industrial experience working with a multidisciplinary team.
  • Publications in academic setting and patents in a commercial setting.

What You Will Get Benefits

For your professional growth:

  • Cool projects with advanced technologies.
  • Monthly education allowance for courses, training, books, events.
  • Access to all events in the Unit.City and our partner’s network.
  • Mentoring from executives that have been working at Apple, Google and Next.

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For Your Comfort

  • Flexible working hours.
  • Best-in-class IT equipment mirroring our client set-up.
  • Medical, vision, dental coverage, and life insurance (since day one).
  • Monthly commute allowance or free parking space.
  • Gym or swimming pool membership, after-work activities & hobbies.

Cutting-edge office in the center of Ukraine’s first innovation park — Unit.city.

For Your Leisure

  • Internal team-building events every month.
  • Corporate celebrations.

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Skills

NLP
Python
R
Linux
Machine Learning
Deep Learning
Statistical Analysis
Data Engineering
Mathematical Modeling
Algorithms
Data Visualization
Hypothesis Testing
Data Quality Assurance

Location

Eagle, England, United Kingdom

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