Hiring: Data Scientist - Python and SQL

Hiring: Data Scientist - Python and SQL

Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Develop next-gen AI products focused on knowledge discovery and intelligent search.
  • Company: Global organisation leading in AI technologies for the Life Science Industry.
  • Benefits: Hybrid working, competitive salary, and opportunities to work with cutting-edge tech.
  • Other info: Exciting chance to tackle real-world problems with innovative AI solutions.
  • Why this job: Join a team transforming how professionals interact with complex information using AI.
  • Qualifications: Experience in Python, SQL, and a passion for AI and data science.

The predicted salary is between 63000 - 77000 £ per year.

Are you building LLM, RAG or AI-powered search solutions and looking for your next challenge?

I'm working with a global organisation seeking a Data Scientist to help develop next-generation AI products focused on knowledge discovery, intelligent search, and scientific insight generation.

With a long-standing heritage supporting the Life Science Industry, this organisation is now at the forefront of applying AI-native technologies to transform how professionals discover, evaluate and interact with complex information.

  • LLMs & Generative AI
  • RAG & Retrieval Systems
  • Semantic Search & Information Retrieval
  • NLP & Embeddings
  • Agentic AI Workflows (LangGraph, LangChain etc.)
  • Production AI & MLOps

This is an opportunity to work on cutting-edge AI products that combine large-scale data, search and generative AI to solve complex real-world problems.

This role is based in London and offers hybrid working.

Hiring: Data Scientist - Python and SQL employer: Opus Recruitment Solutions Ltd

Join a dynamic and innovative team as a Cloud Platform Engineer in Newcastle, where you'll have the chance to work with cutting-edge AWS technologies and contribute to the development of modern cloud-based data platforms. Our hybrid work model promotes a healthy work-life balance, while our commitment to employee growth ensures you have access to continuous learning opportunities and career advancement. With a collaborative culture that values teamwork and innovation, this role offers a meaningful and rewarding experience in a supportive environment.

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Contact Details:

Opus Recruitment Solutions Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hiring: Data Scientist - Python and SQL

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Opus Recruitment Solutions Ltd!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Hiring: Data Scientist - Python and SQL at Opus Recruitment Solutions Ltd.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Opus Recruitment Solutions Ltd.

✨Apply Directly through Our Website

When you find a suitable opening like Hiring: Data Scientist - Python and SQL at Opus Recruitment Solutions Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Hiring: Data Scientist - Python and SQL

Python
SQL
LLMs & Generative AI
RAG & Retrieval Systems
Semantic Search
Information Retrieval
NLP & Embeddings

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Opus Recruitment Solutions Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Opus Recruitment Solutions Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Opus Recruitment Solutions Ltd

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Opus Recruitment Solutions Ltd!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.