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For Companies At a Glance
- Tasks: Analyse and operationalise data to drive impactful solutions in a fast-paced environment.
- Company: Join a global tech leader based in Belfast, known for innovation and excellence.
- Benefits: Negotiable daily rate, potential for contract extension, and dynamic team culture.
- Other info: Engage in a creative environment with opportunities for continuous growth.
- Why this job: Make a real difference by leveraging data for legal and operational outcomes.
- Qualifications: Strong SQL and Python skills, with experience in data analysis and teamwork.
The predicted salary is between 30000 - 40000 £ per year.
Daily Rate - Negotiable
Start date - ASAP
Duration - 6 months (Extension likely)
Unlock the potential of data in a global technology leader shaping the future. Join a dynamic team dedicated to leveraging data for impactful legal, operational, and regulatory outcomes. This is your chance to apply your analytical skills in a fast-paced environment, contributing to innovative solutions and automations that make a real difference.
Work within a global technology company based in Belfast, known for its innovative approach and commitment to excellence. With a diverse team spread across multiple regions, the company specialises in developing cutting-edge solutions, from AI and machine learning to data-driven legal compliance tools. You will be part of a forward-thinking environment that values creativity, technical expertise, and continuous growth.
About you
- Strong proficiency in SQL with the ability to write complex queries
- Experience in Python for building data pipelines and automation
- Comfortable working with cross-functional teams and managing multiple priorities
- Excellent communication skills and a proactive mindset
- Ability to handle high-pressure scenarios and meet urgent legal deadlines
What you'll do
- Support the Data Science team by sourcing, analysing, and operationalising data across platforms
- Execute ad hoc data requests using SQL, Python, and internal tools
- Develop internal tools and automation to streamline legal workflows
- Investigate and retrieve data collaboratively with product, legal, and engineering teams
- Contribute to dashboard creation, ML model deployment, and process improvements
- Maintain and enhance the shared repository of scripts and utilities
- Engaged in documenting workflows and exploring AI deployment opportunities
For further information on this job, apply via the link or contact the VANRATH office for a confidential chat today. Follow VANRATH on LinkedIn for expert career advice, the latest jobs, industry news and much more.
Skills: SQL, Python, Javascript, ML, Data science
Data Science Analyst - Contract employer: VANRATH
Contact Detail:
VANRATH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Analyst - Contract
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Data Science Analyst gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Python projects, and any data visualisations you've done. This is your chance to demonstrate your analytical prowess and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and scenarios. We recommend practising your problem-solving skills and being ready to discuss how you’ve tackled real-world data challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are eager to make an impact in a fast-paced environment.
We think you need these skills to ace Data Science Analyst - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any experience with data pipelines and automation. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Science Analyst position and how you can contribute to our innovative team. Keep it concise but impactful – we love a good story!
Show Off Your Communication Skills: Since you'll be working with cross-functional teams, it's important to demonstrate your communication prowess. In your application, mention any experiences where you successfully collaborated with others or managed multiple priorities.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our dynamic team in Belfast!
How to prepare for a job interview at VANRATH
✨Master Your SQL Skills
Since strong proficiency in SQL is a must for this role, make sure you brush up on writing complex queries. Prepare to discuss specific examples of how you've used SQL in past projects, and be ready to solve a few SQL problems during the interview.
✨Showcase Your Python Expertise
As Python is essential for building data pipelines and automation, come prepared with examples of your work. Think about discussing any projects where you've implemented Python to streamline processes or improve efficiency, and be ready to demonstrate your coding skills if asked.
✨Communicate Effectively
Excellent communication skills are key, especially when working with cross-functional teams. Practice explaining complex data concepts in simple terms, and be ready to share how you've collaborated with others to achieve common goals in high-pressure situations.
✨Prepare for High-Pressure Scenarios
Given the urgency of legal deadlines, think of examples from your past where you've successfully managed tight timelines. Be ready to discuss how you prioritise tasks and maintain quality under pressure, as this will show your proactive mindset and ability to thrive in a fast-paced environment.