At a Glance
- Tasks: Apply data science techniques to complex datasets and build econometric models.
- Company: Join Oxford Economics, a leader in economic forecasting and consulting.
- Benefits: Enjoy private healthcare, flexible working, and enhanced parental leave.
- Other info: Opportunity for career growth and involvement in innovative projects.
- Why this job: Make a real impact with your analytical skills in a collaborative environment.
- Qualifications: 2-5 years in data science or applied economics; strong Python skills required.
The predicted salary is between 55000 - 70000 € per year.
Oxford Economics, a leading economic forecasting and consulting firm, is seeking a senior data scientist to join its Economic Impact team. The successful candidate will report into the team lead and play a key role in delivering high-quality economic analysis and driving analytical and technical capability across the team.
Key Responsibilities
- Applying quantitative techniques to large complex datasets using R and/or Python
- Design, build and deploy econometric and machine learning models for clients across the consultancy business
- Communicating with clients effectively, responding promptly and positively to their enquiries, with progression to handling and developing client relationships
- Working with colleagues to develop research proposals and project reports
- Being able to plan and structure your own project work, ensuring sufficient time for quality assurance from senior colleagues
- Taking the initiative in suggesting ways to strengthen the quality of our analysis through creative solutions
- Taking the lead on technical aspects of project work, with progression to managing projects
Skills, Knowledge & Expertise Required
- 2-5 years’ professional experience in data science or applied economics
- Familiarity working with at least one cloud platform provider (e.g. AWS, GCP, Azure)
- Experience working in a collaborative environment using version control software (e.g Git)
- Experience building and deploying machine learning models (supervised, unsupervised, and/or deep-learning models)
- Familiarity with modern generative AI concepts (e.g embeddings, RAG pipelines, fine-tuning)
- Strong programming skills in Python; desirable to have at least one other such as R, SQL, JavaScript, etc.
- Experience working with a variety of structured and unstructured data
- Excellent written and verbal communication, including the ability to explain economic concepts and quantitative results to non-specialists
- Experience building UI dashboards to visualise and engage with complicated data (e.g. Streamlit, PowerBI, etc.)
- An understanding of using containerised workflows (e.g. Docker)
Desired
- A postgraduate degree in economics or a closely related quantitative discipline
- Experience conducting economic analyses using large complex datasets, for example company procurement databases, survey microdata, Bloomberg, etc.
- Experience working with a deep-learning framework such as PyTorch or TensorFlow
Job Benefits
Here are some of the benefits we offer in the UK to ensure you feel valued, supported, and thrive at work:
- Private Healthcare
- Employee Assistance Program
- Enhanced Maternity and Paternity Leave
- Workplace Nursery Scheme
- Cycle to Work Scheme
- Hybrid/Flexible Working
- Team Gatherings and Connection Boost!
Equal Employment Opportunity (EEO)
Oxford Economics is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
Sr. Economist / Data Scientist employer: Oxford Economics
Oxford Economics is an exceptional employer that fosters a collaborative and innovative work culture, providing employees with the opportunity to engage in meaningful economic analysis while working with cutting-edge technologies. Located in London, the company offers a range of benefits including private healthcare, enhanced parental leave, and flexible working arrangements, ensuring that team members feel valued and supported in their professional growth. With a strong commitment to diversity and inclusion, Oxford Economics empowers its employees to thrive and develop their skills in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Economist / Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving R, Python, or machine learning models. This is your chance to demonstrate your expertise and creativity, so make sure it’s easily accessible when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science and economics. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and technical skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company. So, go ahead and hit that apply button!
We think you need these skills to ace Sr. Economist / Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Sr. Economist / Data Scientist role. Highlight your experience with data science, econometrics, and any relevant programming skills like Python or R. We want to see how your background fits perfectly with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about economic analysis and how your skills can contribute to our team. Keep it engaging and make sure to mention specific projects or experiences that relate to the job description.
Showcase Your Projects:If you've worked on any interesting projects, especially those involving machine learning or complex datasets, be sure to mention them. We love seeing real-world applications of your skills, so include links to any dashboards or models you've built if possible!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Oxford Economics
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you’ll be working with. Brush up on your experience with R and Python, and be ready to discuss specific projects where you applied quantitative techniques. This will show your potential employer that you can hit the ground running.
✨Communicate Like a Pro
Since you'll be dealing with clients, practice explaining complex economic concepts in simple terms. Prepare examples of how you've successfully communicated findings in the past. This will demonstrate your ability to build relationships and convey insights effectively.
✨Show Off Your Technical Skills
Be prepared to discuss your experience with machine learning models and cloud platforms. Bring examples of projects where you’ve built and deployed models, and don’t shy away from talking about any challenges you faced and how you overcame them.
✨Plan for Quality Assurance
Highlight your project management skills by discussing how you ensure quality in your work. Talk about your approach to structuring projects and collaborating with colleagues, as this will show that you value teamwork and high standards in your analysis.
