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- Tasks: Apply data science to economic analysis and build machine learning models for impactful projects.
- Company: Join Oxford Economics, a leader in economic forecasting and consulting.
- Benefits: Enjoy private healthcare, flexible working, and enhanced parental leave.
- Why this job: Make a real difference in economic impact while developing your technical skills.
- Qualifications: 2-5 years in data science or economics; strong Python skills required.
- Other info: Collaborative environment with opportunities for career growth and innovation.
The predicted salary is between 36000 - 60000 £ 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.
Department: Economic Impact Consulting
Location: London, UK
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
Required Skills, Knowledge & Expertise:
- 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:
- 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 - Economic Impact - London employer: Oxford Economics
Contact Detail:
Oxford Economics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (Sr.) Economist / Data Scientist - Economic Impact - London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving R, Python, or machine learning models. This will give you an edge and demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and economics. Be ready to discuss your past experiences and how they relate to the role. Confidence is key, so rehearse until you feel comfortable!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace (Sr.) Economist / Data Scientist - Economic Impact - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of (Sr.) Economist / Data Scientist. Highlight your experience with R, Python, and any cloud platforms you've used. We want to see how your skills match 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 background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! Whether it's econometric models or machine learning applications, we want to know what you've done and how it relates to the role. Include links if possible!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at Oxford Economics!
How to prepare for a job interview at Oxford Economics
✨Know Your Data Tools
Make sure you brush up on your skills with R and Python, as these are crucial for the role. Be prepared to discuss specific projects where you've applied quantitative techniques to large datasets, and maybe even share some insights on the models you've built.
✨Communicate Clearly
Since you'll be communicating with clients and colleagues, practice explaining complex economic concepts in simple terms. Think of examples where you've successfully conveyed technical information to non-specialists, as this will show your ability to bridge the gap between data and decision-making.
✨Show Initiative
Come ready with ideas on how to enhance the quality of analysis within the team. Think about creative solutions you've implemented in past roles and be prepared to discuss how you can bring that same innovative spirit to Oxford Economics.
✨Project Management Skills
Be ready to talk about how you plan and structure your project work. Highlight any experience you have with managing timelines and ensuring quality assurance, as this will demonstrate your ability to lead projects effectively.
