Data Scientist
London
Frontier Economics
Frontier is an economics consultancy with energy, imagination and flair. Now one of the largest economic consultancies in Europe, we started Frontier Economics in 1999 wanting to do things differently.Frontier Economics is an economics consultancy that tackles the big questions facing governments, businesses and society. We help our clients to analyse and understand their markets and to formulate strategies based on sound economics. The methods and models we use are often complex, but our advice is always succinct, clear and honest.
The company has grown rapidly since it was founded almost 20 years ago and currently has around 400 staff working across seven European offices (London, Cologne, Dublin, Paris, Brussels, Berlin and Madrid). The company is employee-owned and has a strong culture of openness and employee engagement.
Data Science at Frontier
Working with our economists, the Data Science Team use cutting edge analytical methods and tools to provide convincing, evidence-based advice to management teams, governments and competition authorities. We work with large and complex data sources, employing techniques spanning both traditional econometrics and machine learning, to explain causal relationships and deliver compelling visualisations whilst also guiding clients on how to think strategically about their data.
Job Description
Reports to: Head of Data Science
Our Data Scientists work closely with economists and the wider Data Science Team, providing specialist knowledge and skills to apply data science to projects across the Firm in all our practices.
Our Data Scientists enjoy a wide and diverse role working with people from across the Firm and deploy data science tools and techniques appropriately to deliver maximum value for our clients.
Our Data Scientists have specialist knowledge and experience in a range of data science methods and have a good understanding of how they can be applied to augment economic analysis.
Our Data Scientists lead technical workstreams as part of wider projects, clearly communicating highly technical content to non-data scientists both internally and with clients.
Our Data Scientists contribute to building our data science capability across the firm, including running development projects to test leading-edge techniques, mentoring junior members of the team and training the wider firm.
The key areas of responsibility are:
Analysis and Problem Solving:
Work on technically challenging projects spanning a range of sectors/issues/clients, using data science to increase our client impact.
Work with managers to shape the data science strategy on client projects and deliver high quality analytical outputs.
Continue to develop expertise and knowledge on leading-edge data science techniques and/or sector specific issues.
Share learning from projects and research with others in the Data Science team and across the firm.
Communication Skills:
Able to communicate empathetically with clients to understand their needs and concerns; taking time to listen, understand and respond; and bringing in colleagues where appropriate.
Communicates complex work clearly and simply internally and to clients.
Work Management:
Scope and structure your own time so you can work independently on complex tasks and deliver consistently.
Lead technical workstreams; supervising more junior team members, communicating clearly and helping shape including required outputs.
Contribute to technical discussions with clients where required, ensuring they understand and agree the brief and deliverables.
Deliver high quality outputs in an appropriate format.
Client Relationships:
Build awareness of client expectations and work to fulfil and exceed those expectations.
Seek ongoing informal client feedback appropriately and act on it.
Be seen as providing expert advice on individual tasks and work streams.
Contribution to Frontier:
Promote and build understanding of the value of data science to our work across Frontier.
Provide day to day support to individuals through project and through mentoring relationships with junior data scientists.
Act as a role model for others; inspiring, motivating and encouraging them to do likewise.
Measures of Success
Strong relationships developed across the Firm with staff knowing who you are and how you can help.
Demonstrable impact of the data science projects you have worked on across the firm to improve our delivery for clients and build internal capability.
Good feedback from stakeholders across the firm, particularly around responsiveness, ease to work with, outcome focus and knowledge.
Essential Requirements
At least two years’ experience of working in a role requiring use of data science techniques, coding languages and tools.
Good knowledge of and experience of using a range of data science approaches e,g, NLP, propensity modelling and prediction, causal inference etc.
Practical experience of working on data science projects, using GitHub, including scoping, planning and execution
Experience of working with large and varied datasets and data wrangling, using APIs and different types of databases
Strong coding ability and knowledge of best practice (in particular Python and R – knowledge of SQL would be desirable)
Ability to engage novel problems and concepts and find practical solutions using existing or unfamiliar tools quickly
Good communication skills to non-technical audiences
Ability to build effective working relationships with clients and colleagues
Fluent English (C2)
Desirable
Demonstrable evidence of an interest in economics or the sectors in which we work
Experience of working in a professional development environment
Experience in using GIS packages / working with geographic data
German, French or Spanish Language (C1/2)
Frontier is entirely employee-owned. As shareholders, we encourage everyone to share their views, allowing us to collectively influence company decisions. We also distribute as much of our profits as prudently possible through bonuses, complemented by highly competitive salaries.
We prioritise work/life balance by offering flexible working arrangements, including the option to work from home. Employees enjoy 28 days of annual leave, with the opportunity to purchase an additional 10 days.
Our stimulating and thought-provoking projects are complemented by a range of benefits that support you both inside and outside of work. Employees have access to numerous Learning & Development opportunities, including ongoing Career Development Reviews with the support of a dedicated Mentor.
Should you have any questions or would like any additional information please email recruitment@frontier-economics.com.
We are looking forward to receiving your application!
Frontier Economics is an equal opportunity employer and makes employment decisions without regard to race, colour, religion, gender, sexual orientation, gender identity, national origin, disability status, age, or any other status protected by law. We are determined that everyone has an equal chance to join us and progress their career with Frontier. We care about creating an inclusive atmosphere and are committed to promoting diversity and inclusion in all its forms. Read more about our incentives here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Causal inference Econometrics Economics GitHub Machine Learning NLP Python R Research SQL
Perks/benefits: Career development Flex hours
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Research Scientist jobs
- Open Data Engineer II jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open BI Analyst jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Engineer jobs
- Open Sr. Data Scientist jobs
- Open Lead Data Analyst jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Junior Data Scientist jobs
- Open Software Engineer, Machine Learning jobs
- Open Azure Data Engineer jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Analytics Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Analyst II jobs
- Open Data Engineering Manager jobs
- Open ETL Developer jobs
- Open Data management-related jobs
- Open Data quality-related jobs
- Open Tableau-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open LLMs-related jobs
- Open Finance-related jobs
- Open TensorFlow-related jobs
- Open Data visualization-related jobs
- Open Consulting-related jobs
- Open Deep Learning-related jobs
- Open Business Intelligence-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Hadoop-related jobs
- Open Docker-related jobs