Associate Data Scientist (London office)
London, England, United Kingdom
Applications have closed
Euromonitor
Explore Euromonitor for comprehensive market research & industry analysis. Stay updated with market trends, data, and insights for informed business decisions.Our Data Science objectives are R&D activities and interdisciplinary approach to facilitate the use of cutting-edge methodologies, technologies and innovation in delivering syndicated products such as VIA or custom data science and analytics solutions to our clients.
In Data Science we work with the data from fast-changing consumer goods world. Data comes both from standardized databases and from online retail channels in various forms like semi-structured text in various languages, images, or precise numeric values.
We have already developed 400+ ML models which help us to identify consumer good attributes our clients are interested in.
As an Associate Data Scientist, you will join the team and assist in developing, maintaining and improving existing ML models according to our client feedback, and suggest new ways looking at the data which would result in new products. Besides this, you will have to use various data analysis techniques to ensure data quality and find business insights.
Key responsibilities:
- Develop and maintain ML models both for supervised and unsupervised learning;
- Monitor and ensure data quality;
- Communicate insights effectively in both written and visual way;
- Support internal and external client requests;
Requirements
- Background in mathematics/statistics/computer science/engineering or working experience in relevant field.
- Experience with Python/R.
- Knowledge of statistical modelling, analysis, data processing, and data visualization.
- Working knowledge of SQL, understanding of cloud computing.
- Statistically rigorous manner.
- Basic experience in model training, validation strategies and hyper-parameters tuning.
- Familiarity with natural language processing, image recognition – a plus.
- Interest in artificial intelligence and machine learning.
- Good command of English in both verbal and written forms.
Benefits
Why work for Euromonitor?
Our values
We act with integrity
We are curious about the world
We are stronger together
We seek to empower
We find strength in diversity
International: not only do we have a very multinational workforce in each office but we are all dealing with our 15 offices worldwide on a daily basis. With 15 offices globally there are regular opportunities for international transfer.
Hardworking but sociable: our staff know how to work hard but also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of sports and other groups to be involved with.
Committed to making a difference: We think that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights, amongst many other activities.
Excellent benefits: we offer highly competitive salaries, enhanced healthcare and pensions, plus generous holiday allowances and in many offices a Core Hours policy allowing flexible start and finish times to each day.
Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our managers and directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent.
Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data visualization Engineering Machine Learning Mathematics ML models Model training NLP Python R R&D SQL Statistics
Perks/benefits: Career development Flex hours
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