Remote Data Scientist

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Euromonitor International

💵 $42k-$64k
📍Remote - Lithuania

Job highlights

Summary

Join our team at Euromonitor International as a passionate and innovative colleague to create cutting-edge machine learning models and take existing ones to the next level.

Requirements

  • Apply Python, R, SQL, and basic scripting (including CI/CD)
  • Use good coding practices, such as documentation, linting, reproducibility, and test-driven development
  • Maintain and improve ML models by adding/removing classes and retraining
  • Collaborate with cloud resources (SQL instances, notebooks, VMs, etc.) and pipelines
  • Apply exploratory data analysis (EDA) and classical learning techniques

Responsibilities

  • Formulate hypotheses and develop proof-of-concept ML models for NLP and Image Processing
  • Work on Supervised and Unsupervised Learning tasks
  • Translate industry-specific knowledge into actionable models
  • Ensure data quality and monitor model performance
  • Communicate insights effectively, both in written and visual formats

Benefits

  • Professional Development: Grow your career with opportunities within a consultative and professional environment
  • Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours
  • Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged
  • Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts

Job description

About Euromonitor:

Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence.

About the role:

Are you ready to shape the future of data science in the world of consumer goods? We’re looking for a passionate and innovative colleague to join our team, where you’ll create cutting-edge machine learning models and take existing ones to the next level. If you thrive on turning complex data into ground-breaking products, this is your chance to make an impact!

What you’ll be doing:

  • Formulate hypotheses and develop proof-of-concept ML models for NLP and Image Processing.

  • Work on Supervised and Unsupervised Learning tasks.

  • Translate industry-specific knowledge into actionable models.

  • Ensure data quality and monitor model performance.

  • Communicate insights effectively, both in written and visual formats.

How you’ll be doing it:

  • Apply Python, R, SQL, and basic scripting (including CI/CD).

  • Use good coding practices, such as documentation, linting, reproducibility, and test-driven development.

  • Maintain and improve ML models by adding/removing classes and retraining.

  • Collaborate with cloud resources (SQL instances, notebooks, VMs, etc.) and pipelines.

  •  Apply exploratory data analysis (EDA) and classical learning techniques.

Salary €39,000 - €59,000 Dependant on experience.

What you’ll get for your hard work:

Professional Development: Grow your career with opportunities within a consultative and professional environment

Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours

Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged

Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts

(and more….!)

What to expect in the interview process:

We’re committed to making the interview process smooth and accessible. Let us know if you need any reasonable adjustments—we’ve got you covered.

Initial Video Call: The first stage will be a Teams call with our recruiter to get to know you better.

Profile review: Afterward, your profile will be reviewed by the hiring manager

Data Science Task: If successful, you’ll be sent a test to complete, this will allow us to access your Data Science skills further.

Video Call Interview; with the Hiring Manager and potentially another team member (explore your experience and see if there is a fit for the team and role)

Face2Face Interview; visit our office and meet the team for your final interview.

#LI-HYBRID

#LI-CM1

Our Values:

We seek individuals who act with integrity

We look for candidates who are curious about the world

We feel that as a community, we’re stronger together

We seek to enable people to feel empowered

We welcome candidates who bring strength in diversity

International: not only do we have a very multinational workforce in each office but we communicate across our 16 offices worldwide on a daily basis.

Hardworking and sociable: our staff know how to work hard and know 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 other groups to be involved with.

Committed to making a difference: We believe 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 gives all new starters a donation amount on joining us which they can give to a charity of their choice.

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.

Excellent benefits: we offer competitive salaries, enhanced healthcare and pensions, plus generous holiday allowances, hybrid working 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, colour, 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.

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