Data Scientist

**Synthesis is a creative data consultancy.**:
We work with industry-leading brands, like Netflix, PepsiCo, Airbnb, and Nike, to identify advantages to future-proof their strategy and execution.

We do this by making sense of the world’s data through our unique synthesis of deep human understanding and robust data science.

We are looking for a **Data Scientist**to join our dynamic and diverse team **who are culturally curious and passionate about data storytelling.**

Our team is nimble, diverse, and adaptable. Together we represent a variety of experiences - from computer science, digital anthropology, engineering, advertising, to gaming and law.

As a Data Scientist at Synthesis, you’ll develop models and analytical frameworks designed for the sharpest insights and marketing professionals in the world, helping them prioritise the issues that matter most to their business and spot where the next big change will come from.

We aggregate information from open data sources. You’ll become an expert in layering data to build a complete picture of people’s behaviour using search, social, advertising & ecommerce sources. Projects run end-to-end: from dataset design, to data gathering, cleaning, modelling, and visualisation.

Ours is a spirit of continuous experimentation. You’ll collaborate with experienced data scientists and present to clients alongside cultural strategists, so you’ll see firsthand the impact your work has.

**We will have a great working relationship if you...**
- Have 1-3 years of experience working with data, and coding experience in R/Python (including relevant internship experiences)
- Are comfortable with open-ended challenges and finding creative solutions
- Are interested in consumer behaviour, cultural shifts, and the digital landscape
- Have the drive to learn and master new technologies and techniques
- Have strong written and communication skills (English), especially in a multidisciplinary team

**Requirements**:

- You have a solid understanding of statistical analysis and hands-on experience with one or more of the following programming languages: Python, R, or Java.
- You have experience in building data visualisations using off-the-shelf software or packages with R, Python, Gephi, Tableau, Power BI, Looker, etc. Familiarity with quick prototyping techniques for data viz work is an advantage.
- You are comfortable working with large, complex, unstructured datasets, with a focus on text and image processing. Natural language processing skills, including topic modelling and semantic parsing, especially for Asian languages and short texts, will be an advantage.
- You’re able to communicate your analysis in simple, non-technical terms and relish the prospect of working alongside a team of strategy consultants to move from analysis to implication for business.
- You enjoy iteratively developing your ideas, drawing on the value of the diverse experience and perspectives of those around you. You recognise the value of having an array of approaches at your disposal rather than focusing solely on one methodology or model.

**About Working Here**

We are a diverse team that values creativity, a ‘plussing’ mindset, and collaboration. To help create this, we offer flexible working and a supportive environment. This includes the following benefits:

- Twice yearly, an uncapped profit share bonus scheme—so everyone is collectively rewarded for business success.
- 20 days of paid holidays per annum, plus public holidays, and a company-wide ‘reading week’ between Christmas and New Year.
- 10:00-15:00 core working hours for meetings, otherwise flexible working.
- No meeting Friday, wherever possible, to secure Friday as a focus working day.
- Opportunity to work remotely for up to 4 weeks per calendar year.
- Performance Program to support continuous learning, including an annual conference or language learning budget, time allocated for learning, and mentorship.
- Health insurance and additional cash allowance for health and well-being expenses.
- 12 weeks paid maternity leave or 4 weeks paid paternity leave.