Junior Data Scientist

**Why Synthesis?**:
Data Scientists at Synthesis develop models and analytical frameworks designed for the sharpest insights and marketing professionals in the world. Rooted in culture, tested in data science, Synthesis is known for delivering exceptional data products and consultancy services which unravel human and consumer stories, and inspire our clients with the confidence to act.

The marketing and research industry has for too long relied on ‘question-response’ approach to understanding changes in behaviour. We prioritise layering behavioural, performative, search and other open data sources to highlight the discrepancies between what people say they do and what they _actually _do. We see a $40 billion industry that has failed to innovate for too long and we are just getting started.

**The role**:
We are looking for a junior data scientist to join our team. Data Scientists at Synthesis develop models and analytical frameworks designed for the sharpest insights and marketing professionals in the world. You’ll become an expert in aggregating information from open data sources, advocating for the power of data to solve problems for business and for society as a whole, and layering datasets to build a complete picture of people’s behaviour - working with search, social, advertising & ecommerce datastreams to name a few.

**You’ll need**
- A solid understanding of statistical analysis and hands-on experience with one or more of the following programming languages: Java, Python or R.
- Experience in building data visualisations using off the shelf software or packages with R, Python, Gephi, Tableau etc. Familiarity with quick prototyping techniques for data viz work is an advantage.
- Confidence 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.
- Ability 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.
- Openness and enjoyment of 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.

**Advantageous, but not required**:

- Fluency in a second language (native level)
- Familiarity working for FMCG, luxury, beauty, tech, media or gaming brands (agency/ client side)
- Knowledge of quantitative, statistical and qualitative research techniques and analysis
- Familiarity with programming languages and data visualisation tools: R, Java, Python, Tablea.

**About Working Here**

We work in tight-knit project teams, meaning you’ll work side by side with other cultural strategists & data scientists to interpret meaning in the data patterns we see, and present your work to our client partners, so you see first-hand the impact your work has. We are a diverse team, we value creativity, ‘plussing’ mindset and collaboration. To help create this we offer flexible working and a supportive environment. This includes the following benefits:

- 20 days paid vacation per annum + public holidays + whole company paid ‘reading week’ between Christmas and New Year.
- 10:00-15:00 core working hours for meetings, otherwise flexible working.
- 12 weeks paid maternity leave or 4 weeks paid paternity leave.
- Performance Program to support continuous learning, including an annual conference or learning budget, time allocated for learning and mentorship.