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Data Scientist (Junior), London, UK

Job Type:
Job Sector:
Job Category:
Data Science & Data Engineering
300 to 400 per day
Salary Description:
Job Ref:

We are seeking strong candidates with advanced analytics experience to start an exciting Data Scientist career within a start up. The role provides an opportunity to design and build analytics methodologies, solutions, and products to deliver extraordinary value to its users in collaboration with software engineers, designers and venture architects. Exceptional candidates will show an analytical curiosity going beyond the immediate requirements of the venture to find deep insights that others have missed. They will ask questions about outliers, seek to understand the fundamental drivers of advantage and look for clues that may change the basis of competition.

The primary responsibilities of a Junior Data Scientist involve research and advanced analysis. Responsible for gathering and analyzing complex data assets, exploratory analysis and statistics, modeling and algorithm design, identifying insights, and building strong analytics solutions. The team interaction centers on intensive analysis of objective data and models, as well as open discussion with the larger venture team. Responsibilities / duties to include: gathering and organizing large and complex data assets, building models and algorithms to analyze and explore data, form hypotheses, reach conclusions and communicate those findings in a structured way.

Education & Experience:
• Degree in a field linked to computer science, applied mathematics, statistics, machine learning, or related data centric areas, or
• Relevant internships or up to 3 years of post-college industry experience
• Passion for and interest in data science topics
• Autonomous self-starter, drive and energy, and desire to work in a Start-up environment
• Creative, yet structured problem solver
• Able to work in a fast-paced environment and to manage multiple tasks in parallel
• Strong interpersonal credibility, reliability, and service mentality
• Highest ethical standards, able to maintain discretion and confidentiality
• Written and verbal communication skills in English, preferably also in a second language

Technical competencies
• Experience in the following analytics methods:
o Machine learning: e.g. Random Forest, neural networks
o Predictive modeling: e.g. logistic regression, linear regression
o Geographic Analysis (location-allocation, travelling sales person, vehicle routing problem)

• Stong candidates additionally have experience with one or more of the following methods:
o Geographic cluster recognition and manipulation techniques
o Statistics (t-tests, ANOVA)
o Variable reduction (FA, PCA)
o Segmentation/clustering techniques
o Time series analysis: e.g. ARIMA, VAR, etc.
o Text mining & unstructured data analytics
o Agent-based simulation
o Optimization, e.g. linear programming, heuristic approaches

• Familiarity with a broad base of analytics tools – preferably one or more per category:
o Data management, e.g. Alteryx, Excel, SQL, PostGRESql, or similar
o Analytics platforms and languages, e.g. R, Python, RapidMiner, SPSS, or similar
o Data visualization, e.g. Tableau, Qlik, or similar
o Geographic information system (GIS): ESRI incl. Network Analyst, Quantum GIS, MapInfo, or similar

• Preferably experience in applied analytics for business problem solving/experience building analytical solutions (as a plus)
o Delivery fleet optimization
o Loyalty program effectiveness
o Customer segmentation and targeting
o Churn prevention

Contact Details:
Tel: 0203 301 9900
Fax: 0203 301 9901
Contact: James Jarvis

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