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Lead Data Scientist
  • Job type: Permanent
  • Location: Berlin
  • Salary: Competitive
  • Description Be a Data Scientist Leader in a digital paradise in the Fintech Industry. Would you like to work somewhere where you are truly recognised, and rewarded? Where everyone in the organisation understands
Data Scientist
  • Job type: Permanent
  • Location: London
  • Salary: Competitive
  • Description Job Title: Data Scientist Location: London, United Kingdom Salary: Competitive Base + Bonus Interested in being part of an award-winning cosmetics company in the heart of London
Lead Data Scientist
  • Job type: Permanent
  • Location: Munich, Bayern
  • Salary: Negotiable
  • Description Ready to make an impact with AI? This Boston-founded company is the world premier AI Platform-as-a-Service organisation, empowering enterprises to rapidly build and deploy data science solutions
Senior Data Scientist
  • Job type: Permanent
  • Location: Berlin
  • Salary: Competitive
  • Description Are you eager to further develop your skills in the exciting field of Natural Language Processing? After successfully launching their market leading product, my client is looking for a Senior Data

A data scientist turns a vast amount of data into useful insights that help a company compete and grow. They analyze and interpret data from various sources to come with solutions. Data scientists analyze and organize data such as market research, logistics and sales figures.    
Data scientists have various functions depending on the sector or industry in which they work. They combine practical skills, such as mathematics and coding, with the ability to analyze data and statistics. 

Job Specification, Salary, Outlook
Data scientists should be business and technology focused with an aptitude for statistics and mathematics. Several years of experience and the combination of these two in-demand skills will help a big data engineer to earn an above average salary, and expertise in this area can make for a very lucrative career. For the best career prospects, it’s important to stay up to date with developments and trends in this field.  

Typical employers of data scientists:

  • Research institutions and universities
  • The government
  • Banks
  • Manufacturers
  • Large retailers 
  • Airlines
  • Big data companies 
  • Marketing departments and marketing agencies

So how much do big data engineers earn? It depends on a number of factors, but the average salary for big data engineers in the United States is $91,152 per annum, with a range of $61,546 - $135,400. Factors that affect the level of salary include job location, technical skills, on-the-job experience, and academic background. Salary and other facilities are largely dependent on your ability to deliver results and level of experience. In the UK, an average salary of £38,455 per year can be expected, with a range of £26,121 - £61,460.

Job Description
Data scientists run, use and develop analysis tools for organizations. A data scientist analyzes systems and processes to extract insights from unstructured and structured data. They also evaluate alternate theoretical models and run analytical experiments.  Data scientists take vast amount of data points and use their expertise in programming, statistics, maths and to organize, massage and clean the data. They also apply their technical knowledges and analytical skill to find solutions to business challenges.  

Typical Responsibilities:

  • Developing statistical learning models for data analysis
  • Collaborating with engineering departments and product management to devise solutions 
  • Communicating ideas and results to key decision makers
  • Optimizing development efforts through project design and appropriate database use 
  • Implementing new mathematical or other statistical methodologies for specific analysis or models  
  • Creating clear, tailored and insightful reports
  • Conducting analysis of statistical data to develop strategies
  • Executing analytics projects 
  • Building model training and new algorithms 
  • Identifying trends and data patterns 
  • Creating, maintaining, and managing analytical data
  • Analyzing collected data to develop various predictive models
  • Running diagnostics and detecting anomalies
  • Performing graphical model analysis

Key Skills & Qualifications      
This field is relatively new, so education and training institutions are updating and expanding their offerings and programs to support a career as a data scientist. A degree in computer sciences, mathematics, computer engineering or statistics is required, and a post-graduate degree can be beneficial.

Required job skills:

  • Expertise in data mining/ statistical modeling 
  • Experience in data mining, predictive modeling, and data analysis techniques
  • Experience with SQL Servers
  • Great attention to detail and the ability to problem solve
  • Experience in (or a willingness to learn) database interrogation and analysis tools, such as Hadoop, SQL and SAS
  • Excellent planning and organizational skills
  • A collaborative approach to sharing ideas and finding solutions
  • The ability to prioritize, multitask, and manage time effectively
  • Excellent written and verbal communication skills 
  • Comfortable in both a team-player and leadership role 
  • Goal-oriented and organized team player
  • Knowledge of programming languages such as R or Python
  • Strong database design and coding skills
  • Knowledge of techniques and tools in machine learning 
  • Experience in logistic, genetic algorithms and statistical methods, decision tree analysis, PCA, and linear regression 
  • Good interpersonal and communication skills
  • The ability to articulate trends and opportunities clearly and confidently 

Job Trends  
It is expected that the career opportunities for data scientist will continue to increase in the coming years. Organizations are becoming more and more aware of the value of using big data to make informed, strategic business decisions and to see the big picture.