Senior Data Scientist

DataSpartan Consulting; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading data analytics firm in London seeks a data scientist with a strong academic background and experience in applying data science methods. Responsibilities include communicating analytics concepts to business leaders. Ideal candidates possess knowledge in programming, database management, and machine learning. Competitive compensation and an innovative work environment expected.

Responsibilities

• Communicate complex analytics concepts to business leaders.

Skills

Software engineering principles

Object-oriented programming (Scala, Java, C++)

Scripting language (Python, Perl, R)

Testing frameworks and libraries

Database management languages (SQL, PostgreSQL)

Statistics, machine learning and data analytics

Big Data technologies (Spark, Hadoop)

Education

BS in Mathematics, Economics, or Computer Science

Job description

You will bring an exceptional academic background in a technical field combined with experience in developing and applying data science methods in a commercial context. You share our curiosity for new methods and technologies and our enthusiasm for data science challenges. You are able to communicate complex analytics concepts in a clear and concise manner to business leaders.

In this role, you will:

• – You’ll need some proficient qualifications such as a BS in Mathematics, Economics, or Computer Science and as you’ll be dealing with computer software and excel spreadsheets, a competent knowledge of computers is an absolute necessity.

Qualifications and Skills

• – Deep and passionate knowledge of software engineering principles, practices
• – Proven knowledge of object-oriented programming e.g. Scala, Java, C++ etc.
• – Knowledge of at least one scripting language e.g. Python, Perl, R etc.
• – Deep knowledge of testing frameworks and libraries
• – Good knowledge of database management languages e.g. SQL, PostgreSQL
• – Knowledge of statistics, machine learning and data analytics techniques
• – Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
• – Commercial application of data science work is desired but not essential

Apply to join our team!

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