Data Scientist: Python, SQL, Power BI, Econometrics

  • Location

    London, England

  • Sector:


  • Job type:


  • Salary:

    £500 - £550 per day

  • Contact:

    Christopher Hague

  • Contact email:

  • Job ref:


  • Published:

    12 months ago

  • Expiry date:


  • Start date:


  • Client:


Data Scientist: Python, SQL, Power BI, Econometrics, Statistical Modelling

Data Scientist: Python, SQL, Power BI, Econometrics, Statistical Modelling

The work location is in London and is a 6 month contract.

Pay Rate is between £500 - £550 per day.



  • You will be supporting the Food Analytics Team in delivering the advanced analytics projects. In addition, you will be required to design and develop new reports and applications to support the requirements of the Food business.
  • Using advanced analytical techniques and reporting, you will be providing the Foods area with the ability to interact with and understand their key performance indicators. Enabling areas to make informed, accurate and timely decisions whilst providing data driven solutions to complex commercial and logistical challenges.


  • Interpreting data, analysing results using advanced econometrics and statistical techniques such as regression, optimisation, random forest etc.
  • Develop and prepare reports and insight for stakeholders to monitor performance, as well as presenting and illustrating findings to ensure key learnings are understood.
  • Work closely with stakeholders to fully understand requirements and provide collaborative solutions based on a commercial and analytical understanding.
  • Become an advocate for creating a data driven business by illustrating the power of analytics and reporting.
  • Work collaboratively with the other analysts in the team to create a thriving analytics environment where knowledge and ideas are shared.

Key Skills:

  • Expert level knowledge of advanced data mining and statistical modelling: Predictive modelling techniques (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID) etc.
  • Demonstrable programming ability in different programming languages such as Python, R
  • Deep hands on experience on processing extremely large data sets
  • Strong data visualisation skills. Knowledge of Power Bi is a big plus
  • Excellent interpersonal skills and proven ability to communicate technical information to a non-technical audience
  • Strong SQL experience
  • Strong ability to upscale junior folks in the team
  • Evidence an ability to manage time effectively due to shifting priorities and deliver to fixed timescales
  • Excellent communication skills and able to present confidently to senior stakeholders
  • Can work using own initiative and deliver under pressure
  • Has demonstrated a hunger to challenge the status quo and influence at all levels in an organisation
  • Exceptional problem solving, analytical and numerical skills.
  • Ability to interact with the business to understand their needs and interpret how they could be fulfilled using the available data.
  • Enthusiasm and desire to learn new tools and techniques
  • Excellent communication and organisational skills with the ability to work in a team or as individual.


  • Exposure to Big Data environments such as Hadoop Impala / Hive.
  • Working knowledge of a Retail or FMCG organisation.
  • Knowledge of Food Supply Chain & Logistics systems and processes beneficial.
  • Experience working in a fast paced and effective Analytics or Insight functions