1 week ago

Data Scientist

Birmingham 60 - 65 Permanent

Data Scientist

Salary: Up to £65,000 + Fantastic Benefits

Location: Fully Remote or either Edinburgh, Newcastle, Leeds, Manchester, Liverpool, Birmingham, Bristol or London offices.

Working hours: 35 hour week - spread over 4 or 5 days


  • Contributory pension on up to 5%
  • 25 Days Holiday + Public Holidays + Buying extra holiday days (up to 5 days per year)
  • Private healthcare for individual and immediate family.
  • Death in service of 4 x base salary
  • Eligibility to apply for an interest free season ticket loan, an interest free gym membership loan and/or an interest free rental deposit loan.
  • Cycle to work
  • Agile Working – the possibility of working from home and/or remotely.
  • Employee Offers – discounts on various purchases including hotel stays, mobile phone contracts, theatre tickets, sporting events, holidays and insurance

Buzz words - Data Scientist / Data Science / Cloud / Azure / Python / NLP / Data Factory

An opportunity has come up to work for a genuine market leading in their field, as they have put in place ambitious and exciting plans for a Data Scientist to join their team.

This opportunity and role will be a massive part of the organisations growth, and there will be lots of opportunity to be creative and have lots of input when it comes to planning, direction and growth with everything Data Science as it will be a new team but from scratch while reporting to the Head of Data Management, you will be involved in helping define, build, and maintain our data science and AI offering using a robust, modern tech stack, so if progression, opportunity and excitement is what you’re looking for, then this will be the role for you!

Although with this opportunity you will be the only Data Scientist initially! you will work closely with a big team of Analysts, Developers, Architect etc all within the Data team, and this team is very diverse as it continues to grow.

Main Duties and Responsibilities

  • Drive the entire model development lifecycle, building, testing, and delivering high quality solutions 
  • Select features for, build and optimise NLP machine learning models
  • Apply best practices for conducting reproducible research and well-managed software delivery
  • Develop A/B testing frameworks and test model quality
  • Evaluate and make recommendations for data gathering techniques that will improve the efficacy of machine learning models and other analytical systems
  • Help efficiently maintain cloud infrastructure for research, staging and beta/pilot environment 
  • Develop and implement industry standard auto-ML models (Speech, Computer vision, Text Data, Azure Cognitive Services)
  • Design, deploy, build, test and maintain machine learning models in a production environment
  • Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing)


  • Degree level candidate ideally in computer science, maths, system analysis or a related study, or equivalent experience 

Relevant Experience Required

  • Proven industry experience building ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications
  • Commercial experience with Microsoft Azure services, including AzureML, Azure Databricks, Azure Data Factory, etc
  • Experience with Python libraries like SpaCy, NumPy, Pandas, SciKItLearn
  • Exposure to NLP libraries (e.g. NLTK, Gensim, Word2Vec, openNLP)
  • Familiarity with state-of-the-art transformers in NLP such as BERT, RoBERTa, XLNet etc

If you like the sound of this opportunity, and want to apply, please forward an up to date version of your CV and someone at the Digital Waffle team will contact you within 24 hours.

Buzz words - Data Scientist / Data Science / Cloud / Azure / Python / NLP / Data Factory

Buzz words - Data Scientist / Data Science / Cloud / Azure / Python / NLP / Data Factory

Buzz words - Data Scientist / Data Science / Cloud / Azure / Python / NLP / Data Factory

Buzz words - Data Scientist / Data Science / Cloud / Azure / Python / NLP / Data Factory

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