Senior Data Scientist - Digital Senior Data Scientist - Digital …

Capco
in London, England, United Kingdom
Permanent, Full time
Last application, 13 Aug 19
Competitive
Capco
in London, England, United Kingdom
Permanent, Full time
Last application, 13 Aug 19
Competitive
Senior Data Scientist - Digital
Job Description:
Senior Data Scientist - Digital
Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success.

It's important to us that we recruit and develop as diverse a range of talent as we can. We believe that everyone brings something different to the table - so we'd love to know what makes you different.
About Capco
Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.
We are:
  • Experts in banking and payments, capital markets and wealth and asset management
  • Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
  • Committed to growing our business and hiring the best talent to help us get there
  • Focused on maintaining our nimble, agile and entrepreneurial culture

Capco is looking for hardworking, innovative and creative people to join our Machine learning team to work on a number of exciting new technology initiatives like Blockchain, Machine Learning, Artificial Intelligence and Open APIs.
What we're looking for:
Data Scientists experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems and have demonstrable experience using data science to see beyond the numbers.

You will work within a team responsible for developing proof of concepts and will have the opportunity to learn new coding languages and develop their own technical skills.

They will drive relationships with key clients, ensuring delivery of ongoing projects, as well as working to identify new commercial opportunities, taking pride in your ability to clearly articulate complex data strategies to non-technical stakeholders.

In addition to this, they will be expected to tap into their expertise to train and grow junior / graduate data scientists from the ground up.
Responsibilities
  • Understanding business challenges and creating valuable actionable insights
  • Performing analysis using statistical and ML methods for predictive analytics, classification, clustering and regression.
  • Clean, handle, and structure data from disparate sources
  • Enable data-driven decisions
  • Help transition from development environment to production
You will be working on various problems including;
  • Information retrieval and indexing.
  • Semantic analysis and search in multi-field documents.
  • Content categorization and classification.
  • Similarity in multidimensional data.
  • Relevance and ranking of documents.
  • Recommendation Engines
  • Anti-money laundering
Essential skills
Analytics, modelling or software development experience including coding/software development skills. In particular:
  • Able to articulate complex data science concepts to both technical and non-technical audiences
  • Experience in implementing Machine Learning algorithms (e.g. regression, classification, topic modelling, time series).
  • Experience of Python (essential), Scala/Java (desirable)
  • Experience working with big data technologies (Spark, Hadoop, Hive, Redshift, SQL or similar)
  • Experience with Data science toolkits for ML and deep learning (scikit-learn, SparkML, Tensorflow, Keras)
  • Experience in Agile development methods
  • Experience of working in cloud environments (Azure, GCP, AWS etc)
  • Experience with data visualisation tools (Tableau, QlikView etc)
  • Deploying machine learning models and systems to production
You are also expected to have:
  • Higher level degree (MsC/PhD) in a numerate discipline.
  • Strong mathematical and statistical analysis skills
Bonus points:
  • Financial services industry experience
  • DevOps experience (Git, CI etc)
  • Cloud fundamental or architect accreditations (GCP Preferred)
  • Entries into Kaggle Competitions


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