Data Scientist

  • Think Big Analytics, A Teradata Company
  • London, GB
  • Permanent
  • 2 weeks remaining

    Think Big provides expert advisory and implementation services for open source big data solutions. As the first and only pure-play big data services firm, our Data Scientists and Engineers are trusted advisors to the world’s most innovative companies. Our experienced teams combine a distinctive methodology and a proven Think Big Velocity Framework that includes tested design patterns and pre-built components, to help clients build applications faster. Think Big helps Customers leverage big data analytics by integrating open source platforms, such as Hadoop, NoSQL and streaming engines, with best-of-breed data warehousing environments. Service offers include a big data roadmap, data engineering, data lake and analytic operations, training and ongoing big data solution support.Our Data Science team delivers insights and value to clients from heterogeneous data sets with solutions that integrate into engineering and decision making processes. Additionally, our team enables big analytics for our clients through advisory services including use case prioritizations, tool selection and training, and capability definitions. Our success as a services firm relies on our experts’ ability to be more than technologists and statisticians.The Data Scientist will be responsible for utilising advanced statistical and machine learning methods to answer business questions and deliver insightful solutions to complex problems. The ideal candidate has excellent interpersonal and communication skills and can interact with business and technology stakeholders where necessary.

    Specific Responsibilities

    The Data Scientist will

    • Design hypothesis tests, oversee test execution, and evaluate the results
    • Model, predict and classify data
    • Utilise machine learning and large-scale data mining techniques to discover and identify

    actionable patterns in the data Customer workshops

    • Help define and document business requirements and acceptance criteria
    • Assist in or lead workshops and documenting relevant outcomes
    • Identify opportunities and appropriate solutions (e.g. algorithms and libraries)
    • Present to both technical and non-technical stakeholders, internally and in a Customer

    facing capacityAgile cross-functional teamwork

    • Contribute to sprint planning, provide realistic estimates and plan deliverables
    • Attend stand-ups and retrospectives
    • Research, design, evaluate, build, tune and document end to end data science solutions
    • Understand and solve scalability and production issues

    Documentation and coding standards

    • Adhere to coding standards and best practices at BDP
    • Ensure all models are validated and all business logic is robustly tested

    Qualifications

    Required Knowledge, Skills, and AbilitiesThe following are a list of relevant skills expected from the successful candidateMust

    • Have a minimum of five years professional experience
    • Have clear written and spoken English
    • Have experience presenting to business stakeholders
    • Have experience formalising data science solutions based on a set of business

    Requirements

    • Have demonstrable experience of delivering a data science solution to production
    • Have knowledge and experience of the products software lifecycle
    • Have an excellent understanding of machine learning and statistics
    • Have well-developed quantitative skills and analytical thinking
    • Have experience in scaling data science methods and accounting for non-functional

    Requirements

    • Have demonstrable professional experience in Python or R
    • Have demonstrable professional experience in Scala, Java or C
    • Be proficient with version control tools and strategies, ideally Git and Gitflow
    • Have hands-on work experience with
    • Data Analysis and visualisation tools and work benches
    • Analysing structured and semi-structured data
    • Data query languages, e.g SQL,HiveQL or similar

    Should

    • Hands-on work experience/proficient with

    ○ Spark○ Scikit-learn and Pandas

    • Have experience with integrating Data Science within products or enterprise solutions

    Desirable

    • Hands-on work experience/proficient with ○ Distributed systems

    ○ Hadoop ecosystem○ Cloud-based machine-learning APIs

    • Have sufficient knowledge of NLP
    • Have experience with TDD, BDD and Continuous Integration

    Education

    • Must have relevant undergraduate degree, e.g. ML, Mathematics or Computer Science
    • Must have a Master’s or Ph.D. in Statistical Modelling, ML or similar subjects

    Work Environment

    • We offer a great package competitive salary, discretionary bonus scheme (paid monthly), 24 days holiday, private medical healthcare, Nuffield health assessment, life insurance, matched pension contribution (up to 6%) and income protection. In addition to this we offer a variety of flexible benefits.
    • Think Big offices are based in the News UK building in London Bridge. However, we are often required to spend time with our Customers on-site. This allows us to collaborate, align and integrate with our Customers and their teams. Working with Customers outside of London can necessitate overnight stays and you will be required to participate in travel-based work as a Think Big team member.
    • Not your average place to work inspiring and passionate people; a dynamic, relaxed and collaborative culture. A chance for you to join a rapidly expanding organisation with ambitious growth targets, where you can make your mark and shape the future.

    About Think Big

    Think Big, provides data science and engineering services that enable organizations to accelerate their return on investment from big data. These business-driven solutions include analytics in areas such as manufacturing device events, omni-channel consumer behaviour, and customer service behaviour, as well as governed data lakes that provide business value. As the first and only pure-play big data services firm, our Data Scientists, Data Engineers, and Project Managers have deep expertise in helping the world’s most innovative companies strategize, architect, implement, analyse data on, and manage open source big data solutions.Think Big helps Customers leverage big data analytics by integrating open source platforms, such as Hadoop, NoSQL and streaming engines, with best-of-breed data warehousing environments. Because we embrace a range of vendor-neutral options, we can recommend the best combination based on specific business needs. We don’t get paid or incentivised to sell software or hardware, so we can put aside vendor noise to implement the most flexible, reliable big data solutions that quickly increase revenue, operational efficiency and customer satisfaction.What do we do?Big Data Strategy Roadmaps that prioritize the possible to create more value, and much sooner than you expect.Data Engineering Solution design and delivery aligned to core business objectives.Analytics and Data Science Deeper questions and new approaches to solve existing problemsand seize new opportunities.Managed Services and Training Management and optimization of Big Data systems to improve performance, and training to increase organizational adoption.


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