Lead Data Scientist (Manchester)

Location: Manchester

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About BrightTALK - discover your journey with BrightTALK here!

BrightTALK brings professionals and businesses together to learn and grow. Over 10 million professionals engage with 100,000 free talks and 1,000 online summits to discover new technologies, learn from trusted experts and grow their careers. Thousands of businesses acquire and inspire their ideal audience with BrightTALK's AI-powered content and demand marketing platform.

We are looking for a talented and passionate Lead Data Scientist to join BrightTALK’s Product Team, working in our Data Science and Engineering team based in the UK.
The Data Science and Engineering Team is responsible for analysing and advancing our platform data to drive our business success.

A significant element of this role will be to apply data science capabilities into our products to advance the value we deliver to our platform users and customers. This may include:

    • Transforming, aligning, cleansing, augmenting and exposing data in order to improved the quality and effectiveness of data consumed by our users and customers
    • Designing and advancing models, data points, analytics and insights that motivate desired behaviour from users and customers
    • Closely coordinating with engineering teams to coordinate data related developments in terms of requirements via documentation, presentations and meetings
    • Closely coordinating with data and non data specialists across the wider business
    • Extracting valuable business insights and trends for internally used reporting and analytics and quill require a
    • Developing a strong understanding of our business, product and motivations of our users and customers
    • You will be playing a major part in a team of data scientists and engineers has a big impact on BrightTALK current and future success!


    • Undertaking data collection, preprocessing and analysis
    • Building models to address business problems
    • Presenting information using data visualization techniques
    • Defining requirements, and working with, engineers to implement into platform
    • Coordinate with and support team members in delivering team assignments


    • Proven experience as a Data Scientist or Data Analyst
    • Experience in data mining
    • Understanding of machine-learning and operations research
    • Expert Knowledge of SQL and Python; familiarity with R, Scala, Java or C++ is an asset
    • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
    • Analytical mind and business acumen
    • Strong math skills (e.g. statistics, algebra)
    • Problem-solving aptitude
    • Excellent communication and presentation skills

Expertise or Qualifications

    • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
    • Advanced knowledge of AWS tooling an advantage

Why we like working at BrightTALK

    • Friendly, talented, collaborative and entrepreneurial teams.
    • Generous and comprehensive health and dental benefits, including 100% healthcare coverage for employees.
    • Generous holiday policy, flexible schedule and 4 weeks of PTO in the U.S. and 5 weeks of PTO in the U.K. in your first year at BrightTALK.
    • 401k matching program in the U.S. and pension contribution in the U.K.
    • Offices located in top destination cities.
    • Training allowance and regular innovation days.
    • Team building and paid volunteer time.
We are dedicated to learning and growing, going after big dreams, taking ownership, remaining open and honest while recognizing we are in it together. We are committed to hiring individuals with a diversity of perspectives, backgrounds, and beliefs who can use their passion to help us build a world changing audience and thrive along the way. Join BrightTALK and experience a collaborative and engaged team who works together to provide learning and growth opportunities for businesses and professionals.

BrightTALK is an Equal Opportunity Employer and does not discriminate on the basis of ethnicity, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

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