Business Development Associate

Job description

Summary 

We are looking for a motivated and high-achieving Business Development Associate based in London to join the team working on our exciting machine learning product. This is a full-time placement with significant opportunities for personal development.


We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world.


The Company 

causaLens is pioneering a completely new approach to time-series prediction. Its Enterprise Platform is used to transform and optimise businesses that need accurate and robust predictions – including significant businesses in finance, IoT, energy and telecoms. Almost all current machine learning approaches, including AutoML solutions, severely overfit on time-series problems and therefore fail to unlock the true potential of AI for the enterprise. causaLens was founded with the mission to devise Causal AI, which does not overfit, and so provides far more reliable and accurate predictions. The platform also includes capabilities such as autonomous data cleaning and searching, autonomous model discovery and end-to-end streaming productisation.


causaLens is on a mission to build truly intelligent machines that go beyond current machine learning approaches - a curve-fitting exercise. Devising Causal AI has allowed us to teach machines cause and effect for the first time - a major step towards true AI.


causaLens is run by scientists and engineers, the majority holding a PhD in a quantitative field. For more information visit www.causaLens.com or contact us on info@causaLens.com. Follow us on LinkedIn and Twitter.


causaLens in the News


Roles and Responsibilities

This is a very exciting and strategic role for a smart and creative person. It is varied and involves a combination of strategic & critical thinking, analysis and engagement with internal and external stakeholders. The successful applicant will be resourceful, organised and motivated to increase sales, enhance the company's reputation, and look for new and creative ways to market our product. Examples include: 

  • Identifying new opportunities and manage the full sales cycle from finding new prospects

  • Evaluating New Use-Cases

  • Market Research across verticals

  • Communicating the value proposition across different personas, use-cases & verticals


Benefits

  • The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference
  • Competitive remuneration
  • Share option scheme
  • Pension scheme
  • 32 days paid holiday allowance (incl. bank holidays)
  • Equipment you need to get the job done (MacBook Pro etc.)
  • Good work-life balance
  • Opportunities for continued learning and self-development, including courses, conferences and book budget
  • Flexible work-from-home and remote days
  • Cycle to work scheme
  • Weekly journal club and knowledge sharing presentations
  • Regular team outings, pizza Thursdays and annual company retreats
  • Fruits, snacks and soft drinks in the office
  • Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm


Logistics

Our interview process consists of an intelligence test, interview and an on-site visit. We will do our best to transparently communicate the process with the successful candidates.

Job requirements

Core requirements

  • Highly capable, self-motivated, collaborative and personable 

  • Strong academic record 

  • Strong commercial skills gained from a professional background 

  • Conducting market research and identifying potential clients.

  • Cultivating strong relationships with new clients, while maintaining existing client relationships.

  • Collating and maintaining client information in the CRM database.

  • Developing and implementing sales strategies, client service and retention plans, and analyzing sales data to inform or update marketing strategies.

  • Working closely with staff across departments to implement growth strategies.

  • In depth understanding of advanced technologies such as machine learning 

  • Experience of using and/or ability to learn to use sophisticated technology 

  • Able to demonstrate integrity, drive and natural curiosity 

  • Effective problem solver