Senior Data Scientist

Job expired!

Join Our Team as a Senior Data Scientist at Simple Machines

Simple Machines is a prominent independent technology firm with a unique focus on bringing data to life. With a global footprint that includes offices in London, Sydney, San Francisco, and New Zealand, we are renowned for our abilities to blend data, AI, machine learning, and software engineering into seamless, innovative solutions.

At Simple Machines, we are committed to transforming enterprises, technology firms, and governmental entities by enhancing their understanding and connectivity with various data-driven entities. Our team excels in designing tailored data platforms, deploying intelligent systems, and transforming raw data into actionable insights.

About the Role: Senior Data Scientist

As a Senior Data Scientist at Simple Machines, you will lead significant projects that merge science and strategy to drive commercial value through data science and machine learning. We value candidates with a solid foundation in data science and AI, coupled with a proven track record in applying these skills in real-world business applications.

In this role, you will balance technical expertise with practical business needs, fostering strong client relationships while building your consulting acumen.

Technical Responsibilities:

  • Model Development: Create predictive models using advanced statistics, ensuring accuracy through rigorous validation and testing.
  • Causal Analysis and Uplift Modelling: Determine the causality of interventions and enhance business outcomes.
  • Feature Engineering: Utilize SQL, Scala, Python, or R for data extraction and advanced engineering, aiming for efficiency with modern tools like VertexAI and Tecton.
  • Deployment and Integration: Launch models in cloud and containerized setups with seamless integration into systems like PowerBI and monitoring with Grafana.
  • Generative AI and Large Language Models: Oversee the integration and ongoing performance of ground-breaking technologies like GPT-4 and Gemini.
  • Pipeline Automation: Leverage tools such as Apache AirFlow and AWS Glue for efficient model performance monitoring and data management.

Consulting Responsibilities:

  • Strategic Advisory: Offer high-level guidance on employing data science effectively to optimize business strategies.
  • Project Leadership: Steer data science projects, aligning them strategically with business objectives, ensuring timely and budget-friendly delivery.
  • Stakeholder Engagement: Demystify complex data concepts for non-technical stakeholders, aiding strategic decision-making.
  • Innovation and Research: Remain on the cutting edge of data science, incorporating the latest research into genuine business scenarios.

Requirements:

Candidates should possess a robust background in technical tools like Python, R, SQL, TensorFlow, and PyTorch. A strong grasp of statistical analysis, machine learning algorithms, and rich professional experience in data-centric roles is essential.

Educational Background: Preferably a Master’s or PhD in Data Science, Computer Science, Statistics, or a related area.

What We Offer in the UK:

  • Competitive Salary with Comprehensive Benefits
  • Pension Plans with 5% Employer Contributions
  • Generous Annual Leave plus Special Leave Provisions
  • Health and Wellbeing Allowance
  • Professional Development and Certification Budgets
  • State-of-the-art Technology Equipment

If you are passionate about utilizing technology for impactful data engineering and wish to contribute to a world-class technology enterprise, Simple Machines could be your next great opportunity.

We encourage individuals eager to drive real change through data innovation to apply for this challenging yet rewarding role of Senior Data Scientist.