Senior Data Scientist (Remote/Hybrid)

TN United Kingdom; London; Remote; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Senior Data Scientist to join their dynamic team. This role involves leading the development of cutting-edge AI solutions and integrating machine learning into practical applications. You will work on diverse projects that enhance business operations by unifying data and improving workflows. The ideal candidate will have extensive experience in data science methodologies and a passion for problem-solving. With a supportive environment and flexible work arrangements, this is a fantastic opportunity to make a significant impact in the evolving landscape of AI and data science.

Benefits

Flexible work arrangements

Continuous learning opportunities

Competitive compensation package

Supportive team environment

Qualifications

• 5+ years of experience in data science and machine learning.
• Strong proficiency in Python and R with data manipulation libraries.
• Hands-on experience with machine learning frameworks.

Responsibilities

• Lead the design and implementation of complex data science models.
• Collaborate with cross-functional teams to leverage data for business solutions.
• Mentor junior data scientists and foster a culture of knowledge-sharing.

Skills

Data Science

Machine Learning

Python

R

Statistical Analysis

Data Visualization

Predictive Modeling

Problem-Solving

Education

Master’s or Ph.D. in Data Science

Bachelor’s in Statistics or Computer Science

Tools

TensorFlow

PyTorch

scikit-learn

Tableau

Pandas

NumPy

Job description

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Senior Data Scientist (Remote/Hybrid), London

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Client:

MLabs

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

380335198d84

Job Views:

4

Posted:

02.05.2025

Expiry Date:

16.06.2025

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Job Description:

Backed by leading global VCs and founded by executives with experience at companies like Revolut and Trade Republic, our client is on a mission to revolutionise business operations. They are addressing the challenges of fragmented tools and disconnected workflows by unifying data and coordinating human and AI agents.

They are building an operating system to orchestrate work across all tools and company functions. By understanding human decision-making and actions, their system aims to enhance effectiveness, enabling individuals to focus on problem-solving rather than tool management.

Our client is seeking a highly skilled and experienced Senior Data Scientist to join their innovative team. The ideal candidate will have a strong grasp of data science methodologies and machine learning techniques, with a proven ability to drive impactful business solutions through data insights.

As a Data Scientist, you will be instrumental in developing cutting-edge AI solutions and designing systems that integrate AI into practical business applications. This includes a focus on agentic applications for information and data retrieval, summarization, process mining, and automation. You will also develop and refine quantitative frameworks and methodologies, exploring the integration of their core platform with generative AI products. This involves evaluating various product integrations, such as embedding AI capabilities into internal portals or third-party B2B SaaS platforms like Jira. Furthermore, you will analyse how diverse data types, unstructured documents, structured datasets, and external sources can be effectively combined. You will also study knowledge workers in specialised fields like engineering and support, identifying how their customers can best leverage the expanding ecosystem of AI agents to achieve maximum value.

Responsibilities:

• Lead the design, development, and implementation of complex data science models that support business objectives and enhance operational efficiency.
• Work closely with cross-functional teams, including product managers, engineers, and stakeholders, to identify opportunities for leveraging data to drive business solutions.
• Conduct statistical analysis and interpret results to inform strategic decisions and optimize processes.
• Collaborate with team members to create predictive models and machine learning algorithms that can be integrated into existing products and systems.
• Mentor and guide junior data scientists, fostering a culture of knowledge-sharing and continuous learning.
• Stay up-to-date with the latest advancements in data science and machine learning, and apply best practices to projects.

Requirements

• 5+ years of experience in data science, machine learning, or a related field.
• Strong proficiency in programming languages such as Python, R, or similar, with experience in data manipulation libraries (e.g., Pandas, NumPy).
• Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of statistical analysis and predictive modeling techniques.
• Experience working with large datasets and data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Excellent problem-solving skills and the ability to communicate complex ideas effectively to stakeholders.
• Advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Computer Science, or a related field is preferred.
• A supportive team environment where you can grow and make a real impact.
• A competitive compensation package tailored to your experience and qualifications.
• Flexible work arrangements to support work-life balance.
• Continuous learning and development opportunities to ensure you stay at the cutting edge of AI.