Netrolynx AI logo

Data Scientist

Netrolynx AIApplies on LinkedInData & Analytics
Hiring from
United Kingdom
Work type
Hybrid
Posted
Sep 28, 2026
Is this job info correct?
About The Company

Alexander Mann Solutions - Contingency is a leading global provider of talent acquisition and workforce solutions, dedicated to helping organizations build agile, diverse, and high-performing teams. With a proven track record of delivering innovative staffing strategies, AMS supports clients across various industries by leveraging cutting-edge technology and industry expertise. Committed to fostering inclusive workplaces, AMS emphasizes sustainable talent practices that align with organizational goals and future workforce needs. Our global presence and tailored approach enable us to address complex talent challenges, ensuring our clients stay competitive in an ever-changing business landscape.

About The Role

We are currently seeking an experienced Data Scientist to join our client, a prominent global consulting firm, on an initial 12-month contract basis. This role offers the opportunity to work within a dynamic, client-facing environment where your analytical expertise will directly influence strategic decision-making. The successful candidate will be based in offices located in London, Birmingham, or Bristol, and will be responsible for developing sophisticated machine learning models, analyzing large datasets, and communicating insights effectively to both technical and non-technical stakeholders. This position requires a proactive problem-solver with a strong foundation in data science methodologies, who can thrive in a collaborative setting while delivering impactful solutions.

Qualifications

The ideal candidate will possess a combination of technical expertise and practical experience, including:

  • Strong proficiency in Python, with experience in data analysis, machine learning, and automation tasks.
  • Solid knowledge of SQL for data querying, manipulation, and analysis.
  • Hands-on experience in developing, implementing, and optimizing machine learning models and algorithms.
  • Excellent communication skills to articulate complex data insights clearly and effectively.
  • Prior experience working in client-facing roles or consulting environments is highly desirable.
  • A degree in Computer Science, Data Science, Statistics, or a related field is preferred.

Responsibilities

The Data Scientist will be responsible for a range of activities aimed at leveraging data to drive business value, including:

  • Design, develop, and deploy machine learning models to address key business challenges and facilitate data-driven decision making.
  • Analyze and interpret large, complex datasets to identify trends, patterns, and actionable insights that support strategic initiatives.
  • Prepare, clean, and transform data from multiple sources to ensure quality and readiness for analysis and modeling.
  • Evaluate, tune, and monitor machine learning models continuously to maintain high levels of accuracy and reliability.
  • Collaborate closely with technical teams and business stakeholders to understand requirements, communicate findings, and deliver tailored data science solutions.
  • Document methodologies, processes, and results to ensure transparency and knowledge sharing across teams.

Benefits

Joining our client offers a range of benefits designed to support your professional growth and work-life balance, including:

  • Competitive salary package commensurate with experience.
  • Opportunity to work with leading industry experts on innovative projects.
  • Flexible working arrangements, with options for remote work and office-based collaboration.
  • Access to ongoing training and development programs to enhance your skills and career progression.
  • Supportive work environment that values diversity, inclusion, and collaboration.
  • Potential for contract extension or transition to permanent employment based on performance and business needs.

Equal Opportunity

Alexander Mann Solutions is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, religion, or any other characteristic protected by law. Our goal is to foster a workplace where everyone feels valued, respected, and empowered to contribute their best.

Similar jobs

Apply on LinkedIn