Netrolynx AI
Data Scientist

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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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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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.
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