Data Scientist/ Machine Learning Engineer

Overview:

My client is looking for consultants with mid-senior level competency to step in immediately, with little Onboarding, and make an instant impact to provide more structure within their AI team.

You need to bring serious value as a Machine Learning Specialist and Data Scientist. Firstly, help improve Onboarding/ training, and then be pivotal in bridging together data analysis, machine learning, and business strategy.

All in all, you will build intelligent solutions that drive decision-making and automation across the organisation!



Roles and Responsibilities:

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Model Development & Deployment: Design, train, and deploy machine learning models for classification, regression, recommendation, or clustering problems using real-world datasets.
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Data Analysis & Feature Engineering: Perform exploratory data analysis (EDA), clean and reprocess large datasets, and create meaningful features to improve model performance.
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Algorithm Optimisation: Optimise models using techniques like cross-validation, hyperparameter tuning, ensemble methods, or neural networks.
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Stakeholder Collaboration: Work closely with product managers, analysts, and engineers to define data-driven strategies and align on business goals.
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Continuous Learning & Innovation: Stay up to date with the latest research in AI/ML, evaluate emerging tools/technologies, and apply them to real-world problems.
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Documentation & Reporting: Document methodologies, model assumptions, and performance metrics. Communicate findings through reports, dashboards, or visualisations.



Skills and Qualifications:

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Bachelor's or Master's in Computer Science, Data Science, Statistics, Mathematics, or a related field (PhD is a plus).
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3+ years of experience in applied machine learning or data science roles.
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Proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow or PyTorch) and SQL.
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Strong understanding of statistical modeling, supervised/unsupervised learning, and evaluation metrics.
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Experience with cloud platforms (Azure) and MLOps tools (e.g., MLflow, SageMaker, Airflow) is a plus.
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Excellent communication skills and the ability to present complex results to non-technical stakeholders.



Why work for this company?

* This is a great opportunity for you to join a newer team within a leading Swedish IT company!
* They have a rich history of over 40 years with a team of over 600 professionals.
* Collaborate with experts in software development, data analytics, and domain-specific knowledge to create solutions that make a difference.
* Whether it's optimising public transport systems, enhancing logistics operations, or developing intelligent HR solutions, your work will directly contribute to improving services that affect thousands of people daily.
* Flexible working arrangements/ location.



If this sounds like an environment you would thrive in, send me a DM, apply below, or reach out through one of my channels!

Look forward to hearing from you..