Senior Data Scientist
About the job
- 6–8+ years of professional experience in data analysis, statistical modeling, computer vision, or machine learning, including at least 4 years as a Data Scientist.
- Hands-on experience deploying machine learning models to production.
- Strong proficiency in Python, NumPy, pandas, scikit-learn, matplotlib, and PyTorch.
- Understanding of Windows or Linux software development platforms.
- Excellent written and spoken English for international client communication and presentations.
- Expertise in at least one of computer vision, large language models, or time series analysis.
- Experience with TensorFlow, PyTorch, XGBoost, and LightGBM.
- Proficiency with Git, Linux, Docker, MLflow, Airflow, and at least one of AWS, Google Cloud Platform, or Microsoft Azure.
- Solid SQL and data visualization skills.
- Ability to structure project teams, make technical decisions, and own outcomes.
- Ability to manage multiple projects simultaneously.
- Proactive and self-driven approach with strong organizational skills.
- Excellent presentation and communication skills.
- Business-oriented mindset and ability to translate insights into actionable recommendations.
- Mentoring attitude and willingness to support team growth.
- Design and implement computer vision, machine learning, and artificial intelligence models, including predictive, classification, large language model, and recommendation systems.
- Select and optimize algorithms, including regression, tree-based models, and neural networks.
- Integrate models into production environments.
- Perform data cleaning, feature engineering, and model validation.
- Identify tools and specify processes.
- Mentor junior team members and contribute to solution architecture.
- Prepare and present analytical results to business and technical stakeholders.
- Lead projects end-to-end, from initial client discussions and solution design through production deployment of machine learning models.
- Proven experience leading projects and managing teams.
- Experience in presales, client workshops, or building proof-of-concepts.
- Familiarity with Hadoop and Spark.
- Research or research and development background.
About the company
Digica provides customized, production-grade AI and software development services as an engineering partner. They help startups and large companies deploy AI in real-world, mission-critical environments by turning AI demos into robust, autonomous systems that operate without constant human oversight. Their work spans AI, computer vision, edge computing, IoT, and embedded systems, with a focus on edge AI and rugged deployments for industries like healthcare, manufacturing, and defense. Unlike some competitors, the company is owner-led and emphasizes strengthening a client’s existing operations and workforce, including support for legacy equipment and sparse data, rather than offering off-the-shelf products. The goal is to deliver reliable, scalable AI solutions that are field-tested and production-ready across multiple sectors.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
Hatfield, United Kingdom
Founded
1994
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Simplify's Take
What believers are saying
- Digica launched Toradex robotics work on 07.03.2025, showing active customer demand.
- Digica won BAE Systems manufacturing work on 25.06.2025, validating enterprise traction.
- Digica's 2025 partner streak suggests cross-sell momentum across robotics, cloud, and rugged edge AI.
What critics are saying
- Services revenue depends on a few big projects; any slip crushes utilization quickly.
- No product platform exists; competitors like Accenture and niche AI boutiques can undercut margins.
- Defense and industrial buyers demand reliability; a failed deployment damages references and sales for years.
What makes Digica unique
- Digica ships rugged edge AI for defense, robotics, and manufacturing, not demos.
- Digica joined Google Cloud Partner Advantage on 08.08.2025, strengthening deployment credibility.
- Digica's 2025 collaborations with Toradex, ANYbotics, and J-Squared prove deep systems integration.
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Benefits
- Flexible Work Hours