At a Glance
- Tasks: Design and build forecasting models using cutting-edge machine learning techniques.
- Company: Join Synechron, a global leader in digital transformation and innovative technology.
- Benefits: Enjoy flexible work arrangements, competitive salary, and professional development opportunities.
- Other info: Be part of a diverse team committed to inclusion and growth.
- Why this job: Make a real impact by translating financial data into reliable forecasts.
- Qualifications: 4+ years in data science with strong skills in ARIMA and XGBoost.
The predicted salary is between 63000 - 77000 £ per year.
Work Type: Hybrid / Open for full-time & Contract
About Company: At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
About this role: We are looking for a mid-level Data Scientist (4+ years of experience) to help build and maintain forecasting models. You will work with time series methods such as ARIMA and gradient-boosted models such as XGBoost, developing solutions natively within Microsoft Fabric. This role suits someone who enjoys translating real-world financial data into reliable, production-ready forecasts.
What You Will Do:
- Design, build, and validate time series forecasting models (ARIMA, exponential smoothing) and machine learning models (XGBoost) for various business forecasting processes.
- Utilize data pipelines within Microsoft Fabric to ingest, clean, and transform structured and time-indexed data.
- Evaluate model performance using appropriate statistical and ML metrics (MAPE, backtesting) and iterate on feature engineering and model selection.
- Suggest and implement recommendations to enhance model outcomes/additional models as data structures and business needs evolve.
- Deploy and monitor models in production, ensuring forecasts refresh reliably on schedule within Fabric pipelines.
- Partner with the ML team and other stakeholders to translate forecasting requirements into modelling approaches and communicate results and model limitations clearly to non-technical audiences.
- Document modelling assumptions, and validation results to support governance and audit requirements.
- Stay current with developments in time series and ML forecasting methods and recommend improvements to existing modelling practices.
- Support the wider ML team with utilizing the model outputs in business-oriented user interfaces.
What You'll Bring:
- 4+ years of experience in a data science, quantitative analytics, or applied statistics role, ideally with exposure to financial.
- Hands-on experience building and tuning ARIMA (or similar classical time series) models and XGBoost (or comparable gradient-boosting) models.
- Working knowledge of Microsoft Fabric.
- Proficiency in Python (pandas, stats models, scikit-learn, xgboost) and/or PySpark, solid SQL skills.
- Understanding of core statistical concepts: stationarity, seasonality, autocorrelation, cross-validation for time series, and bias-variance trade-offs.
- Strong communication skills, with the ability to explain modelling choices and forecast uncertainty to non-technical stakeholders.
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
Nice to Have:
- Familiarity with MLOps practices (model versioning, CI/CD for ML, monitoring for drift) within Fabric or Azure ML.
- Exposure to actuarial, insurance, or macroeconomic forecasting contexts.
Machine Learning Developer employer: Synechron
Synechron is an exceptional employer that champions digital innovation and offers a vibrant work culture where creativity thrives. With a commitment to diversity, equity, and inclusion, employees enjoy flexible workplace arrangements and robust career development opportunities, all while collaborating with a talented team on exciting projects for globally recognised clients. Located in a dynamic environment, this role as a Graphic Designer & Illustrator provides the chance to make a meaningful impact in a forward-thinking company dedicated to transforming businesses through technology.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Developer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Synechron!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Developer at Synechron.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Synechron.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Developer at Synechron, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Developer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Synechron, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Synechron. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Synechron
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Synechron!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
