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For Companies At a Glance
- Tasks: Lead data science projects, develop AI solutions, and mentor junior data scientists.
- Company: Capco is a global consultancy focused on transforming financial services through innovative technology.
- Benefits: Enjoy a flat structure, ongoing learning, and competitive family-friendly benefits.
- Why this job: Work on impactful projects with major banks and be part of a diverse, inclusive culture.
- Qualifications: Experience in data science, machine learning, and cloud environments; strong leadership skills required.
- Other info: Join a team of 800+ data professionals dedicated to driving insight and performance.
The predicted salary is between 43200 - 72000 £ per year.
Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different.
ABOUT US
Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees.
We are/have:
- Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains.
- Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc.
- Committed to growing our business and hiring the best talent to help us get there.
- Focused on maintaining our nimble, agile and entrepreneurial culture.
What we’re looking for:
As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow its UK Data Practice in our London office.
The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development.
The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output. In addition to this, they will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels.
Responsibilities
- Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems.
- Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts.
- Help transition from development environment to production.
- Act as a subject matter expert in data science and machine learning and coach other data scientists.
Essential skills
- Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems.
- Comfort with rapid prototyping and disciplined software development processes.
- Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras).
- Demonstrated ability to work on multi-disciplinary teams with diverse skillsets.
- Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD).
- Experience of working in cloud environments (Azure, GCP, AWS).
You are also expected to have:
- Excellent leadership skills.
- Able to articulate complex data science concepts to both technical and non-technical audiences.
- Banking and/or Financial Services experience.
- Entries into Kaggle Competitions.
- Creativity, resourcefulness and a collaborative spirit.
Data at Capco
Capco’s global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding and use of data to derive value.
WHY JOIN CAPCO?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
We offer:
- A work culture focused on innovation and creating lasting value for our clients and employees.
- Ongoing learning opportunities to help you acquire new skills or deepen existing expertise.
- A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
- A diverse, inclusive, meritocratic culture.
- Enhanced and competitive family friendly benefits, including maternity/adoption/shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
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Senior Data Scientist employer: The Capital Markets Company GmbH
Contact Detail:
The Capital Markets Company GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your hands-on experience with data science and machine learning solutions. Highlight specific projects where you've tackled complex business problems using Python and relevant ML libraries, as this aligns perfectly with what Capco is looking for.
✨Tip Number 2
Demonstrate your leadership skills by discussing any experience you have in mentoring or coaching other data scientists. Capco values collaboration and the ability to articulate complex concepts, so be ready to share examples of how you've done this in the past.
✨Tip Number 3
Familiarize yourself with Capco's focus on financial services. If you have experience in banking or financial services, make sure to highlight it. This will show that you understand the industry and can bring valuable insights to their team.
✨Tip Number 4
Engage with the data science community by participating in Kaggle competitions or similar platforms. Mentioning your involvement in these activities can demonstrate your creativity and resourcefulness, traits that Capco highly values.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Highlight Your Unique Skills: Capco values individuality and diversity. Make sure to showcase what makes you different in your application. Highlight your unique skills, experiences, and perspectives that you can bring to the Senior Data Scientist role.
Demonstrate Technical Expertise: Clearly outline your hands-on experience with data science and machine learning solutions. Mention specific tools and technologies you are proficient in, such as Python, Spark, or TensorFlow, and provide examples of how you've applied them to solve business problems.
Showcase Leadership Experience: Since the role requires excellent leadership skills, include examples of how you've led teams or projects in the past. Discuss your experience in mentoring or coaching other data scientists, as this is a key aspect of the position.
Tailor Your Application: Customize your CV and cover letter to align with Capco's values and the job description. Use keywords from the job listing to demonstrate that you understand their needs and how you can contribute to their goals.
How to prepare for a job interview at The Capital Markets Company GmbH
✨Showcase Your Unique Perspective
Capco values individuality and diversity, so be sure to highlight what makes you different. Share your unique experiences and how they have shaped your approach to data science and problem-solving.
✨Demonstrate Technical Expertise
Prepare to discuss your hands-on experience with Python and various ML libraries. Be ready to provide examples of how you've implemented data science solutions in real-world scenarios, especially in financial services.
✨Emphasize Leadership and Collaboration
As a Senior Data Scientist, you'll need excellent leadership skills. Talk about your experience leading teams and how you've successfully collaborated with diverse groups to achieve project goals.
✨Prepare for Technical Questions
Expect technical questions related to model design, architecture, and deployment. Brush up on your knowledge of DevOps, MLOps, and cloud environments like Azure or AWS to confidently answer these queries.
