Total 12 Manager level Science / R&D / Research job vacancies in Bengaluru

We are looking for passionate Senior Engineering Managers

You will lead an agile, cross-functional development team that is working hard to develop the best travel product across platforms for our users. You will work with creative colleagues and develop a fantastic team. 

What you will do:

• Manage a talented team of 8-10 software developers, to help grow and develop them further.

• You will be responsible for the full development lifecycle of the software from testing to monitoring and incident response

• Together with your product counterpart you will agree on the OKRs for your team and take responsibility for the delivery

• You will analyze technology and resource needs to assess the feasibility of projects, and advise on future resourcing needs

• You will be responsible for the hiring process for your team

• You establish best practices for cross-team collaboration and software development processes

• You will continuously raise the engineering bar with experience and passion for software excellence

Technology:

• Our platform is built on Java (11-21), Spring, Spring Boot, we also use Go, Couchbase, BigQuery, Docker, Kubernetes, Graphite, Grafana, Kibana and GraphQL

Job Description

Applied AI is taking scientific research and applying it to business problems.

As a Manager of Applied AI engineering team, you will help drive the application of AI across our suite of products in addition to developing the thinking of our team. You will direct and shape the data science philosophy, planning and strategy for the team, as we explore multi-modal, multi lingual use cases through the use of Generative AI.

Responsibilities:

• Inspire, lead and grow a team of data scientist, Machine learning engineers, leads.
• Data Science and Technical leadership for product and across all engineering requirements.
• Clarify our Applied AI philosophy and engineering strategy to key stakeholders and drive consensus
• Continuously improve and drive engineering best practices around software engineering & lead the craftsmanship, resilience, and scalability of your solutions.
• Bring a passion to stay on top of AI trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
• Encourage innovation, implementation of cutting-edge technologies, inclusion outside-of-the-box thinking, teamwork, self-organization, and diversity.
• As a key member of the product engineering team, work with product management, architecture and professional services to deliver and maintain compelling products to market
• Ship great products under stringent deadlines and in the face of ambiguous requirements and changing business priorities.
• Be a champion for AI test discipline , and evaluation scores, in order to make AI capabilities more deterministic
• Reduce the time-to-insights window for new customers.
• Responsible for the overall development and release life cycle.

 

 

 

Job Title: Data Science Manager - AI Governance; Innovation

 

About the Tesco Data Science Team 

 

At Tesco; our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores; online; supply chain; marketing and Clubcard; where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects.   

We work on several domains and problem types: online; pricing; security; fulfilment; distribution; property; IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore; we have got a great work-life balance; team days and relaxed but engaging culture.  

  

You will be

 

As a Data Science Manager; you will help shape and expand a highly skilled team of Data Scientists focused on delivering a better understanding of the business and optimising processes based on all available data. You will have the following responsibilities: 

 

Owning the innovation process across all business and technical domains and leading the relevant development of data science algorithmic features

Develop; implement and manage AI governance frameworks to ensure ethical and responsible AI practices; while monitoring compliance with relevant regulations and standards

Setting up the team/projects for success by making sure that the projects they are responsible for are resourced appropriately and by unblocking difficult situations 

Leading framing and scoping of Data Science problems across multiple projects 

Line managing data scientists 

Support; guide and mentor the team in their daily work 

Help to define the strategic direction the overall team should take; trading off between contradicting priorities 
Conduct risk assessments; collaborate with legal and technical teams to address governance issues; and educate employees on AI policies and procedures.

Partnering with Engineering to the design complex software systems and influencing the wider team architecture 

Promote data science across Tesco; and promote Tesco across the external Data Science community 

 

 

Skills relevant for the Job

 

 

Mathematical & Statistical Understanding: 

 

A strong numerical higher degree in a mathematical; scientific; engineering or computer science discipline with application to Data Science 

The ability to use your academic knowledge and commercial experience to tackle specific business problems 

An analytical mind set and the ability to use your academic knowledge to tackle specific business problems 

A high-level expertise in Python 

Strong background in Machine Learning 

Experience with Software Engineering best practises (SDLC) 

Experience in designing reliable and scalable ML systems

Experience in open source big-data technologies and cloud 

Experience of setting up and managing open source Data Science environments 





AI Governance related Skills

Knowledge of machine learning; data science; and AI ethics.

Strong understanding of AI technology and ethical considerations

Knowledge of legal and regulatory frameworks related to AI and data protection

Experience in data governance and management

Familiarity with risk management and compliance frameworks

Ability to communicate complex technical concepts to non-technical stakeholders



Management & Leadership Experience: 

 

Proven track record of driving successful innovation projects.

You have previously managed colleagues 

Experience in hiring and building out high performing Data Science teams 

You have experience in setting a strategic direction and running complex data science projects with multiple stakeholders 

You can influence senior stakeholders and have a passion for implementing change 

Experience in developing and managing partnerships with academic institutions

 

A background or strong understanding of the retail sector; logistics and/or ecommerce would be advantageous but is not required. 






Experience relevant for the job 



Experience of leading highly technical Data Science developments involving multiple stakeholders in AI governance

Experience in collaborating with legal; compliance; and technical teams to address AI governance issues.

Experience of coaching / mentoring others in technical approaches 

Experience if leading and managing AI innovation projects from conception to implementation.

Experience of partnering with technology teams to productionize developments and roll out at scale 





 

SIXT Data Science team helps our customers make better mobility decisions by transforming raw data into insights that power many of the products and features available on our website.

Our team develops mathematical models to solve complex business problems, and our work is critical to many areas including search, recommendations, sort, bidding, geography, and revenue management. As a leader of our group, you will collaborate with talented scientists to move the business forward using novel approaches and rich sources of data. If you are seeking an opportunity to apply your love of problem-solving to real-world problems in a stimulating and data-rich environment, we'd like to talk to you.

What you’ll do? – Perform as smoothly as our cars:

• Manage a team of highly skilled Data Scientists, fostering collaboration and maximizing business impact.
• You develop the end-to-end automation of data pipelines to make ingestion, transformation, and distribution of data more efficient and self-service for our users.
• Collaborate and empower Engineering and Product teams in making data-driven decisions.
• Ensure to build best-in-class products and models by defining evaluation metrics, delivering actionable user-insights, and leading experimentations.
• Own  end-to-end  business  problems/metrics  and  directly  impact  the  profitability  of  the company.
• Be  responsible  for  setting  up  best  practices  for  data/model  governance  and  analytics  life-cycle.
• Have a strong customer-centric approach to getting things done.

Be part of global process solution team for consulting, co-ordination and facilitation of “Intralogistics to Demand”  (Warehouse Management) process standardization and be part of global / local project rollouts on SAP R/3, S/4HANA

Contribution to Projects rollout / implementation

• Active participation with global project team for project rollout, process consulting, data cleansing activities, support in migration and testing during Go Live and stabilization
• Consultant for global rollout projects and process improvement deployments for Intralogistics to Demand (Warehouse Management)

Process Solution Management

• Ensure standard BBM business processes is adopted on SAP system with high quality and minimum variants (BBM-Bosch Business Mobility Solutions)
• Work on sustainable improvements for the business to initiate new process change requirements for the process chain.
• Develop, deploy and support cross-divisional solutions within the Bosch Business Mobility Sector. Strive for lean processes and best in class standard
• Participate and contribute for BR (Business Requirement) developments for the process chain
• Take lead in coordinating and addressing any India specific requirement of the process chain
• Experience in Warehouse Management, physical logistics processes, Inventory Management, packaging and knowledge on RFID solutions.

Process Incident Management

• Resolution of process incidents, able to solve problems intuitively and guide /advice internally and find solutions
• Provide knowledge base for problems and support for solution

Communication and Organization Change Management

• Open communication (sharing information, approaching people, network across divisions and functions) and high customer orientation
• Actively communicate with other SAP cross module consulting teams for solutions
• Identify training needs and provide expertise for training measures, in close collaboration with Process Owner, Process Delegates, Process Chain Manager
• Mentor the process support organization from business to acquire the required competency, through consultation and training.
• Active contribution in regular global / local process chain meetings

Be part of global process solution team for consulting, co-ordination and facilitation of “O2C-Order to Cash”  (Sales and Distribution) process standardization and be part of global / local project rollouts on SAP R/3, S/4HANA

Contribution to Projects rollout / implementation

• Active participation with global project team for project rollout, process consulting, data cleansing activities, support in migration and testing during Go Live and stabilization
• Consultant for global rollout projects and process improvement deployments for Order to Cash”  (Sales and Distribution) process area

Process Solution Management

• Ensure standard BBM business processes is adopted on SAP system with high quality and minimum variants (BBM-Bosch Business Mobility Solutions)
• Work on sustainable improvements for the business to initiate new process change requirements for the process chain.
• Develop, deploy and support cross-divisional solutions within the Bosch Business Mobility Sector. Strive for lean processes and best in class standard
• Participate and contribute for BR (Business Requirement) developments for the process chain
• Take lead in coordinating and addressing any India specific requirement of the process chain
• Experience with Order Management and Shipping related functions such as customer master data, scheduling agreements or single orders, multi level business, picking, load control, JIT, label handling and EDI processes in the automotive environment

Process Incident Management

• Resolution of process incidents, able to solve problems intuitively and guide /advice internally and find solutions
• Provide knowledge base for problems and support for solution

Communication and Organization Change Management

• Open communication (sharing information, approaching people, network across divisions and functions) and high customer orientation
• Actively communicate with other SAP cross module consulting teams for solutions
• Identify training needs and provide expertise for training measures, in close collaboration with Process Owner, Process Delegates, Process Chain Manager
• Mentor the process support organization from business to acquire the required competency, through consultation and training.
• Active contribution in regular global / local process chain meetings

• Preparing research reports and building and maintaining property market databases
• Following developments in the office markets in India closely, and monitoring developments in residential, industrial and other market sectors (mainly Bengaluru)
• Gathering market intelligence from primary and secondary sources
• Synthesise qualitative and quantitative data and draw meaningful insights
• Direct involvement in the production of diverse range of content, from presentations and reports for clients to articles and thought leadership reports to enhance the visibility of Colliers in the market
• Closely follow ongoing policy matters/ reform changes relating to the real estate sector and comment on the update on a regular basis

Laundryheap is the world's leading on-demand laundry delivery service. Our vision is to become the natural choice for all laundry needs of people around the world.

What do we do? Collect your laundry, clean it, pack it, and deliver it back to you in 24 hrs in markets across Europe, the Americas, Asia, and the Middle East.

We are looking for an experienced Associate Product Manager - User Research to join our global product team. You will join a dynamic and fast-paced environment and work with cross-functional teams to research, design, build, and roll out customer- and internal-facing products that deliver the company’s vision and strategy.

This role reports to the Head of Product.

Key responsibilities:

• Research Design: Design and conduct qualitative and quantitative research studies to understand customer behaviors, needs, and motivations. This includes online surveys, customer interviews, and monitoring of various internal feedback sources.
• Data Analysis: Analyze research and other data to identify patterns and insights that can inform product decisions and improvements.
• Collaboration: Work closely with product managers, designers, and engineers to integrate research findings into the product development process.
• User Testing: Conduct usability testing sessions to evaluate product prototypes and existing features for effectiveness and user satisfaction.
• Reporting: Present research findings and actionable recommendations to stakeholders to drive evidence-based decision-making.
• Documentation: Develop and maintain research documentation, including participant recruitment criteria, research questions, study guides, and findings reports.
• Strategic Influence: Influence product strategy and roadmap decisions by providing user-centered insights and advocating for user needs. Facilitate workshops and brainstorming sessions based on research findings to drive design and product innovation.
• Market Research: Conduct market research as needed to supplement user research and provide a comprehensive view of the market landscape.

• Minimum of 3 years of experience in user research or a similar role within a tech company.
• Strong grasp of qualitative and quantitative research methods, including expertise in customer interviews, surveys, usability testing, and data analysis using modern analytics tools as well as SQL.
• Excellent analytical skills with an ability to distill complex data into clear, actionable insights.
• Strong communication skills, with proficiency in presenting research findings to diverse audiences.
• A proactive, independent work style, capable of taking initiative in a fast-paced environment.

Work Schedule and Patterns:

• Location: Bengaluru
• 9-hour shift (8 working hours)
• 5 days a week
• Shift timings: 1:30 pm to 10:30 pm IST, i.e., 9 am to 6 pm BST
• Office-based role

We love to work with ambitious, proactive people who have a can-do attitude and are confident decision-makers. So, if this sounds like you, take this opportunity and apply to join the International Laundryheap Team today!

Responsibilities:

• Inspire, lead and grow a team of data scientist, Machine learning engineers, leads.
• Data Science and Technical leadership for product and across all engineering requirements.
• Clarify our Applied AI philosophy and engineering strategy to key stakeholders and drive consensus
• Continuously improve and drive engineering best practices around software engineering & lead the craftsmanship, resilience, and scalability of your solutions.
• Bring a passion to stay on top of AI trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
• Encourage innovation, implementation of cutting-edge technologies, inclusion outside-of-the-box thinking, teamwork, self-organization, and diversity.
• As a key member of the product engineering team, work with product management, architecture and professional services to deliver and maintain compelling products to market
• Ship great products under stringent deadlines and in the face of ambiguous requirements and changing business priorities.
• Be a champion for AI test discipline , and evaluation scores, in order to make AI capabilities more deterministic
• Reduce the time-to-insights window for new customers.
• Responsible for the overall development and release life cycle.

Job Description

Roles & Responsibilities

• Manage multiple clients and teams
• Build advanced machine learning models for Media Mix and Multi-Touch Attribution
• Turn complex data and models into practical and actionable marketing insights
• Support development of efficient and accurate project management plans for project delivery
• Need to have strong understanding of analytical solutions
• Analytics work, starting from data gathering, cleaning,transforming, building machine learning models & model validation
• Strong work ethic and drive to learn as much as possible within the digital marketing space
• Mentor and up-skill team on the analytics consulting career roadmap
• Spot opportunities that could potentially generate new business for Merkle within existing and new client accounts
• Support campaign strategy and planning with audience insights analysis, sizing and research using tools
• Document best practices and seek out opportunities to improve existing processes
• Manage campaign timelines and deliverables across internal and external teams

Who we are looking for?

At Epsilon, our people use real human insights to find solutions that empower some of the biggest brands in the world. Our team is now growing, and we are on the lookout for talented individuals who use descriptive, predictive and prescriptive analytics to impact consumer behaviour every day.

So, are you someone who enjoys leading conversations with influential stakeholders to help clients understand the value of their investments? Then you could be exactly who we are looking for.

Apply today and be part of a creative, innovative and talented team who constantly share insights, solve problems and create the remarkable.

What you’ll do?

The Digital Analytics team in the Client Analytics Group works on client engagements and related delivery for People Cloud Prospect & Discovery environments. The team also partners with client consulting team and platform team and data providers, leveraging analytics and data science to drive strategic thought and effective decision making. The Manager, Data Science is responsible for delivery from multiple client accounts by working with Data Scientists and managing analytic initiatives from conception to completion, providing clients and key stakeholders actionable results and insights that help them achieve their business objectives

Roles & Responsibilities:

Operational

• Serve as project lead on most types of analyses performed by the group – develop project plans and manage work efforts of supporting team members
• Assess client business and marketing challenges, as well as data assets, and recommend the most appropriate analytic methodology to meet client goals
• Manage multiple projects and client accounts simultaneously, while serving as the primary point of contact with the Epsilon account team and clients
• Monitor project resources and track progress against task plans to ensure on-time and on-budget project delivery
• Document communication with clients to manage expectations and negotiate deadlines
• Present analytic findings and statistical results to account teams and clients
• Participate in project design, planning and execution, and provide pre-sales support and run proof of concept (POC) for account / sales teams
• Ability to perform hands-on analysis on large volumes of customer’s first-party data and third-party data to provide statistically valid analysis and related outputs
• Design and Implement Machine learning models using Spark ML and Python/Pyspark
• Own end to end implementations of Marketing machine learning models such as Customer Segmentation, Propensity models, CLTV etc.
• Create engaging and meaningful data visualizations / power point presentations of findings linked to clear client business impact.

Functional

• Lead, manage, mentor and train a team of 10+ Data Scientists to implement the organizations vision and the roadmap with the help of the team members
• Provide thought leadership to improve existing processes and incorporate new processes to help team deliver exceptional analytical solutions
• Ensure that your team is engaged and motivated to excel in their roles and are being productively utilized on billable projects
• Guide your team to follow all policies and procedures for programming, project documentation and other processes as defined by the organisation
• Become proficient with Epsilon data assets
• Be an active learner - learn new and state of the art tools, technologies, algorithms and methodologies to be at the edge of data science learnings
• Collaborate well with cross-functional internal teams as needed to drive results

• Lead, mentor and manage a team of data scientists, machine learning engineers, and researchers
• Define OKRs and roadmaps for the team aligned with business goals
• Oversee the end-to-end development of machine learning models and data products, ensuring high quality standards
• Stay up-to-date on advances in AI/ML and lead integration of appropriate new technologies
• Implement processes for rigorous testing, validation and monitoring of machine learning models
• Identify and facilitate professional growth and skill development within the team
• Provide technical guidance to the team and set standards for innovation
• Balance delivery of rapid value with investment in innovative but high-impact solutions
• Collaborate cross-functionally with business, product, and engineering teams to identify and execute on AI/ML opportunities
• Manage workloads and provide prioritization guidance to optimize efficiency
• Establish success metrics and regularly report progress to executives